Alexis retweeted
"Saas is dead because customers can vibe-code their own tools."
People can cook. Restaurants still exist.
Alexis retweeted
the fact that this was written … last year … breaks my brain
There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper so I barely even touch the keyboard. I ask for the dumbest things like "decrease the padding on the sidebar by half" because I'm too lazy to find it. I "Accept All" always, I don't read the diffs anymore. When I get error messages I just copy paste them in with no comment, usually that fixes it. The code grows beyond my usual comprehension, I'd have to really read through it for a while. Sometimes the LLMs can't fix a bug so I just work around it or ask for random changes until it goes away. It's not too bad for throwaway weekend projects, but still quite amusing. I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.
Alexis retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Alexis retweeted
We @huggingface reproduced this paper!!
It's built with ML Intern, an open-source harness to do AI research, train models, and more
Model: huggingface.co/ML-Intern-lab…
Demo: huggingface.co/spaces/ML-Int…
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Alexis retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Alexis retweeted
Vous voyez qu'on peut faire du travail de qualité avec de l'IA ?
Ça demande des skills et pas mal de temps d'apprentissage
Mais c'est mieux que les AI Slop qu'on nous pond comme succès nationale ici ptdr
Alexis retweeted
On a fait de petits rajouts sur MakiSend
Si tu ne sais pas c'est quoi c'est un SaaS open source pour envoyer des e-mails transactionels à grande échelle que tu peux deployer en un clic sur ton compte CloudFlare (ça tient entièrement sur le plan free):
- Pas d'infra
- Pas de serveur
- Conçu pour gérer efficacement de gros volumes
Maintenant on a eu pas mal de retours de quelques personnes qui voulaient aussi host ça dans leur infra d'entreprise. On a donc publié une image docker, une image pour run le dashboard et l'API et toutes les features de MakiSend.
Toujours dans la simplicité. Plus de détails sur notre site 👇🏽
Alexis retweeted
The NSA built a full reverse engineering suite and gave it away for free. It's called Ghidra.
THE SAME TOOL THE NSA USES TO TAKE APART MALWARE IS OPEN SOURCE. WHAT COULD YOU TAKE APART WITH IT?
github.com/nationalsecuritya…
Alexis retweeted
" Il n'y aura pas d'IA socialiste "
Shengyu Liu, ingénieur IA de DeepSeek :









































