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Artwork for The AI Daily Brief: Artificial Intelligence News and Analysis

The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore
Anthropic
Openai
Artificial Intelligence
Fable 5
Data Centers
Google
Mythos
Codex
Gemini 4 Argon
Claude
Microsoft
Spawn
Personal AI Agents
Token Efficiency
Anthropic IPO
Grokbot
AI Safety
AI Token Tax
Artificial Analysis Intelligence Index V5
Graph Engineering

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.

PublishesDailyEpisodes1137Founded4 years ago
Number of ListenersCategory
Technology

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Artwork for The AI Daily Brief: Artificial Intelligence News and Analysis

Latest Episodes

Anthropic is heading into its IPO with surging revenue, massive compute commitments, and a new productivity suite taking aim at Microsoft. NLW breaks down the competing bull and bear cases, why the valuation headlines are misleading, and what the off... more

Anthropic’s Fable 5.2 is breaking benchmarks and powering ambitious demos, so why isn’t it an obvious upgrade for everyday work? NLW examines early reviews and his own experiments to explore where the model outperforms Opus 5.5, where it still falls ... more

YouTube

Jensen Huang’s admission of an affair with a suspected Chinese spy raises questions that reach far beyond his personal life. NLW examines the reported intelligence concerns, Nvidia’s investigation, and the potential consequences for AI chip exports, ... more

YouTube

AI agents are making it possible to edit, animate, and produce videos simply by describing what you want. NLW explores what changed and how to put it to work—from meeting highlights and concept demos to animated business updates and customer educatio... more

YouTube

Key Facts

Accepts Sponsors
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Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

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People also subscribe to these shows.

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Recent Guests

Nufar Gaspar
AI practitioner who trains managers and advises teams on using AI well
Episode: How to Deslopify Your AI
Jacob Sandbury
Founder of Spawn, a gaming startup built around AI agents
Spawn
Episode: How the Most AI-Pilled Company in the World Works
Alex Lieberman
Founder of 10xLabs; former founder at Morning Brew
Episode: How to Build an AI-Native Company Today
Tina Hough
Investor and writer exploring AI infrastructure and product strategy
Harbor? (in episode referenced as investor/writer)
Episode: The Real Future of AI and Work
Noah Breyer
Co-founder of Alephic, contributor author in the thesis series
Alephic
Episode: The Real Future of AI and Work
Sumit Singh
Former Andreessen Horowitz partner; founder of WorldBuild
WorldBuild
Episode: The Real Future of AI and Work
Nir Zikerman
CEO of Oboe
Oboe
Episode: The Real Future of AI and Work
Joe Hudson
Founder of The Art of Accomplishment
The Art of Accomplishment
Episode: The Real Future of AI and Work
Bethany Crystal
Founder of Build First
Build First
Episode: The Real Future of AI and Work

Reviews

4.4 out of 5 stars from 4.3k ratings
  • New Ai text to speech is awful

    I was a regular listener but a while back he stopped reading these and switched to ai text to speech. It's awful and not anything I want to listen to. If he switches back to actually doing the podcasts for real then I will come back.

    Apple Podcasts
    1
    FrankTheTank5154
    United States19 days ago
  • You need Optimists and Pessimist (Gary Marcus etc) to balance ⚖️ out the views.

    Switch up the medium, consumption and who you listen, watch and read.

    For breath of scope, this fits the news update cycles.

    Podcast Addict
    4
    PoetPods
    21 days ago
  • Ads in paid subscription

    Please be more careful to not have ads. It still happened in some recent episodes.

    Apple Podcasts
    4
    Tingwan
    United States23 days ago
  • Awesome Info

    I listen to this podcast every day and it has been so great for somebody who is not in the tech world to have some daily short insight into what’s happening in AI. I very much appreciate it and love listening to it.

    Apple Podcasts
    5
    soloselecthorses
    United Statesa month ago
  • Monotone delivery

    This podcast may have good information, but the podcast has such a boring monotone voice, and it’s obvious that he’s reading the script just about as fast as he can fix that you might have a podcast

    Apple Podcasts
    1
    Golfingal72
    United Statesa month ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Several listeners praise the show for staying current and practical, especially around AI governance and enterprise use cases.
Some fans note ads and pacing as areas for improvement, particularly in subscription editions.
A common theme is trust in the host's framing of industry dynamics and policy questions.
The show is often described as essential daily listening for staying on top of AI developments.
Listeners appreciate data-driven, concise episodes that balance news with actionable guidance.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

How to Deslopify Your AI
Q: Anything to add on that, because you were very opinionated back then?
Nathaniel says companies can establish clear rules for AI writing, such as Figma's approach of labeling AI-written material so readers have context. He argues that transparency and respecting the audience's time address the burden AI slop places on readers.
How to Deslopify Your AI
Q: How do you decide what to keep in your hands and what to delegate?
Nathaniel says the division depends on the stakes and type of work. For How We Got Here, he uses AI for research and supporting facts but keeps the point of view and narrative structure under his control, then edits AI-assisted companion essays extensively.
A System for Testing New AI Models
Q: How frequently do you imagine updating these criteria and what might change over time?
Updates depend on how quickly the frontier moves and how much speed and quality matter to your use cases; people with high ADD tendencies may want monthly updates, while others may update less often based on bandwidth and need.
How to Build Team Agents
Q: How should teams balance investing in building team-level solutions now versus waiting for core tools like Grokbot or Copilot to provide native capabilities?
The heavy lifting is in configuration and knowledge curation, and teams should pick the tool adjacent to their ecosystem to establish shared ground truth now, so they're ready when better tools arrive.
How to Build Team Agents
Q: Do you see, are any of the four archetypes more common starting places for teams you've observed?
In practice, expert agents that codify internal knowledge and help reduce bottlenecks are often the first to be widely adopted, while more complex team-intermediary models are harder to implement.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Gender Skew
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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

A fast-paced daily AI news and analysis show that covers the business, policy, and technical sides of artificial intelligence. Episodes often explore governance and regulation, enterprise adoption, token economics, agent-based workflows, and the broader societal implications of rapid AI progress, with practical frameworks and takeaways for professionals piloting AI at scale. Notable strengths include a clear, data-driven approach, a willingness to tackle big-picture questions (trust, openness, safety), and episodes that balance industry moves with hands-on guidance for practitioners and decision-makers. Potential listeners may appreciate the mix of policy context, market dynamics, and actionable frameworks, though pacing and ad load have be... more

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These podcasts share a similar audience with this podcast:

1. Practical AI
2. Last Week in AI
3. How We Got Here with NLW
4. AI Hustle: Make Money with AI
5. How I AI

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this podcast launched 4 years ago and published 1137 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Nufar Gaspar
2. Jacob Sandbury
3. Alex Lieberman
4. Tina Hough
5. Noah Breyer
6. Sumit Singh
7. Nir Zikerman
8. Joe Hudson

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