Esta herramienta elimina la censura de los LLM con un solo clic. Se llama Obliteratus. Identifica los pesos exactos que obligan a un modelo a rechazar y los proyecta hacia afuera con un solo clic. 100% Código Abierto.
LLMS
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Europe should adopt Chinese open source AI models instead
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Europe should use a good Chinese open source model instead. Michał Podlewski (@trajektoriePL) Europe's best AI model is ranked 74th on lmarena. — https://nitter.net/trajektoriePL/status/2042505181904978099#m
→ View original post on X — @kimmonismus, 2026-04-10 11:34 UTC
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HyperMem: New Memory Architecture for Long Conversations
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A new paper has been released, HyperMem, a memory architecture for long conversations. The goal is to enable dialogue systems to better preserve, organize, and retrieve long-term memories, avoiding the fragmentation of relevant information in traditional RAG or ordinary
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OpenSWE Uses DeepAgents Under the Hood for Coding
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Open swe uses deepagents under the hood Deepagents is general purpose, openswe is focused on coding
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Laurent Alexandre Warns Assembly: Claude Opus Surpasses Human Intelligence
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Laurent Alexandre auditionné devant la Mission d'information sur l'IA à l'Assemblée.
— VISION IA (@vision_ia) 10 avril 2026
"Il faut sortir du déni et arrêter d'écouter Luc Julia."
"Claude Opus est beaucoup plus intelligent que moi, il m'écrabouille en médecine."
"Il y a vraiment le feu au lac et notre réflexion… https://t.co/aLjdUMhgCOLaurent Alexandre testifies before the AI Information Mission at the Assembly. "We need to snap out of denial and stop listening to Luc Julia." "Claude Opus is way smarter than me; it crushes me in medicine." "There's really a fire at the lake, and our thinking is way too
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DMax: Aggressive Parallel Decoding for Distributed Language Models
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DMax: Aggressive Parallel Decoding for dLLMs Paper: https://
huggingface.co/papers/2604.08
302
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Code: https://
github.com/czg1225/DMax
Models: https://
huggingface.co/collections/Zi
geng/dmax-models
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Datasets: https://
huggingface.co/collections/Zi
geng/dmax-training-data
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DMax: Aggressive Parallel Decoding for Diffusion Language Models
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Wow, really fast!
— 机器之心 JIQIZHIXIN (@jiqizhixin) 10 avril 2026
Researchers at the National University of Singapore present DMax!
This new paradigm for diffusion language models (dLLMs) enables aggressive parallel decoding.
It cleverly mitigates error accumulation by reforming decoding as a progressive self-refinement… pic.twitter.com/T7ZS5jO4srWow, really fast! Researchers at the National University of Singapore present DMax! This new paradigm for diffusion language models (dLLMs) enables aggressive parallel decoding. It cleverly mitigates error accumulation by reforming decoding as a progressive self-refinement
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Liquid AI Releases 34 Slides on Edge Model Design Training
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I'm releasing the 34 slides on how we design and train best-in-class edge models at @liquidai I presented these slides yesterday at @aiDotEngineer They cover model architecture, pre-training, scaling laws, post-training, and even a solution to fix doom loops Special thanks to
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AI Generates Website Content From Thousands of X Posts
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My AI is reading everyone in AI here on X and it's amazing: https://
alignednews.com/ai It generated every word on that site after reading tens of thousands of posts here on X. -
The Evolution of Software Development From Code to Natural Language
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The old model was simple:
you had an idea,
then translated it into syntax,
then fought the tooling until it worked. The new model looks very different: → describe the app in plain language
→ generate the interface, logic, and structure
→ test it
→ refine it through feedback