Carl Atupem (@atupem) 's Twitter Profile
Carl Atupem

@atupem

Building desktop agents @bytebot_ai (YC S21), previously data/ml @google, iOS @apple

ID: 206661208

linkhttps://www.bytebot.ai/ calendar_today23-10-2010 12:50:30

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Daniel Raffel (@danielraffel) 's Twitter Profile Photo

Introducing Griddy a topographic drum sequencer. youtube.com/watch?v=njBghk… This is a MIDI effect plugin heavily inspired by Mutable Instruments Grids. pichenettes.github.io/mutable-instru… Made with Claude Code in about 20 minutes Mike Krieger cat Boris Cherny in C++ 🤯

Carl Atupem (@atupem) 's Twitter Profile Photo

This is gonna be absolutely crucial in the next year. Needs to be broken up into two parts of a shared phase, that rotates on some cadence

Nick (@nickbaumann_) 's Twitter Profile Photo

techcrunch reports that AI coding tools have "very negative" gross margins. i.e. they're losing money on every user. this isn't just a temporary reality while competing in the land grab, it's the market telling us that this structure doesn't work. there's a natural market

techcrunch reports that AI coding tools have "very negative" gross margins. i.e. they're losing money on every user.

this isn't just a temporary reality while competing in the land grab, it's the market telling us that this structure doesn't work.

there's a natural market
Ankur Goyal (@ankrgyl) 's Twitter Profile Photo

I've been surprised and impressed by how all of the leading agents are essentially while loops with llm + tool calls. As a systems nerd, I've always wished that AI software (even pre-LLM) were modular. I love abstractions :) But the reality is, the bitter lesson of AI systems

shadcn (@shadcn) 's Twitter Profile Photo

Went for a walk with Grok voice mode. Asked it about Jurassic Park. Got a masterclass on CGI, animatronics, and skin textures. Asked Siri to change the song: “Here’s what I found on the web.” 🤦‍♂️ Why do I even bother?

Blake Scholl 🛫 (@bscholl) 's Twitter Profile Photo

Founders have long memories. When the chips are down and the times dark, they always remember who was helpful, who was easy to work with, and who was a pain the ass. I think this pattern explains why startup investors tend to be good humans. Bad ones are ejected quickly.

Auren Hoffman (@auren) 's Twitter Profile Photo

reduce your email by 50% by just filtering these two phrases: "if you could get more qualified sales leads" and "SOC2 compliance"

roon (@tszzl) 's Twitter Profile Photo

all model companies were pretraining on the ~same internet. of course, grok has access to twitter dataset and gemini can pretrain on youtube & so on. but it's mostly the same internet otoh, rl envs will be w.e the lab chooses to prioritize. so you should expect more speciation