필터 결과
79개정렬
57:31EN
Unsupervised Learning: With Jacob Effron· 2025년 5월 22일팟캐스트The New Ruler for Models Is How Long They Can Work진행자 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· 2025년 5월 8일팟캐스트An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade진행자 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· 2025년 4월 29일팟캐스트Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product진행자 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· 2025년 4월 15일팟캐스트The Transformer Co-Author Who Says Scaling Hit a Wall진행자 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· 2025년 4월 9일팟캐스트The $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Market진행자 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· 2025년 3월 28일팟캐스트Open-source models are 5% of enterprise use — and GPT wrappers won진행자 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· 2025년 3월 17일팟캐스트A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped진행자 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· 2025년 3월 5일팟캐스트Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year진행자 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· 2025년 2월 19일팟캐스트The Cheaper Intelligence Gets, the More of It We'll Buy진행자 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· 2025년 1월 30일팟캐스트A Million Tokens Cannot Write a Good Joke진행자 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· 2025년 1월 21일팟캐스트A 50,000-GPU cap and a 1,700-chip loophole진행자 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· 2024년 12월 18일팟캐스트o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring진행자 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· 2024년 12월 16일팟캐스트There will not be one model. Fireworks is betting on hundreds of small experts진행자 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· 2024년 12월 6일팟캐스트Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom진행자 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· 2024년 11월 12일팟캐스트He bet company equity that Transformer would last — then drew an AI map for 12,000 companies진행자 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· 2024년 10월 29일팟캐스트DeepL Beat Google at Translation by Refusing to Be a General Model진행자 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· 2024년 10월 3일팟캐스트o1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point진행자 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· 2024년 6월 11일팟캐스트Scott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moat진행자 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· 2024년 3월 6일팟캐스트A Broken Belt Buckle Turned Gucci's Call Center Into a Sales Floor진행자 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· 2024년 1월 9일팟캐스트OpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Years진행자 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 Effron팟캐스트A Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Control진행자 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 Effron팟캐스트Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents진행자 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 Effron팟캐스트Legal Tech's Step-Function Moment: Why Legora Bet on the Last 20%진행자 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 Effron팟캐스트Inside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partners진행자 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.더 보기79개 중 24개 표시