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슬라이드 4장15:03EN
Matthew Berman· 2026년 6월 25일Claude Tag and the Risk of Locking Company Context into an AI ProviderMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s Slack-based assistant and argues that shared AI workers could reshape software, competition and control of organizational knowledge.Anthropic엔터프라이즈 AI컨텍스트 엔지니어링+2
슬라이드 7장1:22:52EN
Matthew Berman· 2026년 5월 7일Richmond Alake on Agent Memory, Context Engineering and the Cost of RecallMatthew Berman, Richmond Alake · Forward FutureIn a livestream with Matthew Berman, Oracle’s Richmond Alake explains how agents store, retrieve and consolidate information, and where memory design trades off with caching and latency.에이전트 엔지니어링컨텍스트 엔지니어링검색 증강 생성(RAG)+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
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
슬라이드 2장0:53EN
Matthew Berman· 2026년 2월 6일Claude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.Foundation Models코딩 에이전트평가(Evals)+1
슬라이드 8장14:20EN
Matthew Berman· 2026년 2월 5일Claude Opus 4.6: Longer Context, Agent Teams and Early BenchmarksMatthew Berman · Forward FutureMatthew Berman reviews Anthropic's February 2026 model launch, its agent features, long-context results and historical pricing.Anthropic코딩 에이전트Agent orchestration+2
슬라이드 5장17:44EN
Matthew Berman· 2026년 1월 17일Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.컨텍스트 엔지니어링Inference평가(Evals)+2
슬라이드 3장8:42EN
Matthew Berman· 2025년 10월 22일DeepSeek-OCR and the Idea of Visual Context CompressionMatthew Berman · Forward FutureMatthew Berman examines a 2025 OCR model and the possibility of representing document text with fewer vision tokens.Document understanding & OCRMultimodal AI컨텍스트 엔지니어링+1
슬라이드 2장11:38EN
Matthew Berman· 2025년 8월 13일AI News in August 2025: App Store Dispute, Claude’s Long Context and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews the Musk–Altman exchange, Claude Sonnet 4’s million-token beta, Skywork’s interactive world model and other AI announcements.AI Strategy컨텍스트 엔지니어링World models+2
슬라이드 4장21:16EN
Matthew Berman· 2025년 4월 14일GPT-4.1, Mini and Nano: Coding, Long Context and 2025 API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 model launch, selected coding benchmarks and demonstrations, and a sponsored Box evaluation.OpenAI코딩 에이전트컨텍스트 엔지니어링+2
슬라이드 4장18:23EN
Matthew Berman· 2025년 4월 7일Llama 4 Reactions: Benchmarks, Long Context and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews early industry reactions to Meta's Llama 4 release, from benchmark and price comparisons to long-context claims and local inference.Open-weight modelsBenchmarks컨텍스트 엔지니어링+2
슬라이드 2장23:52EN
Matthew Berman· 2024년 9월 4일AI News in September 2024: Compute Clusters, Agents and AI PaymentsMatthew Berman · Forward FutureMatthew Berman reviews early reports on future models, a Minecraft simulation, mixed-reality devices and agent transactions.Multi-agent systems인프라와 배포Agentic commerce+2
27:37EN
Matthew Berman· 2024년 6월 17일Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.컨텍스트 엔지니어링모델과 학습Inference+2
0:59EN
Matthew Berman· 2024년 4월 10일Anthropic’s Many-Shot Jailbreaking ResearchMatthew Berman · Forward FutureMatthew Berman explains a 2024 study on how long sequences of examples can make some language models more likely to bypass safety safeguards.Agent red teamingAI Safety컨텍스트 엔지니어링
슬라이드 3장18:47EN
Matthew Berman· 2024년 4월 7일What Anthropic’s Many-Shot Jailbreaking Research FoundMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study of long-context safety failures and the limits of its tested mitigations.AI SafetyAgent red teaming컨텍스트 엔지니어링+1
슬라이드 10장30:39EN
Matthew Berman· 2024년 2월 25일NVIDIA’s GEAR Research, Gemini 1.5 and Fast AI InferenceMatthew Berman · Forward FutureMatthew Berman reviews embodied-agent research and a February 2024 set of AI releases and demonstrations.RoboticsAI researchBenchmarks+2
슬라이드 4장32:14EN
Matthew Berman· 2023년 10월 20일MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memory컨텍스트 엔지니어링검색 증강 생성(RAG)+2
슬라이드 3장7:05EN
Matthew Berman· 2023년 7월 2일Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.코딩 에이전트개발 워크플로와 테스트Software engineering+1
슬라이드 2장5:11EN
Matthew Berman· 2023년 4월 25일AI Memory in 2023: Long Context, Retrieval and Recurrent MemoryMatthew Berman · Forward FutureMatthew Berman compares external agent memories with a recurrent-memory research experiment, and explains why longer context remains a limited result.Agent memory컨텍스트 엔지니어링Transformers & attention+1