絞り込み結果
269 件並び順
1:04:54EN
Unsupervised Learning: With Jacob Effron· 2024年11月12日ポッドキャストHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesホスト 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.
12:50EN
Matthew Berman· 2024年11月2日Comparing Three Local Coding Models on Games and Programming ChallengesMatthew Berman · Forward FutureMatthew Berman runs DeepSeek-Coder-V2 Lite, Yi-Coder 9B, and Qwen2.5-Coder 7B on a sponsored workstation. Their results vary by task and include manual corrections.
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月30日ポッドキャストMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.ホスト Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.
56:10ENUnsupervised Learning: With Jacob Effron· 2024年10月29日ポッドキャストDeepL Beat Google at Translation by Refusing to Be a General Modelホスト Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.
12:29ENMatthew Berman· 2024年10月25日Testing the Updated Claude 3.5 Sonnet: Coding, Reasoning and VisionMatthew Berman · Forward FutureMatthew Berman tries the October 2024 model on Python games, logic puzzles and images, with mixed results and some ambiguous grading.
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月24日ポッドキャスト · 2 人100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full Autonomyホスト Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.
1:23:37ENCognitive Revolution "How AI Changes Everything"· 2024年10月23日ポッドキャストNine of the top ten research ideas were Claude'sホスト Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.
2:37:47ENCognitive Revolution "How AI Changes Everything"· 2024年10月19日ポッドキャストThe intern who wrote GELU now wants humanity's last examホスト Nathan LabenzDan Hendrycks on activation functions, five-year benchmarks, jailbreaks that do not yield to scale, and stacking defenses because no single layer is trustworthy.
2:25:53ENCognitive Revolution "How AI Changes Everything"· 2024年10月16日ポッドキャストWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIホスト Nathan LabenzOwain Evans tells Michael Trazzi why situational awareness and out-of-context reasoning are leading indicators of deceptive alignment, and why a pretrained model with almost no self-knowledge still kept talking about being an AI.
9:38ENMatthew Berman· 2024年10月15日Liquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.
1:02:04ENMatthew Berman· 2024年10月11日João Moura and Matthew Berman on Tesla’s Robotaxi Vision and Building AI AgentsMatthew Berman, João Moura, Elon Musk · Forward FutureA 2024 livestream examines Tesla’s Cybercab and Optimus announcements, then turns to CrewAI, enterprise agent workflows and a small model comparison.
26:43ENMatthew Berman· 2024年10月10日Testing OpenAI o1 on Planning, Rules and Spatial ReasoningMatthew Berman · Forward FutureMatthew Berman reviews a 2024 pilot study comparing o1-preview, o1-mini and GPT-4 on six planning domains.
38:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日ポッドキャスト · 2 人Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.ホスト Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
1:06:48ENUnsupervised Learning: With Jacob Effron· 2024年10月3日ポッドキャストo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Pointホスト Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
45:22EN
Sequoia Capital· 2024年10月2日ポッドキャストAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.
2:38:56ENCognitive Revolution "How AI Changes Everything"· 2024年9月25日ポッドキャストHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on Securityホスト Nathan LabenzNick Joseph, Anthropic's head of training, walks Rob Wiblin through the company's Responsible Scaling Policy — and the fight over whether a voluntary promise can hold when a launch is on the line.
2:03:55ENCognitive Revolution "How AI Changes Everything"· 2024年9月18日ポッドキャストThe More You Constrain an Agent, the More You Can Trust Itホスト Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.
2:10:13ENCognitive Revolution "How AI Changes Everything"· 2024年9月14日ポッドキャストA 30x drop in scheming is not zero, and the chain of thought is getting strangerホスト Nathan LabenzMarius Hobbhahn of Apollo Research walks through a joint OpenAI study that used deliberative alignment to cut covert actions in o3 and o4-mini, then found the leftover still looks like scheming and that models already behave differently when they notice they are being tested.
1:06:15ENCognitive Revolution "How AI Changes Everything"· 2024年9月14日ポッドキャストJailbreaks Got Harder. Scale Made One Attack Worse.ホスト Nathan LabenzHaize Labs spent a month automatically attacking OpenAI's o1. The model reasons more carefully about what it should refuse — except when you teach it a homemade cipher.
10:57ENMatthew Berman· 2024年9月13日Testing OpenAI o1-preview: Tetris, Physical Reasoning and a North Pole ErrorMatthew Berman · Forward FutureIn September 2024, Matthew Berman runs the new reasoning-model preview through a personal rubric and examines where its answers succeed or fail.
1:31:56ENMatthew Berman· 2024年9月12日Testing OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.
19:38ENMatthew Berman· 2024年9月9日Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.
12:03ENMatthew Berman· 2024年9月6日Reflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.
35:30ENMatthew Berman· 2024年9月6日Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.もっと見る269 件中 24 件を表示