I build what others won't | Full Stack & AI Developer
Brasil
Joined November 2021
- Tweets917
- Following524
- Followers129
- Likes928
Pato retweeted
Today we're opening MillionSend, the open-source email platform, to everyone.
Resend-compatible. 2 env vars to switch.
Self-host on your own AWS SES. No plans, no caps.
Or use our cloud: 1,000,000 emails a month for $140. On Resend, that's $650.
Send one. Send a million.
Pato retweeted
Ae, fiz um mod de Fog of War pro Witcher 3 com o Opus 5.5. Testem aí quem quiser nexusmods.com/witcher3/mods/…
Recomendo começar do zero pra experimentar melhor, ele só começa a clarear a névoa do mapa a partir da instalação
Pato retweeted
Uh oh... We weren't expecting this! :D
Thank you so much, everyone!! <3
Soon, we'll be making our model open source so everyone can run it on their own computers!
Our mission is to bring high-quality AI to YOUR machine, the one you ALREADY HAVE!
tmj
Pato retweeted
You were saying something...?
yes, we classify responses 5x faster than Jev, using our own 144M-param model (Julia-1) on a 2021 i5 laptop while maintaining high accuracy.
So no, we’re not like other open-source models. And fuck no, we’re not just a game neural network.
Pato retweeted
Eikos, um modelo de decisão open source (MIT), alternativa ao Jev e ao Laya.
Sai em dois tamanhos, 4B e 27B, com versões quantizadas (FP8, INT4 e MLX para Mac).
O que muda:
• lê até 64k tokens (Laya: 1k, Jev: 32k)
• no JevBench, nível difícil: 82,9% (Jev: 73,0%, Laya: 35,1%)
• quando tem ≥90% de certeza, erra só 2,4% das vezes (Jev: 5,9%)
Eikos vem da filosofia de Aristóteles, "O provável".
Logo mais vou liberar no Hugging Face/GitHub pesos, códigos e datasets que criei sinteticamente.
Pato retweeted
‼️ ALERT: A new cPanel flaw, CVE-2026-87899, in CalDAV/CardDAV lets any logged-in cPanel account run code as root and take full control of the server.
A second flaw, CVE-2026-87900 in WP Toolkit, lets authenticated users modify databases belonging to other accounts.
🔗 Learn more → thehackernews.com/2026/09/ne…
Pato retweeted
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
