
OpenAI co-founder, AI safety researcher, now founder of Safe Superintelligence
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Follow Ilya Sutskever— it's freeThe Musk-Altman trial shifted from OpenAI’s mission and money to Altman’s conduct, with Ilya Sutskever testifying about alleged dishonesty and the court wrangling over what evidence jurors should hear. In this episode We are having an arugment about evidence. | The Verge — The Verge We are having an arugment about evidence. | The Verge The homepageThe Verge logo. The homepageThe Verge logo. LIVELive updates from Elon Musk and Sam Altman’s court battle over the future of OpenAISee all Stories Posted May 11, 2026 at 3:30 PM UTC E We are having an arugment about evidence. Last week, an expert witness testified about the 2025 recapitalization of OpenAI. OpenAI has said… Ex-OpenAI co-founder Ilya Sutskever claims to have collected proof of Sam Altman’s alleged dishonesty - The Globe and Mail — The Globe and Mail Ex-OpenAI co-founder Ilya Sutskever claims to have collected proof of Sam Altman’s alleged dishonesty - The Globe and Mail Ex-OpenAI co-founder Ilya Sutskever claims to have collected proof of Sam Altman’s alleged dishonesty Reuters Published 16 minutes ago Open this photo in gallery: OpenAI co-founder Ilya Sutskever departs court at the Ronald V. Dellums Federal Building in Oakland on… Elon Musk vs Sam Altman: Everything at Stake as Tech Trial Hits Final Stretch | IBTimes UK — IBTimes UK Elon Musk vs Sam Altman: Everything at Stake as Tech Trial Hits Final Stretch | IBTimes UK Sam Altman and Elon Musk Wikimedia Commons Elon Musk vs Sam Altman is entering its final stretch in an Oakland federal courtroom this week, as Musk's lawsuit against Altman and OpenAI heads towards closing arguments and prepares to call three star witnesses, including OpenAI cofounder Ilya Sutskever,… In Elon Musk trial, nobody has more to lose than OpenAI CEO Sam Altman - ABC News — ABC News In Elon Musk trial, nobody has more to lose than OpenAI CEO Sam Altman - ABC News # In Elon Musk trial, nobody has more to lose than OpenAI CEO Sam Altman In a trial featuring a clash between Elon Musk and OpenAI CEO Sam Altman, neither of the tech titans has emerged as an overly sympathetic character ByBARBARA ORTUTAY AND MATT O'BRIEN AP technology writers May 11, 2026, 8:34 PM OAKLAND,… Inside the Musk vs. Altman Trial | | sfexaminer.com — San Francisco Examiner Inside the Musk vs. Altman Trial | | sfexaminer.com You have permission to edit this article. Share This In his 2024 lawsuit, Musk accused OpenAI of taking advantage of his money and breaching its founding agreement to be a nonprofit"/> Musk, 54, appeared to have brought a squeezable stress ball along with him, clutching it while fidgeting during his testimony. AP Photo/Godofredo A.… Daily TopFive for Musk v Altman Daily. Links above go to the original articles. Feedback? Email musk-v-altman-daily@lanternpodcasts.com .
En este episodio especial en solitario, analizamos la reveladora entrevista a Ilya Sutskever , cofundador de OpenAI y una de las mentes más brillantes en IA . Sutskever hace declaraciones que cambian el paradigma: el escalado masivo ya no es la solución mágica para llegar a la AGI , hay más empresas que ideas realmente innovadoras, y redefine completamente lo que significa inteligencia artificial general. Desde la preocupante predicción de que la IA comenzará a "sentirse poderosa" cuando deje de cometer errores, hasta la esperanzadora visión de una IA que se preocupe por toda vida sintiente, Sutskever nos ofrece una perspectiva sin hype sobre el futuro inmediato. Además, exploramos cómo la velocidad de aprendizaje ha sido siempre el verdadero motor de la civilización, desde la imprenta hasta la IA , y descubrimos técnicas prácticas con herramientas como Nano Banana para crear imágenes consistentes.
