第 218 期·中文精讀

杰倫·拉尼爾:虛擬現實、社交媒體與人類和 AI 的未來

Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI

虛擬現實先驅批評社交媒體的經濟邏輯,討論技術設計如何影響人的自主性與 AI 時代的方向。

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中文精讀由 AI 基於原始訪談改寫,非官方翻譯,可能存在偏差或錯誤;表述以原音訊與官方文稿為準。說明

杰倫·拉尼爾(Jaron Lanier)有一個習慣:每當有人問他“我們會不會有一天在虛擬世界裡度過一生”,他都會講同一個故事。他說,虛擬現實裡最珍貴的時刻,是你摘下頭顯的那一瞬間。你的感官被重新校準,你像新生兒一樣重新看見物理世界,發現它原來如此奇怪、脆弱、不可思議。

他管這個叫“過渡”。而且他堅持認為,過渡比模擬本身更有價值。

這個人在1980年代就做出了世界上第一個外科手術模擬器,當時他和斯坦福醫學院的喬·羅森(Joe Rosen)醫生合作。他說,外科醫生從模擬的假解剖結構走到真實病人面前時,會突然被“喚醒”。那個從假到真的跳躍,比在假世界裡練一百遍手術更有衝擊力。

拉尼爾是虛擬現實這個領域的創始人,但他可能是最不沉迷虛擬世界的VR先驅。這個矛盾貫穿了整場對話,也貫穿了他整個思想體系:他造工具,但他始終警惕工具對使用者的塑造。

軟體是歷史的奴隸,物理世界不是

拉尼爾對軟體的評價毫不客氣。他說軟體是“很糟糕的東西”,永遠被自己的歷史、自己的遺留問題綁架,永遠雜亂、隨意、充滿任意性。跟軟體打交道會激發人身上一種“書呆子人格”,而他自己並不喜歡那種人格。

物理世界完全不同。它不是任何人設計的,也不是任何人能完全理解的。拉尼爾說,當你把一個虛擬物體放在一棵真樹旁邊,真樹會突然“跳出來”變得驚人:它是互動式的,它在細微地持續變化,它需要你集中注意力才能察覺。而虛擬物體反而讓你學會了如何注意真樹。

這就是他反覆強調的那個觀點:媒介技術送出的最大禮物,是讓人看見媒介自身的缺陷,從而更欣賞現實。

他舉了一連串歷史例子。早年有同行評審論文證明,用鋼絲錄音機在幕布後播放歌劇演員的錄音,聽眾無法分辨真假。今天我們會覺得那種錄音糟糕得離譜。1930年代紐約到華盛頓之間有一次極其粗糙的視訊會議演示,當時的人覺得完全逼真、無法分辨,今天看來畫質慘不忍睹。美國內戰時期,有流動攝影師收集長相接近某些原型的人的照片,人們買一張長得像自己親人的照片來寄託思念,因為拍照本身不可想象,僱畫師又太貴。

“也許攝影最大的禮物,是我們能看見照片中的瑕疵,從而更欣賞現實。也許錄音最大的禮物,是我們現在能把那個歌劇演員和鋼絲錄音機裡的她區分開來。”

拉尼爾用這些例子反駁一種隱含的假設:人的感知能力是固定的。他說人一直在學習、演化、自我程式設計、適應變化。因此,那個經典問題“技術會不會發展到我們無法分辨真假”,其實問錯了。因為“分辨能力”本身是變數,不是常量。

宇宙是不是計算機,這是個沒意義的問題

拉尼爾對“我們是否生活在模擬中”這個流行話題有自己的態度。他說,如果你問“宇宙是不是某種計算機”,那答案只能是“是”,因為如果它不是,它就不會遵循一致的原則,就不會是可理解的。我們能用技術程式設計它,說明它在某種意義上就是計算機。

但接下來那一步是危險的:從“它是某種計算機”跳到“我們知道它是哪種計算機”,甚至“它是一臺通用圖靈機”。拉尼爾稱圖靈機為“挑逗者”。他說,圖靈機的通用性建立在無限聰明的程式設計師、無限時間、無限記憶體、無限時鐘速度之上,而這些在現實中都不存在。所以圖靈機在實踐中根本不通用,它只是特定約束條件下的一種特定機器。

“把宇宙理解為一臺圖靈機,可能是愚蠢的做法。因為圖靈機需要一個外部時鐘、一個觀察者、有輸入和輸出。它暗示著一個更大的上下文,否則它根本無法被定義。你沒法用圖靈機連貫地談論宇宙。”

他把這個話題引向了一個更深的方法論問題。他說,很多終極問題的提問方式本身就藏著一個錯誤假設:人的感知能力是固定的,所以“逼真到什麼程度人就分辨不出來”這種問題才有意義。但真實情況是,人一直在變。

他順便批評了那種沉溺於“我們是否在模擬中”的人。他說他希望這些人退一步,想想自己的動機到底是什麼,想想自己到底在說什麼。這類框架性大問題的危險在於,它讓人假裝自己知道的比實際多。

自由就是永久的煩惱

對話進行到比特幣和加密貨幣時,拉尼爾的立場很清晰。他長期倡導某種形式的數字貨幣,但比特幣白皮書出現時,他說自己的心“沉了下去”。因為他看到的是一群人用極其精巧的分散式安全機制,去重建金本位。在他看來這既復古又低效,從經濟角度毫無用處。

更讓他不滿的是,用無邊界規模的計算低效來充當安全機制,是對大氣層的犯罪。他說這在第一版論文出現時大家就知道了,很多人當時就說這東西是個碳災難。

他承認社群裡有人在認真思考更好的方案,比如維塔利克·布特林(Vitalik Buterin)。但他對加密貨幣的實際效果持懷疑態度。他說比特幣所有權很集中,有大量身份不明的早期巨鯨,有證據表明其中不少不是你想支援的那種人。而比特幣交易整體上支援犯罪多於支援生產力。

“我一直在密切關注它。我沒有見過一個它創造經濟增長的例子。”

他更在意的是背後的動機。他說,那種“政府是問題”的執念,本質上是逃避政治。他給出了一個他自己很得意的定義:

“關於自由,我的理論是,唯一真實的自由形式是永久的煩惱。煩惱意味著你真的在和別人打交道,因為人是煩人的。永久意味著這種煩惱是可承受的,不會毀滅所有人。所以如果你有永久的煩惱,你就有自由。”

他邀請對方去參加一次伯克利市議會會議,體驗一下什麼叫“永久的煩惱”。他說,如果你不被別人煩到,你就沒有自由,你被困在某個暫時性的幻覺裡,早晚會崩塌。

他進一步說,把問題歸咎於政府是一種錯覺。問題也可能是犯罪團伙、怪異教派、濫用職權的神職人員、失效的基礎設施、被汙染的水源、崩潰的電網、糟糕的教育系統。只盯著一類問題,其他問題就會冒出來。

但他也承認,他自己成長於蘇聯,妻子的父親被送進古拉格,他父親一方几乎所有親屬都在烏克蘭的一場大屠殺中被殺。所以他對政府的看法不是天真的樂觀。他的立場是:政府有時確實能做好事,政治是人類不得不彼此打交道的現實。

加密貨幣給年輕人的希望,是令人心碎的

拉尼爾提到自己和一些早期比特幣參與者爭論過,他當時就說這東西本質上是龐氏騙局,早期的人比後期的人拿得多,越往後越接近賭博動態。

有人給他一個辯護:賭博讓人體驗到“希望”,而很多人生活中沒有別的希望來源。拉尼爾說這個論點讓他覺得心碎。他見過一些投資加密貨幣的年輕人,那確實是他們第一次感到希望。而他認為這恰恰是問題所在。

“我很抱歉這麼說,但從長期看,金錢不會成為深層意義的來源。有足夠的錢是好事,但它不該是希望的來源。讓我心碎的是,對多少人來說它就是希望的來源。”

他把這稱為“病毒式傳播的心理學”,或者說“試圖把文明建立在網路效應高峰的半隨機出現之上”的心理學。他說這種模式行不通,需要把這些高峰削平。

他不相信 AI,只相信演算法

整場對話裡,拉尼爾最尖銳的部分出現在這裡。他直說:

“我不相信 AI。我認為不存在 AI。只有演算法,我們製造它們,我們控制它們。它們是工具,不是生物。”

他承認這種說法會冒犯很多人,而且他很清楚這一點。他年輕時的主要導師是馬文·明斯基(Marvin Minsky),而明斯基正是“計算機作為生物”這套修辭的主要作者。拉尼爾說自己一直拒絕這套東西,他們為此爭論了幾十年。他記得最後一次見明斯基時,對方已經非常虛弱,有共同的朋友勸他別跟明斯基爭論 AI。他還是去了,明斯基抬頭看著他,說:“你準備好爭論了嗎?”

拉尼爾說,沒人能聲稱自己絕對知道別人或別的東西是否有意識,這完全是信仰問題。他早年把這個概念叫做“同理心之環”。你畫一個圈,圈內是更像你的東西,可能有意識,可能值得你的共情和考量;圈外是石頭之類的東西。這個圈從根本上建立在信仰之上。

但這個圈不能是純粹的信仰,它同時是一個務實決定。圈畫得太大,你會陷入無能:如果你不想殺死任何細菌,你就沒法刷牙。圈畫得太小,你會變得殘忍。人天生是部落性的、政治性的,總是急於把某些群體踢出圈外。

當被問到“你是不是把 AI 踢出了圈外”時,拉尼爾說,如果你把 AI 納入圈內,你就剝奪了自己作為優秀工程師或設計師的能力,你立刻陷入無能。所以他的結論是:我們必須讓演算法從屬於我們,對它們保持高度懷疑。

社交媒體真正在做什麼

拉尼爾對社交媒體的批評很具體。他說,社交媒體演算法依賴反饋迴圈:給你刺激,看你是否回應。問題在於測量機制極其粗糙,只能捕捉你比較劇烈的反應,而劇烈的反應就是戰鬥或逃跑反應,就是你被嚇到、被激怒、變得好鬥或興奮的反應。這些是古老的“蜥蜴腦”迴路。

“所以就在你被捲入互動的時候,你會逐漸變得更多疑、更排外、更好鬥。你會變蠢,會變成混蛋。它是慢慢發生的,不是每個人瞬間被轉化,但確實會漸進地發生,被鉤住的人會被越來越深地拉進這種最糟糕的狀態。”

他做過實驗。因為 YouTube 規模太大,很難得到統計上可靠的結果,但他和高中的孩子們一起做過很多次。大多數情況下,大約十七八跳之後,你會進入非常怪異、偏執、荒誕的領域。因為那正是演算法最獎勵的東西,正是因為反饋機制的粗糙。

“我不是說 YouTube 從不推薦好東西。我是說它的根本核心是推崇偏執風格,推崇越來越強的易怒、排外、恐懼、憤怒、自私,推崇人與人之間的分裂。”

他擔心的是,如果做大規模公民科學實驗,YouTube 會檢測到然後改變行為。

他提出了一個他覺得很重要的觀察:幾乎所有做大的社交媒體平臺都有一個蜜月期,那時候它們其實挺甜、挺可愛。Twitter 早年很甜,Snap、TikTok 也是。但隨著規模擴大,演算法取代了早期使用者成為主導力量,偏執風格就開始上升,平臺開始變暗。他說 TikTok 最近就經歷了這種轉變。

GitHub 的毒性和它的秘密

拉尼爾對 GitHub 評價很高。他說 GitHub 的“毒性指數”相對很低,這很有意思。他分析原因:在 GitHub 上,人們有真實的利益攸關。那裡流動的是真實的程式碼、真實被完成的東西,空洞的地位遊戲佔的比重小得多。一旦你在某件事上有真實利害,你就有動機不去破壞它。

他說,如果一個人在 TikTok 上靠踩別人獲得一點關注,他不用付出任何代價。但在 GitHub 上,人們有共同的利益,所以必須得體。

不過他也提出了一個反直覺的警告:如果平臺能利用“你有利益攸關”這一點來操縱你,因為你想保住你的利益,那它也能反過來控制你。

資料尊嚴:兩個未來的對比

拉尼爾最完整的建設性提案出現在這裡,他稱之為“資料尊嚴”(Data Dignity),之前在一本叫《誰擁有未來》的書裡寫過早期版本。

他住在伯克利山上。隨著氣候變化,山火可能燒掉他們的房子甚至要命。誰在保護他們?市政府做了一些事,電力公司勉強算,房產主照顧自己的地產。但還有一層中間層讓他著迷:那些在山坡上上下下工作的園丁,很多人沒有合法身份,很多人不會說英語,他們彼此合作,確保樹木不互相接觸,避免火從一塊地蔓延到另一塊地。這是保護他們安全的一整張小小網路。

他用這群人對比兩個未來。

未來一(正在發生的未來):一輛畫著幼兒園塗鴉的奇怪麵包車開上山,車上裝滿了攝像頭和各種奇怪裝置,觀察園丁在做什麼。幾年後,能爬樹的機器人出現,那些園丁失業了。機器人很好,能覆蓋更多土地,確實有效。但那些園丁失去了尊嚴,不知道自己該做什麼。有人說,那就發基本收入吧,他們成為國家的被救濟者。拉尼爾說,歷史上每一次有某個中心化機構發放福利,它都會被某些人奪走,因為太中心化。他見過的每一個共產主義實驗都是這樣。所以這個未來不穩定,在政治上會是一場災難。有人會說,那就讓演算法來發。但人們會奪走演算法,會奪取控制權。

未來二(資料尊嚴):園丁們看到那輛裝滿攝像頭的麵包車,他們說:“機器人要來了。我們要成立資料工會。”加州正好有一個小小的資料工會法律在萌芽。他們說,我們不僅要把資料賣給這家公司,還要讓資料比他們直接抓取要好得多。我們要改進它,讓機器人更有效,我們要為此感到驕傲。我們要成為被尊重的新專家階層。

兩個未來最大的區別落在人身上,技術層面完全相同。未來二里有更多驕傲、更多主人翁感、更多能動性。而且機器人做的事情也變了:從單純防止社群燒燬,變成一整群有創造力的社群在思考如何讓機器人更好,如何繼續賺錢。會出現一波又一波的創造性園藝,會出現新的想法:能不能用這個做氣候緩解?能不能做淡水?能不能讓食物更健康?

