New to this library, not necessarily new to the world.
Yuval Noah Harari and Robert Guest discuss AI's effects on democratic institutions, surveillance, intimate persuasion, jobs, and national sovereignty. Harari proposes restrictions on AI legal personhood and impersonation, human accountability, and cooperation among smaller countries. Political analysis and speculative scenarios, not demonstrated predictions or validated safeguards.
Forum 2000 · Source dated 16 Oct 2026
Jon Gray argues that returns from AI adoption will sustain demand for chips, power, and data centers. He cites Blackstone portfolio-company examples, distinguishes today's contracted demand from historical infrastructure overbuilding, and discusses disruption and investment risks. A capital allocator's investment thesis with first-party performance claims and forecasts, not independent proof that aggregate AI capital expenditure will pay off.
Blackstone · Source dated 20 Sept 2026
Salvatore Sanfilippo contrasts his positive early impressions of Gemini 4 Argon's document understanding and concise writing with skepticism about Muse Wonder's benchmark claims. Italian-language opinion commentary, not a controlled model comparison. The summary separates his assessments from Google's documented shared token budget and introductory pricing.
Salvatore Sanfilippo · Source dated 14 Oct 2026
Logan Kilpatrick and Google's product and research team discuss Argon's writing feedback, agents assisting model development, engineering use cases, long-decode reasoning, and balancing persistence with clarification. They recommend scrutinizing and iterating on outputs. A first-party launch conversation with internal anecdotes, not independent evidence of reliability or autonomous self-improvement.
Google for Developers · Source dated 14 Oct 2026
Tibo Sottiaux discusses OpenAI's direction for persistent assistants, changing multi-agent workflows, plugin discovery and revenue sharing, and agents that connect to multiple devices. His production-alert anecdote distinguishes useful awareness from authority to repair systems, while his monitoring discussion describes a safety approach rather than proven guarantees. A first-party product and engineering interview with forecasts about agent-driven internet traffic.
Lenny's Podcast · Source dated 4 Oct 2026
Bill Gates and Ezra Klein discuss AI-enabled cyber and biological threats, job displacement, government oversight, and whether AI will reduce or deepen inequality. Gates's risk assessments and policy proposals are attributed views, not established forecasts or demonstrated safety guarantees.
The Ezra Klein Show · Source dated 29 Sept 2026
Simon Willison surveys 2026 through coding agents, personal agents, local models, software factories, and reported training-time security incidents. He argues that stronger agents shift engineering effort toward goals, constraints, verification, and product judgment. His demonstrations and capability assessments are personal observations; incident accounts are attributed reports, not independently verified here.
WeAreDevelopers · Source dated 21 Sept 2026
Benedict Evans argues that AI makes tools easier to build without resolving which problems to solve, how shared workflows should change, or who takes responsibility for them. He explains the movement between improvised spreadsheets and institutionalized software, then separates deployment choices from operational change and competitive strategy. An analytical essay using examples and historical analogies, not a measured study of enterprise AI outcomes.
Benedict Evans · Source dated 3 Sept 2026
Peter Thiel and Mathias Döpfner discuss whether AI can restart broad growth, the risks of stagnation and global slowdown proposals, and Europe's ability to build and scale technology companies. Thiel's political judgments, analogies, and forecasts are attributed arguments, not established causal findings; his Palantir adoption example is a first-party account.
MDMEETS - Essential Talks with Mathias Döpfner · Source dated 24 Sept 2026
Dario Amodei explores a favorable future with powerful AI: which work could accelerate, and where experiments, missing evidence, institutions, adoption, or physical limits would still constrain progress. Its sector outcomes and timelines are speculative first-party forecasts conditional on the assumed arrival of powerful AI.
Dario Amodei · Source dated 11 Oct 2024
Dario Amodei separates risks from autonomous model behavior, destructive misuse, deliberate power concentration, economic disruption, and indirect effects, then proposes technical and policy responses. Anthropic's CEO assumes powerful AI and offers his own risk framework and policy proposals, not a complete list of risks or a consensus view.
Dario Amodei · Source dated 26 Jan 2026
Dario Amodei and John Collison discuss why coding tools are adopted faster than other AI applications, how overlapping model generations affect company economics, and why agent products need manageable review interfaces. The profitability example is hypothetical, not audited company results. Customer outcomes are first-party claims, timelines are forecasts, and the product strategy is Amodei's advocacy.
Cheeky Pint · Source dated 6 Aug 2025
Lex Fridman interviews Anthropic's Dario Amodei on scaling, computer use, and safety; Amanda Askell on prompting and constitutional AI; and Chris Olah on how neural networks compute. The episode combines technical explanations with Anthropic leaders' first-party accounts and dated forecasts; it is not an independent evaluation of Claude's capabilities or safety.
Lex Fridman · Source dated 11 Nov 2024
Tobi Lütke, Richard Sutton, Sendhil Mullainathan, and fellow panelists examine Shopify's SimGym shopper agents, which navigate stores through a vision-model browser loop. They distinguish interface operation, predictive validity, real commercial outcomes, and benchmarks for people working with AI. Product accuracy and benefits are participant accounts, not independent evaluations.
Intrepid Growth Partners · Source dated 18 Dec 2025
A combined episode guide to Salvatore Sanfilippo and Enkk's Italian-language conversations across both channels: coding-model workflows, local inference, AI safety, interpretability, text watermarking, AGI labels, and evaluation through useful work. The guide records summary coverage because the hosts' separate YouTube playlists are incomplete. Opinions, proposals, and project anecdotes are not controlled evaluation results.
Salvatore Sanfilippo & Enkk
Source dated 11 Jul 2026
Source dated 23 Jul 2026
Source dated 2 Aug 2026
Source dated 24 Aug 2026
Salvatore Sanfilippo distinguishes acknowledging AI risk from predicting imminent extinction. He discusses cyber and biological misuse, recursive self-improvement, and international coordination, then proposes limits on model parameter counts rather than a complete research stop. Italian-language opinion commentary; his risk assessments and proposed safeguards are not validated safety findings.
Salvatore Sanfilippo · Source dated 13 Sept 2026
Demis Hassabis and Hannah Fry discuss AI-assisted creative prototyping, why human experience may still matter in art, and who shapes the benefits of more autonomous AI. Hassabis proposes personalized tutoring alongside collaborative classrooms and argues for valuing health and inspiration in architecture. His optimistic forecasts and first-party accounts are presented as views, not independently established outcomes.
Royal Society of Arts · Source dated 11 Sept 2026