Excited to share that we've joined @IBM @Meta @Snowflake @Databricks and 50+ organizations to support the #AI Alliance: a community of leading organizations across industry, research and gov coming together to support #open innovation in AI. https://
pbase.ai/3UwJpXu
BIG TECH
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Major Tech Companies Join AI Alliance for Open Innovation
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Apple Ecosystem Features: Airdrop, Continuity, and Handoff
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being apple it probably will (airdrop, continuity, handoff etc)
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GPT-4 remains the most useful LLM despite OpenAI improvement needs.
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There’s no shortage of things I think should change or improve about OpenAI, but as of now GPT-4 is still the most useful LLM.
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Understanding US Future: Technology and Societal Concerns
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This thread helps explain my terror at the current/future state of the US
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Gemini Advanced falls short vs GPT-4 in usefulness and image handling
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Gemini Advanced (Gemini Ultra 1.0) is nowhere near as useful as GPT-4. Just some first impressions: Cons:
-randomly refuses to interpret images
-says cannot interpret images “containing people”
-any controversial question involving politics gives the same canned response -
Google reportedly developing Motoko as a Custom GPT competitor
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Google is also cooking Custom GPT competitor Motoko But knowing them it may take a while!
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Data Centers Hide Water Usage Behind Corporate IP Claims
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There are also reports from the AP showing companies owning data centers aren’t providing data to local communities on water they’re using quoting that info is corporate IP. Obviously this is deadly and ludicrous and irresponsible short-termism.
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Data Centers’ Water Crisis: Only 39% Report Usage
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It’s beyond irresponsible – it’s knowingly harmful based on data centers not reporting water usage. A 2022 @uptime report showed only 39% of data centers report water usage. But centers are being placed many times in known water scarce areas (droughts / aquifer depletion).
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Enterprise AI Adoption Partnership with Capgemini Announced
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Very proud to be partnering with @Capgemini to help enterprises adopt our technology!
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Mass Public Confusion From Tech Rebranding: Twitter X Example
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Also, I think the mass public confusion that comes with the rebranding is the worst part. Twitter / X is a perfect example, I still call it Twitter.