Two things are true:
(1) Anthropic (or parts of it) are absolutely and sincerely worried about the misuse of Mythos-class models & have put in excessive safeguards until they are confident it will not be misused
(2) They have not succeeded in explaining/convincing people of this
AI
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Anthropic fears Mythos misuse, fails to explain safeguards
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Shift from Isolated Security to Holistic AI Governance Frameworks
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The shift we're seeing is from isolated security measures to holistic governance frameworks. The real question isn't just ownership, but how to implement a unified strategy for AI security that integrates across all teams. Effective orchestration will be key to maintaining
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AI Framework Creates Shadow Art from Object Scans
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Framework generates 'shadow art' from scan of any object
by Tom Fleischman @TechXplore_com Learn more: https://
bit.ly/4uYO5VB #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
@clementdelangue — 2026-06-11
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HF est devenu la meilleure plateforme de stockage pour les modèles et les jeux de données PRIVÉS et PUBLICS, qu'ils soient intermédiaires ou finaux ! Excellent exemple de @heyjasperai qui a utilisé les buckets HF pour stocker leur jeu de données Monet et entraîner des modèles
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Deep AI, Questioning the Status Quo, Human Purpose
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Our CEO Jensen Huang on the opportunity ahead: use AI deeply, challenge the status quo, and stay focused on the human purpose behind the work.
— NVIDIA (@nvidia) 11 juin 2026
Every job has tasks. People give those tasks purpose, and AI can help turn that purpose into greater impact. pic.twitter.com/al0ghqrqvLOur CEO Jensen Huang on the coming opportunity: using deep AI, questioning the status quo, and staying focused on the human purpose behind the work. Every job has tasks. People give meaning to those tasks, and AI can help transform
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Sold-out New York premiere of Runway AI Festival tonight
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The sold out New York premiere of the 2026 Runway AI Festival is tonight. See you at the movies. pic.twitter.com/l5niWgMMzb
— Runway (@runwayml) 11 juin 2026The sold out New York premiere of the 2026 Runway AI Festival is tonight. See you at the movies.
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Speculative decoding makes LLMs 8.5x faster without accuracy loss
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Researchers found a way to make LLMs 8.5x faster!
— Akshay 🚀 (@akshay_pachaar) 11 juin 2026
(without compromising accuracy)
Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference.
A small "draft" model first generates the next several tokens, then the large… https://t.co/JCdqjCKcKU pic.twitter.com/HbKmRqdF5PResearchers found a way to make LLMs 8.5x faster! (without compromising accuracy) Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference. A small "draft" model first generates the next several tokens, then the large
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Open weights frontier models may cease due to regulation or corporate closure
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I honestly don't understand the assumption that there will be continued open weights models. At some point, China will regulate release of Mythos-class models or the companies making open weights models will switch to closed. There will still be open weights, just not frontier.
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Argument for continued open frontier models: profitability and safety
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Has anyone clearly laid out an argument for continued availability of frontier open weights models that are (1) profitable for firms to distribute free as costs rise & (2) safe enough post-Mythos that governments will not intervene to stop their nations labs from distributing?
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NvidiaAI showcases snug image and asks about Nemotron Omni
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look at them all snug in there! And let us know what you think of Nemotron Omni.