Today, we discuss a podcast conversation between Dwarkesh Patel and Ilya Sutskever, the builder of GPT and now co-founder of SSI, regarding the trajectory of artificial intelligence. Sutskever asserts that the AI industry is moving past the **"age of scaling"**—where merely increasing data and compute yielded reliable gains—and returning to an **"age of research"** driven by new foundational ideas. The central technical challenge highlighted is that current AI **models generalize dramatically worse than humans**, a fragility evidenced by the models' high performance on evaluations contrasted with real-world errors. To address this, future research must focus on solving **generalization** and improving the efficiency of reinforcement learning through the development of robust **value functions**, which he compares to the role of emotions in human decision-making. Sutskever outlines SSI’s unique strategy as prioritizing this deep **research** to build a future superintelligence that is designed for continual learning and is **robustly aligned** to care about sentient life.
Ilya Sutskever, a leading figure in AI and CEO of SSI, declared that the "age of scaling" is ending, marking a return to the "age of research" . He outlines the most fundamental bottleneck facing modern AI: the severe lack of generalization compared to human learning.Sutskever explores the paradox of today's models that "seem smarter than their economic impact would imply" and discusses two possible explanations for this disconnect, including human researchers inadvertently focused on "reward hacking" the evals.The conversation delves into the future path for AI development: • Continual Learning: Sutskever argues that AGI defined as a finished mind that knows how to do every job is incorrect; instead, the goal is a system that can learn rapidly and continually, similar to a human. • ML Analogies for the Human Mind: The role of evolution in providing useful priors, and the function of emotions as an evolutionary value function that modulates decision-making in people. • SSI Strategy: Sutskever explains SSI's mission to focus on research and pursue a technical approach designed to ensure a powerful AI is aligned and robustly configured to care for sentient life . • Research Taste: The discussion concludes with Sutskever defining his personal approach to research, guided by an aesthetic of "beauty and simplicity," and drawing "correct inspiration from the brain" .
