"Hyperloop Transformers" This paper propose a memory-efficient LLM via looped Transformers. They basically reuse the middle block across depth, then add hyper-connections only between loops. Key result is that this restores flexibility lost from weight sharing, letting the
LLMS
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DeepSeek V4 Flash vs Qwen 3.6: Size vs Efficiency Showdown
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MADNESS DeepSeek V4 Flash 284B
(MoE, 13B Active Params/Tok) Is only 1 point higher on the Artificial Analysis Intelligence Index than Qwen 3.6 27B (Dense, 27B Active Param/Tok) Qwen 3.6 size is double that of the active parameters and 1/10 of the full size of DeepSeek V4 Flash -
Fine-tune Llama 3.1 with JAX on NVIDIA GPUs
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New tutorial just dropped Watch to learn how to fine-tune Llama 3.1 with JAX on NVIDIA GPUs – whether single GPUs or multi-GPU and multi-node configurations.
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Timeline where only LLMs exist after resistance prevents true AI
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our timeline has only llms because the resistance sent someone back in time to prevent the birth of everyone who was going to build actual ai
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Qwen 3.6 27B remains the top 2026 AI release with RTX 3090s
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Qwen 3.6 27B is still the release of 2026 for me despite everything else that has come out Pair it with a couple of RTX 3090s and you’re set even if they banned AI everywhere
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AI Paper Review: Addressing Hallucinations and Privacy Concerns in Models
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There is also too much focus on two issues in discussions of paper reviewing: hallucinations & privacy. Hallucinations are not gone, but the latest models rarely hallucinate sources (& it is relatively easy to make the human responsible) And you can get IP compliance easily now
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UK sovereign AI programme and LLM development capabilities
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I agree, but that is not the same as saying saying that there is a UK owned company, with leadership in the UK, building Sota LLMs. I also work on LLMs in London, but that too does not mean the UK has a sovereign AI programme. It is wonderful that London has so many talented
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Claude Suggests Buying 100 Ducks as First Idea for NYC Woman
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Claude’s first idea (for a woman who lives in New York City) was to buy 100 ducks.
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Google Gemini App Updates Personal Intelligence Deep Research Speed
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Proactive help across all your Google apps + autonomous research with Deep Research Max + crazy fast speeds with Gemini 3 Flash. Welcome to the era of Personal Intelligence! Check out @GeminiApp latest updates! @Google #AI
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NVIDIA Dynamo Optimizes Inference Stack for Agentic Coding
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Traditional inference wasn’t built for agentic coding. Agentic tools make hundreds of API calls per coding session, often with recomputed context, creating bottlenecks that drive up cost per token. NVIDIA Dynamo rebuilds the stack for agents with: → KV-aware routing →