Generally speaking, diffusion LLMs (dLLMs) are faster than autoregressive LLMs (AR LLMs), but dLLMs can be made even faster. Nvidia researchers have proposed a Fast-dLLM. By enabling KV caching and parallel decoding, Fast-dLLM achieves training-free acceleration. Two Key
LLMS
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Optimal Rewards for Coding Agents and Real-Time RL
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A conversation on the optimal reward for coding agents, infinite context models, and real-time RL pic.twitter.com/C3R3oAzOQp
— Cursor (@cursor_ai) 29 mai 2025A conversation on the optimal reward for coding agents, infinite context models, and real-time RL
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Home Robotics Goes Mainstream in 2026 with AI Advances
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Home robotics is going to work in 2026. The intelligence explosion and massive drop in v-LLMs cost is key to having made this trend possible.
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Audio Input Gap Forces Switch to Gemini Alternative
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Lack of audio input modality is the big missing feature for us — we have to use Gemini for that.
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Gemini 2.5 Tops Another Benchmark Leaderboard
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Cool benchmark! Good to see Gemini 2.5 topping another leaderboard, though we are quite far from the summit 😅🪜🏔️ https://t.co/qxlCx2tY0V
— Oriol Vinyals (@OriolVinyalsML) 29 mai 2025Cool benchmark! Good to see Gemini 2.5 topping another leaderboard, though we are quite far from the summit
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Google Gives UK Students Access to Gemini 2.5 Pro
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Happy to share that we’re giving UK uni students access to our best models – including Gemini 2.5 Pro and NotebookLM. They’re amazing tools for research, writing, exam prep… I wish I’d had them while I was at uni 🙂 Enjoy, and good luck with this exam season! https://t.co/8LefTPbi6P
— Demis Hassabis (@demishassabis) 29 mai 2025Happy to share that we’re giving UK uni students access to our best models – including Gemini 2.5 Pro and NotebookLM. They’re amazing tools for research, writing, exam prep… I wish I’d had them while I was at uni 🙂 Enjoy, and good luck with this exam season!
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Techniques for Getting Better Feedback from Claude Opus
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Hoohah. Do you do anything particularly special to get good feedback from Opus or is it just “write the obvious prompt, get good output”?
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Distilled Qwen3-8B Model for Personal Computers
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Como ocurrió con la versión anterior, el modelo original no está pensado para existir en nuestros modestos ordenadores (es muy grande). Por eso tenéis que optar por las versiones destiladas que en esta ocasión únicamente tenemos sobre Qwen3-8B Esa es la que hay que descargar
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Large Reasoning Models Self-Training Capabilities Study
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Can Large Reasoning Models Self-Train? Shafayat et al.: https://
arxiv.org/abs/2505.21444 #ArtificialIntelligence #DeepLearning #MachineLearning -
Llama 3.2B Chatbot Running On-Device with Metis Platform
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Here's a quick demo of the #Llama 3.2B chatbot running entirely on-device with Axelera AI’s Metis platform – quick to build, and easy to do! This 3B parameter model runs real-time at 7.1 tokens/sec per core — and thanks to our quad-core architecture, you can handle 4 chatbot