Top Technology Podcasts – Apple Podcasts

Ganj e Hozour Programs

1

Ganj e Hozour Programs

Parviz Shahbazi
Dwarkesh Podcast

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Dwarkesh Podcast

Dwarkesh Patel
Everything Is Fake

3

Everything Is Fake

BBC Radio 4
Uncrewed Views

4

Uncrewed Views

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5

The Interface

BBC
The Cisco Learning Network

6

The Cisco Learning Network

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Syntax - Tasty Web Development Treats

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Syntax - Tasty Web Development Treats

Wes Bos & Scott Tolinski - Full Stack JavaScript Web Developers

11 Sept

AI researchers debate how close we are to recursive self-improvement

New episode with John Schulman, Beren Millidge and Charlie O’Neill. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. Watch on YouTube; read the transcript. Sponsors * Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your engineers actually writing code to verifying it. Antithesis does that testing for you. Ron Minsky, who co-leads Jane Street’s tech group, told me that Antithesis was able to help his team shake out bugs in software that had already undergone heavy review. If you want to see how it fits into your development process, go to antithesis.com/dwarkesh * Grok Bot has been a great way to hand off tasks. My team uses it as a producer: whenever my editor posts a rough cut of an interview in Slack, Grok Bot opens the transcript on its own computer, matches my notes to the exact moments they refer to, and uses a file of my preferences to suggest edits. Then it sends me its top clip candidates so I can review everything from my phone, which saves my editors from sorting through hours of footage. Try Grok Bot for yourself at x.ai/bot * Jane Street just launched its most ambitious competition yet: design a protocol-emulator ASIC. Basically, if you have a chip you want to test outside of a live system, you should be able to connect it to your design and have it simulate realistic traffic. Jane Street wants general-purpose, reprogrammable designs that can work across multiple protocols and remain useful as new ones emerge. The most novel submissions will actually get taped out, and the winners will receive a physical copy! The competition is open until January 18, 2027, and teams are encouraged. To get started download the template code at janestreet.com/dwarkesh Timestamps (00:00:00) – Steelmanning the case against RSI (00:18:39) – What’s driving the Chinese labs’ progress (00:28:06) – How will automated AI researchers be trained (00:33:51) – Will long-horizon RL elicit AGI? (00:45:24) – The sim-to-real gap (01:00:33) – How much progress is explained by data? (01:18:03) – Why is RL working so well? (01:24:54) – Move 37 and entropy collapse (01:28:32) – Rapid-fire timelines This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
10/01/2024

Ganje Hozour audio Program #992

Ganj e Hozour Programs
17/01/2024

Ganje Hozour audio Program #993

Ganj e Hozour Programs