Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Résultats

59 articles
Trier
6 diapositives25:50EN
MBMatthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositives32:20EN
MBMatthew Berman· 23 oct. 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct. 2026PodcastResample Every Token and You Can Watch the Model DecideAnime : Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentsPrompting & in-context learningReasoning & test-time compute+3
5 diapositives21:29EN
MBMatthew Berman· 7 oct. 2026Mistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.Open-weight modelsBenchmarksAI security+1
56:31EN
Unsupervised Learning: With Jacob Effron· 6 oct. 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabAnime : Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Modèles et entraînementPost-trainingReinforcement Learning+3
5 diapositives20:46EN
MBMatthew Berman· 26 août 2026Open-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.Open-weight modelsAI cost & performanceAI Strategy+2
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14 août 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedAnime : Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.AgentsAgent memoryIngénierie du contexte+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2 août 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyAnime : Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.SécuritéSécurité et gouvernanceAI security+3
5 diapositives52:29EN
MBMatthew Berman· 24 juil. 2026Claude Opus 5: Benchmarks, Cost per Task, and Early ImpressionsMatthew Berman · Forward FutureMatthew Berman reacts to the model launch, examines reported benchmark and pricing data, and explains why the cost of completing a task matters more than token price alone.AnthropicBenchmarksAI cost & performance+2
4 diapositives27:13EN
MBMatthew Berman· 21 juil. 2026Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2026Podcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipAnime : Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.Modèles et entraînementLocal inferenceScaling Laws+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 12 juin 2026PodcastBills Doubled Overnight. Next, the APIs Might Vanish.Anime : Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.Entreprise et stratégieAI StrategyOpen-source ecosystems+3
5 diapositives1:42:54EN
MBMatthew Berman· 12 mai 2026AI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.AI securitySécuritéAI Safety+2
54:26EN
Cognitive Revolution "How AI Changes Everything"· 22 févr. 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyAnime : 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.Agents de codeReinforcement LearningIngénierie d’agents+3
4:25:13EN
Lex Fridman· 31 janv. 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Anime : Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Modèles et entraînementScaling LawsOpen-weight models+3
1:54:30EN
Cognitive Revolution "How AI Changes Everything"· 9 janv. 2026PodcastFrom One in Ten Cancer Cells to One in a MillionAnime : Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.Entreprise et stratégieAI StrategyAgents de code+3
1:18:40EN
Cognitive Revolution "How AI Changes Everything"· 1 janv. 2026PodcastWhen AI Becomes the Oil Well: Luke Drago on the Intelligence CurseAnime : Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.Entreprise et stratégieAI StrategySécurité et gouvernance+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 6 déc. 2025PodcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelAnime : Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.Entreprise et stratégieOpen-weight modelsData quality & curation+3
1:09:48EN
Unsupervised Learning: With Jacob Effron· 5 déc. 2025PodcastChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.Anime : Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.Entreprise et stratégieGeopoliticsAI Strategy+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 3 déc. 2025PodcastHours after training ends, Z.ai puts the weights on the internetAnime : Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.Entreprise et stratégieOpen-source ecosystemsOpen-weight models+3
2:14:55EN
Cognitive Revolution "How AI Changes Everything"· 26 juil. 2025PodcastFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI GovernanceAnime : Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.SécuritéSécurité et gouvernanceAI Regulation+3
16 diapositives23:39ZH
跟李沐学AI· 23 juil. 2025李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。IA vocaleMultimodal AIModèles et entraînement+2
54:53EN
Unsupervised Learning: With Jacob Effron· 17 juin 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Anime : Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 12 mars 2025PodcastAnt's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech TightropeAnime : Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.Entreprise et stratégieAI StrategySécurité et gouvernance+3
Charger plus24 sur 59 affichés