“未來一和未來二有同樣的機器人、同樣的演算法。沒有技術差別,只有人的差別。第二個未來,就是資料尊嚴。”

他描述的經濟模型是一個誠實的測量裝置。如果它是誠實的,人的收入分佈會形成正態分佈、鐘形曲線。有少數人做得非常好,很多人做得還行。然後經濟應該擴張,反映越來越多的創造力和專業技能在網路上流動。這樣從系統中拿錢的人比投錢進去的人多,經濟逐漸擴張,水漲船高。社會必須支援鐘形曲線下方的那一翼,但這不是普遍基本收入,因為如果經濟是誠實的,就會有那一翼,必須有一個安全網。

他說,未來會有越來越多的演算法和機器人,也會出現越來越多的細分領域。不是每個人都要給園藝機器人提供資料,也不是每個人都要靠 TikTok 影片謀生。但會有很多、很多、很多這樣的細分領域演化出來,正是這個龐大的數量,會創造出經濟潛力,讓社會很大一部分人成為新的創造性階層。

“TikTok 加 GitHub”的混合未來

拉尼爾想象了一個未來:很多人想靠做 TikTok 舞蹈影片謀生,但大家普遍知道這很難進。不過舞蹈團隊的經歷和程式設計師在 GitHub 上協作非常相似。所以未來是 TikTok 和 GitHub 的混合體,人們聚在一起,擁有權利,為回報談判,加入不同的藝術家協會來緩衝網路效應收益的隨機性,因為沒人能預知誰會爆紅。

他說一個人一生中可能會加入一千個不同的資料工會,甚至一萬個。有些只是為了一些瑣碎的東西給你一點小錢,比如你為健康研究貢獻了資料。但人們會找到自己的路,會找到合適的 GitHub 式社群,在那裡發現自己的價值:為未來的演算法和機器人提供輸入、資料、品味和糾正。

“這是一種對抗蜥蜴腦式融資機制的替代經濟系統。它獎勵生產力、創造力、被他人感知到的價值。它是一個真正的市場。它不是從中心發放的。不是某個共產主義者在決定誰有價值。它是真實的市場。錢是透過支援這個來賺的,而不是用最廉價的方式抓取人的注意力,而那恰恰是通向蜥蜴腦的方式。”

音樂、母親與死亡

對話在音樂和死亡這兩個話題上變得非常私密。

拉尼爾說音樂“高聳在他之上”,他對自己沒有全域性視角。他說音樂在某種意義上很簡單,你可以說它是人類演化出來協調大腦模式層面的東西。但它同時又有一種“實質性”,一種哲學上不可能存在的實質感。他說自己不知道該怎麼處理這一點。

“我在對的時刻聽到對的歌時所感受到的理解,跟我在維基百科上讀到的任何東西都不可比擬,跟任何我能用語言讀到、理解到的東西都不可比擬。音樂確實把我們連線到某種東西。”

他說音樂讓他相信泛心論(panpsychism)可能是真的,即宇宙萬物都有意識。但他本人不是泛心論者。他說他會驕傲地做一個“對人和貓而言的二元論者”。他說,如果聽任何一個試圖用二元論解釋意識的人講話,無論是相信靈魂還是相信大腦裡有某種特殊東西,你基本上都會說,算了,我還是當泛心論者吧。

談到母親時,拉尼爾說母親是維也納的鋼琴神童,在集中營倖存下來,後來在美國的一場車禍中去世。他仍然透過音樂和她連線。

他回憶自己小時候為母親學彈貝多芬奏鳴曲,彈得誇張、煽情。對方問,誇張的意思是情感過滿嗎?拉尼爾說,那時候他以為這是唯一彈貝多芬的方式。他說現在的時尚是彈貝多芬也要稍微阿波羅式一點,但想象中貝多芬自己彈可能不一樣。

他說自己一直反對古典音樂的臨床式精確。他認為一個偉大的鋼琴家應該像是在承受痛苦,真正感受音樂,讓它變得凌亂,也許像布魯斯鋼琴家彈布魯斯那樣彈古典音樂。他提到一個很棒的現代主義作曲家波琳·奧利弗羅斯(Pauline Oliveros),他曾在她樂隊裡彈過一段時間。她說貝多芬是“最糟糕的音樂”,“全是自我”,“把情感變成你的敵人”,“最終都是關於你自己的重要性,而這必然以他人為代價”。拉尼爾說這很有意思,因為他一直把貝多芬當成神一樣的人物。

他說他仍然喜歡彈《月光奏鳴曲》,雖然這是陳詞濫調。他提到喬恩·巴蒂斯特(Jon Batiste),《科爾伯特秀》的樂隊領隊,會坐在那裡彈爵士,然後突然轉到《月光》。巴蒂斯特能找到一種方式彈貝多芬,而且他真的能彈,他在朱利亞德受過訓練。有一次在拉尼爾家,巴蒂斯特說,你有貝多芬奏鳴曲的譜子嗎?我想找一首我還沒彈過的。然後他視奏了整本譜子,完美無缺。拉尼爾說,天哪,我出去吧,我受不了了。

他說巴蒂斯特有一種方式,用同一個人格和哲學從布魯斯轉到貝多芬,這對他非常迷人。巴蒂斯特談起貝多芬就像在跟一個音樂家對話。而對拉尼爾來說,貝多芬被介紹成一個近乎神一樣的人物,這是一種很難對付的藝術壓力。

關於死亡的恐懼

拉尼爾寫過一篇關於死亡和意識的文章,發表在《意識研究期刊》上。他說當時感興趣的是,對死亡的恐懼和否認,如何影響不同的意識哲學路徑。

他說,一方面,那種感傷的二元論學派,即相信有某種脫離物理大腦的東西、某種靈魂,顯然是被一種希望所驅動:無論那是什麼,都會在死亡後存活。這是很多世界宗教的核心。另一方面,那些硬核的反面,即“大腦就是計算機,就這樣”,實際上被同樣方式驅動,論證鏈條驚人相似:不,大腦是計算機,我會在有生之年搞明白它,把自己上傳,然後永遠活著。

“在一種有趣的方式上,這是同一回事。”

他注意到那些看起來在性格、文化參照和觀念上完全對立的人,實際上驚人地相似。那種硬核的計算主義大腦觀,已經變成了中世紀的基督教:有人害怕如果你有錯誤的想法,你會惹惱未來的超級 AI,它們會回來電擊你。這真的又變成了中世紀的基督教。

對方問,如果對死亡的恐懼是核心,它是不是意識的前提條件?拉尼爾說這問題他沒法直接回答,需要一次大規模解構。

談到自己的死亡時,他說他以前無法面對,但隨著年齡增長,你會認識死去的人,這些事變得熟悉、變得平常。他還害怕嗎?他說當然,但沒那麼怕了。他說這種變化來自熟悉感,跟洞見或啟示無關。他說他相信未來。他有這種樂觀:人類,或者地球上生命的整體,這個我們所屬的整體,會去往某個地方,有某種價值。

“你不能既相信未來又想永遠活著。你必須為未來騰出空間。那種樂觀必須帶著它自己的謙卑。你必須讓自己變小,才能相信未來。所以它以某種有趣的方式安慰我。”

他說樂觀需要在某個時刻退場。生活看起來很短,但就這樣吧。

意義是個錯誤的問題

談到生命的意義時,拉尼爾說“意義”是個有趣的詞。我們說出這些東西,好像我們知道它們是什麼意思,但其實我們顯然不知道。它最終連線到二元論者相信的那種體驗感。

他說,當你仰望星空,感受到那種令人敬畏的喜悅,那種奇怪的、也許帶一點憂鬱的情感混合物,最終的問題就是:我們為什麼在這個浩瀚的宇宙裡?為什麼?

他說自己的衝動是覺得這問題不太對,但走那條路太無聊了,他不想展開。他說,因為我們不知道意義是什麼,但他知道那種敬畏感。他在新墨西哥州南部長大,星星非常清晰。他有過一些奇怪的不幸,也有過一些奇怪的幸運。他的一個近鄰是白沙導彈靶場光學研究的負責人,年輕時發現了冥王星,名叫克萊德·湯博(Clyde Tombaugh)。湯博教他做望遠鏡,磨鏡片。他父親小時候也做過望遠鏡,但湯博的後院望遠鏡能讓很多專業裝置相形見絀。他記得湯博會讓他過去一起玩,看一個球狀星團,你看到的是真實的光子。好的望遠鏡裡,那個物體是真正的三維物體,你能感受到它的浩瀚。他說自己非常幸運,小時候能以那種方式和天空建立連線。

他提到一個想法,他不記得是誰說的:如果早期人類看不到星星,如果地球大氣總是多雲,我們就不會發展出人類文明。能抬頭看見浩瀚宇宙,對文明發展是根本性的。這讓他想起阿西莫夫的一個老故事,講一個星球上的人偶爾才看到天空,結果發現他們身處一個球狀星團的中央,到處都是星星。

他說他想到了所有在多雲天空下成長的文明。維京人需要一種特殊的衍射雲母片來導航,因為他們永遠看不到太陽。他們有一種叫“太陽石”的東西,從某個洞穴裡發現的,用來衍射光線,對齊太陽的真實位置,因為他們無法用眼睛判斷。他說亞馬遜人發明了我們的農業,他們可能也常常在多雲天空下。

回到意義的問題,拉尼爾說,有時人們會犯一個錯誤:用一個在某個上下文裡定義的問題或思想實驗,去解釋沒有更大上下文的東西。這屬於範疇錯誤。他說,在物理或電腦科學裡,很難把宇宙當作圖靈機來談論,因為圖靈機有外部時鐘、觀察者、輸入輸出,它暗示著一個更大的上下文才能被定義。量子力學也是這樣,它有外部時鐘,有某種外部上下文,取決於你的解釋。

“如果你有一個用外部上下文定義的東西,你就不能用它談論終極問題,因為顯然它不適合這個。意義是在上下文中的,談論終極意義因此是一個範疇錯誤。它不是一個可解決的思想方式。它可能是一種在體驗上或美學上有價值的思想方式,因為它令人敬畏,但試圖分析地對待它是不合理的。”

對方問,也許這正是音樂和詩歌能做的?拉尼爾說,也許吧。音樂確實逃脫了任何特定上下文,至少他是這麼感覺的。但他不確定。他說,這又是那個瘋狂的藝術家在說話,不是科學家。

給年輕人的建議

被問到給年輕人的建議時,拉尼爾先說了實話:定義他的時刻不是好時刻,往往是可怕的時刻。他母親的死,在世貿中心底下經歷9·11襲擊,這些才是對他影響最大的事。他說這就是給年輕人建議最難的地方,他們必須自己學教訓,而教訓來得不容易。一個避免艱難教訓的世界會是一個愚蠢的世界。

他說他不想讓年輕人經歷一切,他們值得有一個愉快的天真期。但他還是給了幾條建議。

第一條:試著真正關注你根本上在感受什麼,你對世界的感知是什麼,你的直覺是什麼。試著逃脫社會感知或操縱的持續擺佈。完全逃脫太可怕了,但可以偶爾找到掩護,找到一種紮根的感覺,相信體驗是一件真實的事。

“相信體驗是一件真實的事,這非常二元論。這和我的二元論哲學一致。我相信有某種神奇的東西。與其把魔法粉塵撒在程式上,我認為體驗是某種真實的東西,某種分離的東西,某種神秘的東西。”

