Jack Altman

speaker
4,592 appearances 200 recordings 1 series first heard May 2025 last heard yesterday

Jack Altman’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months
24 · Sep OctJan 26AprJulnow

Recordings per month over the last 12 months — 139 in all, peaking in Sep 2026 with 24.

Appearances

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In this episode, Gen Ka sits down with Anisha Charia to unpack where AI goes next. voice-verified
From an increasingly competitive model landscape to the explosion of applications turning raw intelligence into products people actually use. voice-verified
They discuss why AI models aren't becoming commodities. voice-verified
Where open weight models have an advantage, and why Anish believes the application layer can capture significant value, even as Frontier Labs continue to grow. voice-verified
Then they turn to consumer AI, where personal agents are beginning to shop, manage inboxes, and take action on our behalf. voice-verified
Anisha explains why this could be a renaissance for consumer builders, and why a new generation of founders may need to think much bigger about what AI makes possible. voice-verified
Thanks for listening to this episode of the A sixty Z podcast. voice-verified
If you liked this episode, be sure to like, comment, subscribe, leave us a rating or review, and share it with your friends and family. voice-verified
For more episodes, go to YouTube, Apple Podcasts, and Spotify. voice-verified
Follow us on X at A16Z, and subscribe to our Substack at a16z.substack.com. voice-verified
Thanks again for listening, and I'll see you in the next episode. voice-verified
As a reminder, the content here is for informational purposes only, should not be taken as legal business, tax, or investment advice, or be used to evaluate any investment or security, and is not directed at any investors or potential investors in any A16ZP. voice-verified
Please note that A16Z and its affiliates may also maintain investments in the companies discussed in this podcast. voice-verified
For more details, including a link to our investments, please see A16Z.com forward slash disclosures. voice-verified
A medical AI model can ace thousands of test questions and still fail at a job we actually need it to do. voice-verified
They discuss the gap between benchmarks and real world clinical tasks, why subtle bias and misalignment may be harder to catch than catastrophic failures, and what happens when models evolve faster than the healthcare system can evaluate them. voice-verified
NG also makes the case for an independent referee, one that can continuously test how AI behaves in real clinical settings. voice-verified
Compare computing models, and identify where they actually need to improve. voice-verified
Thanks for listening to this episode of the A6TZ Podcast. voice-verified
If you liked this episode, be sure to like, comment, subscribe, leave us a rating or a review, and share it with your friends and family. voice-verified
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