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2:59:44ENTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Anime : Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.
20:29ENHow Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.
1:13:33ENA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissAnime : Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.
20:12ENAI, Jobs and the Gap Between Automation Hype and Business ValueMatthew Berman · Forward FutureMatthew Berman argues that adoption is slower and more complicated than feared, while discussing layoffs, AI costs and the work humans still do.
1:06ENRunning AI Agents in the Cloud Instead of on a LaptopMatthew Berman · Forward FutureMatthew Berman argues that cloud-hosted agents can keep working when a laptop sleeps or loses connectivity. The video is sponsored by DigitalOcean.
40:22ENBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.
38:50ENCan AI Help Less Experienced Engineers Grow?TheoTheo discusses coding assistants, team coordination and the difference between learning with AI and blindly relaying its output.
0:53ENA Coding Benchmark Comparison Raises Questions About SWE-benchMatthew Berman · Forward FutureMatthew Berman contrasts a SWE-bench Pro chart with DeepSWE results and questions whether the first matches users' experience.
56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardAnime : Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.
1:14:12ENBrendan Foody on Mercor, AI Data and the Future of WorkInvité : Brendan Foody · Anime : Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
2:33:35ENA security researcher audits the AI stack that booked a week of guestsAnime : Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
32:30ENTheo Reviews DeepSWE and the Limits of Coding BenchmarksTheoAn investor in DataCurve examines its coding benchmark, the results shown in the video and their limitations.
56:55ENNico Laqua on Corgi’s Work Culture, Fundraising and AIInvité : Nico Laqua · Anime : Harry StebbingsCorgi’s co-founder describes a seven-day work culture, the company’s cafe and equity practices, and his approach to investors and AI.
28:02ENTheo Tests Claude Opus 4.8 and Claude Code WorkflowsTheoA hands-on look at model behavior, early benchmarks, usage estimates and parallel agent workflows.
2:22ENPioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.
21:56ENMatthew Berman on Pope Leo XIV’s AI Encyclical and Anthropic’s RoleMatthew Berman, Chris Olah · Forward FutureA close reading of Magnifica humanitas raises questions about human dignity, AI companionship, concentrated power and who should govern AI.
2:53:42ENThe Moon Is Falling. It Just Keeps Missing.Invité : Biggest Mysteries in Physics · Anime : Lex FridmanFermilab physicist Don Lincoln tells Lex Fridman that the history of physics is a history of unification, and that antimatter, dark energy, and a theory of everything still sit far beyond the experiments we can run.
27:55ENTheo on Anthropic’s Reported Profit Forecast and AI Revenue GrowthTheoA discussion of annualized revenue, cloud distribution, usage-based pricing and the limits of a reported quarterly forecast.
1:27:44ENAI Spending, Layoffs and IPO Speculation: Jason Lemkin and Rory O’Driscoll on the Economics of AgentsInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsA 20VC roundtable examines how businesses weigh AI tokens against human work, and how investors assess infrastructure startups amid uncertain valuations and reported IPO plans.
41:09ENAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big OnesAnime : Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
2:34:17ENMatthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.
47:33ENHow Theo’s AI Coding Workflow ChangedTheoA walkthrough of remote agents, project context, short prompts, verification and pull-request decisions.
2:18:33ZH戴雨森:复盘 AI 投资判断,重新理解 Harness 与创业机会Invité : 戴雨森 · Anime : 张小珺真格基金管理合伙人与张小珺讨论模型、智能体产品、组织变化和主动修正观点。
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