第二條:認識到善良需要天才。善良實際上非常難。輕率的善良不是善良。你需要一段時間才能擁有技能,讓善良的衝動變成有效的善良。要做到有效善良很難,需要艱難的教訓。你永遠不會完美。但你越能做到,它就是最有回報的事。

第三條:年輕時你可能會被社交和人際情感壓垮。你會心碎、嫉妒,會覺得自己在社會階梯的下面而不是上面。那些事發生時感覺非常可怕。你必須記住,所有那些東西都只是一層脆弱的硬殼。這很難,因為事情發生時它太強烈了。

他說,如果他對自己的女兒講這些,她早就離開房間了。這些是說給一個不太存在、真的想坐著聽他聲音的假想青少年聽的。

一個關於未來的行動清單

拉尼爾在這場對話裡給出了一條完整的替代路徑。如果你想參與其中,可以從這些具體的事開始:

  • 做一次“20跳”實驗:找一個匿名環境,讓推薦演算法帶你走十七八跳,看看你會落到哪裡。你會親身體驗到反饋機制粗糙帶來的偏執漂移。
  • 退出或減少社交媒體,觀察30天后的自己:拉尼爾收到大量郵件,人們說退出後狀態好得多。他自己的郵箱是“超級糟糕的老式網站上的一個老式郵箱”,他不讓社交媒體賬號成為入口。
  • 支援那些有真實利益攸關的平臺:GitHub 毒性低,因為人們在那裡有真實的東西要被完成。選擇參與那些你的貢獻有實際後果、有實際代價的社群。
  • 推動資料工會的思路:如果你在貢獻內容或資料,試著尋找或組織同類人的集體談判結構。加州已經在萌芽資料工會法律。一個人一生可能屬於上千個資料工會。
  • 要求三件事:對你的資料的完整控制權和透明度、隨時一鍵帶走資料的權利、以及每個人對自己的推薦演算法的個體化控制權。這三個要求是對現有平臺的直接挑戰。
  • 對演算法保持懷疑,但不必反對技術:拉尼爾說他不反數字技術,他反對的是操縱性經濟。把演算法當工具,不當生物。你讓演算法從屬於你,而不是反過來。
  • 去體驗一下真實世界:仰望星空,用一臺真正的望遠鏡看一個球狀星團,看看那些真實的光子。或者,摘下頭顯,感受感官被重新校準的那一刻。物理世界仍然是奇蹟的所在。

最後一條建議來自他自己的話:要相信體驗是一件真實的事,並且偶爾靜下來,聽一聽那個被社會噪音蓋住的聲音。他說,真正的友誼應當把每個人介紹給對方身上意想不到的怪誕之處。也許這也可以用來對待你自己:認識你身上那個還沒被演算法推薦塑造過的部分。

