筛选结果
38 篇排序
1:26:46ENThere Likely Is a Level of Intelligence We Shouldn't Go Past主持 Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
2:13:27EN → 简体中文他写书要叫停 AI 竞赛,自己却差点对 Claude 上了瘾主持 Nathan Labenz记者 Garrison Lovely 相信 AGI 实验室说的话,拒绝“泡沫论”的说法,并主张冻结前沿研发,直到公众真正表示同意。
3:10:49EN → 简体中文冲刺时刻:Ajeya Cotra 为超级智能到来前的几个月准备的剧本主持 Nathan Labenz一场关于递归自我改进(recursive self-improvement)、公众预警系统,以及用每一代 AI 去对齐(alignment)和控制下一代的对话。
1:44:15ENNathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anyway主持 Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.
3:27:22EN → 简体中文AI 牌桌只剩三张椅子:Zvi 谈中盘、就业与 Anthropic 的承诺主持 Nathan Labenz这是 Zvi Mowshowitz 第 12 次做客 Cognitive Revolution。他认为,2026 年初是中盘的开始:只剩三家实验室还在牌桌上,真正的就业冲击已经在进行,而 Anthropic 的安全承诺如今被缩减为一句“相信我们”。
1:03:00ENA Model That Solves New Math Problems Every Week Still Isn't AGI主持 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
1:55:02EN → 简体中文AGI 指数基金:MATS 如何筛选下一批 120 名 AI 安全研究者主持 Nathan LabenzMATS 联合执行董事 Ryan Kidd 告诉 Nathan Labenz,他为什么不肯大声喊出时间表,为什么每一种安全技术同时也是能力技术,以及究竟谁能被录用。
2:20:35ENChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.主持 Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.
3:14:49EN → 简体中文今年夏天,什么都没有突破曲线:Zvi 为什么拉长了 AGI 时间表主持 Nathan Labenz这是 Zvi Mowshowitz 第十次做客《The Cognitive Revolution》播客。他认为 GPT-5 和国际数学奥林匹克(IMO)金牌都在既有趋势之内,而芯片政策、能源问题和强化学习让他的末日概率(p(doom))微微上调。
2:12:04EN → 简体中文从等了五年的电话,到每月 480 万亿 Token嘉宾 Sundar Pichai · 主持 Lex FridmanSundar Pichai 与 Lex Fridman 聊金奈的童年、AI 这套组合拳、搜索、Chrome、Waymo,以及当新闻标题都在说谷歌已经完蛋时,他为什么依然保持镇定。
2:01:42ENHe Put 40 Percent on AI Takeover in Two Years, Then Bought a Bio Shelter主持 Nathan LabenzRedwood Research's Josh Clymer walks through a disturbingly grounded story of how a misaligned model could seize a lab, a biosphere, and a civilization before 2027.
1:57:00ENLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First主持 Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.
1:59:30EN → 简体中文放弃 OpenAI 数百万美元股权之后,他为 AGI 实验室写下四条规则主持 Nathan LabenzDaniel Kokotajlo 与 Dean W. Ball 在 AI 监管问题上观点不同,却共同主张前沿实验室需要披露能力、公开模型规格、提交安全论证,并设立吹哨人保护。
5:15:00EN → 简体中文Dario Amodei:这部规模化电影他已经看过太多遍嘉宾 Dario Amodei · 主持 Lex FridmanAnthropic 首席执行官给前沿模型的训练成本和 AGI 算了账,随后把话筒交给塑造 Claude 性格、并研究其权重内部结构的人。
1:54:17ENMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting Desk主持 Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.
46:09ENOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered主持 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
55:13ENThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.
1:01:39ENGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?主持 Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.
1:29:21EN2,700 AI Authors, No Consensus: Even Odds of HLMI in 2047, 5% Extinction主持 Nathan LabenzKatja Grace of AI Impacts walks Nathan Labenz through a survey of researchers who published in top venues in 2022—and why the field’s only real consensus is uncertainty plus more safety work.
1:50:09ENNine Hundred Occupations, Twenty Years, and Still No AI Revolution主持 Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.
2:42:44EN → 简体中文每周写上万字的前交易员,把 AI 末日概率估在 60%主持 Nathan LabenzZvi Mowshowitz 对 Nathan Labenz 说,今天的语言模型是一份礼物;超过人类水平之后,默认的未来是灭绝,或者一个毫无价值的宇宙。他还谈到,究竟谁真正在推动 AI 的争论。
1:42:48ENThe Skype Co-Founder Who Wants a Six-Month Pause on Frontier AI主持 Nathan LabenzJaan Tallinn argues that each 10× jump in training compute carries a 1 to 50 percent chance of ending everything, and that the labs still will not say when they will stop.
1:33:49EN → 简体中文只因还不够强才安全:GPT-4 红队测试者与两位创始人谈暂停主持 Nathan LabenzNathan Labenz 花了六个月想让 GPT-4 行为失常,他希望各家实验室停止训练更大的模型;Chroma 的 Anton Troynikov 和 Lindy 的 Flo Crivello 则认为,六个月的冻结换不来多少东西,还可能筛选出最不谨慎的实验室。
1:36:11EN2029 Passes the Turing Test. 2045 Is Still the Singularity嘉宾 Ray Kurzweil · 主持 Lex FridmanRay Kurzweil tells Lex Fridman why his dates have not moved, how to invent in the present tense, and why the replica of his father answered the meaning of life with one word: love.
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