Oops! That's on me! The first 2 links in the post above were copied incorrectly by me when I posted them. Here are the 2 correct links… (1) Announcement and release from @PreciselyData >> Precisely Advances Agentic-Ready Data with a New AI Agent, Data Product Marketplace, and
DATA
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Stanford AI+Science Panel Examines AI for Earth and Climate Challenges
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From ocean dynamics to food security, this AI+Science panel examines how AI is being used to address the biggest challenges in earth, climate, and systems sciences. Join the conversation with @DavidBLobell
, @JeanKossaifi
, and other leading scientists: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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WordPress Categories for AI and Related Technologies
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The crux of the Musk-OpenAI trial so far is that Brockman keeps acting as if selling chatbots and API access for profit (which is what they do now) is exactly the same as the original mission (which was explicitly working on the AI safety for public benefit). They are obviously
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Precisely Launches New AI Agent and Data Product Marketplace for Scalable AI
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This is an important announcement and release from @PreciselyData >> Precisely Advances Agentic-Ready Data with a New AI Agent, Data Product Marketplace, and MCP-Enabled APIs: https://
pressreleasehub.pa.media/article/precis
ely-advances-agentic-ready-data-with-a-new-ai-agent-data-product-marketplace-and-mcp-enabled-apis-72700.html
… What this means for Scalable AI in your enterprise: https://
precisely.com/data-integrity
/what-the-latest-advances-in-agentic-ready-data-mean-for-scalable
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Gemini API File Search Now Multimodal with Free Embeddings
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Good news for AI builders: the File Search tool in the Gemini API is now multi-modal , powered by our Gemini Embedding 2 model, + support for custom metadata & inline citations : ) File Search comes with storage and embedding generation at query time free of charge!
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Tesla Vehicle Data Recording and Privacy Concerns
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All technology can be used for good and evil. Yeah.
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Hands-On Simulation Modeling with Python Book Announcement
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I’m with you. A 12-million token context with 1,000x less compute seems too good to be true out of nowhere. Seems like something big labs would throw billions at to get access to.
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Book on Business Analytics for Profitable Data Insights
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“Non-technical teams are now shipping production code” – I’m referring to this specific line.
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The Danger of Making Decisions Based Upon Averages
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Super grateful for what he’s built. It’s opened the floodgates for a lot of similar systems and gave people a glimpse of what’s possible. Saying that… the community pointing out the rough edges is what pushes the product forward and leads to improvements. (Assuming it’s done
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Hockey Analytics: A Game-Changing Perspective Book
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Seriously? The actual move is to remove the ripped video and link to it on his account or YouTube. You’re literally attempting to put money in your pocket from someone else’s creation. Pretty jacked up if you ask me.