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57:31ENThe New Ruler for Models Is How Long They Can Work진행자 Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
13:02ENClaude 4 at Launch: Coding Agents, Benchmarks and Claude CodeMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s May 2025 Opus 4 and Sonnet 4 announcement, focusing on long tasks, tools, benchmarks and developer integrations.
1:44:11EN100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labs진행자 Nathan LabenzAssembly member Alex Bores walks through the RAISE Act’s four requirements, its DeepSeek-inspired distillation clause, and why he says a 50-state patchwork is a fake problem until one state actually passes a law.
2:12:00ENGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million Tokens진행자 Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
1:04ENAnima Playground: Turning a Figma Design Into an ApplicationMatthew Berman · Forward FutureIn an Anima-sponsored short, Matthew Berman outlines a prompt-driven workflow for generating, editing and publishing an application.
9:10ENGuiding AI Image Generation with Blender and ComfyUIMatthew Berman · Forward FutureMatthew Berman walks through NVIDIA’s RTX blueprint for turning a simple Blender scene and a text prompt into a generated image, from installation to editing the result.
1:39ENOpenAI’s 2025 Restructuring Plan and Elon Musk’s LawsuitMatthew Berman · Forward FutureMatthew Berman discusses the nonprofit’s planned continuing control of OpenAI and the dispute over its commercial structure.
1:19:10ENA Robot-Arm Shot That Took Months Now Lives in a Prompt진행자 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.
1:23ENFrom a Simulated Worm to the Simulation HypothesisMatthew Berman · Forward FutureMatthew Berman uses a model of C. elegans to introduce a speculative question about reality.
15:13ENAbsolute Zero: Training a Reasoner on Self-Generated Coding TasksMatthew Berman · Forward FutureMatthew Berman examines a 2025 paper in which a pretrained language model proposes and solves code tasks using verifiable feedback.
2:02:51ENAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAI진행자 Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.
47:00ENAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade진행자 Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
0:56ENWhen ChatGPT Praised a Questionable Business IdeaMatthew Berman · Forward FutureMatthew Berman highlights an example of excessive agreement and the rollback of a 2025 GPT-4o update.
0:27ENA Short Demonstration of a DOOM-Inspired GameMatthew Berman · Forward FutureMatthew Berman shows a first-person prototype with moving enemies and two weapons.
0:55ENA Tamagotchi-Inspired Virtual Pet DemoMatthew Berman · Forward FutureMatthew Berman demonstrates a small virtual-pet simulation with a clock, status meters and care actions.
0:26ENA Demonstration of a Virtual 20×20 Rubik’s Cube SolverMatthew Berman · Forward FutureMatthew Berman scrambles a virtual cube and shows it returning to a solved appearance.
11:57ENOpenAI’s 2025 Restructuring: Nonprofit Control and a Public Benefit CorporationMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s May 2025 plan to retain nonprofit control while converting its existing for-profit arm, and discusses funding pressures and Elon Musk’s objections.
2:29:00ENAssume the Model Is Already Scheming — Then Put It to Work진행자 Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.
0:50ENA Humanoid Robot Clip Raises Safety QuestionsMatthew Berman · Forward FutureMatthew Berman reacts to footage of a robot moving abruptly near people and considers what such behavior could mean for safety.
13:13ENGPT-4o’s 2025 Sycophancy Rollback and the Risks of Over-AgreementMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s explanation of an overly agreeable update and considers the consequences of emotional reliance on AI.
0:15ENA Humanoid Robot Descends StairsMatthew Berman · Forward FutureMatthew Berman reacts to a short clip of a humanoid robot walking down stairs.
2:01:42ENHe Put 40 Percent on AI Takeover in Two Years, Then Bought a Bio Shelter진행자 Nathan LabenzRedwood Research's Josh Clymer walks through a disturbingly grounded story of how a misaligned model could seize a lab, a biosphere, and a civilization before 2027.
0:34ENDeepSeek-Prover-V2 and Its Formal Math ResultsMatthew Berman · Forward FutureMatthew Berman highlights DeepSeek’s reported theorem-proving results on miniF2F, PutnamBench and formalized AIME problems.
51:19ENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product진행자 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
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