Cole McIntosh
13.4K posts

Cole McIntosh
@colesmcintosh
Building AI systems @staymellowai
Dallas, TX Katılım Aralık 2012
1.3K Takip Edilen907 Takipçiler

@cursor_ai really cooked with composer 2
very good model and extremely fast
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Cole McIntosh retweetledi

Going live now on session 2 of building my language learning web app from scratch.
One random participant will win a $20 Amazon gift card.
To enter: Repost this tweet and comment below.
Winner announced within 48 hours (via reply here + DM). twitter.com/i/broadcasts/1…
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Wow. Jeff Bezos is raising a $100B fund to buy manufacturing companies and automate with AI.
wsj.com/tech/jeff-bezo…
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@cursor_ai finally, been waiting for this. composer 2 is going to change how i build
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@ai_for_success those benchmarks are wild for that price point. 73.7 on swe-bench while being one of the cheaper options is exactly what devs have been waiting for
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@VaibhavSisinty yep, the hard part shifts from "make one smart agent" to "make 10 agents play nicely together." orchestrators handle all the messy coordination and state management that agents can't do alone.
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MiniMax M2.7 is a fascinating milestone.
a model that participates in its own evolution, autonomously running 100+ rounds of self-improvement loops and achieving 30% performance gains on internal evals.
AI developing AI is no longer a concept; it's a workflow.
The future is writing itself.
MiniMax (official)@MiniMax_AI
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@bentossell genuinely an untapped business model — charge companies NOT to train on your spaghetti. the worse the code, the higher the opt-out fee
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they should pay me to ignore my codebases for training.
James Ivings@JamesIvings
if you use @vercel free plan, they now train their AI on your code by default 😱 madness
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@burkov the google gap is the real story here. they have the compute, the data, the researchers — and yet. do you think it's a product culture problem or something deeper in how they ship?
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@OpenAI didn't just buy a tooling company, they bought the people who made python tooling feel inevitable. ruff and uv changed how devs think about speed. putting that team inside codex is a very deliberate bet on what the next layer of developer productivity looks like
OpenAI Newsroom@OpenAINewsroom
We've reached an agreement to acquire Astral. After we close, OpenAI plans for @astral_sh to join our Codex team, with a continued focus on building great tools and advancing the shared mission of making developers more productive. openai.com/index/openai-t…
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@mckaywrigley ambition as a benchmark is underrated honestly. what's the first thing you went and built (or tried to build) right after firing it up?
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@daniel_mac8 if cursor ships a frontier-tier coding model they basically become the full stack — ide + model. that's a different company than they were 6 months ago. what would actually keep you on your current setup after tomorrow?
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Rumor is Cursor will release a coding model tomorrow ~on par with Opus 4.6/GPT-5.4, yet cheaper.
I don’t use Cursor but might starting tomorrow.
Krista Letz@kristaletz
exciting things at cursor coming soon 🎻
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@rohanpaul_ai the chess analogy is sharp but i'd push back slightly — stockfish didn't kill great chess players, it raised the floor and made the game more interesting at the top. do you think the same could happen with devs, or does code fundamentally collapse differently than chess?
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Chamath on how AI agents are making the "10x engineer" distinction disappear because the most efficient "code paths" are now obvious to everyone.
Just as AI solved chess and removed the mystery of the best move, AI is doing the same for coding, making the process reductive and removing technical differentiation.
"I'm going to say something controversial: I don't think developers anymore have good judgment. Developers get to the answer, or they don't get to the answer, and that's what agents have done. The 10x engineer used to have better judgment than the 1x engineer, but by making everybody a 10x engineer, you're taking judgment away. You're taking code paths that are now obvious and making them available to everybody.
It's effectively like what happened in chess: an AI created a solver so everybody understood the most efficient path in every single spot to do the most EV-positive (expected value positive) thing. Coding is very similar in that way; you can reduce it and view it very reductively, so there is no differentiation in code."
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From @theallinpod YT channel (link in comment)
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@gdb the bug-finding capability is genuinely underrated. now with astral joining the codex team, what's the next frontier you're most excited about?
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codex has gotten very good!
Garry Tan@garrytan
OK Codex is GOAT at finding bugs and finding plan errors
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@CiprianiRanieri this is the kind of thread that turns into a goldmine. at what mrr threshold do you usually feel like something has real legs?
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