최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →
Matthew Berman어제 +34AI Engineer어제 +6Theo - t3․gg어제The Builders어제 +1a16z어제 +2硅谷101어제 +1SemiAnalysis어제 +1Chris Williamson어제Cheeky Pint어제Invest Like The Best어제

필터 결과

42개
정렬
주제Open-weight models인물Matthew Berman
슬라이드 2장0:36EN
Matthew Berman· 2026년 10월 25일Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.평가(Evals)코딩 에이전트Open-weight models
슬라이드 4장13:58EN
Matthew Berman· 2026년 8월 7일Google’s AI Leadership Changes and the Innovator’s DilemmaMatthew Berman · Forward FutureMatthew Berman considers Google’s research history, two leadership changes and an open-model strategy in August 2026.AI StrategyLeadershipOpen-weight models+2
슬라이드 5장15:37EN
Matthew Berman· 2026년 8월 4일Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
슬라이드 5장52:29EN
Matthew Berman· 2026년 7월 24일Claude 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
1:03EN
Matthew Berman· 2026년 7월 15일Reported Chinese AI Export Discussions and a Strategic DebateMatthew Berman · Forward FutureMatthew Berman considers reported restrictions on overseas access to Chinese AI models and questions whether limiting their distribution would serve China’s interests.AI RegulationGeopoliticsOpen-weight models
0:42EN
Matthew Berman· 2026년 6월 30일Matthew Berman's Concern About Access to Frontier AIMatthew Berman · Forward FutureIn a short commentary, Berman argues that restricted model access could disadvantage startups and slow US innovation.AI RegulationOpen-weight modelsAI Strategy
슬라이드 5장9:47EN
Matthew Berman· 2026년 4월 3일Gemma 4: Smaller Open-Weight Models for Local AIMatthew Berman · Forward FutureMatthew Berman reviews Google’s model sizes, multimodal features and reported benchmarks, with an eye toward local agents.Open-weight modelsLocal inferenceFoundation Models+2
슬라이드 3장20:35EN
Matthew Berman· 2026년 3월 16일A Beginner’s Guide to AI Assistants, Media Models and Coding AgentsMatthew Berman · Forward FutureMatthew Berman surveys hosted assistants, downloadable models, image and video tools, world models, coding agents and audio generation in a March 2026 overview.Generative mediaAI agentsOpen-weight models+2
슬라이드 4장18:09EN
Matthew Berman· 2025년 12월 15일Training a GPT-OSS 2048 Strategy With Verifiable RewardsMatthew Berman · Forward FutureMatthew Berman walks through a local Unsloth notebook, reward checks and one 2048 training run on an RTX 5090.Reinforcement LearningPost-trainingOpen-weight models+2
슬라이드 4장15:01EN
Matthew Berman· 2025년 12월 13일AI News in December 2025: Disney, DeepSeek, Runway and MetaMatthew Berman · Forward FutureMatthew Berman reviews an OpenAI licensing deal, reports about AI chips and Meta’s model strategy, video generation, and Rivian’s autonomy plans.AI StrategyOpenAIGenerative media+2
슬라이드 5장9:41EN
Matthew Berman· 2025년 12월 9일AI News in December 2025: Devstral 2, Agent Standards and Data-Center PowerMatthew Berman · Forward FutureMatthew Berman discusses model-release predictions, open agent infrastructure and ideas for powering terrestrial and space-based computing.코딩 에이전트MCPOpen-weight models+2
슬라이드 5장7:49EN
Matthew Berman· 2025년 12월 2일DeepSeek V3.2: Reasoning, Sparse Attention and Agent TrainingMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s December 2025 model release, its benchmark results and the techniques used to improve long-context efficiency and tool use.Foundation ModelsOpen-weight modelsReasoning & test-time compute+2
슬라이드 9장15:30EN
Matthew Berman· 2025년 7월 31일Qwen3 Tested: Coding Demos, Long Context and Response BehaviorMatthew Berman · Forward FutureMatthew Berman tests generated simulations, political and safety prompts, hand tracking and word puzzles using a hosted Qwen3 model.Open-weight models코딩 에이전트평가(Evals)+2
슬라이드 7장14:04EN
Matthew Berman· 2025년 4월 29일Qwen3: Open Weights, Adjustable Reasoning and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews the April 2025 Qwen3 family, its benchmark claims, training pipeline and local demonstration.Open-weight models모델과 학습Reasoning & test-time compute+2
슬라이드 5장7:41EN
Matthew Berman· 2025년 1월 30일CES 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
슬라이드 3장5:27EN
Matthew Berman· 2025년 1월 29일Ways 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
슬라이드 4장20:34EN
Matthew Berman· 2025년 1월 28일DeepSeek 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.모델과 학습AI cost & performanceOpen-weight models+2
슬라이드0:55EN
Matthew Berman· 2025년 1월 23일A 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
슬라이드 5장8:52EN
Matthew Berman· 2025년 1월 21일Industry 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
슬라이드 5장19:38EN
Matthew Berman· 2024년 9월 9일Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight models평가(Evals)+2
슬라이드 4장15:50EN
Matthew Berman· 2024년 7월 23일Llama 3.1: Meta’s 405B Model and the Open-Weight EcosystemMatthew Berman · Forward FutureMatthew Berman reviews Meta’s July 2024 release, the smaller models, reported benchmarks, synthetic data and the proposed Llama Stack.Open-weight models모델과 학습Benchmarks+2
슬라이드 6장15:16EN
Matthew Berman· 2024년 7월 19일AI News in July 2024: Small Models, Robot Hands and a Self-Charging DroneMatthew Berman · Forward FutureMatthew Berman reviews model announcements, creative demonstrations, AI education and training-data concerns in a snapshot of one week in 2024.AI researchRoboticsOpen-weight models+2
슬라이드 6장11:20EN
Matthew Berman· 2024년 7월 1일Matthew Berman Adapts Mixture of Agents to Groq InferenceMatthew Berman · Forward FutureA 2024 tutorial changes an open-source multi-model ensemble to use Groq, then tests its interactive output and fixes a streaming error.Multi-agent systemsAgent orchestrationInference+1
슬라이드 3장16:06EN
Matthew Berman· 2024년 6월 18일AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
더 보기42개 중 24개 표시