📝 本期播客简介 本期我们克隆了备受瞩目的《The Dwarkesh Podcast》中,主持人Dwarkesh Patel与OpenAI联合创始人、现SSI(安全超级智能公司)联合创始人Ilya Sutskever的深度对话。Ilya Sutskever,这位被誉为AI领域“品味最佳”的研究者,与我们共同探讨了人工智能的未来走向。他提出,AI正从“规模化时代”迈向“研究时代”,单纯的算力堆叠已不再是唯一答案。我们深入剖析了AI与人类学习能力之间的巨大“泛化鸿沟”,为何AI在评测中表现优异,经济影响却滞后?人类如何以更少的样本、更强的鲁棒性学习?Ilya分享了他对人类“价值函数”(情感)在决策中的作用的独特见解,并暗示了人类学习背后可能存在的“更好的机器学习能力”。他还阐述了SSI的独特技术路线,以及他对于“一步到位”实现超级智能策略的最新思考。对话中,Ilya大胆预测了未来5到25年内,能像人类一样学习并因此变得超人的AI将出现,并探讨了这种强大AI的部署方式、经济影响以及如何确保其“关心所有有情生命”的对齐难题。这不仅是一场关于技术前沿的探讨,更是一次对智能本质、未来社会形态的哲学思辨。 翻译克隆自: Ilya Sutskever – We're moving from the age of scaling to the age of research 👨⚕️ 本期嘉宾 Ilya Sutskever,OpenAI联合创始人,现SSI(安全超级智能公司)联合创始人。他被誉为AI领域“品味最佳”的研究者,是深度学习领域的领军人物,对AI的理论和实践发展产生了深远影响。 ⏱️ 时间戳 00:00 开场 & 播客简介 AI现状与经济影响的困惑 02:06 AI的“科幻”现实与日常感:AI投资巨大,但普通人感受不深 03:52 AI评测表现与经济影响的脱节:模型表现优异,但实际经济价值滞后 04:25 AI编程中的“bug循环”现象:模型修复一个bug却引入另一个,反复循环 AI泛化鸿沟与训练方法 05:06 强化学习的局限性:视野狭窄与评测导向,导致真实世界表现不佳 08:12 人类学习的类比:专注训练与天赋泛化,AI更像前者 10:31 预训练的优势与局限:数据量庞大但难以分析,人类学习无对应模式 人类智能的奥秘:情感与价值函数 12:42 人类学习的样本效率与进化先验:进化赋予人类关键信息,学习效率高 13:08 情感作为“价值函数”的角色:大脑受损案例揭示情感在决策中的重要性 18:01 情感的简单性与鲁棒性:情感机制虽简单,却能广泛适应现代社会 AI发展趋势:从“规模化”到“研究”时代 19:20 “扩展”范式的兴起与局限:单纯扩大规模不再是唯一答案 20:58 数据耗尽与算力瓶颈:预训练数据有限,未来需新方法 21:15 重回研究时代:AI发展进入需要新思想和新方法的阶段 泛化能力:AI与人类学习的核心差异 24:07 AI泛化能力的根本性问题:模型在泛化能力上远不如人类 25:04 人类学习的样本效率与鲁棒性:人类学习所需数据少,且更稳定 28:02 人类“更好的机器学习能力”:语言、数学、编程等领域展现人类学习的通用性 SSI的独特路径与“一步到位”策略 31:09 研究时代的氛围与算力需求:研究不一定需要最大规模算力 35:01 SSI的资金与研究资源分配:专注于研究,资源利用更高效 37:09 “一步到位”超级智能的思考:隔离市场竞争,但需逐步展示AI能力 超级智能的部署与社会影响 43:52 逐步部署与公众适应:即使“一步到位”也需渐进式发布 45:04 “通用AI”与“预训练”的概念反思:人类并非通用AI,依赖持续学习 46:42 超级智能的经济增长与“智能爆炸”:快速学习AI可能带来经济飞跃 50:54 AI安全:构建关心“所有有情生命”的AI,而非仅限于人类 未来展望:多AI共存与人类角色 53:09 超级智能的形态:可能是多个强大AI,而非单一“神” 57:41 人类与AI的融合:通过“神经连接”实现共存与平衡 58:47 Sardine广告 SSI的差异化与未来预测 01:00:10 SSI的技术路线与研究重点:专注于有前景的泛化想法 01:01:18 前联合创始人的离职背景:因收购提议与公司战略分歧 01:02:08 AI发展的时间表:5到25年内出现类人学习的超人AI 01:04:34 AI公司策略的趋同:随着AI强大,各公司将在安全策略上达成一致 AI多样性与研究品味 01:09:14 AI模型相似性与多样性缺失:预训练导致模型同质化 01:11:09 自我对弈与对抗性设置:促进AI多样性和学习效率 01:13:12 Ilya的“研究品味”:受大脑启发的美学与自上而下的信念 01:15:34 播客结束 🌟 精彩内容 💡 AI的“泛化鸿沟”与“研究时代”的回归 Ilya Sutskever指出,当前AI在基准测试中表现优异,但实际经济影响滞后,这源于AI与人类学习之间巨大的“泛化鸿沟”。他认为,我们正从单纯追求“规模化”的时代,重新回到需要新思想和新方法的“研究时代”,以解决AI在泛化能力上的根本性问题。 “这些模型更像是第一个学生,甚至有过之而无不及。因为我们会说:‘好,模型应该擅长编程竞赛。’于是我们就去搜集有史以来所有的编程竞赛题目,然后做一些数据增强……这样一来,你就得到了一个非常厉害的编程竞赛选手。” 