Artificial Intelligence #237

Hey, in this issue: in the age of AI, what makes people unique?; how people actually use AI chatbots; 10 years of our AI-specialized chips at Google; Generative AI in real-world workplaces; torchchat: run PyTorch LLMs locally; manipulating ChessGPT's world model; and more.

The sponsors of this issue are Nexla and True Positive Inc.

• In the age of AI, what makes people unique?
• AI Is heating the Olympic pool
• New report shows how people actually use AI chatbots
• [Sponsored] Pinecone & Nexla Tech Talk: Make GenAI Data Fresh and Searchable

Tips & demo on building data pipelines to/from Pinecone’s vector database for fresh & searchable data. Feat. Cory W., Staff Partner Engineer at Pinecone: Move data in any formats | Direct data integration for any sources | Build no-code RAG workflows with context enrichment and metadata filtering.

• [Google] TPU transformation: A look back at 10 years of our AI-specialized chips
• torchchat: run PyTorch LLMs locally on servers, desktop and mobile
• Generative AI in real-world workplaces: The second Microsoft report on AI and productivity research
• [Sponsored] Machine Learning Engineering book
• Manipulating ChessGPT's world model
• [Project] Seek-tune: An implementation of Shazam's song matching algorithm

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