This chapter delves into the surge in downloads of Meta's llama models, reflecting a growing reliance on open-source AI technologies. It discusses the implications of these trends on cloud providers, geopolitical factors, and the significance of Anthropic's transparency efforts regarding system prompts. The chapter also highlights advancements in distributed optimizers for AI training, innovative applications in gaming, and the challenges faced in autoregressive image generation.
Our 181st episode with a summary and discussion of last week's big AI news!
With hosts Andrey Kurenkov and Jeremie Harris
Read out our text newsletter and comment on the podcast at https://lastweekin.ai/
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Email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai
In this episode:
- Google's AI advancements with Gemini 1.5 models and AI-generated avatars, along with Samsung's lithography progress.
- Microsoft's Inflection usage caps for Pi, new AI inference services by Cerebrus Systems competing with Nvidia.
- Biases in AI, prompt leak attacks, and transparency in models and distributed training optimizations, including the 'distro' optimizer.
- AI regulation discussions including California’s SB1047, China's AI safety stance, and new export restrictions impacting Nvidia’s AI chips.
Timestamps + Links:
- (00:00:00) Intro / Banter
- (00:03:08)Response to listener comments / corrections
- Tools & Apps
- Applications & Business
- Projects & Open Source
- Research & Advancements
- Policy & Safety
- Synthetic Media & Art
- (02:14:06) Outro