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슬라이드 7장15:29EN
Matthew Berman· 2025년 9월 24일Building a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.에이전트 엔지니어링Multi-agent systemsAgent orchestration+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 24일팟캐스트$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math진행자 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.기업과 전략AI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 20일팟캐스트Adam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14진행자 Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.보안과 안전AI security안전과 거버넌스+3
슬라이드 5장14:47EN
Matthew Berman· 2025년 9월 18일AI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.AI researchAI agentsBenchmarks+2
슬라이드 7장16:29EN
Matthew Berman· 2025년 9월 17일What Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.AI AdoptionFuture of WorkAnthropic+2
42:20EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 17일팟캐스트A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.멀티모달과 미디어Multimodal AIGenerative media+3
슬라이드 4장8:47EN
Matthew Berman· 2025년 9월 16일Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.InferenceAI research관측 가능성과 안정성+1
슬라이드 4장18:05EN
Matthew Berman· 2025년 9월 15일AI News: Qwen3-Max, OpenAI’s Restructuring and New Research ModelsMatthew Berman · Forward FutureMatthew Berman surveys September 2025 releases and reports, from silent speech and image generation to infrastructure and AI business deals.Foundation ModelsAI StrategyGenerative media+2
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 13일팟캐스트A transformer co-author wants a $160 million model no company owns진행자 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.인프라와 배포InferenceAI security+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 11일팟캐스트Joe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'진행자 Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.기업과 전략안전과 거버넌스Human-AI Collaboration+3
59:06EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 10일팟캐스트Inference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold진행자 Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.인프라와 배포InferenceAI cost & performance+3
슬라이드 13장52:11EN
3Blue1Brown· 2025년 9월 7일Paul Dancstep: Sol LeWitt’s Incomplete Cubes and the Art of Counting SymmetryPaul DancstepA conceptual artwork leads through exploratory mathematics to Burnside’s lemma and a way to count shapes without sorting them.MathematicsCreativityScience Communication
슬라이드 2장1:12EN
3Blue1Brown· 2025년 9월 7일How Many Different Incomplete Cubes Are There?A counting puzzle about cube edges connects rotational symmetry, group theory and an artwork by Sol LeWitt.Mathematics
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 6일팟캐스트Nothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelines진행자 Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.보안과 안전AGI Timelines안전과 거버넌스+3
슬라이드 7장15:26EN
Matthew Berman· 2025년 9월 4일September 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.AI researchAI in healthcareFoundation Models+2
1:51:39EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 3일팟캐스트A native ad engine for AI—and the questions it cannot dodge진행자 Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.기업과 전략AI in sales & marketingProduct Strategy+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 30일팟캐스트A hundred experiments a day, and the valley of death in materials진행자 Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.에이전트AI for scienceAutonomous Systems+3
슬라이드 10장41:03EN
3Blue1Brown· 2025년 8월 28일Vilas Winstein: Simulating Phase Changes with the Boltzmann DistributionVilas WinsteinA simple lattice model connects temperature, entropy and energy to liquid–vapor transitions, critical points and magnetism.PhysicsMathematics
슬라이드 6장9:45EN
Matthew Berman· 2025년 8월 28일Matthew Berman Reviews the First Reactions to Gemini's Nano Banana Image ModelMatthew Berman · Forward FutureEarly creators combine Google's image editor with 3D and video tools, while exposing errors, limitations, and safety questions in the results.GeminiGenerative media비전과 영상+1
슬라이드 4장17:51EN
Matthew Berman· 2025년 8월 28일AI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.AI agentsOpen-weight modelsGenerative media+2
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 27일팟캐스트SAEs Find the Nouns. Parameter Decomposition Looks for the Verbs진행자 Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.모델과 학습Model InterpretabilityAI research+3
슬라이드 4장18:31EN
Matthew Berman· 2025년 8월 27일Testing Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.Generative mediaGeminiMultimodal AI
2:04:27EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 23일팟캐스트A 10% Chance of an AI-Enabled Coup in the Next 30 Years진행자 Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.보안과 안전안전과 거버넌스Existential Risk+3
슬라이드 4장18:40EN
Matthew Berman· 2025년 8월 21일AI News in August 2025: Model Memory, Image Editing, Coding Agents and RobotsMatthew Berman · Forward FutureMatthew Berman reviews early reports on GPT-6, DeepSeek V3.1, Qwen image editing, developer tools and humanoid demonstrations. Several claims were previews, company statements or unconfirmed reports.AI StrategyAI agentsRobotics+2
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