Founding engineer at https://xitter.cf/t.co/M0jGhS98Pd https://xitter.cf/t.co/CGK7zQiXro $3.9k/m sold https://xitter.cf/t.co/j6kmuKkhyK 1k$ total ❌ https://xitter.cf/t.co/5HqWPoFcQE 0$ total ❌

Belgrade, Serbia
Joined September 2008
Big news: we have entered into an agreement to acquire Accrue, continuing our expansion of our embedded finance offerings. Commerce is shifting. Payments and loyalty are converging across physical, digital, and agentic channels, and brands need infrastructure that can power these experiences. By adding Accrue’s branded wallets, stored value, and rewards into our platform, our partners will have access to a complete embedded finance stack to offer their customers payments and loyalty rewards within a single financial experience. Brands want their own wallets. Now, they can build one on our platform. Learn more: crossriver.com/newsroom/cros…
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Effect v4 is here. One ecosystem. Zero dependencies. The next chapter of Effect and the foundation for building reliable software and AI agents in TypeScript.
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This was just 3 prompts to opus5.5 and about 20mins of work crimson-morning-51fb.justcat…
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Saša Šijak retweeted
bro just dropped Gemini's system prompt
you are going to fail, so fail while daring greatly
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Will X fix the grok subs, there is like 3 different ways to get Grok and its confusing what is the best way to sub to it? Via X, Cursor, Grok?
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Saša Šijak retweeted
The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently. For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios. But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
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Replying to @PessimistsArc
Right. Dario was already claiming that GPT2 was too dangerous to open source back in 2019. I made fun of them then. Everyone should make fun of them now.
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So 1 prompt after claude limits reset on 5x plan and it used 5h limit after 18mins and did not even finish. Also took 20% of weekly fable limit... Totally unusable
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Saša Šijak retweeted
astra waiting to get added to the model selector dropdown
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Saša Šijak retweeted
What could have been.
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So back for at least 2 days until openai drops astra, because they for sure waited to drop it after anthropic release
BREAKING: Anthropic just dropped Fable 5.1—and CLAUDE IS SO BACK. We’ve spent the last week testing it at @every across coding, writing, and knowledge work. Our verdict: It's finally Fable for everyone. It’s the strongest coding model we’ve used, but now it's fast, token-efficient, and CRUCIALLY actually speaks like a normal person. Here’s our vibe check: - A monster at coding. @kieranklaassen rebuilt a working version of Proof, our document editor, from one prompt. It added useful details he hadn’t requested, and it handles enormous coding jobs that run for days at a time. It built a computer use Mac app for me called Hands in one-shot that other models failed at. - A Claude our writers want to use again. It has clearer prose, fewer AI tells, and it takes an edit without arguing. It's a significant upgrade over Opus 5. And won @kplikethebird's heart back. - About half the tokens as Opus 5, and much faster. In our Slack-agent tests, it delivered comparable results to Opus 5 using about half as many tokens, in about 60% of the time. - Knowledge work you can delegate. It can produce great knowledge work—like slide decks—end to end without making slop. And flew threw @hammermt's tests with flying colors. - It now supports zero-data-retention agreements. Now businesses can actually use it! A big barrier to Fable adoption is gone. Net Result: It's obviously an Opus 5 killer. If that was your daily driver you should switch today. If you're using GPT-5.6 in ChatGPT for Work, it's spinning the wheels on for big delegated tasks. I still use ChatGPT for Work more day to day, but I use way more tokens in Fable 5.1. I send it off at the beginning of the day to do big programming projects, like end to end MVP builds, and check in every once in a while. State of Play: The big knock on Anthropic was they built a supergenius in a datacenter that was almost unusable. It was too slow, argued back, and talked in technical gibberish. They've managed to solve those problems and more with Fable 5.1!
