Al

[vik @vikhyatk]

chopping vegetables is crazy you make one wrong move and you lose a finger

[Ethan Mollick @emollick]

Very few people know the amount of useful work that the current models can do in Code/Codex/etc. with the right setup

This is not a "rah rah you are so early" post, this is a "AI companies are doing a really bad job explaining what their systems actually do in a clear way" post.

[banteg @banteg]

consumer app got fully replaced with codex while codex stayed fully intact and you guys are complaining. it’s a total dev victory.

yes, it’s a bit odd seeing the exact same thing pitched again, but consider for a moment that you are an early adopter and not the target audience for this dumbed down messaging.

it’s good these tools are more prominent now among the wider audience.

[Beff (e/acc) @beffjezos]

First make it exist.
Then you can make it better.

[ApoStructura @ApoStructura]

Even if we accept this dumb premise that AI is pointless, does it mean we should also ban all non necessary things that use water?

Are we banning almond milk? peanuts?

[Guinness Chen @guinnesschen]

Bro it’s June 2026. Stop hand editing your prompts. Hold down the dictation button and ramble for 10 minutes. Give the model every fragment, caveat, example, and vibe in your head. It is literally a large language model. If it’s superhuman at anything, it’s reconstructing latent intent from language.

[kache @yacineMTB]

LLMs be like "theoretically you could do <the best idea ever> but that wouldn't work because <idiotic slave like opinion>"

[Al @aligator_mode]

This is the future

[Cognition @cognition]

Meet Devin Review: a reimagined interface for understanding complex PRs.

Code review tools today don’t actually make it easier to read code. Devin Review builds your comprehension and helps you stop slop.

Try without an account: https://t.co/Zzu1a3gfKF

More below 👇

[Zed @zeddotdev]

Build the simplest thing that could possibly work.

Do that repeatedly and put in the work to keep the system simple, and leave the codebase better than you found it.

[Andrej Karpathy @karpathy]

The deepest unintuitive disconnect w.r.t. psychology of ChatGPT is that it doesn't get "time to think". It has a small, fixed amount of thought for each output token. A bit like human forced to speak very fast. Asking them to produce more text is giving them more time to think.

[Charles 🎉 Frye @charles_irl]

10/10, no notes

[Brendan Dolan-Gavitt @moyix]

ChatGPT exploits a buffer overflow 😳

[Al @aligator_mode]

Hello, world!