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GLM 5.3-flash released last week, and that means Project Glasswing and Daybreak are running out of time. Cheap models capable of dangerous hacking are now available to anyone, without the normal safeguards for refusing
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io and already used in HuggingFace's Grout inference engine and mistral
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By carefully tuning algorithms to meet the specific requirements of each application, developers can ensure that AI solutions perform optimally in terms of speed, accuracy, and resource consumption
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Beating latent diffusion models with pixel-space encoder-decoders
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Linum v2 was bottlenecked by the enormous size of its attention context window. A 720p, 5 second clip cost a whopping 110K tokens. To put that in perspective, LLMs see
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collaboration in the OpenAI / Hugging Face hacking incident - METR
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El Okapi: Parecido a una Jirafa, pero no lo es
El okapi es un pariente lejano de la jirafa y habita en las selvas de la República Democrática del Congo
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Il réalise ensuite « Nicéphore Vaucanson » pour Okapi
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Over the past few months I have been playing around quite a bit with LLM agents, particularly for vulnerability research.
They are becoming surprisingly good at navigating large codebases, explaining unfamiliar subsystems and helping
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It's collaboration between Tom Casciato and Kathleen Hughes, the filmmakers at Okapi Productions; and the Schumann Media Center that I head
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yaml `hf_abcdefghijklmnopqrstuvwxyz123456` (replace with <your-huggingface-token>)
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