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45:31EN
Matthew Berman· 2025년 2월 15일Jerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.Quantum MechanicsCybersecurityAI research
슬라이드 4장8:04EN
Matthew Berman· 2025년 2월 14일OpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.Model routing & gatewaysOpenAI제품과 UX+1
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
슬라이드0:59EN
Matthew Berman· 2025년 2월 13일What Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.Vibe Coding코딩 에이전트개발 워크플로와 테스트
슬라이드 3장6:50EN
Matthew Berman· 2025년 2월 12일DeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.Reinforcement LearningBenchmarksLocal inference+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 5장10:01EN
Matthew Berman· 2025년 2월 5일DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.Reinforcement LearningGPU programming & kernelsAI research+2
슬라이드13:04EN
Matthew Berman· 2025년 2월 4일Deep Research, AI Takeoff and the Limits of Early ReactionsMatthew Berman, Sam Altman · Forward FutureMatthew Berman surveys February 2025 reactions to OpenAI’s research agent and argues that reasoning and tools could accelerate AI progress.AI agentsAGI TimelinesBenchmarks+2
슬라이드 5장12:07EN
Matthew Berman· 2025년 2월 2일TinyZero: 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
슬라이드 7장9:58EN
Matthew Berman· 2025년 2월 1일Matthew 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.평가(Evals)코딩 에이전트Reasoning & test-time compute+2
슬라이드 3장6:44EN
Matthew Berman· 2025년 2월 1일Testing 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.비전과 영상Generative mediaMultimodal AI+2
슬라이드 6장24:22EN
Matthew Berman· 2025년 1월 31일Dario 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.모델과 학습AI cost & performanceGeopolitics+2
슬라이드 4장9:58EN
Matthew Berman· 2025년 1월 31일OpenAI 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
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
1:50EN
Matthew Berman· 2025년 1월 30일Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.엔터프라이즈 AI에이전트모델과 학습+1
슬라이드0:52EN
Matthew Berman· 2025년 1월 29일Genie 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
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
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 4장14:55EN
Matthew Berman· 2025년 1월 25일How 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
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 5장37:58EN
Matthew Berman· 2025년 1월 23일OpenAI 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 use에이전트AI Safety+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 2장7:57EN
Matthew Berman· 2025년 1월 22일Stargate’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.인프라와 배포OpenAIAGI(범용 인공지능)+1
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