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79 篇排序
57:31EN
Unsupervised Learning: With Jacob Effron· 2025年5月22日播客The New Ruler for Models Is How Long They Can Work主持 Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
47:00ENUnsupervised Learning: With Jacob Effron· 2025年5月8日播客An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade主持 Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
51:19ENUnsupervised Learning: With Jacob Effron· 2025年4月29日播客Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product主持 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
51:08ENUnsupervised Learning: With Jacob Effron· 2025年4月15日播客The Transformer Co-Author Who Says Scaling Hit a Wall主持 Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.
43:51ENUnsupervised Learning: With Jacob Effron· 2025年4月9日播客The $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Market主持 Jacob EffronFour Redpoint partners walk their limited partners through where AI value will accrue—and why revenue is now the easiest metric to misread.
1:01:53ENUnsupervised Learning: With Jacob Effron· 2025年3月28日播客Open-source models are 5% of enterprise use — and GPT wrappers won主持 Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.
1:10:23ENUnsupervised Learning: With Jacob Effron· 2025年3月17日播客A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped主持 Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.
45:06ENUnsupervised Learning: With Jacob Effron· 2025年3月5日播客Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year主持 Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.
44:34ENUnsupervised Learning: With Jacob Effron· 2025年2月19日播客The Cheaper Intelligence Gets, the More of It We'll Buy主持 Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.
57:11ENUnsupervised Learning: With Jacob Effron· 2025年1月30日播客A Million Tokens Cannot Write a Good Joke主持 Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.
1:24:57ENUnsupervised Learning: With Jacob Effron· 2025年1月21日播客A 50,000-GPU cap and a 1,700-chip loophole主持 Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.
1:07:32ENUnsupervised Learning: With Jacob Effron· 2024年12月18日播客o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring主持 Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.
55:50ENUnsupervised Learning: With Jacob Effron· 2024年12月16日播客There will not be one model. Fireworks is betting on hundreds of small experts主持 Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
48:18ENUnsupervised Learning: With Jacob Effron· 2024年12月6日播客Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom主持 Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.
1:04:54ENUnsupervised Learning: With Jacob Effron· 2024年11月12日播客He bet company equity that Transformer would last — then drew an AI map for 12,000 companies主持 Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.
56:10ENUnsupervised Learning: With Jacob Effron· 2024年10月29日播客DeepL Beat Google at Translation by Refusing to Be a General Model主持 Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.
1:06:48ENUnsupervised Learning: With Jacob Effron· 2024年10月3日播客o1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point主持 Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
35:24ENUnsupervised Learning: With Jacob Effron· 2024年6月11日播客Scott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moat主持 Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
52:41ENUnsupervised Learning: With Jacob Effron· 2024年3月6日播客A Broken Belt Buckle Turned Gucci's Call Center Into a Sales Floor主持 Jacob EffronSalesforce AI CEO Clara Shih on Service GPT, Einstein Copilot, and why trust—not cost—is the real bar to enterprise scale.
1:06:39ENUnsupervised Learning: With Jacob Effron· 2024年1月9日播客OpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Years主持 Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.
1:23:56ENUnsupervised Learning: With Jacob Effron播客A Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Control主持 Jacob EffronDaniel Kokotajlo and Thomas Larsen walk through their AI 2027 scenario, where they disagree on timelines and alignment, and what they think governments and the public should do.
1:05:22ENUnsupervised Learning: With Jacob Effron播客Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents主持 Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.
54:44ENUnsupervised Learning: With Jacob Effron播客Legal Tech's Step-Function Moment: Why Legora Bet on the Last 20%主持 Jacob EffronLegora CEO Max explains the $550M Series D, AI-native legal work, foundation-model competition, and the culture required to keep moving fast.
1:01:47ENUnsupervised Learning: With Jacob Effron播客Inside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partners主持 Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.加载更多已显示 24 篇，共 79 篇