Our 173rd episode with a summary and discussion of last week's big AI news!
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With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)
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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
(00:03:24) Google opens up Gemini 1.5 Flash, Pro with 2M tokens to the public
(00:08:47) Meta is about to launch its biggest Llama model yet — here’s why it’s a big deal
(00:12:38) Runway’s Gen-3 Alpha AI video model now available – but there’s a catch
(00:16:28) This is Google AI, and it's coming to the Pixel 9
(00:20:06) Perplexity’s ‘Pro Search’ AI upgrade makes it better at math and research
(00:23:12) Gemini’s data-analyzing abilities aren’t as good as Google claims
Applications & Business
(00:26:38) Quora’s Chatbot Platform Poe Allows Users to Download Paywalled Articles on Demand
(00:32:04) Huawei and Wuhan Xinxin to develop high-bandwidth memory chips amid US restrictions
(00:34:57) Alibaba’s large language model tops global ranking of AI developer platform Hugging Face
(00:39:01) Here comes a Meta Ray-Bans challenger with ChatGPT-4o and a camera
(00:43:35) Apple’s Phil Schiller is reportedly joining OpenAI’s board
(00:47:26) AI Video Startup Runway Looking to Raise $450 Million
Projects & Open Source
Research & Advancements
(00:59:26) Researchers upend AI status quo by eliminating matrix multiplication in LLMs
(01:05:55) AI Agents That Matter
(01:12:09) WARP: On the Benefits of Weight Averaged Rewarded Policies
(01:17:20) Scaling Synthetic Data Creation with 1,000,000,000 Personas
(01:24:16) Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization
Policy & Safety
(01:47:57) Outro
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