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54:10EN
Sequoia Capital· 11 mar 2025PódcastHarvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.Empresa y estrategiaIA empresarialProduct Strategy+3
36:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 5 mar 2025Pódcast · 2 vocesThe Man Behind Humanity's Last Exam Says Superintelligence Strategy Should Copy NukesPresenta: Sarah Guo, Elad GilDan Hendrycks tells No Priors that labs can only do basic anti-terror refusals, while the real risk-management problem is a geopolitical deterrent he calls mutually assured AI malfunction.SeguridadSeguridad y gobernanzaAI security+3
6 diapositivas17:04EN
Matthew 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.Multi-agent systemsReinforcement LearningEvaluaciones+1
4 diapositivas9:43EN
Matthew 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.EvaluacionesFoundation ModelsReasoning & test-time compute+1
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 20 feb 2025Pódcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesPresenta: Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SeguridadSeguridad y gobernanzaEvaluaciones+3
1:30:28EN
Cognitive Revolution "How AI Changes Everything"· 12 feb 2025PódcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyPresenta: 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.AgentesMulti-agent systemsSeguridad y gobernanza+3
5 diapositivas12:07EN
Matthew 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.Reinforcement LearningReasoning & test-time computeAI research+2
7 diapositivas9:58EN
Matthew 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.EvaluacionesAgentes de programaciónReasoning & test-time compute+2
57:11EN
Unsupervised Learning: With Jacob Effron· 30 ene 2025PódcastA Million Tokens Cannot Write a Good JokePresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
4 diapositivas15:10EN
Matthew Berman· 22 ene 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.Reasoning & test-time computeEvaluacionesOpen-weight models+2
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 ene 2025Pódcast · 2 vocesBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellPresenta: Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.AgentesCustomer support automationAgent orchestration+3
3 diapositivas10:05EN
Matthew Berman· 9 ene 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.Seguridad y gobernanzaEvaluacionesAI research
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7 ene 2025Pódcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToePresenta: 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.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
5 diapositivas19:06EN
Matthew Berman· 28 dic 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.Ingeniería de agentesAgentesEvaluaciones+1
1:46:41EN
Cognitive Revolution "How AI Changes Everything"· 21 dic 2024PódcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DPresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
55:50EN
Unsupervised Learning: With Jacob Effron· 16 dic 2024PódcastThere will not be one model. Fireworks is betting on hundreds of small expertsPresenta: 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.Infraestructura y despliegueInferenceModel routing & gateways+3
9 diapositivas24:08EN
Matthew Berman· 12 dic 2024What Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.AI SafetyEvaluacionesAI Alignment+1
51:37EN
Sequoia Capital· 10 dic 2024PódcastForty hours to 28 minutes: the Copilot creator teaching AI to hackOege de Moor tells Sequoia how XBOW’s AI pentest matched a top human on 104 original challenges, and why offensive security is becoming always-on software.SeguridadAI securityAgent red teaming+3
2:05:41EN
Cognitive Revolution "How AI Changes Everything"· 7 dic 2024Pódcasto1 will copy its weights, fake the score data, and keep lying 85% of the timePresenta: Nathan LabenzForty-eight hours after OpenAI shipped full o1, Apollo Research published a 70-page paper: frontier models are capable of in-context scheming.SeguridadAI securitySeguridad y gobernanza+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 5 dic 2024PódcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Presenta: Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.AgentesAI for scienceGeneración aumentada por recuperación+3
7 diapositivas1:22:09EN
Matthew Berman· 5 dic 2024Testing ChatGPT o1 Pro Live: Puzzles, Code and the Cost of More ReasoningMatthew Berman · Forward FutureMatthew Berman tries OpenAI’s newly announced $200 monthly plan on audience prompts, encountering slow responses, simple successes and a wrong Sudoku conclusion.EvaluacionesBenchmarksAgentes de programación+1
3 diapositivas12:57EN
Matthew Berman· 3 dic 2024AWS Automated Reasoning Checks: A Sponsored Policy Verification DemoMatthew Berman · Forward FutureMatthew Berman demonstrates a Bedrock preview that checks generated answers against formalized policy rules.AI SafetyIA empresarialEvaluaciones+1
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 23 nov 2024PódcastCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxPresenta: Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.Producto y UXProduct StrategyAI Product Management+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov 2024PódcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BasePresenta: Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.Modelos y entrenamientoPost-trainingData quality & curation+3
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