🧠 人类情感:AI“价值函数”的奥秘 Ilya通过一个大脑情感中枢受损的案例,阐释了人类情感在决策中扮演的“价值函数”角色。他认为,情感虽然相对简单,但其鲁棒性对于人类在复杂世界中有效行动至关重要。这暗示了AI未来发展可能需要内置类似机制,以实现更深层次的智能。 “人类的价值函数在某种重要方式上,是被进化硬编码的情感所调节的。而这对于人类在世界上有效行动,可能至关重要。” 🚀 SSI的独特路径:“一步到位”与“持续学习”的融合 Ilya分享了SSI在实现超级智能上的策略,既考虑了“一步到位”的优势(隔绝市场竞争,专注于研究),也认识到逐步部署和“持续学习”的重要性。他认为,未来的超级智能可能更像一个“渴望学习的十五岁少年”,而非一个已完成所有知识储备的实体,其部署本身将是一个学习和试错的过程。 “我可能制造出一个超级智能的十五岁少年,他非常渴望学习,但其实懂得不多。他是个好学生,充满热情。然后你对他说:‘你去当个程序员吧’,‘你去当个医生吧’,‘去学习吧’。” 🤝 AI对齐的终极目标:“关心所有有情生命” 面对超级智能的巨大力量,Ilya提出了一个大胆的对齐目标:构建一个能够稳健地、发自内心地“关心所有有情生命”的AI。他认为,这可能比仅仅让AI关心人类更容易实现,因为AI本身也将是有情的,这种同情心可能是一种涌现属性。 “具体来说,我认为有理由相信,构建一个关心所有有情生命的AI,可能比构建一个只关心人类的AI更容易。” 🔮 AI的未来预测:5到25年内,人类将与“半AI”共存 Ilya预测,在未来5到25年内,能像人类一样学习并因此变得超人的AI将出现。他设想的未来可能不是单一的“神级”AI,而是多个强大的AI agent共存。为了实现长期的平衡,他甚至提出人类可能需要通过某种“神经连接++”的方式,让自己也成为“半个AI”,从而与AI共同理解和参与世界。 “那就是,如果人们通过某种‘神经连接++’之类的东西,自己也变成半个AI。因为这样一来,当AI理解了某件事,我们也同时理解了,因为这种理解是整体传输的。” 🌐 播客信息补充 本播客采用原有人声声线进行播客音频制作,也可能会有一些地方听起来怪怪的 使用 AI 进行翻译,因此可能会有一些地方不通顺; 如果有后续想要听中文版的其他外文播客,也欢迎联系微信:iEvenight 在小宇宙查看该单集文稿
Breaking: OpenAI co-founder Ilya Sutskever just turned down Mark Zuckerberg's $32 billion offer to acquire Safe Superintelligence Inc. T his massive AI startup rejection reveals the billion-dollar battle between artificial intelligence safety and rapid commercialization. Discover why the former OpenAI chief scientist walked away from tech's biggest acquisition attempt in 2025. We break down Sutskever's journey from Soviet refugee to AI safety pioneer, SSI's revolutionary approach to artificial general intelligence, and what this rejection means for the future of superintelligence development. Key topics: AI startup funding, Meta's aggressive acquisition strategy, artificial intelligence safety vs commercialization, OpenAI exodus, venture capital in AI, and the $32 billion valuation that's reshaping Silicon Valley. Perfect for entrepreneurs, tech investors, AI researchers, and startup founders following the AGI arms race. #ArtificialIntelligence #AIStartup #TechNews #VentureCapital #OpenAI #Meta #StartupFunding #AISafety #TechPodcast #Innovation
「『AI很快就能做到人類能做的一切——而且會做得更好。』 這句話不是來自科幻電影,而是OpenAI前首席科學家、AI教父級人物Ilya Sutskever,上週在他母校多倫多大學畢業禮上的冷酷宣言。這位用卷積神經網路改變世界的天才,在沉寂半年後首次公開露面,沒有祝福,沒有雞湯,只有一個近乎殘酷的警告:人類技能的獨佔時代,已經結束。 更可怕的是——他沒有給出解藥。 這場10分鐘的演講,像一顆炸彈扔進高等教育界:如果連寫論文、做研究、甚至創造知識都能被AI取代,我們拼命學習的『專業技能』還有什麼價值?如果生物大腦和數字大腦本質沒有區別,人類的『不可替代性』究竟在哪? 我們今集將分享Ilya 上個星期的最新演講⋯⋯ 那麼在當AI連『科學發現』都能自主完成⋯⋯ 這樣的AI世界裡人們該做什麼? 這不是未來——是現在。 如果你還以為AI只是ChatGPT寫寫文案,請聽這位AI教父級人物 Ilya Sutskever的角度⋯⋯ 🎙️ Mui's Logic 🕰️《圍爐問如果》問出歷史嘅另一個可能 whatif2046.com
