More than half of new articles on the internet are being written by AI – is human writing headed for extinction?
#AI #AIio #AIInnovation #ML #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr
LLMS
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AI Writing Over Half New Internet Articles Human Future Risk
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GPT-5.5 Delivers Significant Vibe Shift in Capabilities
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It reads like they really made a vibe change with GPT-5.5. I can confirm that.
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TRINITY: Evolved LLM Coordinator Orchestrates Specialized AI Team
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What if instead of building one giant AI, we evolved a coordinator to orchestrate a diverse team of specialized AIs? Excited to share our new paper: “TRINITY: An Evolved LLM Coordinator”, published as a conference paper at #ICLR2026! Paper: https://
arxiv.org/abs/2512.04695 In -
Internet Scale Content Creation Enabled Early LLM Development
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We needed internet scale of content creation before we could have gotten enough data for the very primitive LLMs to be actually useful.
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Backend performance gains outpace frontend optimization progress
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we still get looksmaxxed on frontend a little but we IQmog hard now
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Open-source tool compresses outputs to cut Claude Code costs
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This tool makes Claude Code 90% cheaper. It sits between your AI and the terminal, compressing command outputs before they reach the context. Works with Claude Code, Cursor, Gemini, Codex, and Copilot. 100% Open Source. Link below
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Hyperloop Transformers: Memory-Efficient LLM via Looped Architecture
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"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
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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.