I set myself a small challenge: to code in 2 days a French SaaS platform that generates professional photos by training its own AI model in just 2 clicks (yes, yes…) with the latest models while respecting privacy. I'm almost done, but I have
@dfintelligence
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Google’s problem: too many steps to use Gemini
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Here's Google's problem. To use Gemini, you need to create a GCP account, create a service account, go to Google AI Studio, activate the product, then generate your key, which you use using AI Studio but the product is actually called Generative API.
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Study: fear of AI for jobs stronger among young people
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Obviously, the fear of AI regarding job security is well raised in the study. Interestingly, the younger you are, the more afraid you are… Any idea why? ————————
#HPPartner #HPWorkRelationshipIndex @HP -
DFIntelligence: Struggle with complex files, but better than Claude alone
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Edit: after 4h of use, it's a struggle to use for quite complex tasks across multiple files, and it quickly forgets important contexts. BUT it's still better than just Claude in chat. (I find myself having to copy-paste files onto
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Claude: finds files, understands queries, executes and modifies
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It finds files itself, it has a much better understanding of queries, it can run everything for you, and modify everything in multiple files at the same time. And above all, Claude.
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Understanding different scopes of ctrl+k/i by context
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The trick is to understand that there are different scopes depending on whether you use ctrl+k/i in the terminal, in the chat, in a file, etc.
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Critique of AI rejection and call to target leaders
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Why demonize AI with the 'hands off my VF' movement? Why not focus on business leaders to create recognitions (or whatever) rather than focusing on denying a technology? Because technology, no matter what, will
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Two Visions of AI Clash
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On the left: Flux available on Grok, directly on X. On the right: The same request on ChatGPT. Two visions of AI development are clashing. On one side, an unfiltered, open-source model with the strength to warn about the misuse of these technologies.
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Sharing Scientific Links in 2024
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As promised: https://nature.com/articles/s41586-024-07566-y
… https://arxiv.org/html/2311.16822v2
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Dangers of LLM-Generated Training Data
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One of the worst mistakes many AI teams are making today: Using data generated by LLMs to train machine learning models or create a 'self-learning' training loop. While the idea may seem appealing and