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Agost Biro

@agostbiro

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Agost Biro
@agostbiro
I added some comments to the subset transitivity proof
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You don't get a louder warning than this https://www.nbcnews.com/politics/2024-election/13-former-trump-administration-officials-sign-open-letter-backing-john-rcna177227
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Agost Biro
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After a two week hiatus I was considerably rustier, so just a short exercise today to prove the transitivity of subset relations: https://github.com/agostbiro/mathematics_in_lean/commit/16ae0aad2173868f365d147e43b7fee1fa65cc71 Gotta prioritize daily progress no matter what
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constraints gud
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I love this and pretty much all of Stephen Mitchell’s work. Recommend Book of Job by him if you haven’t already
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Agost Biro
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I think about meme coins as Schelling points to express enthusiasm around a topic. So new social primitives for me
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Arjan | That Poetry Guy
@arjantupan
"This isn't about mimicking Silicon Valley. It’s about amplifying our unique European strengths: our diversity, our decentralized talent pool, and our unique startup hubs." This is precisely it. For a long time. It's time to finally change this. I signed. What about you? h/t @agostbiro https://www.eu-inc.org/
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Petition for the next commission to get eu/acc on their agenda: https://www.eu-inc.org/
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Anna Karenina
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https://www.washingtonpost.com/technology/2024/06/02/grayzone-russia-iran-support/
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July
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Part of this has to do with Intel x86 design, in the 70s and 80s as Intel was the dominant market leader in CPU cores, they kept throwing stuff ad hoc onto the chips they were building. Another reason they were eventually built in the low power market by ARM - Intel SGX being by built on x86 because it’s so haphazardly put together is vulnerable to side channel attacks. ARM (and its equivalent- ARM TrustZone) is also prone to having a single point of failure but the way it was designed was for components that could be more modular and separate (lower power MCUs needed more flexiblity in what components were going to be configured how vs power hungry x86 where you could just throw whatever junk in there and it would work) for a while this was done because everyone was on desktop, but now as we all know embedded systems are more prevalent than ever
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Is anybody headed to Eurorust in Vienna? Hit me up if you do! I’ll be at the async workshop tomorrow
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Did a few more exercises in the Logic section of Mathematics in Lean. I like that they're introducing a bit of analysis with monotone and even/odd functions in this section to make it less dry. The exercises went quickly as I managed to guess the required theorem names the first or second time. This was previously a source of frustration, but it looks like I'm getting the hang of it. The naming is logical. One interesting bit is that I managed to write a simpler solution than the book for one of the exercises (dark picture is mine and bright is the book). The reason is probably the pattern matching in the rewrite tactic becoming more powerful since the book was written. https://github.com/agostbiro/mathematics_in_lean/commit/f0e5f3b3d40f3ca7d8b7810f7e58b49d24196021
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Apple open sourced a break through model for monocular (single image) depth estimation. This is a huge unlock for many things from robotics to computer graphics. https://venturebeat.com/ai/apple-releases-depth-pro-an-ai-model-that-rewrites-the-rules-of-3d-vision/
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Did some more exercises in the Logic section of the Mathematics in Lean book.[1] These introduced proof terms which are just a series of function applications with a more elegant lambda-like syntax. Proof terms underscore that proofs in Lean are really just functions from types to types that compile. As a I side note, the annoyance about having to guess theorem names to solve exercises remains. Hopefully I'll get better at this in the future or find better tools to help. https://github.com/agostbiro/mathematics_in_lean/commit/4aa78ca0f8d8dc4c983b429f5dab26d26b726aa7
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Yeah, def these posts will be helpful to provide feedback
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Possibly once I've finished it, but I don't feel experienced enough yet to propose changes
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Prof Kevin Buzzard gave a talk[1] at Microsoft in 2019 how he got started with Lean as a teaching tool for undergrads and how he intends to transform modern mathematics by formalizing it with Lean. There has been a lot of progress in that and he has now a research grant to formalize the proof of Fermat's Last Theorem with Lean.[2] What was not foreseen at the time of his 2019 talk is that AI researches have adopted Lean for models that generate proofs.[3] [1] https://www.youtube.com/watch?v=Dp-mQ3HxgDE [2] https://xenaproject.wordpress.com/2024/01/20/lean-in-2024/ [3] https://deepmind.google/discover/blog/ai-solves-imo-problems-at-silver-medal-level/
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It's supposed to intimidate the US, not Chinese citizens, and US military planners got the message, because their weapon systems are vulnerable to large scale coordinated drone attacks on land and water
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My answer won't fit in there, but TLDR: > The promise of Quilibrium is that all web apps will run on a single programmable decentralized protocol creating an innovation explosion in all web applications, not just specific niches like Ethereum and Farcaster. https://quilibrium.discourse.group/t/why-quilibrium-is-a-big-deal/17
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