文稿來自公開 Kaggle 資料集(rajneesh231/lex-fridman-podcast-transcript),為早期自動轉錄存檔,可能存在識別錯誤。
The following is a conversation with Jaron Lanier, a computer scientist, visual artist, philosopher, writer, futurist, musician, and the founder of the field of virtual reality. To support this podcast, please check out our sponsors in the description. As a side note, you may know that Jaron is a staunch critic of social media platforms. Him and I agree on many aspects of this, except perhaps I am more optimistic about it being possible to build better platforms. And better artificial intelligence systems that put longterm interests and happiness of human beings first. Let me also say a general comment about these conversations. I try to make sure I prepare well, remove my ego from the picture, and focus on making the other person shine as we try to explore the most beautiful and insightful ideas in their mind. This can be challenging when the ideas that are close to my heart are being criticized. In those cases, I do offer a little pushback, but respectfully, and then move on, trying to have the other person come out looking wiser in the exchange. I think there's no such thing as winning in conversations, nor in life. My goal is to learn and to have fun. I ask that you don't see my approach to these conversations as weakness. It is not. It is my attempt at showing respect and love for the other person. That said, I also often just do a bad job of talking, but you probably already knew that. So please give me a pass on that as well. This is the Lex Friedman Podcast, and here is my conversation with Jaron Lanier. You're considered the founding father of virtual reality. Do you think we will one day spend most or all of our lives in virtual reality worlds? I have always found the very most valuable moment in virtual reality to be the moment when you take off the headset and your senses are refreshed and you perceive physicality afresh, as if you were a newborn baby, but with a little more experience. So you can really notice just how incredibly strange and delicate and peculiar and impossible the real world is. So the magic is, and perhaps forever will be in the physical world. Well, that's my take on it. That's just me. I mean, I think I don't get to tell everybody else how to think or how to experience virtual reality. And at this point, there have been multiple generations of younger people who've come along and liberated me from having to worry about these things. But I should say also even in what some, well, I called it mixed reality, back in the day, and these days it's called augmented reality, but with something like a HoloLens, even then, like one of my favorite things is to augment a forest, not because I think the forest needs augmentation, but when you look at the augmentation next to a real tree, the real tree just pops out as being astounding, it's interactive, it's changing slightly all the time if you pay attention, and it's hard to pay attention to that, but when you compare it to virtual reality, all of a sudden you do. And even in practical applications, my favorite early application of virtual reality, which we prototyped going back to the 80s when I was working with Dr. Joe Rosen at Stanford Med near where we are now, we made the first surgical simulator. And to go from the fake anatomy of the simulation, which is incredibly valuable for many things, for designing procedures, for training, for all kinds of things, then to go to the real world is then to go to the real person, boy, it's really something like surgeons really get woken up by that transition, it's very cool. So I think the transition is actually more valuable than the simulation. That's fascinating, I never really thought about that. It's almost, it's like traveling elsewhere in the physical space can help you appreciate how much you value your home once you return. Well, that's how I take it. I mean, once again, people have different attitudes towards it, all are welcome. What do you think is the difference between the virtual world and the physical meat space world that you are still drawn, for you personally, still drawn to the physical world? Like there clearly then is a distinction. Is there some fundamental distinction or is it the peculiarities of the current set of technology? In terms of the kind of virtual reality that we have now, it's made of software and software is terrible stuff. Software is always the slave of its own history, its own legacy. It's always infinitely arbitrarily messy and arbitrary. Working with it brings out a certain kind of nerdy personality in people, or at least in me, which I'm not that fond of. And there are all kinds of things about software I don't like. And so that's different from the physical world. It's not something we understand, as you just pointed out. On the other hand, I'm a little mystified when people ask me, well, do you think the universe is a computer? And I have to say, well, I mean, what on earth could you possibly mean if you say it isn't a computer? If it isn't a computer, it wouldn't follow principles consistently and it wouldn't be intelligible because what else is a computer ultimately? I mean, and we have physics, we have technology, so we can do technology so we can program it. So, I mean, of course it's some kind of computer, but I think trying to understand it as a Turing machine is probably a foolish approach. Right, that's the question, whether it performs, this computer we call the universe, performs the kind of computation that can be modeled as a universal Turing machine, or is it something much more fancy, so fancy, in fact, that it may be beyond our cognitive capabilities to understand? Turing machines are kind of, I call them teases in a way, because if you have an infinitely smart programmer with an infinite amount of time, an infinite amount of memory, and an infinite clock speed, then they're universal, but that cannot exist. So they're not universal in practice. And they actually are, in practice, a very particular sort of machine within the constraints, within the conservation principles of any reality that's worth being in, probably. And so I think universality of a particular model is probably a deceptive way to think, even though at some sort of limit, of course something like that's gotta be true at some sort of high enough limit, but it's just not accessible to us, so what's the point? Well, to me, the question of whether we're living inside a computer or a simulation is interesting in the following way. There's a technical question that's here. How difficult is it to build a machine, not that simulates the universe, but that makes it sufficiently realistic that we wouldn't know the difference, or better yet, sufficiently realistic that we would kinda know the difference, but we would prefer to stay in the virtual world anyway? I wanna give you a few different answers. I wanna give you the one that I think has the most practical importance to human beings right now, which is that there's a kind of an assertion sort of built into the way the questions usually asked that I think is false, which is a suggestion that people have a fixed level of ability to perceive reality in a given way. And actually, people are always learning, evolving, forming themselves. We're fluid, too. We're also programmable, self programmable, changing, adapting. And so my favorite way to get at this is to talk about the history of other media. So for instance, there was a peer review paper that showed that an early wire recorder playing back an opera singer behind a curtain was indistinguishable from a real opera singer. And so now, of course, to us, it would not only be distinguishable, but it would be very blatant because the recording would be horrible. But to the people at the time, without the experience of it, it seemed plausible. There was an early demonstration of extremely crude video teleconferencing between New York and DC in the 30s, I think so, that people viewed as being absolutely realistic and indistinguishable, which to us would be horrible. And there are many other examples. Another one, one of my favorite ones, is in the Civil War era, there were itinerant photographers who collected photographs of people who just looked kind of like a few archetypes. So you could buy a photo of somebody who looked kind of like your loved one to remind you of that person because actually photographing them was inconceivable and hiring a painter was too expensive and you didn't have any way for the painter to represent them remotely anyway. How would they even know what they looked like? So these are all great examples of how in the early days of different media, we perceived the media as being really great, but then we evolved through the experience of the media. This gets back to what I was saying. Maybe the greatest gift of photography is that we can see the flaws in a photograph and appreciate reality more. Maybe the greatest gift of audio recording is that we can distinguish that opera singer now from that recording of the opera singer on the horrible wire recorder. So we shouldn't limit ourselves by some assumption of stasis that's incorrect. So that's the first thing, that's my first answer, which is I think the most important one. Now, of course, somebody might come back and say, oh, but you know, technology can go so far. There must be some point at which it would surpass. That's a different question. I think that's also an interesting question, but I think the answer I just gave you is actually the more important answer to the more important question. That's profound, yeah. But can you, the second question, which you're now making me realize is way different. Is it possible to create worlds in which people would want to stay instead of the real world? Well. Like, en masse, like large numbers of people. What I hope is, you know, as I said before, I hope that the experience of virtual worlds helps people appreciate this physical world we have and feel tender towards it and keep it from getting too fucked up. That's my hope. Do you see all technology in that way? So basically technology helps us appreciate the more sort of technology free aspect of life. Well, media technology. You know, I mean, you can stretch that. I mean, you can, let me say, I could definitely play McLuhan and turn this into a general theory. It's totally doable. The program you just described is totally doable. In fact, I will psychically predict that if you did the research, you could find 20 PhD theses that do that already. I don't know, but they might exist. But I don't know how much value there is in pushing a particular idea that far. Claiming that reality isn't a computer in some sense seems incoherent to me because we can program it. We have technology. It seems to obey physical laws. What more do you want from it to be a computer? I mean, it's a computer of some kind. We don't know exactly what kind. We might not know how to think about it. We're working on it, but. Sorry to interrupt, but you're absolutely right. Like, that's my fascination with the AI as well, is it helps, in the case of AI, I see it as a set of techniques that help us understand ourselves, understand us humans. In the same way, virtual reality, and you're putting it brilliantly, which it's a way to help us understand reality, appreciate and open our eyes more richly to reality. That's certainly how I see it. And I wish people who become incredibly fascinated, who go down the rabbit hole of the different fascinations with whether we're in a simulation or not, or, you know, there's a whole world of variations on that. I wish they'd step back and think about their own motivations and exactly what they mean, you know? And I think the danger with these things is, so if you say, is the universe some kind of computer broadly, it has to be because it's not coherent to say that it isn't. On the other hand, to say that that means you know anything about what kind of computer, that's something very different. And the same thing is true for the brain. The same thing is true for anything where you might use computational metaphors. Like, we have to have a bit of modesty about where we stand. And the problem I have with these framings of computation is these ultimate cosmic questions is that it has a way of getting people to pretend they know more than they do. Can you maybe, this is a therapy session, psychoanalyze me for a second. I really liked the Elder Scrolls series. It's a role playing game, Skyrim, for example. Why do I enjoy so deeply just walking around that world? And then there's people and you could talk to and you can just like, it's an escape. But you know, my life is awesome. I'm truly happy, but I also am happy with the music that's playing in the mountains and carrying around a sword and just that. I don't know what that is. It's very pleasant though to go there. And I miss it sometimes. I think it's wonderful to love artistic creations. It's wonderful to love contact with other people. It's wonderful to love play and ongoing evolving meaning and patterns with other people. I think it's a good thing. I'm not like anti tech and I'm certainly not anti digital tech. I'm anti, as everybody knows by now, I think the manipulative economy of social media is making everybody nuts and all that. So I'm anti that stuff. But the core of it, of course, I worked for many, many years on trying to make that stuff happen because I think it can be beautiful. Like I don't like, why not? And by the way, there's a thing about humans, which is we're problematic. Any kind of social interaction with other people is gonna have its problems. People are political and tricky. And like, I love classical music, but when you actually go to a classical music thing and it turns out, oh, actually, this is like a backroom power deal kind of place and a big status ritual as well. And that's kind of not as fun. That's part of the package. And the thing is, it's always going to be, there's always gonna be a mix of things. I don't think the search for purity is gonna get you anywhere. So I'm not worried about that. I worry about the really bad cases where we're making ourselves crazy or cruel enough that we might not survive. And I think the social media criticism rises to that level, but I'm glad you enjoy it. I think it's great. And I like that you basically say that every experience has both beauty and darkness, as in with classical music. I also play classical piano, so I appreciate it very much. But it's interesting. I mean, every, and even the darkness, it's a man's search for meaning with Viktor Frankl in the concentration camps. Even there, there's opportunity to discover beauty. And so that's the interesting thing about humans, is the capacity to discover beautiful in the darkest of moments, but there's always the dark parts too. Well, I mean, it's our situation is structurally difficult. We are, no, it is, it's true. We perceive socially, we depend on each other for our sense of place and perception of the world. I mean, we're dependent on each other. And yet there's also a degree in which we're inevitably, we never really let each other down. We are set up to be competitive as well as supportive. I mean, it's just our fundamental situation is complicated and challenging, and I wouldn't have it any other way. Okay, let's talk about one of the most challenging things. One of the things I unfortunately am very afraid of being human, allegedly. You wrote an essay on death and consciousness in which you write a note. Certainly the fear of death has been one of the greatest driving forces in the history of thought and in the formation of the character of civilization. And yet it is under acknowledged. The great book on the subject, The Denial of Death by Ernest Becker deserves a reconsideration. I'm Russian, so I have to ask you about this. What's the role of death in life? See, you would have enjoyed coming to our house because my wife is Russian and we also have, we have a piano of such spectacular qualities, you wouldn't, you would have freaked out. But anyway, we'll let all that go. So the context in which, I remember that essay sort of, this was from maybe the 90s or something. And I used to publish in a journal called the Journal of Consciousness Studies because I was interested in these endless debates about consciousness and science, which certainly continue today. And I was interested in how the fear of death and the denial of death played into different philosophical approaches to consciousness. Because I think on the one hand, the sort of sentimental school of dualism, meaning the feeling that there's something apart from the physical brain, some kind of soul or something else, is obviously motivated in a sense by a hope that whatever that is will survive death and continue. And that's a very core aspect of a lot of the world religions, not all of them, not really, but most of them. The thing I noticed is that the opposite of those, which might be the sort of hardcore, no, the brain's a computer and that's it. In a sense, we're motivated in the same way with a remarkably similar chain of arguments, which is no, the brain's a computer and I'm gonna figure it out in my lifetime and upload myself and I'll live forever. That's interesting. Yeah, that's like the implied thought, right? Yeah, and so it's kind of this, in a funny way, it's the same thing. It's nice when it can be simplified in the way that you can truly simply understand. Everybody can simply understand the basics. In the same way, it should be very simple to understand how the data is being used and what data is being used for people. But then you're arguing that in order for that to happen, you have to have the incentives alike. I mean, a lot of the reason that money works is actually information hiding and information loss. Like one of the things about money is a particular dollar you get might have passed through your enemy's hands and you don't know it. But also, I mean, this is what Adam Smith, if you wanna give the most charitable interpretation possible to the invisible hand is what he was saying, is that like there's this whole complicated thing and not only do you not need to know about it, the truth is you'd never be able to follow it if you tried and just like let the economic incentives solve for this whole thing. And that in a sense, every transaction is like a neuron and a neural net. If he'd had that metaphor, he would have used it and let the whole thing settle to a solution and don't worry about it. I think this idea of having incentives that reduce complexity for people can be made to work. And that's an example of an algorithm that could be manipulative or not, going back to your question before about can you do it in a way that's not manipulative? And I would say a GitHub like, if you just have this vision, GitHub plus TikTok combined, is it possible? I think it is. I really think it is. I'm not gonna be able to unsee that idea of creatives on TikTok collaborating in the same way that people on GitHub collaborate. Why not? I like that kind of version. Why not? I like it, I love it. I just like, right now when people use, by the way, father of teenage daughter. It's all about TikTok, right? So, when people use TikTok, there's a lot of, it's kind of funny, I was gonna say cattiness, but I was just using the cat as this exemplar of what we're talking about. I contradict myself. But anyway, there's all this cattiness where people are like, ee, this person's ee. And I just, what about people getting together and kind of saying, okay, we're gonna work on this move. We're gonna get a better, can we get a better musician? Like, and they do that, but that's the part that's kind of off the books right now. That should be like right there. That should be the center. That's where the, that's the really best part. Well, that's where the invention of Git period, the versioning is brilliant. And so some of the things