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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 6장16:02EN
Matthew Berman· 2025년 4월 1일Runway Gen-4 Examples: Cinematic Motion, Style and Visible ErrorsMatthew Berman · Forward FutureMatthew Berman reviews early generated clips, praising their visual detail while identifying awkward interactions and inconsistent physics.비전과 영상Generative media
슬라이드 5장26:05EN
Matthew Berman· 2025년 3월 31일Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI research모델과 학습AI Safety+1
슬라이드 6장17:03EN
Matthew Berman· 2025년 3월 28일Matthew Berman Explores GPT-4o Image Generation and Its LimitsMatthew Berman · Forward FutureFrom animated trailer remakes to infographics and interface mockups, early examples show creative possibilities alongside persistent errors.Generative media비전과 영상Creativity+2
슬라이드 6장18:31EN
Matthew Berman· 2025년 3월 26일Gemini 2.5 Pro Experimental: Coding Demos and Launch BenchmarksMatthew Berman · Forward FutureIn March 2025, Matthew Berman tests Google’s experimental model on interactive simulations and reviews its launch benchmarks, including their limits.Gemini코딩 에이전트Benchmarks+2
슬라이드 5장24:14EN
Matthew Berman· 2025년 3월 26일GPT-4o Image Generation: Launch Demos, Editing, and LimitationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman reviews OpenAI's March 2025 image-generation launch, testing text rendering, image editing, and visual consistency.Generative mediaMultimodal AIOpenAI+1
슬라이드 3장27:32EN
Matthew Berman· 2025년 3월 12일OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.에이전트 엔지니어링에이전트MCP와 도구+1
슬라이드 3장21:48EN
Matthew Berman· 2025년 3월 5일Vibe Coding With Cursor and Windsurf: Berman’s 2025 WorkflowMatthew Berman · Forward FutureMatthew Berman shares project rules, testing habits and version-control practices from early experiments with coding agents.코딩 에이전트개발 워크플로와 테스트Human-AI Collaboration+2
슬라이드 5장19:32EN
Matthew Berman· 2025년 2월 28일GPT-4.5’s Launch: Conversational Style, Benchmarks and CostMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s February 2025 research preview, its selected demonstrations, reported evaluations and high launch pricing.모델과 학습BenchmarksAI cost & performance+1
슬라이드 2장17:20EN
Matthew Berman· 2025년 2월 23일Vibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.Vibe Coding코딩 에이전트Reinforcement Learning+1
슬라이드 6장18:05EN
Matthew Berman· 2025년 2월 16일OpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.Reasoning & test-time computeReinforcement LearningBenchmarks+2
슬라이드 5장15:33EN
Matthew Berman· 2025년 2월 13일Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time compute모델과 학습AI research+2
슬라이드 3장21:10EN
Matthew Berman· 2025년 2월 11일Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.코딩 에이전트Scaling LawsReinforcement Learning+2
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
슬라이드16:45EN
Matthew Berman· 2025년 1월 27일DeepSeek-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
슬라이드 4장15:10EN
Matthew Berman· 2025년 1월 22일DeepSeek 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 compute평가(Evals)Open-weight models+2
슬라이드 3장16:25EN
Matthew Berman· 2025년 1월 18일Why 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 research모델과 학습AI cost & performance+1
슬라이드15:06EN
Matthew Berman· 2025년 1월 13일Jensen 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
슬라이드 3장27:42EN
Matthew Berman· 2025년 1월 8일Matthew Berman on Capital, Human Ambition, and a Possible Post-AGI EconomyMatthew Berman · Forward FutureA speculative essay asks whether advanced AI could make wealth more powerful while reducing the leverage people gain from work. Berman explores its implications for mobility, institutions, and meaning.AGI(범용 인공지능)AI StrategyFuture of Work
슬라이드 4장15:34EN
Matthew Berman· 2025년 1월 6일Sam Altman on AGI and Superintelligence: A 2025 DiscussionMatthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman examines Altman’s statements about AGI, the singularity and possible AI-driven scientific progress.AGI(범용 인공지능)AI SafetyAI research+1
슬라이드 5장19:06EN
Matthew Berman· 2024년 12월 28일Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.에이전트 엔지니어링에이전트평가(Evals)+1
슬라이드 6장21:02EN
Matthew Berman· 2024년 12월 24일Reactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.BenchmarksReasoning & test-time computeAGI(범용 인공지능)+2
슬라이드 6장26:23EN
Matthew Berman· 2024년 12월 20일OpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.OpenAIBenchmarksReasoning & test-time compute+2
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