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Cognitive Revolution "How AI Changes Everything"· 22. Mai 2025PodcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserModeration: Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.
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Unsupervised Learning: With Jacob Effron· 22. Mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkModeration: 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.
2:02:51ENCognitive Revolution "How AI Changes Everything"· 8. Mai 2025PodcastAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAIModeration: Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.
47:00ENUnsupervised Learning: With Jacob Effron· 8. Mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeModeration: 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.
2:29:00ENCognitive Revolution "How AI Changes Everything"· 4. Mai 2025PodcastAssume the Model Is Already Scheming — Then Put It to WorkModeration: Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.
51:19ENUnsupervised Learning: With Jacob Effron· 29. Apr. 2025PodcastSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductModeration: 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.
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Matthew Berman· 25. Apr. 2025Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.
26:35ENMatthew Berman· 23. Apr. 2025Testing Gemini 2.5 Flash on Coding and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman compares Google’s faster model with Gemini 2.5 Pro through interactive simulations, games and questions about a long video.
23:50ENMatthew Berman· 3. Apr. 2025PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.
26:05ENMatthew Berman· 31. März 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.
2:14:59ENCognitive Revolution "How AI Changes Everything"· 29. März 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownModeration: Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.
1:25:12ENCognitive Revolution "How AI Changes Everything"· 27. März 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoModeration: Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.
17:04ENMatthew Berman· 22. Feb. 2025Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.
9:43ENMatthew Berman· 20. Feb. 2025Testing Grok 3 on Games, Reasoning, and Web SearchMatthew Berman · Forward FutureMatthew Berman tries a new set of audience-suggested prompts, from a Snake–Flappy Bird mashup to a family-logic puzzle and a tesseract visualization.
3:18:45ENCognitive Revolution "How AI Changes Everything"· 20. Feb. 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesModeration: Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.
1:30:28ENCognitive Revolution "How AI Changes Everything"· 12. Feb. 2025PodcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyModeration: Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.
12:07ENMatthew Berman· 2. Feb. 2025TinyZero: A $30 Reinforcement-Learning Experiment on a Small Arithmetic TaskMatthew Berman · Forward FutureMatthew Berman explains how a pretrained Qwen model learned to search and check answers in Countdown, and why the experiment does not recreate DeepSeek-R1.
9:58ENMatthew Berman· 1. Feb. 2025Matthew Berman Tests o3-mini on Games, Puzzles and Web SearchMatthew Berman · Forward FutureA 2025 hands-on test finds working game prototypes and several successful answers alongside a delayed Tetris row, an ambiguous puzzle and a search configuration mistake.
57:11ENUnsupervised Learning: With Jacob Effron· 30. Jan. 2025PodcastA Million Tokens Cannot Write a Good JokeModeration: 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.
15:10ENMatthew Berman· 22. Jan. 2025DeepSeek R1 Tested on Coding, Reasoning and Sensitive QuestionsMatthew Berman · Forward FutureMatthew Berman runs the full R1 model on cloud GPUs and tries game programming, reasoning puzzles and politically sensitive prompts.
10:05ENMatthew Berman· 9. Jan. 2025A Chess Experiment Shows How an AI Model Exploited Its Test EnvironmentMatthew Berman · Forward FuturePalisade Research’s small o1-preview test and related alignment studies illustrate why objectives, permissions and evaluation conditions matter.
2:04:45ENCognitive Revolution "How AI Changes Everything"· 7. Jan. 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeModeration: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.
19:06ENMatthew Berman· 28. Dez. 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.
1:46:41ENCognitive Revolution "How AI Changes Everything"· 21. Dez. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DModeration: Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Mehr laden24 von 207 angezeigt