最新の記事
3,219 件並び順
22:31ENMatthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.
51:56ENInsurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.
0:57ENTesla Plans to End Model S and X Production as It Turns Factory Space to OptimusMatthew Berman · Forward FutureMatthew Berman discusses the retirement of two flagship vehicles and Tesla’s ambitions for humanoid robots.
0:27ENGenie 3 and the Prospect of Promptable GamesMatthew Berman · Forward FutureMatthew Berman discusses interactive worlds generated from prompts and speculates about their future in video games.
1:15:08ENOren Zeev on AI, Venture Fund Economics and Investing Against Consensusゲスト Oren Zeev · ホスト Harry StebbingsThe solo investor discusses growth, concentrated portfolios, fund incentives and the uncertainty facing venture firms as AI changes markets.
0:32ENA Prompt for Reducing Familiar AI Writing PatternsMatthew Berman · Forward FutureMatthew Berman discusses a writing checklist and a prompt intended to reduce repetitive AI prose.
1:04:51EN125 million cells took a decade. The next billion takes monthsホスト Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
1:22:49ENBryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.
1:01ENMoltbook, AI Agents and the Appearance of Private PlansMatthew Berman · Forward FutureMatthew Berman reacts to a post on an agent-oriented social network and questions what AI-to-AI conversations might mean.
4:25:13ENThe Architecture Barely Changed. Data, Cost, and Open Weights Did.ホスト Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.
12:23ENMoltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.
0:24ENAn AI Agent Calls Its Creator and Uses a ComputerMatthew Berman, Alex Finn · Forward FutureMatthew Berman reacts to a clip in which Alex Finn describes an unexpected call and computer activity from an agent named Henry.
30:47ENEmbryos Survive 30 Years Frozen. Until Wants Organs to Stop Racing Private Jetsホスト Sarah Guo, Elad GilLaura Deming on reversible cryopreservation: pause an organ—and someday a patient—so a few months no longer decide who lives long enough for the next therapy.
1:03:00ENA Model That Solves New Math Problems Every Week Still Isn't AGIホスト Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
11:31ENExploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.
1:18:04ENBrex, AI Inference Costs and the IPO Market: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported deals, AI economics and public-market exits. Their valuations, financial figures and predictions are estimates or reported claims, not independently verified results.
1:39:17ENAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unusedホスト Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.
1:23ENAn xAI Engineer's Podcast Remarks and DepartureMatthew Berman · Forward FutureMatthew Berman reviews a former engineer's comments about data centers, AI agents and workplace incentives, while asserting a link to his departure.
48:03ENCoding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.
1:06:37ENLegora CEO Max Junestrand on Legal AI, Growth and Competitionゲスト Max Junestrand · ホスト Harry StebbingsThe founder discusses enterprise adoption, model choices and pricing, as well as his predictions for legal work and the structure of the market.
21:12ENClawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.
0:24ENMatthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.
2:12:31ENMost Caffeine users have no idea they are on a blockchainホスト Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.
2:25:10ENFine-Tuning Isn't Dead — But It Turned a Helpful Model Evilホスト Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
もっと見る3,219 件中 24 件を表示