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Saša Šijak retweeted
looks like Codex limits may have been quietly nerfed. back in June, SemiAnalysis tested the ChatGPT plans and estimated their max API-equivalent usage at roughly: $20 Plus → ~$700/month $100 Pro 5x → ~$3,500/month $200 Pro 20x → ~$14,000/month now a Plus user tracking with NerfTrack says their weekly limit dropped from around $160 → $80, basically a 50% cut. one Pro 5x user also shared numbers showing $674 → ~$157/week, which is around a 77% drop. a lot of people have been noticing their Codex quota disappearing much faster lately too. hopefully this is just a bug, right @thsottiaux ? right??😭
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Something is off with gpt5.6-sol. I drain full weekly limit in 2 days with one agent only on gpt5.6-sol on medium. Previusly on gpt5.5-xhigh I could run it all the time and never drain weekly limit. Appreciate the resets @thsottiaux but either there are issues on how sol is served or @OpenAIDevs just reduced 200$ plan limits by a lot because cost of the model should be the same/similar as 5.5.
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Saša Šijak retweeted
Ok, I'm going to be annoying here But what's stopping Node.js from implementing a native HTTP server based on Web Standard Request/Response? Like really? What's stopping it? It's very clear the industry has moved into this Runtime: Bun, Deno, Workerd/Cloudflare Worker, Vercel Function, Netlify Edge Function, Fastly Compute, Supabase Edge Function, even in your browser via Service Worker Meta framework: Nextjs, Nuxt, Angular, SvelteKit, Tanstack Start, Astro, Remix, Waku Even backend frameworks: Hono, Elysia, H3, every single Deno/Bun/Cloudflare Worker framework Every single one uses Web Standard Request/Response, but the only major runtime that doesn't support it is Node.js? I would urge that not implementing it is hurting the ecosystem It makes the library/framework author have to implement their own adapter to convert from Node IncomingMessage/OutgoingMessage to Web Standard Request/Response just for the user to use it properly in a runtime that doesn't support it as an exception It noticeably adds unnecessary work to maintainers and additional overhead in both compute and memory usage for YOUR servers If you are using a meta framework, you are having a performance degradation compared to what it should be because Node.js simply decided not to implement this specific feature over the past years "Oh but it is slow" Implementing it in runtime native code has many more optimization options available than in userland, like lazy initialization, like how Deno does And it can't possibly be worse than every framework paying adapter cost today "Oh but that would be a breaking change" No, Web Standard Request/Response exists but is just never used outside of fetch http.createServer doesn't need to be removed; just create a new function that doesn't intersect with it, and that's just literally it Node.js was even on the WinterCG committee (now WinterTC) to draft this standard, just to implement the bare minimum for fetch and not an HTTP Server? Like come on I'm willing to bet if you ask a maintainer of a framework that supports API routes how they feel about this, every single one will say they're not happy or at least annoyed Personally, it felt like it's starting to get from the understandable zone into a really questionable zone I know how frustrating it is for maintainers to get a request to support this or that, as I myself also don't like one either But come on, when there's a standard already agreed on and used by everyone for years that even you yourself helped draft but just decided not to use it, you can't expect people not to complain about what makes their work harder Do I have to draft a page requesting support and ask for the author of each framework/runtime to sign so we can have the evidence that the majority library/framework wants it? Or do you need help to draft an API or implementation? I'm willing to bet that many people would want this feature natively supported on Node.js, even I would be willing to help with it where I can
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I year ago we were trying to make LLMs do more and finish everything we gave them. Now we are trying to make them do less because the issue now is not if they can implement something, but how much slop they add while doing it. Hopefully next year we don't need to do any of that
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Saša Šijak retweeted
High-speed video of 33 Raptor engines powering the Super Heavy booster on Flight 13
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"Series M"
BREAKING: Data analytics platform Databricks is raising a $3 billion Series M at a $188 billion valuation led by Coatue
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The way gpt5.6 sol just goes and does whatever you ask it to until its fully implemented and working, and then uses computer use plugin to test and verify and adjust the implementation is just magical.
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This was just a few prompts with GPT-5.6 Sol on xhigh. Wanted to test how it improved with 3d scene reasoning and generation. It nailed every object on first try 🤪 @OpenAI cooked (open on desktop) party-blue.vercel.app/
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