https://xitter.cf/t.co/UjK3ZEETml

Joined January 2020
We should be legally allowed to shoot two babus daily
A statement issued by CERT (Computer Emergency Response Team) warns of a compromise involving eMudhra’s eight intermediate CA certificates due to weak cryptographic keys, which could allow attackers to issue fraudulent TLS certificates and intercept or modify encrypted communications. The advisory outlines mitigation measures, including security updates, certificate replacement where required, and verification of certificate trust chains.
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No. That’s not how that works
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???? It literally is
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Playing Super Mario and having to drop it after finding out the goombas use AI to move left and right
✝️🇺🇸 The Intern 🌐🔆@EiratheInternOct 17
Spiderverse used AI in production
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You’re seriously arguing that using machine learning to generate images based on previously obtained data is not generative ai?
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That is not what the tool does. And this has existed for decades in animation, even in games.
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It's insane how this book was published in 1995, and there hasn't been better material on NURBs modelling since.
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Thought experiment: If codex predicts my follow-up messages accurately, am I rly needed at that point? If labs can perfect prompt prediction, won't the models just endlessly post-train on auto-generated threads to become intelligent beyond humancomprehension?
Codex is now accurately predicting ~1 in 4 of my user messages to it. One of the best researchers I've worked with has described their own predictions as "terrifyingly accurate". Give it a shot:
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this has existed in claude for a while. the predictions are usually simple like go ahead, check x, etc. chatgpt always ends at a question. it also just autofills the answer.
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Yeah, but from the demo it seems codex's predictions are more sophisticated and intent driven
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Internet censorship is getting worse (better, technically). I barely see any posts around the protest. Even the railway closure is not on my feed.
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Habibi join insta :P
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Wouter van Oortmerssen@wvoOct 7
Goose: my latest programming language. Safer, faster and less memory than Rust/C++ for algorithms where tightly packed, flat data structures matter. It can represent more kinds of data structures as flat, pointer-free bytes than any language I know. github.com/aardappel/goose 1/
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Wouter van Oortmerssen@wvoOct 8
Yes, I'll be maintaining this.. it's my most important language project next to Lobster.
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glad to hear that!
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Most "software factory" people have clearly never read a book about manufacturing processes. I highly recommend, this knowledge transfers to software engineering more than it ever has.
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I've read the Toyota Production Systems book you mentioned below -- I don't get it, wdym it transfers to software? what part?
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Was not expecting this. 'Ghosts of Departed Proofs' is my all-time favorite typed FP paper. Highly recommend going through it if you haven't. If gdp-ts is as good as the tweet says, I'm moving most compile-time invariants to this.
Introducing gdp-ts: Ghosts of Departed Proofs for TypeScript. gdp-ts is a library, linter and AI skill for safer API design. Under this contract, sensitive functions require 'proofs' that the caller performed an authorization check. The typechecker verifies these proofs at compile time, preventing your team and agents from shipping catastrophic security (and other kinds of) bugs. While these patterns have existed for quite some time, especially in ecosystems like Haskell, ① human code review and ② cognitive and syntactic overhead made these solutions niche. The situation is now inverted. Agents are writing more code than we can review, and they *thrive* in tight loops with hard constraints that would frustrate us. We see this with the rise of Rust, borrow checker, code aesthetics debate and all. The README and examples model a real-world Vercel API product constraint: changing the password on a Project requires a proof of a certain role + a certain entitlement. Thanks to Matt Noonan and Ollie Charles for their research in this space. github.com/rauchg/gdp-ts
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Agents are can now write ~100% of most code. And yet, knowing the implementation details in-depth *is* important. Apps where devs don't care about code have a "smell". Your users can feel it. I've felt it myself while looking to switch text editors. [1/n]
"No one on my teams writes code anymore" is no longer a useful differentiator. The real question is: does anyone on your team _read_ code anymore?
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Everything I want is technically "available", but not within reach. And theres no common "language" between me and the editor. Ironically, the best editor I found—and then ditched for other reasons—was one where the author rejects all use of AI. It's called Gram. [3/n]
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There's likely a balance that the industry (I hope) will converge on, or the agents get better with long term memory. But until then, I strongly encourage being acutely aware of your code. As for editors: I'm currently using Zed, and still looking out. Nearly quit nvim.
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This is really simple and clever. Makes you wonder why culling didn't occur to competitive FPS/Mobas in all these years!
Few things ruin a great match faster than wondering whether an opponent earned the win or saw you through a wall. Wallhacks give cheaters information they were never meant to have. With Modern Warfare 4, we’re introducing a new way to fight back: Server Culling. Here’s how it works:
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The slow acceptance of ai everywhere is scary
What's your opinion on Bleach that will get you in this position?
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For most, the reason to reject AI was it's quality. This gap is on the verge of closing. Anyone who cared about the outcome rather than the process will accept AI art sooner or later.
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one of my favorite examples from my upcoming VLM OCR benchmark. thanks a lot to everyone who contributed data.
anyone working super hard OCR problems? I’m building next version of my OCR benchmark and could really use some help I need: - handwritten text - printed documents hand corrections - technical drownings - anything you think is hard
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can I know, what model you use?
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It's an internal model. Trained on our own data.
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