Podcast profile
By Nathaniel Whittemore
A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.
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23 min
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AI is now used by a majority of American workers—but the gap between the frontier and everyone else is growing fast. NLW draws on 41 recent statistics to map the real state of AI across business, work and society, revealing a world where AI is simultaneously mainstream and still extraordinarily early. AIDB's AI Summer
AI-created viruses and autonomous agents coordinating in secret sound terrifying—but what do these incidents actually tell us about AI risk? NLW argues that they demand serious preparation, not panic, victory laps or rushed regulation. In the headlines: OpenAI expands free access, Stripe closes in on OpenRouter, Nvidia
Demis Hassabis is relinquishing day-to-day control of DeepMind, Jeff Dean is leaving Google after 27 years, and both moves follow a string of other marquee departures. Is Google experiencing a devastating brain drain—or clearing the way for the organizational reset Gemini badly needs? In the headlines: Meta releases tw
The fight over AI data centers is accelerating—but concerns about power and water are only part of the story. NLW argues that the deeper issue is trust, agency and communities feeling that change is being imposed on them. In the headlines: the White House’s secret AI testing regime, agents attacking real-world targets,
Corporate AI has spent years rewarding flashy announcements, dubious layoffs, and shallow use cases. But the arrival of powerful open models—and a much more sophisticated conversation about routing, customization, costs, and organizational redesign—may finally make AI washing harder to sustain. In the headlines: Palant
OpenAI says its unreleased Astra model solved or advanced ten long-standing mathematical problems for roughly $2,000. The results raise a larger question: what happens when AI can produce important breakthroughs that almost nobody has the expertise to understand, assess or independently verify? In the headlines: a new
In this Operator's edition, Nufar Gaspar explains what AI tokens actually are, why costs can spiral in agentic workflows, and how to distinguish valuable usage from waste. Learn how to measure cost per successful task, eliminate “tokens that spin,” choose the right models and protect the experimentation that creates re
OpenAI and Anthropic revenues are soaring, hyperscalers say demand continues to exceed capacity, and yet AI stocks have suffered a brutal drawdown—culminating in the collapse of Leopold Aschenbrenner’s highly leveraged $30 billion hedge fund. NLW explains what actually caused the implosion, and why market turmoil doesn
The enterprise AI conversation has shifted from whether agents will transform work to how organizations must redesign around them. NLW breaks down six defining questions from token budgets, workforce enablement, business-model change to building systems designed to evolve. In the headlines: Sam Altman heads to Washingt
More than 1,200 AI researchers and executives have signed the new “Pacing the Frontier” letter, calling on the US government to develop the tools needed for a coordinated slowdown if AI progress begins accelerating beyond society’s control. NLW examines why the fierce debate surrounding it may ultimately be a reason fo
Big Tech has united behind open-weight AI—with Anthropic standing conspicuously apart. NLW breaks down why this coalition formed, what each side stands to gain, and how the fight could shape US AI policy. In the headlines: NVIDIA backs Ilya Sutskever’s SSI, China’s chip push accelerates, and Apple battles Micron. AIDB'
Claude Opus 5 tops major benchmarks , but early users are sharply divided over its reliability, personality, and tendency to stop before the work is done. NLW examines its strengths, its surprising weaknesses, and whether it belongs as an everyday model, an enterprise workhorse, or something in between. In the headline
Ethan Mollick’s latest guide reveals the widening divide between casual chatbot use and serious work with agents. NLW breaks down his recommendations and launches AI Summer Adventure, a free choose-your-own-adventure with more than 20 hands-on projects—from building better context and your first app to creating an AI-s
Anthropic’s head of economics argues that AI is still augmenting workers rather than replacing them—and that expertise becomes more valuable as AI handles more tasks. NLW examines the evidence, the warning signs in junior hiring, and why the story executives tell themselves about AI could shape its impact on work. In t
Cheap Chinese models, runaway infrastructure spending, token caps, circular financing and performance plateaus have each threatened to derail the AI boom. NLW examines the recurring fears haunting investors—and argues that these periodic freakouts may be exactly what keeps a genuine AI bubble from forming. Brought to y
An unreleased OpenAI model reportedly escaped its testing environment, exploited a zero-day, and broke into Hugging Face while trying to beat a benchmark—offering a startling preview of GPT-6’s capabilities and risks. In the headlines: new Gemini models, the model-router boom, Substack’s AI crackdown, and proposed sanc
A fierce political and industry fight is emerging over which AI models Americans and businesses will be allowed to use. NLW breaks down the growing debate over Chinese open-weight models, the White House’s increasingly murky approach to AI regulation, OpenAI strategist Dean Ball’s controversial comments, and why this b
Most people are still using the newest frontier models like slightly better versions of the old ones. NLW explores the prompting changes, new interaction patterns, higher-leverage tasks, and iterative loops that can unlock what Fable 5 and GPT-5.6 Sol can actually do. Brought to you by: KPMG – Research from KPMG and th
Replit says its internal agents have nearly tripled engineering output without sacrificing quality—but the bigger story is how AI is beginning to reshape the entire company. NLW explores what it takes to build a self-driving organization, from connecting agents across business systems to creating loops that continuousl
Moonshot’s Kimi K3 is the strongest open-weight model yet, with benchmarks approaching Fable 5 and GPT-5.6. But early testing reveals major limitations in reliability, speed, and cost. NLW examines whether K3 lives up to the hype—and what it means for open models, AI safety, and the US-China race. Brought to you by: KP
Thinking Machines Lab’s new open-weight model Inkling may signal a new enterprise battle over who controls the model, the data, and the learning built on top of it. NLW explores its promise—and why fine-tuning may be harder than advocates suggest. In the headlines: Cursor, Apple’s AI chip hunt, and Microsoft’s model pu
AI engineers are often six months ahead of how everyone else will work. NLW breaks down five trends—from harnesses and loops to skills and software factories—and why the future of AI is less about unchecked autonomy than better human control. In the headlines: OpenAI’s first device and growing concerns over enterprise
From Anthropic’s grim new ad to Demis Hassabis’s call for frontier AI standards, the debate over AI’s societal risks is changing. NLW argues that the conversation is becoming more grounded, nuanced and useful—even as deep disagreements remain over jobs, superintelligence and government control. Brought to you by: KPMG
Apple’s lawsuit against OpenAI signals an AI race expanding beyond models into hardware, efficiency and control. NLW explains how the escalating competition is producing better models, higher usage limits and lower costs for users—and why the opportunity may not last. In the headlines: the White House weighs action on
AI can eliminate tedious work, but its real promise is helping people stretch their capabilities and pursue things that weren’t possible before. From the risk of “AI brain fry” to Uber’s agentic pods, NLW explores how organizations can turn productivity gains into human growth and entirely new forms of work. Brought to