you're talking about, technology, algorithms, tools can empower. And that's the thing for humans to connect, to collaborate and so on. Can we upset more people a little bit? Maybe we'd have to try. No, no. Can we, can I ask you to elaborate? Cause I, my intuition was that you would be a supporter of something like cryptocurrency and Bitcoin because it is fundamentally emphasizes decentralization. What do you, so can you elaborate? Yeah. Okay, look. Your thoughts on Bitcoin. I, it's kind of funny. Um, I, I wrote, I, I've been advocating some kind of digital currency for a long time. And when the, the, uh, when, when Bitcoin came out and the original paper on, on blockchain, um, my heart kind of sank because I thought, Oh my God, we're applying all of this fancy thought and all these very careful distributed security measures to recreate the gold standard. Like it's just so retro. It's so dysfunctional. It's so useless from an economic point of view. So it's always, and then the other thing is using computational inefficiency at a boundless scale as your form of security is a crime against this atmosphere. Obviously a lot of people know that now, but we knew that at the start. Like the thing is when the first paper came out, I remember a lot of people saying, Oh my God, I think this thing scales. It's a carbon disaster, you know? And, and, um, I, I just like, I'm just mystified, but that's a different question than when you asked, can you have, um, a cryptographic currency or at least some kind of digital currency that's of a benefit? And absolutely. Like I'm, and there are people who are trying to be thoughtful about this. You should, uh, if you haven't, you should interview, uh, Vitalik Buterin sometime. Yeah, I've interviewed him twice. Okay. So like there are people in the community who are trying to be thoughtful and trying to figure out how to do this better. It has nice properties though, right? So the, one of the nice properties is that like government centralized, it's hard to control. Uh, and then the other one to fix some of the issues that you're referring to, I'm sort of playing devil's advocate here is, you know, there's lightning network. There's ideas how to, how you, uh, build stuff on top of Bitcoin, similar with gold that allow you to have this kind of vibrant economy that operates not on the blockchain, but outside the blockchain. And you use this, uh, Bitcoin for, uh, for like checking the security of those transactions. So Bitcoin's not new. It's been around for a while. I've been watching it closely. I've not, I've not seen one example of it creating economic growth. There was this obsession with the idea that government was the problem, that idea that government's the problem. Let's say government earned that wrath, honestly, because if you look at some of the things that governments have done in recent decades, it's not a pretty story. Like, uh, after, uh, after a very small number of people in the US government decided to bomb in landmine Southeast Asia, it's hard to come back and say, oh, government's this great thing. But, uh, then the problem is that this resistance to government is basically resistance to politics. It's a way of saying, if I can get rich, nobody should bother me. It's a way of not, of not having obligations to others. And that ultimately is a very suspect motivation. But does that mean that the impulse that the government, um, should not overreach its power is flawed? Well, I mean, what I want to ask you to do is to replace the word government with politics. Like our politics is people having to deal with each other. My theory about freedom is that the only authentic form of freedom is perpetual annoyance. All right. So annoyance means you're actually dealing with people because people are annoying. Perpetual means that that annoyance is survivable so it doesn't destroy us all. So if you have perpetual annoyance, then you have freedom. And that's politics. That's politics. If you don't have perpetual annoyance, something's gone very wrong and you've suppressed those people that it's only temporary. It's going to come back and be horrible. You should seek perpetual annoyance. I'll invite you to a Berkeley city council meeting so you can know what that feels like. What perpetual annoyance feels like. But anyway, so freedom is being... The test of freedom is that you're annoyed by other people. If you're not, you're not free. If you're not, you're trapped in some temporary illusion that's going to fall apart. Now, this quest to avoid government is really a quest to avoid that political feeling, but you have to have it. You have to deal with it. And it sucks, but that's the human situation. That's the human condition. And this idea that we're going to have this abstract thing that protects us from having to deal with each other is always an illusion. The idea, and I apologize, I overstretched the use of the word government. The idea is there should be some punishment from the people when a bureaucracy, when a set of people or a particular leader, like in an authoritarian regime, which more than half the world currently lives under, if they become, they stop representing the people, it stops being like a Berkeley meeting and starts being more like a dictatorial kind of situation. And so the point is, it's nice to give people, the populace in a decentralized way, power to resist that kind of government becoming over authoritarian. Yeah, but people see this idea that the problem is always the government being powerful is false. The problem can also be criminal gangs. The problem can also be weird cults. The problem can be abusive clergy. The problem can be infrastructure that fails. The problem can be poisoned water. The problem can be failed electric grids. The problem can be a crappy education system that makes the whole society less and less able to create value. There are all these other problems that are different from an overbearing government. Like you have to keep some sense of perspective and not be obsessed with only one kind of problem because then the others will pop up. But empirically speaking, some problems are bigger than others. So like some groups of people, like governments or gangs or companies lead to problems. Are you a US citizen? Yes. Has the government ever really been a problem for you? Well, okay. So first of all, I grew up in the Soviet Union. Yeah, my wife did too. So I have seen, and has the government bothered me? I would say that that's a really complicated question, especially because the United States is such, it's a special place like a lot of other countries. My wife's family were refused NICs. And so we have like a very, and her dad was sent to the Gulag. For what it's worth on my father's side, all but a few were killed by a pogrom in a post Soviet pogrom in Ukraine. So I would say because you did a little trick of eloquent trick of language that you switched to the United States to talk about government. So I believe unlike my friend, Michael Malus, who's an anarchist, I believe government can do a lot of good in the world. That is exactly what you're saying, which is it's politics. The thing that Bitcoin folks and cryptocurrency folks argue is that one of the big ways that government can control the populace is centralized bank, like control the money. That was the case in the Soviet Union too. There's inflation can really make poor people suffer. And so what they argue is this is one way to go around that power that government has of controlling the monetary system. So that's a way to resist. That's not actually saying government bad. That's saying some of the ways that central banks get into trouble can be resisted through centralized. So let me ask you on balance today in the real world in terms of actual facts, do you think cryptocurrencies are doing more to prop up corrupt, murderous, horrible regimes or to resist those regimes? Where do you think the balance is right now? I know exactly having talked to a lot of cryptocurrency folks what they would tell me, right? I, it's hard, it's, I don't, no, no. I'm asking it as a real question. There's no way to know the answer perfectly. There's no way to know the answer perfectly. However, I gotta say, if you look at people who've been able to decode blockchains and they do leak a lot of data. They're not as secure as this widely thought. There are a lot of unknown Bitcoin whales from pretty early and they're huge. And if you ask, who are these people? There's evidence that a lot of them are quite not the people you'd wanna support, let's say. And I just don't, like, I think empirically this idea that there's some intrinsic way that bad governments will be disempowered and people will be able to resist them more than new villains or even villainous governments will be empowered. There's no basis for that assertion. It just is kind of circumstantial. And I think in general, Bitcoin ownership is one thing, but Bitcoin transactions have tended to support criminality more than productivity. Of course, they would argue that was the story of its early days, that now more and more Bitcoin is being used for legitimate transactions, but... That's the difference. I didn't say for legitimate transactions. I said for economic growth, for creativity. Like, I think what's happening is people are using it a little bit for buying, I don't know, maybe some of these companies make it available for this and that, they buy a Tesla with it or something. Investing in a startup hard, it might've happened a little bit, but it's not an engine of productivity, creativity, and economic growth, whereas old fashioned currency still is. And anyway, look, I think something... I'm pro the idea of digital currencies. I am anti the idea of economics wiping out politics as a result. I think they have to exist in some balance to avoid the worst dysfunctions of each. In some ways, there's parallels to our discussion of algorithms and cryptocurrency is you're pro the idea, but it can be used to manipulate, you can be used poorly by aforementioned humans. Well, I think that you can make better designs and worse designs. And the thing about cryptocurrency that's so interesting is how many of us are responsible for the poor designs because we're all so hooked on that Horatio Alger story on like, I'm gonna be the one who gets the viral benefit. Way back when all this stuff was starting, I remember it would have been in the 80s, somebody had the idea of using viral as a metaphor for network effect. And the whole point was to talk about how bad network effect was, that it always created distortions that ruined the usefulness of economic incentives that created dangerous distortions. Like, but then somehow, even after the pandemic, we think of viral as this good thing because we imagine ourselves as the virus, right? We wanna be on the beneficiary side of it. But of course, you're not likely to be. There is a sense because money is involved, people are not reasoning clearly always because they want to be part of that first viral wave that makes them rich. And that blinds people from their basic morality. I had an interesting conversation. I sort of feel like I should respect some people's privacy, but some of the initial people who started Bitcoin, I remember having an argument about like, it's intrinsically a Ponzi scheme, like the early people have more than the later people. And the further down the chain you get, the more you're subject to gambling like dynamics where it's more and more random and more and more subject to weird network effects and whatnot unless you're a very small player perhaps and you're just buying something, but even then you'll be subject to fluctuations because the whole thing is just kind of, as it fluctuates, it's gonna wave around the little people more. And I remember the conversation turned to gambling because gambling is a pretty large economic sector. And it's always struck me as being nonproductive. Like somebody goes to Las Vegas and they lose money. And so one argument is, well, they got entertainment. They paid for entertainment as they lost money. So that's fine. And Las Vegas does up the losing of money in an entertaining way. So why not? It's like going to a show. So that's one argument. The argument that was made to me was different from that. It's that, no, what they're doing is they're getting a chance to experience hope. And a lot of people don't get that chance. And so that's really worth it. Even if they're gonna lose, they have that moment of hope and they need to be able to experience that. And it was a very interesting argument. That's so heartbreaking, but I've seen that. I have that a little bit of a sense. I've talked to some young people who invest in cryptocurrency. And what I see is this hope. This is the first thing that gave them hope. And that's so heartbreaking to me that you've gotten hope from that. So much is invested. It's like hope from somehow becoming rich as opposed to something to me. I apologize, but money is in the longterm not going to be a source of that deep meaning. It's good to have enough money, but it should not be the source of hope. And it's heartbreaking to me how many people is the source of hope. Yeah, you've just described the psychology of virality or the psychology of trying to base a civilization on semi random occurrences of network effect peaks. Yeah, and it doesn't really work. I mean, I think we need to get away from that. We need to soften those peaks and accept Microsoft, which deserves every penny, but in every other case. Well, you mentioned GitHub. I think what Microsoft did with GitHub was brilliant. I was very happy. Okay, if I can give a, not a critical, but on Microsoft because they recently purchased Bethesda. So Elder Scrolls is in their hands. I'm watching you, Microsoft, do not screw up my favorite game. Yeah, well, look, I'm not speaking for Microsoft. I have an explicit arrangement with them where I don't speak for them, obviously, like that should be very clear. I do not speak for them. I am not saying I like them. I think such is amazing. The term data dignity was coined by Sacha. Like, so, you know, we have, it's kind of extraordinary, but, you know, Microsoft's this giant thing. It's going to screw up this or that. You know, it's not, I don't know. It's kind of interesting. I've had a few occasions in my life to see how things work from the inside of some big thing. And, you know, it's always just people kind of, I don't know, there's always like coordination problems. There's always human problems. Oh God, there's some good people. There's some bad people. It's always, I hope Microsoft doesn't screw up your game. And I hope they bring Clippy back. You should never kill Clippy. Bring Clippy back. Oh, Clippy. But Clippy promotes the myth of AI. Well, that's why, this is why I think you're wrong. How about if we, all right. Could we bring back Bob instead of Clippy? Which one was Bob? Oh, Bob was another thing. Bob was this other screen character who was supposed to be the voice of AI. Cortana? Cortana? Would Cortana do it for you? Cortana is too corporate. I like it, Cortana's fine. There's a woman in Seattle who's like the model for Cortana, did Cortana's voice. The voice? There was like, No, the voice is great. We had her as a, she used to walk around if you were wearing Hollands for a bit. I don't think that's happening anymore. I think, I don't think you should turn a software into a creature. Well, you and I, Get a cat, just get a cat. You and I, you and I. Well, get a dog. Get a dog. Or a dog, yeah. Yeah. Or a hedgehog. A hedgehog. Yeah. You coauthored a paper, you mentioned Lee Smolin, titled The Autodidactic Universe, which describes our universe as one that learns its own physical laws. That's a trippy and beautiful and powerful idea. What are, what would you say are the key ideas in this paper? Ah, okay. Well, I should say that paper reflected work from last year and the project, the program has moved quite a lot. So it's a little, there's a lot of stuff that's not published that I'm quite excited about. So I have to kind of keep my frame in that, in that last year's thing. So I have to try to be a little careful about that. We can think about it in a few different ways. The core of the paper, the technical core of it is a triple correspondence. One part of it was already established and then another part is in the process. The part that was established was, of course, understanding different theories of physics as matrix models. The part that was fresher is understanding those as machine learning systems so that we could move fluidly between these different ways of describing systems. And the reason to want to do that is to just have more tools and more options because, well, theoretical physics is really hard and a lot of programs have kind of run into a state where they feel a little stalled, I guess. I want to be delicate about this because I'm not a physicist, I'm the computer scientist collaborating. So I don't mean to diss anybody's. So this is almost like gives a framework for generating new ideas in physics. As we start to publish more about where it's gone, I think you'll start to see there's tools and ways of thinking about theories that I think open up some new paths that will be of interest. There's the technical core of it, which is this idea of a correspondence to give you more facility. But then there's also the storytelling part of it. And this is something Lee loves stories and I do. And the idea here is that a typical way of thinking about physics is that there's some kind of starting condition and then there's some principle by which the starting condition evolves. And the question is like, why the starting condition? The starting condition has to be fine tuned and all these things about it have to be kind of perfect. And so we were thinking, well, look, what if we could push the storytelling about where the universe comes from much further back by starting with really simple things that evolve and then through that evolution, explain how things got to be how they are through very simple principles, right? And so we've been exploring a variety of ways to push the start of the storytelling further and further back, and it's really kind of interesting because like for all of his, Lee is sometimes considered to be, to have a radical quality in the physics world. But he still is like, no, this is gonna be like, the kind of time we're talking about in which evolution happens is the same time we're now and we're talking about something that starts and continues. And I'm like, well, what if there's some other kind of time that's time like, and it sounds like metaphysics, but there's an ambiguity, you know, like, it has to start from something and it's kind of interesting. So there's this, a lot of the math can be thought of either way, which is kind of interesting. So push this so far back that basically all the things that we take for granted in physics start becoming emergent, it's emergent. I really wanna emphasize this is all super baby steps. I don't wanna over claim. It's like, I think a lot of the things we're doing, we're approaching some old problems in a pretty fresh way, informed. There's been a zillion papers about how you can think of the universe as a big neural net or how you can think of different ideas in physics as being quite similar to, or even equivalent to some of the ideas in machine learning. And that actually works out crazy well. Like, I mean, that is actually kind of eerie when you look at it, like there's probably two or three dozen papers that have this quality and some of them are just crazy good. And it's very interesting. What we're trying to do is take those kinds of observations and turn them into an actionable framework where you can then start to do things with landscapes or theories that you couldn't do before and that sort of thing. So in that context, or maybe beyond, how do you explain us