Chaînes mises à jour récemment

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

Résultats

899 articles
Trier
5 diapositives12:07EN
Matthew Berman· 2 févr. 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 diapositives9:58EN
Matthew Berman· 1 févr. 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.ÉvaluationsAgents de codeReasoning & test-time compute+2
3 diapositives6:44EN
Matthew Berman· 1 févr. 2025Testing DeepSeek Janus-Pro for Image Understanding and GenerationMatthew Berman · Forward FutureMatthew Berman tries the 7B multimodal model on diagrams, memes and image prompts using a sponsored cloud GPU demonstration.Vision et vidéoGenerative mediaMultimodal AI+2
6 diapositives24:22EN
Matthew Berman· 31 janv. 2025Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.Modèles et entraînementAI cost & performanceGeopolitics+2
4 diapositives9:58EN
Matthew Berman· 31 janv. 2025OpenAI o3-mini Launch: Reasoning Effort, Benchmarks and a Snake TestMatthew Berman · Forward FutureIn January 2025, Matthew Berman reviews OpenAI’s reported results and tries two coding examples with different reasoning settings.OpenAIReasoning & test-time computeBenchmarks+1
5 diapositives7:41EN
Matthew Berman· 30 janv. 2025CES 2025 and Running DeepSeek R1 Distills on an RTX 5090Matthew Berman · Forward FutureMatthew Berman tours AI demonstrations at CES and runs two quantized DeepSeek R1 distilled models locally on an NVIDIA GPU.Local inferenceOpen-weight modelsSemiconductors+2
1:50EN
Matthew Berman· 30 janv. 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.IA en entrepriseAgentsModèles et entraînement+1
Diapositives0:52EN
Matthew Berman· 29 janv. 2025Genie 2 Generates Interactive Worlds for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why Google DeepMind’s image-conditioned world model could help researchers create environments for agents, while the early demonstrations have clear limits.World modelsGenerative mediaRobotics
3 diapositives5:27EN
Matthew Berman· 29 janv. 2025Ways to Try DeepSeek R1: Hosted and Local Distilled ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates DeepSeek chat, Groq’s hosted distill and a local model in LM Studio.Local inferenceOpen-weight modelsQuantization
4 diapositives20:34EN
Matthew Berman· 28 janv. 2025DeepSeek R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines 2025 reactions to DeepSeek, from training efficiency and market losses to open weights, privacy and the possibility of a demand rebound.Modèles et entraînementAI cost & performanceOpen-weight models+2
Diapositives16:45EN
Matthew Berman· 27 janv. 2025DeepSeek-R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines the January 2025 reaction to an open-weight reasoning model, disputed cost claims and competing views of future demand for AI chips.Foundation ModelsReasoning & test-time computeOpen Source+1
4 diapositives14:55EN
Matthew Berman· 25 janv. 2025How the Industry Reacted to OpenAI Operator in 2025Matthew Berman · Forward FutureMatthew Berman reviews early views on browser agents, their limitations, competing projects and examples of delegated tasks.AI agentsComputer useOpenAI+2
Diapositives0:55EN
Matthew Berman· 23 janv. 2025A Quick RTX 5090 Local AI TestMatthew Berman · Forward FutureMatthew Berman runs an 8B DeepSeek R1 distillation locally and reports the speed of one generation.Local inferenceSemiconductorsOpen-weight models
5 diapositives37:58EN
Matthew Berman· 23 janv. 2025OpenAI Operator’s 2025 Launch: Browser Tasks, Human Control and LimitsMatthew Berman, Sam Altman · Forward FutureMatthew Berman watches the early Operator demonstration, from restaurant bookings and groceries to safety controls and benchmark results.Computer useAgentsAI Safety+1
4 diapositives15:10EN
Matthew Berman· 22 janv. 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 computeÉvaluationsOpen-weight models+2
2 diapositives7:57EN
Matthew Berman· 22 janv. 2025Stargate’s 2025 Announcement and the OpenAI–Microsoft PartnershipMatthew Berman · Forward FutureMatthew Berman reviews the planned US AI infrastructure project and a contemporaneous change to compute arrangements.Infrastructure et déploiementOpenAIAGI+1
5 diapositives8:52EN
Matthew Berman· 21 janv. 2025Industry Reactions to DeepSeek R1’s 2025 ReleaseMatthew Berman · Forward FutureMatthew Berman reviews early reactions to DeepSeek R1, from open-weight reasoning models and local hardware to benchmark results and API pricing.Open-weight modelsReasoning & test-time computeBenchmarks+2
3 diapositives12:15EN
Matthew Berman· 20 janv. 2025DeepSeek-R1: Open-Weight Reasoning, Benchmark Results and a First TestMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s January 2025 release, compares reported benchmarks and prices, and tries a handful of reasoning prompts.Reasoning & test-time computeOpen-weight modelsReinforcement Learning+2
3 diapositives16:25EN
Matthew Berman· 18 janv. 2025Why Test-Time Compute Could Reshape AI InferenceMatthew Berman, Lisa Su, Jensen Huang · Forward FutureMatthew Berman explains how extra computation at inference can improve model outputs, and why hardware executives expect a much larger inference market.AI researchModèles et entraînementAI cost & performance+1
Diapositives2:57EN
Matthew Berman· 14 janv. 2025ChatGPT Tasks: Scheduled Reminders at the 2025 LaunchMatthew Berman · Forward FutureMatthew Berman explains the initial beta of scheduled and recurring ChatGPT tasks, and places it in the context of AI assistants.OpenAIPersonal agentsWorkflow automation
Diapositives15:06EN
Matthew Berman· 13 janv. 2025Jensen Huang on General Robotics, AI Workers and ScienceMatthew Berman, Jensen Huang · Forward FutureMatthew Berman reviews a No Priors interview with NVIDIA’s CEO, discussing robots in existing environments, AI agents and predictions about scientific research.RoboticsAI agentsFuture of Work+2
2 diapositives11:00EN
Matthew Berman· 11 janv. 2025Mark Zuckerberg’s 2025 AI Engineer Prediction and the Future of Software JobsMatthew Berman, Mark Zuckerberg, Joe Rogan · Forward FutureMatthew Berman reacts to Zuckerberg’s prediction that AI could perform mid-level engineering work at Meta and weighs an optimistic view of human creativity against a reported Salesforce hiring plan.Future of WorkSoftware engineeringAI Strategy+2
3 diapositives10:05EN
Matthew Berman· 9 janv. 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.Sécurité et gouvernanceÉvaluationsAI research
6 diapositives32:29EN
Matthew Berman· 8 janv. 2025NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.AI agentsSemiconductorsWorld models+2
Charger plus24 sur 899 affichés