This chapter delves into the repercussions of the Chevron deference being removed, shifting regulatory power dynamics and complicating AI legislation interpretation. It also explores Nvidia's substantial projected revenue from AI chips in China, detailing the technology's features, comparisons with competitors, and challenges due to export controls. Additionally, discussions on the struggles of the Bureau of Industry and Security, workforce shortages in the semiconductor industry, and OpenAI's AI investing fund are covered.
Our 173rd episode with a summary and discussion of last week's big AI news!
With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)
See full episode notes here.
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In this episode of Last Week in AI, we explore the latest advancements and debates in the AI field, including Google's release of Gemini 1.5, Meta's upcoming LLaMA 3, and Runway's Gen 3 Alpha video model. We discuss emerging AI features, legal disputes over data usage, and China's competition in AI. The conversation spans innovative research developments, cost considerations of AI architectures, and policy changes like the U.S. Supreme Court striking down Chevron deference. We also cover U.S. export controls on AI chips to China, workforce development in the semiconductor industry, and Bridgewater's new AI-driven financial fund, evaluating the broader financial and regulatory impacts of AI technologies.
Timestamps + links:
- (00:00:00) Intro / Banter
- Tools & Apps
- Applications & Business
- Projects & Open Source
- Research & Advancements
- Policy & Safety
- (01:47:57) Outro