Our 178th 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)
In this episode:
– Notable personnel movements and product updates, such as Character.ai leaders joining Google and new AI features in Reddit and Audible.
– OpenAI’s dramatic changes with co-founder exits, extended leaves, and new lawsuits from Elon Musk.
– Rapid advancements in humanoid robotics exemplified by new models from companies like Figure in partnership with OpenAI, achieving amateur-level human performance in tasks like table tennis.
– Research advancements such as Google’s compute-efficient inference models and self-compressing neural networks, showcasing significant reductions in compute requirements while maintaining performance.
If you would like to get a sneak peek and help test Andrey’s generative AI application, go to Astrocade.com to join the waitlist and the discord.
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Email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai
Timestamps + Links:
(00:00:00) Intro / Banter
(00:03:14) Response to listener comments / corrections
Applications & Business
(00:15:12) Investors in Adept AI will be paid back after Amazon hires startup’s top talent
(00:22:36) AI chip start-up Groq’s value rises to $2.8bn as it takes on Nvidia
(00:29:22) OpenAI co-founder Schulman leaves for Anthropic, Brockman takes extended leave
(00:36:18) Elon Musk files new lawsuit against OpenAI and Sam Altman
(00:41:40) Figure’s new humanoid robot leverages OpenAI for natural speech conversations
(00:47:01) ASML, Tokyo Electron dodge new US chip export rules, for now
(00:53:10) OpenAI reportedly leads $60M round for webcam startup Opal
Tools & Apps
(00:55:40) OpenAI cuts GPT-4o prices, launches Structured Outputs amidst price war with Google
(01:02:08) Apple Intelligence could get a $20 Plus version
(01:04:05) Audible is testing an AI-powered search featureÂ
(01:05:53) Reddit to test AI-powered search result pages
Research & Advancements
(01:06:35) Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
(01:16:27) Achieving Human Level Competitive Robot Table Tennis
(01:20:19) Self-Compressing Neural Networks
(01:32:43) Berkeley Humanoid: A Research Platform for Learning-based Control
Policy & Safety
(01:33:35) METR announces results of study on comparative capabilities of humans and agents
(01:39:35) ‘The Godmother of AI’ says California’s well-intended AI bill will harm the U.S. ecosystem
(01:49:13) Google Monopolized Search Through Illegal Deals, Judge Rules
(01:54:56) Amazon faces UK merger probe over $4B Anthropic AI investment
(01:55:44) GPT-4o System Card
(02:03:09) Outro
Source: Read MoreÂ