
In the next Shoot AI update, you will be able to generate models for your pets! Here's my dog Zeno living his best life. See you next week for a big platform update!

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In the next Shoot AI update, you will be able to generate models for your pets! Here's my dog Zeno living his best life. See you next week for a big platform update!

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The fact that AI wins the Nobel Prize in physics and chemistry is the best proof that AI is a positive asset for science, and more broadly an incredible opportunity for humanity.
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Does anyone know of companies with real use cases using Gemini or Mixtral, please? With a benchmark, advantages/disadvantages, that led to this choice? And when I say "real," I mean truly real. Because there are "French Tech" projects that claim to use Mixtral.

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We code a Minority Report AI live on Twitch and test it in the event. Donate generously to help children. Twitch: defendintelligence
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Yes well no … 🙂 Each image is a manual prompt, chosen, typed, and then they selected images, then animated them individually to make 2-second videos, all within a sequence and editing done by a human, etc etc.. It is
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Clever little guy, go!! The feature is already in beta, I'm having a blast generating my dog Zeno already. I communicate gradually about the new features.

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September Review!! In 20 days, I created an AI SaaS that generates €7,945 in monthly revenue, with 15,000 unique visitors, 5,000 registered users, and 320 paying users. This SaaS addresses a very specific problem for a very particular type of person.
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And that's where you'll see SEO for conversational agents arrive. Let me explain: the Google robot will be able to talk to a site to get "answers" for indexing. Or an .archive in the form of an FAQ to allow indexing. In short, search and access to
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Wait until we have LLMs that work with JavaScript libraries directly in the browser. 90% of the websites we know today will die to be reborn in the form of a 'conversational agent'. No more endless pages and sections that nobody reads.
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If you want some literature, here's a meta challenge on VIDEO, where the best algorithm only achieved 65% accuracy. (The random baseline is 50%) And on video, it should be even easier, right? (With a $1M prize pool!!!)