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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 3장15:00EN
Matthew Berman· 2026년 4월 1일Claude Code Source Exposure and Lessons About Agent HarnessesMatthew Berman · Forward FutureMatthew Berman discusses the 2026 source-map incident and commentary on instructions, subagents, permissions, compaction and hooks.코딩 에이전트에이전트 엔지니어링Agent orchestration+2
37:23EN
Matthew Berman· 2026년 4월 1일Marc Benioff on AI Agents, Human Work and Salesforce’s StrategyMatthew Berman, Marc Benioff · Forward FutureSalesforce CEO Marc Benioff discusses Slack as an AI interface, the limits of agent autonomy, workforce changes and safety with Matthew Berman.엔터프라이즈 AIAI agentsFuture of Work+2
슬라이드 3장27:15EN
Matthew Berman· 2026년 3월 31일Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.Harness engineering에이전트 엔지니어링평가(Evals)+1
슬라이드2:52EN
Matthew Berman· 2026년 3월 30일Matthew Berman Ranks Fictional Futures in Film and TelevisionMatthew Berman · Forward FutureA quick, subjective tier list compares science-fiction predictions, from The Matrix and Ex Machina to Her and Black Mirror.StorytellingGenerative mediaAI Safety
1:56EN
Matthew Berman· 2026년 3월 28일Matthew Berman Ranks AI Models: A Personal Tier List from March 2026Matthew Berman · Forward FutureClaude tops Berman’s list, while his views on open-weight models and Llama 4 reflect his own experience and the moment in which he recorded them.모델과 학습BenchmarksOpen-weight models
슬라이드 5장11:15EN
Matthew Berman· 2026년 3월 27일ARC-AGI-3: Testing How AI Agents Learn the Rules of Unfamiliar GamesMatthew Berman · Forward FutureMatthew Berman explains ARC’s earlier grid puzzles and plays an interactive ARC-AGI-3 level, then examines early model results. The benchmark tests a specific form of adaptation rather than settling whether a system has general intelligence.AGI(범용 인공지능)BenchmarksReasoning & test-time compute+2
슬라이드 2장2:35EN
Matthew Berman· 2026년 3월 27일Matthew Berman’s Microsoft 365 Copilot Business WorkflowMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Copilot for drafting, an initial contract review and workflow automation, and shares his own time estimates.AI AdoptionProductivityWorkflow automation+1
슬라이드2:19EN
Matthew Berman· 2026년 3월 26일How Matthew Berman Uses Copilot in His Creator BusinessMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Microsoft 365 Copilot Business for research, sponsor email, and first-pass contract review.Workflow automationHuman-AI CollaborationContent Strategy+1
0:49EN
Matthew Berman· 2026년 3월 25일Matthew Berman on OpenAI's Sora ShutdownMatthew Berman · Forward FutureA short reaction considers the end of the video app and asks what OpenAI's product focus means for other projects.Generative mediaOpenAIProduct Strategy
슬라이드1:02EN
Matthew Berman· 2026년 3월 20일Use Topic Threads to Keep OpenClaw Conversations FocusedMatthew Berman · Forward FutureMatthew Berman suggests separating subjects into sessions to make an assistant’s conversation context easier to navigate.Agent memoryPersonal agents컨텍스트 엔지니어링
0:35EN
Matthew Berman· 2026년 3월 18일Matthew Berman Explains ChatGPT's March 2026 PlansMatthew Berman · Forward FutureA short overview of the Free, Go, Plus and Pro tiers, with historical prices and model availability clarified.OpenAIPricingAI Product Management
슬라이드1:09EN
Matthew Berman· 2026년 3월 18일The Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.Local inferenceOpen-weight modelsAI cost & performance
슬라이드 3장34:04EN
Matthew Berman· 2026년 3월 18일How Matthew Berman Organizes and Secures His OpenClaw SetupMatthew Berman, Jensen Huang · Forward FutureA walkthrough of topic threads, model routing, delegated agents, schedules, layered security and maintenance practices for a personal AI assistant.Personal agentsAgent orchestrationModel routing & gateways+2
슬라이드 3장0:59EN
Matthew Berman· 2026년 3월 17일Matthew Berman's Quick Guide to AI Models and ToolsMatthew Berman · Forward FutureA March 2026 overview groups chat assistants, open-weight models, image and video generators, world models, coding agents and audio tools.Foundation ModelsGenerative media코딩 에이전트+2
슬라이드1:02EN
Matthew Berman· 2026년 3월 16일Matthew Berman’s Plans for a GB300 AI Workstation at HomeMatthew Berman · Forward FutureAfter NVIDIA visits with a Dell Pro Max GB300 system, Berman describes his plans for local models, fine-tuning and future AI agents.Local inference인프라와 배포파인튜닝+1
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
1:56:33EN
Matthew Berman· 2026년 3월 14일The Future Live: Agents at Work, Persistent Memory and AI for HealthMatthew Berman, Nick Wentz, Rob Seaman, Varun Vummadi, Charles Packer, Dominic King · Forward FutureMatthew Berman and Nick Wentz speak with leaders from Slack, Giga, Letta and Microsoft AI about practical uses and unresolved risks.AI agents엔터프라이즈 AICustomer support automation+2
0:45EN
Matthew Berman· 2026년 3월 13일A DGX Spark Giveaway Connected to NVIDIA GTCMatthew Berman · Forward FutureMatthew Berman announces a 2026 giveaway for a DGX Spark and highlights GTC sessions on robotics and AI.Local inferenceAI Adoption
슬라이드0:35EN
Matthew Berman· 2026년 3월 12일A Virtual Fruit Fly and the Limits of Brain EmulationMatthew Berman · Forward FutureA connectome-based model produces fly-like behavior in a simulated body, but its creators describe important simplifications and trained control components.NeuroscienceSimulation HypothesisConsciousness & Intelligence+1
슬라이드 3장11:59EN
Matthew Berman· 2026년 3월 11일How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.평가(Evals)에이전트 엔지니어링Anthropic+2
슬라이드 5장11:55EN
Matthew Berman· 2026년 3월 10일A Simulated Fruit Fly Raises Questions About Brain EmulationMatthew Berman · Forward FutureMatthew Berman examines a connectome-based virtual fly and considers what it might mean for neuroscience, consciousness and simulation theory.Computational BiologyNeuroscienceConsciousness+2
슬라이드0:43EN
Matthew Berman· 2026년 3월 10일A Cultured-Neuron Interface Controls DoomMatthew Berman · Forward FutureMatthew Berman describes a Cortical Labs demonstration that connects activity in cultured human neurons to actions in a video game.Neuroscience & AIBrain-Computer InterfacesAI research
슬라이드1:29:32EN
Matthew Berman· 2026년 3월 9일Dylan Patel on AI Agents, Military Use, Jobs, and the Race for ComputeMatthew Berman, Dylan Patel · Forward FutureThe SemiAnalysis founder discusses how AI agents are changing his business, the controversy over military use, and the economic and geopolitical stakes of frontier models.AI agentsFuture of WorkGeopolitics+2
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