humans? How unlikely are we, this intelligent civilization or is there a lot of others or are we alone in this universe? Yeah. You seem to appreciate humans very much. I've grown fond of us. We're okay. We have our nice qualities. I like that. I mean, we're kind of weird. We sprout this hair on our heads and then we're, I don't know, we're sort of weird animals. That's the feature, not a bug, I think. The weirdness. I hope so. I hope so. I think if I'm just going to answer you in terms of truth, the first thing I'd say is we're not in a privileged enough position, at least as yet, to really know much about who we are, how we are, what we're really like in the context of something larger, what that context is, like all that stuff. We might learn more in the future. Our descendants might learn more, but we don't really know very much, which you can either view as frustrating or charming like that first year of TikTok or something. All roads lead back to TikTok. I like it. Well, lately. But in terms of, there's another level at which I can think about it where I sometimes think that if you are just quiet and you do something that gets you in touch with the way reality happens, and for me it's playing music, sometimes it seems like you can feel a bit of how the universe is. And it feels like there's a lot more going on in it and there is a lot more life and a lot more stuff happening and a lot more stuff flowing through it. I'm not speaking as a scientist now. This is kind of a more my artist side talking and I feel like I'm suddenly in multiple personalities with you. Jack Kerouac said that music is the only truth. It sounds like you might be at least in part. There's a passage in Kerouac's book, Dr. Sacks, where somebody tries to just explain the whole situation with reality and people in like a paragraph. And I couldn't reproduce it for you here, but it's like, yeah, like there are these bulbous things that walk around and they make these sounds, you can sort of understand them, but only kind of, and then there's like this, and it's just like this amazing, like just really quick, like if some spirit being or something was going to show up in our reality and hadn't knew nothing about it, it's like a little basic intro of like, okay, here's what's going on here. It's an incredible passage. Yeah. Yeah. It's like a one or two sentence summary in H. Hiker's Guide to the Galaxy, right? Of what this... Mostly harmless. Mostly harmless. Do you think there's truth to that, that music somehow connects to something that words cannot? Yeah. Music is something that just towers above me. I don't feel like I have an overview of it. It's just the reverse. I don't fully understand it because on one level it's simple. Like you can say, oh, it's a thing people evolved to coordinate our brains on a pattern level or something like that. There's all these things you can say about music, which are, you know, some of that's probably true. It's also, there's kind of like this, this is the mystery of meaning. Like there's a way that just instead of just being pure abstraction, music can have like this kind of substantiality to it that is philosophically impossible. I don't know what to do with it. Yeah. The amount of understanding I feel I have when I hear the right song at the right time is not comparable to anything I can read on Wikipedia. Anything I can understand, read through in language. The music does connect us to something. There's this thing there. Yeah, there's some kind of a thing in it. And I've never ever, I've read across a lot of explanations from all kinds of interesting people like that it's some kind of a flow language between people or between people and how they perceive and that kind of thing. And that sort of explanation is fine, but it's not quite it either. Yeah. There's something about music that makes me believe that panpsychism could possibly be true, which is that everything in the universe is conscious. It makes me think, makes me be humble in how much or how little I understand about the functions of our universe that everything might be conscious. Most people interested in theoretical physics eventually land in panpsychism, but I'm not one of them. I still think there's this pragmatic imperative to treat people as special. So I will proudly be a dualist without people and cats. Yeah, I'm not quite sure where to draw the line or why the line's there or anything like that. But I don't think I should be required to all the same questions are equally mysterious for no line. So I don't feel disadvantaged by that. So I shall remain a dualist. But if you listen to anyone trying to explain where consciousness is in a dualistic sense, either believing in souls or some special thing in the brain or something, you pretty much say, screw this. I'm going to be a panpsychist. Fair enough. Well put. Is there moments in your life that happened that we're defining in the way that you hope others your daughter? Well, listen, I got to say the moments that defined me were not the good ones. The moments that defined me were often horrible. I've had successes, you know, but if you ask what defined me, my mother's death, being under the World Trade Center and the attack, the things that have had an effect on me were the most were sort of real world, terrible things, which I don't wish on young people at all. And this is the thing that's hard about giving advice to young people that they have to learn their own lessons. And lessons don't come easily. And a world which avoids hard lessons will be a stupid world, you know, and I don't know what to do with it. That's a little bundle of truth that has a bit of a fatalistic quality to it, but I don't—this is like when I'm saying that, you know, freedom equals eternal annoyance. Like, you can't—like, there's a degree to which honest advice is not that pleasant to give. And I don't want young people to have to know about everything. You don't want to wish hardship on them. Yeah, I think they deserve to have a little grace period of naiveté that's pleasant. I mean, I do, you know, if it's possible, if it's—these things are—this is like—this is tricky stuff. I mean, if you—okay, so let me try a little bit on this advice thing. I think one thing—and any serious, broad advice will have been given a thousand times before for a thousand years, so I'm not going to claim originality, but I think trying to find a way to really pay attention to what you're feeling fundamentally, what your sense of the world is, what your intuition is, if you feel like an intuitive person, what you're—like, to try to escape the constant sway of social perception or manipulation, whatever you wish—not to escape it entirely, that would be horrible, but to find cover from it once in a while, to find a sense of being anchored in that, to believe in experience as a real thing. Believing in experience as a real thing is very dualistic. That goes with my philosophy of dualism. I believe there's something magical, and instead of squirting the magic dust on the programs, I think experience is something real and something apart, something mystical and something— Your own personal experience that you just have, and then you're saying silence the rest of the world enough to hear that—like, whatever that magic dust is in that experience. Find what is there, and I think that's one thing. Another thing is to recognize that kindness requires genius, that it's actually really hard, that facile kindness is not kindness, and that it'll take you a while to have the skills to have kind impulses to want to be kind you can have right away. To be effectively kind is hard. To be effectively kind, yeah. It takes skill. It takes hard lessons. You'll never be perfect at it. To the degree you get anywhere with it, it's the most rewarding thing ever. Let's see, what else would I say? I would say when you're young, you can be very overwhelmed by social and interpersonal emotions. You'll have broken hearts and jealousies. You'll feel socially down the ladder instead of up the ladder. It feels horrible when that happens. All of these things. And you have to remember what a fragile crust all that stuff is, and it's hard because right when it's happening, it's just so intense. If I was actually giving this advice to my daughter, she'd already be out of the room. This is for some hypothetical teenager that doesn't really exist that really wants to sit and listen to my voice for your daughter 10 years from now. Maybe. Can I ask you a difficult question? Yeah, sure. You talked about losing your mom. Yeah. Do you miss her? Yeah, I mean, I still connected her through music. She was a a young prodigy piano player in Vienna, and she survived the concentration camp and then died in a car accident here in the US. What music makes you think of her? Is there a song that connects? Well, she was in Vienna, so she had the whole Viennese music thing going, which is this incredible school of absolute skill and romance bundled together and wonderful on the piano, especially. I learned to play some of the Beethoven sonatas for her, and I played them in this exaggerated, drippy way I remember when I was a kid. Exaggerated meaning too full of emotion? Yeah, just like... Isn't that the only way to play Beethoven? I mean, I didn't know there's any other way. That's a reasonable question. I mean, the fashion these days is to be slightly Apollonian even with Beethoven, but one imagines that actual Beethoven playing might have been different. I don't know. I've gotten to play a few instruments he played and tried to see if I could feel anything about how it might have been for him. I don't know, really. I was always against the clinical precision of classical music. I thought a great piano player should be, like, in pain, like, you know, emotionally, like, truly feel the music and make it messy, sort of maybe play classical music the way, I don't know, blues pianist plays blues. It seems like they actually got happier, and I'm not sure if Beethoven got happier. I think it's a different kind of concept of the place of music. I think the blues, the whole African American tradition was initially surviving awful, awful circumstances. So you could say, you know, there was some of that in the concentration camps and all that too. And it's not that Beethoven's circumstances were brilliant, but he kind of also, I don't know, this is hard. Like, I mean, it would seem to be his misery was somewhat self imposed, maybe through, I don't know. It's kind of interesting, like, I've known some people who loathed Beethoven, like the composer, late composer, Pauline Oliveros, this wonderful modernist composer. I played in her band for a while, and she was like, oh, Beethoven, like, that's the worst music ever. It's like, all ego. It completely, it turns information, I mean, it turns emotion into your enemy. And it's ultimately all about your own self importance, which has to be at the expense of others. What else could it be? And blah, blah, blah. So she had, I shouldn't say, I don't mean to be dismissive, but I'm just saying, like, her position on Beethoven was very negative and very unimpressed, which is really interesting because the manner of the music. I think, I don't know. I mean, she's not here to speak for herself. So it's a little hard for me to answer that question. But it was interesting because I'd always thought of Beethoven as like, whoa, you know, this is like Beethoven is like really the dude, you know, and it's just like, Beethoven, Schmadovan, you know, it's like not really happening. Yeah, I still, even though it's cliche, I like playing personally, just for myself, Moonlight Sonata. I mean, I just, Moonlight's amazing. I mean, it's like, Moonlight's amazing. You know, I, you know, you're talking about comparing the blues and that sensibility from Europe is so different in so many ways. One of the musicians I play with is John Batiste, who has the band on Colbert Show, and he'll sit there playing jazz and suddenly go into Moonlight. He loves Moonlight. And what's kind of interesting is he's found a way to do Beethoven. And he, by the way, he can really do Beethoven. Like, he went through Juilliard and one time he was at my house, he's saying, hey, do you have the book of Beethoven's Sonatas? I say, yeah, I want to find one I haven't played. And then he sight read through the whole damn thing perfectly. And I'm like, oh, God, I just get out of here. I can't even deal with this. But anyway, but anyway, the thing is he has this way of with the same persona and the same philosophy moving from the blues into Beethoven that's really, really fascinating to me. It's like, I don't want to say he plays it as if it were jazz, but he kind of does. It's kind of really, and he talks, well, he was sight reading, he talks like Beethoven's talking to him. Like he's like, oh yeah, here, he's doing this. I can't do John, but you know, it's like, it's really interesting. Like it's very different. Like for me, I was introduced to Beethoven as like almost like this godlike figure, and I presume Pauline was too, that was really kind of a press for an art to deal with. And for him, it's just like the conversation. He's playing James P. Johnson or something. It's like another musician who did something and they're talking and it's very cool to be around. It's very kind of freeing to see someone have that relationship. I would love to hear him play Beethoven. That sounds amazing. He's great. We talked about Ernest Becker and how much value he puts on our mortality and our denial of our mortality. Do you think about your mortality? Do you think about your own death? You know what's funny is I used to not be able to, but as you get older, you just know people who die and there's all these things that just becomes familiar and and more of a more ordinary, which is what it is. But are you afraid? Sure, although less so. And it's not like I didn't have some kind of insight or revelation to become less afraid. I think I just, like I say, it's kind of familiarity. It's just knowing people who've died and I really believe in the future. I have this optimism that people or this whole thing of life on Earth, this whole thing we're part of, I don't know where to draw that circle, but this thing is going somewhere and has some kind of value and you can't both believe in the future and want to live forever. You have to make room for it. You know, like you have to, that optimism has to also come with its own like humility. You have to make yourself small to believe in the future and so it actually in a funny way comforts me. Wow, that's powerful. And optimism requires you to kind of step down after a time. Yeah, I mean, that said, life seems kind of short, but you know, whatever. Do you think there's I've tried to find I can't find the complaint department. You know, I really want to I want to bring this up, but the customer service number never answers and like the email bounces one way. So yeah, do you think there's meaning to it to life? We'll see. Meaning is a funny word like we say all these things as if we know what they mean, but meaning we don't know what we mean when we say meaning like we obviously do not and it's a it's it's a funny little mystical thing. I think it ultimately connects to that sense of experience that dualists tend to believe in. I guess there are why like if you look up to the stars and you experience that awe inspiring like joy at whatever when you look up to the stars that I don't know why for me that's kind of makes me feel joyful, maybe a little bit melancholy, just some weird soup of feelings and ultimately the question is like why are we here in this vast universe? That question why? Have you been able in some way maybe through music answer it for yourself? My impulse is to feel like it's not quite the right question to ask, but I feel like going down that path is just too tedious for the moment and I don't want to do it, but the wrong question. Well, just because you know, I don't know what meaning is and I think I do know that sense of awe. I grew up in southern New Mexico and the stars were so vivid. I've had some weird misfortunes, but I've had some weird luck also. One of our near neighbors was the head of optics research at White Sands and when he was young he discovered Pluto. His name was Clyde Tombaugh and he taught me how to make telescopes, grinding mirrors and stuff. My dad had also made telescopes when he was a kid, but Clyde had like backyard telescopes that would put to shame a lot of like I mean he really he did his telescopes you know and so I remember he'd let me go and play with him and just like looking at a globular cluster and you're seeing the actual photons and with a good telescope it's really like this object like you can really tell this isn't coming through some intervening information structure this is like the actual photons and it's really a three dimensional object and you have even a feeling for the vastness of it and it's it's it's I don't know I so I definitely I was very very fortunate to have a connection to the sky that way when I was a kid. To have had that experience again the emphasis on experience. It's kind of funny like I feel like sometimes like I've taken when she was younger I took my daughter and her friends to to like a telescope there are a few around here that are kids can go and use and they would like look at Jupiter's moons or something I think like Galilean moons and I don't know if they quite had that because it's like too it's been just too normalized and I think maybe when I was growing up screens weren't that common yet and maybe it's like too confusable with the screen I don't know you know somebody uh brought up in conversation to me somewhere I don't remember who but they they kind of posited this idea that if humans early humans weren't able to see the stars like if earth atmosphere was such there was cloudy that we would not develop human civilization there's something about being able to look up and see a vast universe is like that's fundamental to the development of human civilization I thought that was a curious kind of thought that reminds me of that old Isaac Asimov story where the you know there's this planet where they finally get to see what's in the sky once in a while and it turns out they're in the middle of a globular cluster and they're all these stars and I forget what happens exactly god that's that's from when I was the same age as a kid I don't really remember yeah uh but um yeah I don't know it's uh it's it might be right I'm just thinking of all the civilizations that grew up under clouds I mean like the the vikings needed a special uh diffracting piece of mica to navigate because they could never see the sun they had this thing called a sunstone that they found from this this one cave you know about that so they were in this like uh they were trying to navigate boats you know in the north atlantic with without being able to see the sun because it was cloudy and so they they used uh of a uh a chunk of mica to diffract it in order to be able to align where the sun really was because they couldn't tell by eye and navigate so I'm just saying there are a lot of civilizations that are pretty impressive that had to deal with a lot of clouds uh the amazonians invented our agriculture and they they were probably under clouds a lot I don't know I don't know to me personally the the question of the meaning of life becomes most um vibrant most apparent when you look up at the stars because it makes me feel very small uh that we're not small but then you ask it it still feels that we're special and then the natural question is like well if we are special as I think we are why the heck are we here in this vast universe that ultimately is the question of um right well the meaning of life I mean look there's a confusion sometimes in trying to use uh to set up a question or a thought experiment or something that's defined in terms of a context