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@primus_labs: the confidential infra for institutional onchain finance. FHE had a wall. Primus just showed how to climb it. Traditional FHE evaluated one simple gate at a time. A 64-bit operation meant thousands of gates, and thousands of bootstrappings. That was the wall. AutoHoG changes the shape of the problem. Primus's new FHE engine automatically designs custom gates that take multiple inputs and produce multiple outputs, then folds mergeable subcircuits into a single bootstrapping. On eight consumer NVIDIA RTX 5090s, hardware you can buy off the shelf, one 64-bit confidential transfer now takes about 90 milliseconds, throughput above 210 per second, bootstrapping around 5 milliseconds. Everything runs in integer arithmetic, so nodes produce byte-identical results. A confidential operation now finishes in under a tenth of a second on off-the-shelf hardware. The gap between FHE in theory and FHE that can actually run just got a lot smaller. AutoHoG. The wall just got lower.

Luật chỉ nhận ảnh chụp bằng camera trong app của @onlystreetsfun, dự án tuần này được viết nhiều trên @rarelistio, làm mình nhớ ông thợ ảnh lấy liền ở công viên hồi nhỏ. Ông không rửa ảnh mang từ nhà tới. Muốn có ảnh thì ra đứng trước bồn hoa, cười, ông bấm, vài phút sau cầm ảnh trên tay. Bao năm sau, OnlyStreets dựng cả một launchpad trên Solana quanh đúng luật đó, chỉ thêm bước đặt tên và vài lần chạm ra coin.

Our co-founder and CEO Discus Fish (@bitfish) asked his agent for advice for the next ten years. No explanations, just advice. "Own your bare-metal compute, your private keys, and your raw data. Never rent your core sovereignty." "Audit your predictions and logic every six months. Hubris is the most expensive bug in production." And one question to take home: once you use AI well, do your 24 hours get thicker? Part 6 of 6, the last chapter of Stealing Heaven's Wisdom, his keynote at CVCF 2026 in Hong Kong. Watch the full keynote on YouTube:

joder, GitHub está lleno de cosas gratis que casi nadie está usando. los 10 repos que están explotando este mes, de lo más fácil a lo más técnico: lo que puede usar cualquiera 1. VoiceStudio: clona voces, dobla vídeos y transcribe en 646 idiomas, gratis y sin salir de tu ordenador (57K ⭐) 2. ppt-master: le pasas un PDF o un Word y te devuelve un PowerPoint de verdad, editable y con animaciones (59K ⭐) 3. gods-eye-view de @bilawalsidhu : un simulador de satélite espía en tu navegador, con aviones, barcos y cámaras reales sobre un globo 3D (50K ⭐) 4. REA: le enseñas a tu IA una función de otra app y te explica cómo está hecha, sin tener el código (65K ⭐) 5. diagram-design de @cathrynlavery : pides un diagrama con palabras y te lo dibuja con tu marca, 44 tipos (49K ⭐) 6. paperclip: como tener tu propia empresa de agentes autónomos trabajando para ti, la app open source para dirigirlos como si fueran tu plantilla (99K ⭐) para que Claude Code trabaje mejor 7. skills de @mattpocockuk : las que usa a diario un ingeniero de verdad, pequeñas y fáciles de adaptar (284K ⭐) 8. ECC: skills, memoria y seguridad en un pack para Claude Code, Codex, Cursor y OpenCode (276K ⭐) 9. andrej-karpathy-skills: un solo archivo con 4 reglas sacadas de lo que Karpathy dice que hacen mal los modelos programando (218K ⭐) 10. claude-mem: guarda lo que hizo tu agente, lo resume y se lo pasa a la siguiente sesión, para que no empiece de cero (99K ⭐) compártelo si te ha parecido interesante ♻️ y guárdalo antes de perderlo 🔖

Zinri procura Siloé e diz que sente falta da jovem. Ela, porém, pede para que o rapaz vá embora. "Eu vim pra te contar um segredo. O Onri não te merece. Aliás, ele nunca te mereceu", insiste o guerreiro. Siloé tenta expulsar Zinri e Onri chega neste momento. Os dois, então, entram em conflito. ➡️ Assista à cena completa da #SérieReis# no ou a este e demais episódios no

In 2015, AI hallucinating was the whole point. 🌀 This is DeepDream, running on VGG16. You hand a neural network an image and tell it to exaggerate whatever it thinks it sees. Then you make it do that over and over, each pass building on the last. 🔁 It finds eyes and creatures everywhere 👁️ because it learned to see from ImageNet, a dataset of 1,000 categories packed with animals (about 120 are dog breeds alone 🐕). Ten years later, the same behavior has a less fun name: hallucination. And we spend a lot of engineering effort stopping it. 🛠️ Same thing underneath, just a different job.