Patrick Senti
@productaizery
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AI | software engineer, solopreneur. Making life easier for AI & data professionals. I build things. #MLOps simplified @omega_ml #DevSecOps @ bogrod
Switzerland 🇨🇭
Joined August 2024
@cviktore Asyncio is an antipattern in Python because it ends up spreading to all of the code, eventually. Greenlets is the sane way to go, in particular for IO-bound tasks.
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RT @BLUECOW009: Literally nobody outside this app knows anything about the ai hype btw, its like living in a different world
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@mitsuhiko @simonw Yes, sometimes it's enough to add an issue to the github repo and come back a few months later ✨️ Let's label that: software engineering manifestation technique (SEMT) 🤓
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Yes, and statistical learning is essentially mathemtical optimization. Mathematical optimization in practice is iterating towards a solution (aka model) until some desired outcome is achieved (aka objective). There are many algorithms to do that. The $$$bn currently spent are on just one, gradient descent. That's insane.
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Nature: "Many behavioural tasks require an animal to integrate information on a **slow** timescale that can exceed hundreds of milliseconds." [emphasis mine] Software engineers: 🤯 Any system-level task that completes <100ms is considered *extra fast* in commercial software today.
One pyramidal neuron is a very sophisticated computational unit. No one really understands how neurons work in groups to yeild intelligence. They don't work like basic linear algebra + nonlinearities, they are much more complicated.
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There's an untapped opportunity for plug & play AI that is privacy-first, high-trust for small to medium companies, sourced locally.
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@kind_inkind @Grady_Booch Easy: No public network connections. Once they had those, hacking started.
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The EU has recognized that the #EUAIAct is a bit on the wordy side, and that companies need guidance. Their answer: Let's hold webinars! They call that the "AI Pact".
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Gradient descent. That's the algorithm. Unreasonably effective & powerful.
Sam Altman: "it looks like we have unlocked an algorithm that can truly learn and that's gonna keep going" the new paradigms and reasoning models will continue to scale smoothly which leads to AGI and beyond
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Whether "no-code" or "with-code" the very activity of using a tool to achieve some end is, in fact, coding. Whatever the tool, the key skill is abstraction: find the steps necessary to achieve an objective. The result is a specification of some form that a machine can use to achieve said objective by itself. That's the very essence of coding.
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Seen these 3' videos where some influencer demonstrates how they create this awesome AI automation that just works? Yeah, that video took 5 days to produce and 5 days of prior research.
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