to explain something where there is no larger context and that's a category error um if we want to do it in physics um or well or in computer science um it's hard to talk about the universe as a Turing machine because a Turing machine has an external clock and an observer and a input and output there's a larger context implied in order for it to be defined at all and so if you're talking about the universe you can't talk about it coherently as a Turing machine uh quantum mechanics is like that quantum mechanics has an external clock and has some kind of external context depending on your interpretation um that's either you know the observer or whatever uh and there's a they're they're similar that way so maybe maybe Turing machines and quantum mechanics can be better friends or something because they have a similar setup but the thing is if you have something that's defined in terms of an outer context you can't talk about ultimates with it because obviously it doesn't it's not suited for that so there's some ideas that are their own context general relativity is its own context it's different that's why it's hard to unify and um i think the same thing is true when we talk about these types of questions like uh meaning is in a context and to talk about ultimate meaning is therefore a category error it's not it's not a um it's not a resolvable way of thinking it might be a way of thinking that is experientially um or aesthetically valuable because it is awesome in the sense of you know awe inspiring um but to try to treat it analytically is not sensible maybe that's what music can poetry for yeah maybe i think so i think music actually does escape any particular context that's how it feels to me but i'm not sure about that that's once again crazy artist talking not scientist well you did uh you do both masterfully uh jaron i'm like i said i'm a big fan of everything you've done of you as a human being um i appreciate the the fun argument we had today that will i'm sure continue for 30 years as it did with mark mitski um honestly i i deeply appreciate that you spend your really valuable time with me today it was a really great conversation thank you so much thanks for listening to this conversation with jaron lanier to support this podcast please check out our sponsors in the description and now let me leave you with some words from jaron lanier himself a real friendship ought to introduce each person to unexpected weirdness in the other thank you for listening i hope to see you next time It's peculiar to notice that these people who would appear to be opposites in character and cultural references and in their ideas actually are remarkably similar. And to an incredible degree, this sort of hardcore computationalist idea about the brain has turned into medieval Christianity with together, like there's the people who are afraid that if you have the wrong thought, you'll piss off the super AIs of the future who will come back and zap you and all that stuff. It's really turned into medieval Christianity all over again. This is so the Ernest Becker's idea that death, the fear of death is the warm at the core, which is like, that's the core motivator of everything we see humans have created. The question is if that fear of mortality is somehow core, is like a prerequisite to consciousness. You just moved across this vast cultural chasm that separates me from most of my colleagues in a way. And I can't answer what you just said on the level without this huge deconstruction. Should I do it? Yes, what's the chasm? Okay. Let us travel across this vast chasm. Okay, I don't believe in AI. I don't think there's any AI. There's just algorithms, we make them, we control them. Now, they're tools, they're not creatures. Now, this is something that robs a lot of people, the wrong way, and don't I know it. When I was young, my main mentor was Marvin Minsky, who's the principal author of the computer as creature rhetoric that we still use. He was the first person to have the idea at all, but he certainly populated AI culture with most of its tropes, I would say, because a lot of the people will say, oh, did you hear this new idea about AI? And I'm like, yeah, I heard it in 1978. Sure, yeah, I remember that. So Marvin was really the person. And Marvin and I used to argue all the time about this stuff because I always rejected it. And of all of his, of all of his, I wasn't formally his student, but I worked for him as a researcher, but of all of his students and student like people of his young adoptees, I think I was the one who argued with him about this stuff in particular, and he loved it. Yeah, I would have loved to hear that conversation. It was fun. Did you ever converse to a place? Oh, no, no. So the very last time I saw him, he was quite frail. And I was in Boston, and I was going to the old house in Brookline, his amazing house. And one of our mutual friends said, hey, listen, Marvin's so frail. Don't do the argument with him. Don't argue about AI, you know? And so I said, but Marvin loves that. And so I showed up, and he's like, he was frail. He looked up and he said, are you ready to argue? He's such an amazing person for that. So it's hard to summarize this because it's decades of stuff. The first thing to say is that nobody can claim absolute knowledge about whether somebody or something else is conscious or not. This is all a matter of faith. And in fact, I think the whole idea of faith needs to be updated. So it's not about God, but it's just about stuff in the universe. We have faith in each other, being conscious. And then I used to frame this as a thing called the circle of empathy in my old papers. And then it turned into a thing for the animal rights movement too. I noticed Peter Singer using it. I don't know if it was coincident or, but anyway, there's this idea that you draw a circle around yourself and the stuff inside is more like you, might be conscious, might be deserving of your empathy, of your consideration, and the stuff outside the circle isn't. And outside the circle might be a rock or, I don't know. And that circle is fundamentally based on faith. Well, if you don't know it. Your faith in what is and what isn't. The thing about this circle is it can't be pure faith. It's also a pragmatic decision and this is where things get complicated. If you try to make it too big, you suffer from incompetence. If you say, I don't wanna kill a bacteria, I will not brush my teeth. I don't know, like, what do you do? Like, there's a competence question where you do have to draw the line. People who make it too small become cruel. People are so clannish and political and so worried about themselves ending up on the bottom of society that they are always ready to gang up on some designated group. And so there's always these people who are being, we're always trying to shove somebody out of the circle. And so. So aren't you shoving AI outside the circle? Well, give me a second. All right. So there's a pragmatic consideration here. And so, and the biggest questions are probably fetuses and animals lately, but AI is getting there. Now with AI, I think, and I've had this discussion so many times. People say, but aren't you afraid if you exclude AI, you'd be cruel to some consciousness? And then I would say, well, if you include AI, you make yourself, you exclude yourself from being able to be a good engineer or designer. And so you're facing incompetence immediately. So like, I really think we need to subordinate algorithms and be much more skeptical of them. Your intuition, you speak about this brilliantly with social media, how things can go wrong. Isn't it possible to design systems that show compassion, not to manipulate you, but give you control and make your life better if you so choose to, like grow together with systems. And the way we grow with dogs and cats, with pets, with significant others in that way, they grow to become better people. I don't understand why that's fundamentally not possible. You're saying oftentimes you get into trouble by thinking you know what's good for people. Well, look, there's this question of what framework we're speaking in. Do you know who Alan Watts was? So Alan Watts once said, morality is like gravity that in some absolute cosmic sense, there can't be morality because at some point it all becomes relative and who are we anyway? Like morality is relative to us tiny creatures. But here on earth, we're with each other, this is our frame and morality is a very real thing. Same thing with gravity. At some point, you get into interstellar space and you might not feel much of it, but here we are on earth. And I think in the same sense, I think this identification with a frame that's quite remote cannot be separated from a feeling of wanting to feel sort of separate from and superior to other people or something like that. There's an impulse behind it that I really have to reject. And we're just not competent yet to talk about these kinds of absolutes. Okay, so I agree with you that a lot of technologists sort of lack this basic respect, understanding and love for humanity. There's a separation there. The thing I'd like to push back against, it's not that you disagree, but I believe you can create technologies and you can create a new kind of technologist engineer that does build systems that respect humanity, not just respect, but admire humanity, that have empathy for common humans, have compassion. I mean, no, no, no. I think, yeah, I mean, I think musical instruments are a great example of that. Musical instruments are technologies that help people connect in fantastic ways. And that's a great example. My invention or design during the pandemic period was this thing called together mode where people see themselves seated sort of in a classroom or a theater instead of in squares. And it allows them to semi consciously perform to each other as if they have proper eye contact, as if they're paying attention to each other nonverbally and weirdly that turns out to work. And so it promotes empathy so far as I can tell. I hope it is of some use to somebody. The AI idea isn't really new. I would say it was born with Adam Smith's invisible hand with this idea that we build this algorithmic thing and it gets a bit beyond us and then we think it must be smarter than us. And the thing about the invisible hand is absolutely everybody has some line they draw where they say, no, no, no, we're gonna take control of this thing. They might have different lines, they might care about different things, but everybody ultimately became a Keynesian because it just didn't work. It really wasn't that smart. It was sometimes smart and sometimes it failed, you know? And so if you really, you know, people who really, really, really wanna believe in the invisible hand is infinitely smart, screw up their economies terribly. You have to recognize the economy as a subservient tool. Everybody does when it's to their advantage. They might not when it's not to their advantage. That's kind of an interesting game that happens. But the thing is, it's just like that with our algorithms, you know, like, you can have a sort of a Chicago, you know, economic philosophy about your computer. Say, no, no, no, my things come alive, it's smarter than anything. I think that there is a deep loneliness within all of us. This is what we seek, we seek love from each other. I think AI can help us connect deeper. Like this is what you criticize social media for. I think there's much better ways of doing social media than doing social media that doesn't lead to manipulation, but instead leads to deeper connection between humans, leads to you becoming a better human being. And what that requires is some agency on the part of AI to be almost like a therapist, I mean, a companion. It's not telling you what's right. It's not guiding you as if it's an all knowing thing. It's just another companion that you can leave at any time. You have complete transparency control over. There's a lot of mechanisms that you can have that are counter to how current social media operates that I think is subservient to humans, or no, deeply respects human beings and is empathetic to their experience and all those kinds of things. I think it's possible to create AI systems like that. And I think they, I mean, that's a technical discussion of whether they need to have something that looks like more, something that looks like more like AI versus algorithms, something that has a identity, something that has a personality, all those kinds of things. AI systems, and you've spoken extensively how AI systems manipulate you within social networks. And that's the biggest problem, isn't necessarily that there's advertisement that social networks present you with advertisements that then get you to buy stuff. That's not the biggest problem. The biggest problem is they then manipulate you. They alter your human nature to get you to buy stuff or to get you to do whatever the advertiser wants. Or maybe you can correct me. Yeah, I don't see it quite that way, but we can work with that as an approximation. Sure, so my... I think the actual thing is even sort of more ridiculous and stupider than that, but that's okay, let's... So my question is, let's not use the word AI, but how do we fix it? Oh, fixing social media, that diverts us into this whole other field in my view, which is economics, which I always thought was really boring, but we have no choice but to turn into economists if we wanna fix this problem, because it's all about incentives. But I've been around this thing since it started, and I've been in the meetings where the social media companies sell themselves to the people who put the most money into them, which are usually the big advertising holding companies and whatnot. And there's this idea that I think is kind of a fiction, and maybe it's even been recognized as that by everybody, that the algorithm will get really good at getting people to buy something. Because I think people have looked at their returns and looked at what happens, and everybody recognizes it's not exactly right. It's more like a cognitive access blackmail payment at this point. Like just to be connected, you're paying the money. It's not so much that the persuasion algorithms... So Stanford renamed its program, but it used to be called Engage Persuade. The engage part works, the persuade part is iffy, but the thing is that once people are engaged, in order for you to exist as a business, in order for you to be known at all, you have to put money into the... Oh, that's dark. Oh, no, that's not... It doesn't work, but they have to... But they're still... It's a giant cognitive access blackmail scheme at this point. So because the science behind the persuade part, it's not entirely a failure, but it's not what... We play make believe that it works more than it does. The damage doesn't come... Honestly, as I've said in my books, I'm not anti advertising. I actually think advertising can be demeaning and annoying and banal and ridiculous and take up a lot of our time with stupid stuff. Like there's a lot of ways to criticize advertising that's accurate and it can also lie and all kinds of things. However, if I look at the biggest picture, I think advertising, at least as it was understood before social media, helped bring people into modernity in a way that overall actually did benefit people overall. And you might say, am I contradicting myself because I was saying you shouldn't manipulate people? Yeah, I am, probably here. I mean, I'm not pretending to have this perfect airtight worldview without some contradictions. I think there's a bit of a contradiction there, so. Well, looking at the long arc of history, advertisement has, in some parts, benefited society because it funded some efforts that perhaps... Yeah, I mean, I think like there's a thing where sometimes I think it's actually been of some use. Now, where the damage comes is a different thing though. Social media, algorithms on social media have to work on feedback loops where they present you with stimulus and they have to see if you respond to the stimulus. Now, the problem is that the measurement mechanism for telling if you respond in the engagement feedback loop is very, very crude. It's things like whether you click more or occasionally if you're staring at the screen more if there's a forward facing camera that's activated, but typically there isn't. So you have this incredibly crude back channel of information and so it's crude enough that it only catches sort of the more dramatic responses from you and those are the fight or flight responses. Those are the things where you get scared or pissed off or aggressive or horny. These are these ancient, the sort of what are sometimes called the lizard brain circuits or whatever, these fast response, old, old, old evolutionary business circuits that we have that are helpful in survival once in a while but are not us at our best. They're not who we wanna be. They're not how we relate to each other. They're this old business. So then just when you're engaged using those intrinsically totally aside from whatever the topic is, you start to get incrementally just a little bit more paranoid, xenophobic, aggressive. You get a little stupid and you become a jerk and it happens slowly. It's not like everybody's instantly transformed, but it does kind of happen progressively where people who get hooked kind of get drawn more and more into this pattern of being at their worst. Would you say that people are able to, when they get hooked in this way, look back at themselves from 30 days ago and say, I am less happy with who I am now or I'm not happy with who I am now versus who I was 30 days ago. Are they able to self reflect when you take yourself outside of the lizard brain? Sometimes. I wrote a book about people suggesting people take a break from their social media to see what happens and maybe even, actually the title of the book was just the arguments to delete your account. Yeah, 10 arguments. 