絞り込み結果
277 件並び順
3:10:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月11日ポッドキャストCrunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligenceホスト Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.
25:15EN
Matthew Berman· 2026年4月8日Matthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.
1:13ENMatthew Berman· 2026年4月8日MemPalace Organizes AI Memory With a Palace MetaphorMatthew Berman · Forward FutureMatthew Berman introduces an open-source memory project and its reported retrieval score, while noting that AI memory tools already exist.
2:36:50EN
Zhang Xiaojun Podcast· 2026年3月31日ポッドキャスト · 2 人Xie Chen on the Data Pyramid Behind Robotics and AIゲスト Xie Chen · ホスト 张小珺The Guanglun Intelligence founder explains how real-robot experience, simulation and human demonstrations could work together, and why evaluation matters as much as data volume.
27:15ENMatthew Berman· 2026年3月31日Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.
1:18:46ENCognitive Revolution "How AI Changes Everything"· 2026年3月16日ポッドキャスト90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Upホスト Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.
11:59ENMatthew Berman· 2026年3月11日How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.
2:17:36ENCognitive Revolution "How AI Changes Everything"· 2026年3月1日ポッドキャストCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail Togetherホスト Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.
2:03:56ENCognitive Revolution "How AI Changes Everything"· 2026年2月25日ポッドキャスト260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIホスト Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
54:26ENCognitive Revolution "How AI Changes Everything"· 2026年2月22日ポッドキャストTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Readyホスト Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
0:25ENMatthew Berman· 2026年2月20日Gemini 3.1 Pro: Four Benchmark Results from Its 2026 LaunchMatthew Berman · Forward FutureMatthew Berman reviews reported academic, abstract-reasoning and coding scores; the chart distinguishes ARC-AGI-2 from GPQA Diamond.
44:46EN
Sequoia Capital· 2026年2月10日ポッドキャストA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.
0:53ENMatthew Berman· 2026年2月6日Claude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.
1:57:56ENCognitive Revolution "How AI Changes Everything"· 2026年2月5日ポッドキャストA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipelineホスト Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
39:47ENSequoia Capital· 2026年1月21日ポッドキャストThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.
17:44ENMatthew Berman· 2026年1月17日Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.
48:00EN
Unsupervised Learning: With Jacob Effron· 2025年12月15日ポッドキャストA Two-Second Vote Is Training Models to Be Clickbaitホスト Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
1:54:33ENMatthew Berman· 2025年12月13日Creative Agents, AI Evaluations and Enterprise Trust: Forward Future LiveMatthew Berman, Nick Wentz, Fabian Stelzer, Tejal Patwardhan, Christina Cacioppo, Jeremy Epling, Spenser Skates · Forward FutureLeaders from Glif, OpenAI, Vanta and Amplitude discuss creative workflows, knowledge-work benchmarks and practical AI adoption in December 2025.
7:14ENMatthew Berman· 2025年12月4日AWS AgentCore Adds Policy Controls, Evaluations and Episodic MemoryMatthew Berman · Forward FutureMatthew Berman examines AWS’s December 2025 agent-platform announcements and the enterprise problems they aim to address.
42:06ENUnsupervised Learning: With Jacob Effron· 2025年12月2日ポッドキャストAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5ホスト Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
1:11:18ENCognitive Revolution "How AI Changes Everything"· 2025年11月12日ポッドキャストHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the Pointホスト Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.
44:10ENSequoia Capital· 2025年10月21日ポッドキャストOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.
0:37ENMatthew Berman· 2025年10月16日Matthew Berman Shows ChatGPT Struggling With a Seahorse EmojiMatthew Berman · Forward FutureA simple question produces repeated corrections and an inconclusive answer in two ChatGPT examples.
32:22ENMatthew Berman· 2025年10月16日Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.もっと見る277 件中 24 件を表示