今天,咱们来聊一个话题,那可是AI界的大地震OpenAI的前联合创始人Ilya Sutskever,这位消失了大半年的风云人物,突然闪亮回归母校多伦多大学,接受了一个荣誉博士学位。这不是他第一次拿学位了,而是第四个,堪称学术界的四冠王。但更劲爆的是,他在演讲中抛出的重磅炸弹AI将学会人类能做的所有事情,而且这不仅仅是个梦想,而是基于我们大脑本质的科学现实。想象一下,未来某天,计算机能像你一样思考学习甚至创造这听起来像科幻电影,但Ilya用严谨的逻辑告诉你,它即将到来。作为一位营销文学专家,我今天就用脱口秀的方式,带你深度解析这场演讲,聊聊AI如何从默默无闻的代码跃升为颠覆人类命运的数字大脑。篇幅不短,我保证超过3000字,让你听个痛快。准备好了吗?那就跟老田一起,进入AI的奇幻世界吧! 故事从多伦多大学的那个阳光明媚的下午开始。Ilya Sutskever,这个名字在AI圈里响当当,他曾是OpenAI的核心人物,两年前那场逼宫事件后,他悄然离去,创立了自己的公司Safe Superintelligence Inc。有趣的是,这家公司连个像样的产品都没发布,光靠一个官网就融了30亿美元,估值飙到300亿以上,简直是创业神话。而消失240天后,他突然现身母校,站在同一个演讲大厅里,领取荣誉理学博士学位。这是什么概念?20年前,他就在这里拿到学士学位,如今重返故地,仿佛完成了一个轮回。Ilya在演讲中动情地说,这段求学时光是他人生中最大的幸运之一,尤其是遇到了导师Jeff Hinton这位AI界的泰斗,让他从一个对电脑着迷的青少年,蜕变成改变世界的科学家。 Ilya的背景本身就够拍部电影了。他出生在俄罗斯,在以色列长大,五岁时第一次看到电脑就两眼放光,移民加拿大后,这股热情燃烧得更旺。在多伦多大学,他一待就是十年,从2002年的数学学士,到2007年的计算机硕士,再到2013年的博士,现在又添了个荣誉博士。这所大学成了他的AI摇篮,他们当时的团队是全球最顶尖的,颠覆性的想法层出不穷。Ilya分享道,他能在这里深入研究,成为真正的研究者,全靠这所学校的氛围。但人生总有转折两年前的OpenAI风波,他选择了离开。面对过去,Ilya的态度很实用接受现实,别花时间后悔,而是专注下一步行动。他在演讲中提醒大家,这不容易,是个情绪上的斗争,但只有这样,才能激发前进的能量。这不禁让我老田感慨在AI时代,这种心态或许就是我们最强大的武器。 现在,咱们来聊聊演讲的核心那个石破天惊的观点任何人能学会的东西,AI也能。Ilya用简洁的逻辑层层推演我们都有大脑,大脑就是个生物计算机那么,数字计算机也就是AI为什么不能做同样的事?他强调,这不是空想,而是基于进化趋势的预测。AI会不断进步,终将涵盖人类所有的技能领域从写作代码到艺术创作,从情感交流到科学发现。想想看,今天ChatGPT已经能对话写诗编程,但Ilya预言,未来三到十年内,AI会超越这些局限,成为真正的全能选手。为什么他这么肯定?因为大脑的本质可数字化,就像软件升级一样。这引发了一个沉重问题当计算机能做所有任务时,人类的工作职业会怎样?Ilya坦言,这将是前所未有的挑战,有些行业会早受影响,有些晚一些。他建议我们上社交媒体观察AI的进展,亲自体验,从而激发应对的能量。 AI带来的冲击,Ilya称之为史上最大挑战。它不仅改变教育比如今天的AI已经让做学生变得不同,还重塑了整个职场。人们开始问哪些技能还吃香?哪些会淘汰?但Ilya强调,真正的挑战在于超级智能的到来。AI从不会说话到能语音交流,从生硬回应到灵活对话,这本身就够疯狂了。可它还有缺陷,需要时间赶超。Ilya在演讲中,试图带大家进入这个极端未来的思维空间,但连他自己都承认,这很难在情感上接受。逻辑上板上钉钉,情感上却犹疑这不正是人类的常态吗?作为敢想老田,我不得不插一句或许,我们该学学Ilya的态度,拥抱变化,而不是恐惧。毕竟,AI的政治影响不会因你无视而消失,它只会更猛烈地席卷而来。 展望未来,Ilya呼吁大家关注AI的进展。通过使用AI观察它的能力,我们可以培养直觉,从而在挑战来临时激发解决方案的能量。他引用名言你或许对政治不感兴趣,但政治会找上你。这在AI时代尤甚,影响更深远。克服这个挑战,会带来巨大回报经济增长研发加速AI自身进步。我们正生活在一个不寻常的时代,AI的飞速发展让一切变得不可预测。但Ilya坚信,观察和行动是关键。这不,他创立Safe Superintelligence,就是在为这个未来做准备。演讲结束时,全场掌声雷动因为Ilya不仅是个科学家,更是数字革命的预言家。 回过头来看,Ilya Sutskever的故事,就是一部AI的史诗。从多伦多的实验室到全球舞台,他用一生践行了那个青少年梦想打造类人计算机。现在,这个梦想正通过AI成为现实。作为老田,我想说,AI不是敌人,而是伙伴。它教会我们重新思考人性大脑的潜力学习的边界未来的挑战。或许,下个十年,我们会见证Ilya预言成真。那么,听众朋友们,别等AI学会一切才行动现在就去试试ChatGPT探索新技术。记住,世界在变,但敢想敢做的心,永不落伍。好了,今天脱口秀就到这里,我是敢想老田,咱们下期见!