10 arguments. Although I always said, I don't know that you should. I can give you the arguments. It's up to you. I'm always very clear about that. But you know, I get like, I don't have a social media account obviously and it's not that easy for people to reach me. They have to search out an old fashioned email address on a super crappy antiquated website. Like it's actually a bit, I don't make it easy. And even with that, I get this huge flood of mail from people who say, oh, I quit my social media. I'm doing so much better. I can't believe how bad it was. But the thing is, what's for me a huge flood of mail would be an imperceptible trickle from the perspective of Facebook, right? And so I think it's rare for somebody to look at themselves and say, oh boy, I sure screwed myself over. It's a really hard thing to ask of somebody. None of us find that easy, right? It's just hard. The reason I asked this is, is it possible to design social media systems that optimize for some longer term metrics of you being happy with yourself? Well see, I don't think you should try to engineer personal growth or happiness. I think what you should do is design a system that's just respectful of the people and subordinates itself to the people and doesn't have perverse incentives. And then at least there's a chance of something decent happening. You have to recommend stuff, right? So you're saying like, be respectful. What does that actually mean engineering wise? Yeah, curation. People have to be responsible. Algorithms shouldn't be recommending. Algorithms don't understand enough to recommend. Algorithms are crap in this era. I mean, I'm sorry, they are. And I'm not saying this as somebody as a critic from the outside. I'm in the middle of it. I know what they can do. I know the math. I know what the corpora are. I know the best ones. Our office is funding GPT3 and all these things that are at the edge of what's possible. And they do not have yet. I mean, it still is statistical emergent pseudo semantics. It doesn't actually have deep representation emerging of anything. It's just not like, I mean that I'm speaking the truth here and you know it. Well, let me push back on this. This, there's several truths here. So one, you're speaking to the way certain companies operate currently. I don't think it's outside the realm of what's technically feasible to do. There's just not incentive, like companies are not, why fix this thing? I am aware that, for example, the YouTube search and discovery has been very helpful to me. And there's a huge number of, there's so many videos that it's nice to have a little bit of help. But I'm still in control. Let me ask you something. Have you done the experiment of letting YouTube recommend videos to you either starting from a absolutely anonymous random place where it doesn't know who you are or from knowing who you or somebody else is and then going 15 or 20 hops? Have you ever done that and just let it go top video recommend and then just go 20 hops? No, I've not. I've done that many times now. I have, because of how large YouTube is and how widely it's used, it's very hard to get to enough scale to get a statistically solid result on this. I've done it with high school kids, with dozens of kids doing it at a time. Every time I've done an experiment, the majority of times after about 17 or 18 hops, you end up in really weird, paranoid, bizarre territory. Because ultimately, that is the stuff the algorithm rewards the most because of the feedback crudeness I was just talking about. So I'm not saying that the video never recommends something cool. I'm saying that its fundamental core is one that promotes a paranoid style that promotes increasing irritability, that promotes xenophobia, promotes fear, anger, promotes selfishness, promotes separation between people. And the thing is, it's very hard to do this work solidly. Many have repeated this experiment and yet it still is kind of anecdotal. I'd like to do a large citizen science thing sometime and do it, but then I think the problem with that is YouTube would detect it and then change it. Yes, I love that kind of stuff on Twitter. So Jack Dorsey has spoken about doing healthy conversations on Twitter or optimizing for healthy conversations. What that requires within Twitter are most likely citizen experiments of what does healthy conversation actually look like and how do you incentivize those healthy conversations you're describing what often happens and what is currently happening. What I'd like to argue is it's possible to strive for healthy conversations, not in a dogmatic way of saying, I know what healthy conversations are and I will tell you. I think one way to do this is to try to look around at social, maybe not things that are officially social media, but things where people are together online and see which ones have more healthy conversations, even if it's hard to be completely objective in that measurement, you can kind of, at least crudely. You could do subjective annotation like have a large crowd source annotation. One that I've been really interested in is GitHub because it could change. I'm not saying it'll always be, but for the most part, GitHub has had a relatively quite low poison quotient. And I think there's a few things about GitHub that are interesting. One thing about it is that people have a stake in it. It's not just empty status games. There's actual code or there's actual stuff being done. And I think as soon as you have a real world stake in something, you have a motivation to not screw up that thing. And I think that that's often missing that there's no incentive for the person to really preserve something. If they get a little bit of attention from dumping on somebody's TikTok or something, they don't pay any price for it. But you have to kind of get decent with people when you have a shared stake, a little secret. So GitHub does a bit of that. GitHub is wonderful, yes. But I'm tempted to play the Jaren Becker at you, which is that, so GitHub is currently is amazing. But the thing is, if you have a stake, then if it's a social media platform, they can use the fact that you have a stake to manipulate you because you want to preserve the stake. So like, so like. Right, well, this is why, all right, this gets us into the economics. So there's this thing called data dignity that I've been studying for a long time. I wrote a book about an earlier version of it called Who Owns the Future? And the basic idea of it is that, once again, this is a 30 year conversation. It's a fascinating topic. Let me do the fastest version of this I can do. The fastest way I know how to do this is to compare two futures, all right? So future one is then the normative one, the one we're building right now. And future two is gonna be data dignity, okay? And I'm gonna use a particular population. I live on the hill in Berkeley. And one of the features about the hill is that as the climate changes, we might burn down and I'll lose our houses or die or something. Like it's dangerous, you know, and it didn't used to be. And so who keeps us alive? Well, the city does. The city does some things. The electric company kind of sort of, maybe hopefully better. Individual people who own property take care of their property. That's all nice. But there's this other middle layer, which is fascinating to me, which is that the groundskeepers who work up and down that hill, many of whom are not legally here, many of whom don't speak English, cooperate with each other to make sure trees don't touch to transfer fire easily from lot to lot. They have this whole little web that's keeping us safe. I didn't know about this at first. I just started talking to them because they were out there during the pandemic. And so I try to just see who are these people? Who are these people who are keeping us alive? Now, I want to talk about the two different phases for those people in your future one and future two. Future one, some weird like kindergarten paint job van with all these like cameras and weird things, drives up, observes what the gardeners and groundskeepers are doing. A few years later, some amazing robots that can shimmy up trees and all this show up. All those people are out of work and there are these robots doing the thing and the robots are good. And they can scale to more land and they're actually good. But then there are all these people out of work and these people have lost dignity. They don't know what they're going to do. And then somebody will say, well, they go on basic income, whatever. They become wards of the state. My problem with that solution is every time in history that you've had some centralized thing that's doling out the benefits, that things get seized by people because it's too centralized and it gets seized. This happened to every communist experiment I can find. So I think that turns into a poor future that will be unstable. I don't think people will feel good in it. I think it'll be a political disaster with a sequence of people seizing this central source of the basic income. And you'll say, oh no, an algorithm can do it. Then people will seize the algorithm. They'll seize control. Unless the algorithm is decentralized and it's impossible to seize the control. Yeah, but 60 something people own a quarter of all the Bitcoin. Like the things that we think are decentralized are not decentralized. So let's go to future two. Future two, the gardeners see that van with all the cameras and the kindergarten paint job, and they say, the groundskeepers, and they say, hey, the robots are coming. We're going to form a data union. And amazingly, California has a little baby data union law emerging in the books. Yes. And so they say, we're going to form a data union and we're going to, not only are we going to sell our data to this place, but we're going to make it better than it would have been if they were just grabbing it without our cooperation. And we're going to improve it. We're going to make the robots more effective. We're going to make them better and we're going to be proud of it. We're going to become a new class of experts that are respected. And then here's the interesting, there's two things that are different about that world from future one. One thing, of course, the people have more pride. They have more sense of ownership, of agency, but what the robots do changes. Instead of just like this functional, like we'll figure out how to keep the neighborhood from burning down, you have this whole creative community that wasn't there before thinking, well, how can we make these robots better so we can keep on earning money? There'll be waves of creative groundskeeping with spiral pumping, pumpkin patches and waves of cultural things. There'll be new ideas like, wow, I wonder if we could do something about climate change mitigation with how we do this. What about, what about fresh water? Can we, what about, can we make the food healthier? What about, what about all of a sudden there'll be this whole creative community on the case? And isn't it nicer to have a high tech future with more creative classes than one with more dependent classes? Isn't that a better future? But, but, but, but, future one and future two have the same robots and the same algorithms. There's no technological difference. There's only a human difference. And that second future two, that's data dignity. The economy that you're, I mean, the game theory here is on the humans and then the technology is just the tools that enable both possibilities. I mean, I think you can believe in AI and be in future two. I just think it's a little harder. You have to do more contortions, it's possible. So in the case of social media, what does data dignity look like? Is it people getting paid for their data? Yeah, I think what should happen is in the future there should be massive data unions for people putting content into the system and those data unions should smooth out the results a little bit. So it's not winner take all, but at the same time, and people have to pay for it too. They have to pay for Facebook the way they pay for Netflix with an allowance for the poor. There has to be a way out too. But the thing is people do pay for Netflix. It's a going concern. People pay for Xbox and PlayStation. Like people, there's enough people to pay for stuff they want. This could happen too. It's just that this precedent started that moved it in the wrong direction. And then what has to happen, the economy is a measuring device. If it's an honest measuring device, the outcomes for people form a normal distribution, a bell curve. And then, so there should be a few people who do really well, a lot of people who do okay. And then we should have an expanding economy reflecting more and more creativity and expertise flowing through the network. And that expanding economy moves the result just a bit forward. So more people are getting money out of it than are putting money into it. So it gradually expands the economy and lifts all boats. And the society has to support the lower wing of the bell curve too, but not universal basic income. It has to be for the, cause if it's an honest economy, there will be that lower wing and we have to support those people. There has to be a safety net. But see what I believe, I'm not gonna talk about AI, but I will say that I think there'll be more and more algorithms that are useful. And so I don't think everybody's gonna be supplying data to grounds keeping robots, nor do I think everybody's gonna make their living with TikTok videos. I think in both cases, there'll be a rather small contingent that do well enough at either of those things. But I think there might be many, many, many, many of those niches that start to evolve as there are more and more algorithms, more and more robots. And it's that large number that will create the economic potential for a very large part of society to become members of new creative classes. Do you think it's possible to create a social network that competes with Twitter and Facebook that's large and centralized in this way? Not centralized, sort of large, large. How to get, all right, so I gotta tell you how to get from where we are to anything kind of in the zone of what I'm talking about is challenging. I know some of the people who run, like I know Jack Dorsey at H1N1, and I view Jack as somebody who's actually, I think he's really striving and searching and trying to find a way to make it better, but is kind of like, it's very hard to do it while in flight and he's under enormous business pressure too. So Jack Dorsey to me is a fascinating study because I think his mind is in a lot of good places. He's a good human being, but there's a big Titanic ship that's already moving in one direction. It's hard to know what to do with it. I think that's the story of Twitter. I think that's the story of Twitter. One of the things that I observed is that if you just wanna look at the human side, meaning like how are people being changed? How do they feel? What does the culture like? Almost all of the social media platforms that get big have an initial sort of honeymoon period where they're actually kind of sweet and cute. Yeah. Like if you look at the early years of Twitter, it was really sweet and cute, but also look at Snap, TikTok. And then what happens is as they scale and the algorithms become more influential instead of just the early people, when it gets big enough that it's the algorithm running it, then you start to see the rise of the paranoid style and then they start to get dark. And we've seen that shift in TikTok rather recently. But I feel like that scaling reveals the flaws within the incentives. I feel like I'm torturing you. I'm sorry. It's not torture. No, because I have hope for the world with humans and I have hope for a lot of things that humans create, including technology. And I just, I feel it is possible to create social media platforms that incentivize different things than the current. I think the current incentivization is around like the dumbest possible thing that was invented like 20 years ago, however long. And it just works and so nobody's changing it. I just think that there could be a lot of innovation for more, see, you kind of push back this idea that we can't know what longterm growth or happiness is. If you give control to people to define what their longterm happiness and goals are, then that optimization can happen for each of those individual people. Well, I mean, imagine a future where probably a lot of people would love to make their living doing TikTok dance videos, but people recognize generally that's kind of hard to get into. Nonetheless, dance crews have an experience that's very similar to programmers working together on GitHub. So the future is like a cross between TikTok and GitHub and they get together and they have rights. They're negotiating for returns. They join different artists societies in order to soften the blow of the randomness of who gets the network effect benefit because nobody can know that. And I think an individual person might join a thousand different data unions in the course of their lives, or maybe even 10,000. I don't know, but the point is that we'll have like these very hedge distributed portfolios of different data unions we're part of. And some of them might just trickle in a little money for nonsense stuff where we're contributing to health studies or something. But I think people will find their way. They'll find their way to the right GitHub like community in which they find their value in the context of supplying inputs and data and taste and correctives and all of this into the algorithms and the robots of the future. And that is a way to resist the lizard brain based funding system mechanisms. It's an alternate economic system that rewards productivity, creativity, value as perceived by others. It's a genuine market. It's not doled out from a center. There's not some communist person deciding who's valuable. It's actual market. And the money is made by supporting that instead of just grabbing people's attention in the cheapest possible way, which is definitely how you get the lizard brain. Yeah, okay. So we're finally at the agreement. But I just think that... So yeah, I'll tell you how I think to fix social media. There's a few things. So one, I think people should have complete control over their data and transparency of what that data is and how it's being used if they do hand over the control. Another thing they should be able to delete, walk away with their data at any moment, easy. Like with a single click of a button, maybe two buttons, I don't know, just easily walk away with their data. The other is control of the algorithm, individualized control of the algorithm for them. So each one has their own algorithm. Each person has their own algorithm. They get to be the decider of what they see in this world. And to me, that's, I guess, fundamentally decentralized in terms of the key decisions being made. But if that's made transparent, I feel like people will choose that system over Twitter of today, over Facebook of today, when they have the ability to walk away, to control their data and to control the kinds of things they see. Now, let's walk away from the term AI. You're right. In this case, you have full control of the algorithms that help you if you want to use their help. But you can also say a few to those algorithms and just consume the raw, beautiful waterfall of the internet. I think that, to me, that's not only fixes social media, but I think it would make a lot more money. So I would like to challenge the idea. I know you're not presenting that, but that the only way to make a ton of money is to operate like Facebook is. I think you can make more money by giving people control. Yeah, I mean, I certainly believe that. We're definitely in the territory of a wholehearted agreement here. I do want to caution against one thing, which is making a future that benefits programmers versus this idea that people are in control of their data. So years ago, I cofounded an advisory board for the EU with a guy named Jay. Giovanni Bottarelli, who passed away. It's one of the reasons I wanted to mention it. A remarkable guy who'd been, he was originally a prosecutor who was throwing mafioso in jail in Sicily. So he was like this intense guy who was like, I've dealt with death threats. Mark Zuckerberg doesn't scare me or whatever. So we worked on this path of saying, let's make it all about transparency and consent. And it was one of the feeders that led to this huge data privacy and protection framework in Europe called the GDPR. And so therefore we've been able to have empirical feedback on how that goes. And the problem is that most people actually get stymied by the complexity of that kind of management. They have trouble and reasonably so. I don't, I'm like a techie. I can go in and I can figure out what's going on. But most people really do. And so there's a problem that it differentially benefits those who kind of have a technical mindset and can go in and sort of have a feeling for how this stuff works. I kind of still want to come back to incentives. And so if the incentive for whoever is, if the commercial incentive is to help the creative people of the future make more money, because you get a cut of it, that's how you grow an economy. Not the programmers. Well, some of them will be programmers. It's not anti programmer. I'm just saying that it's not only programmers, you know? So, yeah, you have to make sure the incentives are right. I mean, I like control is an interface problem to where you have to create something that's compelling to everybody, to the creatives, to the public. I mean, there's, I don't know, Creative Commons, like the licensing, there's a bunch of legal speak just in general, the whole legal profession.

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