I'm also cautious about rogue model designers who don't play by the rules. At least for the time being, it seems like the community is very good at making open source alternatives to proprietary models. We'd need to agree as a society that certain things should be off limits.
AI
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Model Designers and Users Share AI Safety Responsibility
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Definitely! With cooperation from model designers, there's hope. But like I said, if all the burden is on the users alone? Then I'm not so hopeful.
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Keras Preprocessing Layers: Seeking Company Collaboration for Large-Scale adapt()
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If you're a company that uses Keras and you face this use case (large scale adapt() of Keras preprocessing layers), would you consider working with us to implement it? We're a small team and we don't have the resources for this at this time…
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Rich People Power and Organizational Resistance Strategies
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Let's say no in case one of them is listening 😉 More seriously whether you're a for-profit, non-profit, public or private, the truth is that rich people can always mess with you. Hopefully they won't and we'll try to resist if they do!
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AGI Token: How AI Agents Generate Economic Value
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This is about $AGI, the AGI Token AGI Agents will likely generate transformative economic value: AGI Nodes X AGI Agents = AGI Token ($AGI) http://
MONTREAL.AI: Winning the #AGI Race #AGI #MontrealAI -
Twitter Impersonation Crisis: Inside Account of Eli Lilly Incident
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Has anyone published a blow-by-blow account yet of what was going on inside Twitter yesterday when the Eli Lilly (and other amazing impersonations) thing happened? I refuse to believe there's no-one inside anonymously talking to the press about it
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Beam-style computation support designed but not yet implemented
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Correct, the underlying API / infra is designed to potentially allow Beam-style computation. We have not implemented it and it's currently deprioritized (the current adapt() is serial and single-threaded). But we could if there's demand in the future — the design is there.
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Why Investors Push Startups to Burn More Money
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Interestingly most investors usually want startups to burn more, because that means they would need them more haha (and also because they think more burn always = more growth). The startup ecosystem is a bit broken in that way IMO
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TensorFlow Graph Performance Eliminates Python Slowness Issues
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The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.