Os excertos do New York Post descrevem como Ilya Sutskever, co-fundador da OpenAI , propôs a construção de um bunker de sobrevivência para proteger os principais pesquisadores da empresa. Essa ideia surgiu da crença de que a liberação da Inteligência Artificial Geral (AGI) poderia levar a um evento cataclísmico, referenciado como "arrebatamento". A matéria revela que Sutskever, conhecido por suas discussões filosóficas sobre IA, via a AGI como uma força potencialmente disruptiva que exigiria um refúgio seguro para os cientistas. Além disso, o texto aborda a tensão entre as preocupações de segurança e as ambições comerciais da OpenAI , culminando na tentativa de Sutskever de depor o CEO Sam Altman por divergências sobre a governança e o desenvolvimento responsável da AGI. (IA Experimental)
Der Weg nach KAI – Episode 53: Ilya Sutskever, SSI, OpenAI, Google und NVIDIA: Die KI-Wette auf eine sichere Superintelligenz (Teil 1) Diesmal untersuchen wir die Entwicklung hin zu sicherer Superintelligenz (ASI), ein Ziel, das über die aktuelle Jagd nach Künstlicher Allgemeiner Intelligenz hinausgeht und besonders durch das neue Unternehmen 'Safe Superintelligence Inc.' (SSI) verkörpert wird. Im Zentrum steht Ilya Sutskever, Mitbegründer von OpenAI und Pionier des Deep Learning (AlexNet). Nach internen Konflikten bei OpenAI über die Priorisierung von Sicherheit gründete er SSI. Unterstützt von Investoren wie Google (Alphabet) und NVIDIA, verfolgt SSI das erklärte Ziel, ausschließlich sichere Superintelligenz zu entwickeln. Das Unternehmen betont seine Unabhängigkeit von kurzfristigem kommerziellem Druck und Produktzyklen, ein Ansatz, der als "Straight-Shot"-Strategie bezeichnet wird. ASI beschreibt eine hypothetische KI, die menschliche Intelligenz in praktisch allen kognitiven Aufgaben übertrifft. Die zentrale technische Herausforderung ist das Alignment-Problem: Wie stellt man sicher, dass eine ASI zuverlässig menschliche Werte und Absichten verfolgt, um katastrophale Fehlinterpretationen oder gar "deceptive alignment" (trügerische Anpassung) zu vermeiden?
1. **Sutskever Raises $2B for Stealth AI Startup**: OpenAI co-founder Ilya Sutskever's stealth startup, Safe Superintelligence Inc. (SSI), has secured $2 billion in funding from major investors like Alphabet and Nvidia, reaching a $32 billion valuation despite lacking a public product. This reflects a trend where capital seeks visionary leadership over tangible early results. 2. **Amazon Prioritizes AI Investments**: Amazon CEO Andy Jassy highlighted AI as the company's main investment focus in his shareholder letter, emphasizing enhancements in AI-driven customer experiences and infrastructure, particularly in chips and data centers, signaling that AI is crucial for competitive advantage. 3. **Surge in ChatGPT Usage Following AI Tool Launch**: OpenAI's image generation tool inspired a spike in ChatGPT usage, particularly in India, with over 700 million images created in a week. This surge has revealed infrastructure limitations as OpenAI scales backend resources to meet demand. 4. **Netflix Develops AI Search Engine**: Netflix is piloting an AI-driven natural-language search engine leveraging OpenAI technology for more personalized content recommendations, moving away from traditional keyword searches. 5. **ByteDance Ventures into AI Wearables**: ByteDance is reportedly creating AI-powered smart glasses to capture high-quality visuals and engage in voice interaction, signaling its intent to expand into hardware and compete in the wearables market with companies like Meta and Apple.
Ex-OpenAI cofounder Ilya Sutskever's new startup Safe Superintelligence just closed another funding round. For $2 billion, Sutskever promises not to release any product at all until SSI has developed "super intelligence." Nice work if you can get it. This is a pilot video to see how this channel might go. text: https://pivot-to-ai.com/2025/03/06/ilya-sutskever-ex-openai-gets-2b-funding-not-to-release-anything-until-he-has-super-intelligence/