I wonder how many papers a big AI conferences like @NeurIPSConf
, @ICLR_conf
, and @ICMLconf will be largely AI written in a few years time…
LLMS
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AI-Written Papers at Major ML Conferences in Coming Years
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Understanding AI: How ChatGPT and Modern AI Tools Work
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🤖 AI can feel almost magical, but to use it well, we need to understand what it is, how it works, and where its limits really are.
— Bernard Marr (@BernardMarr) 29 avril 2026
In this video, I explain AI in simple terms, including how tools like ChatGPT, Gemini, and Copilot generate responses, why they can sound so… pic.twitter.com/4A5hQAHtwhAI can feel almost magical, but to use it well, we need to understand what it is, how it works, and where its limits really are. In this video, I explain AI in simple terms, including how tools like ChatGPT, Gemini, and Copilot generate responses, why they can sound so
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Mistral Medium 3.5: new 128B model with 256k context
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MISTRAL 🚨: Mistral AI released Mistral Medium 3.5, a 128B dense open weights model with a 256k context window and configurable reasoning effort.
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 avril 2026
Mistral Medium 3.5 is now available on Mistral Vibe and Le Chat. https://t.co/dqRPYhsfiP pic.twitter.com/dhtXYDQe0wMISTRAL : Mistral AI released Mistral Medium 3.5, a 128B dense open weights model with a 256k context window and configurable reasoning effort. Mistral Medium 3.5 is now available on Mistral Vibe and Le Chat.
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AI Agents Successfully Reproduce Social Science Research Results
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Paper: https://
elliottash.com/wp-content/upl
oads/2026/04/Kohler-Zollikofer-Einsiedler-Hoyle-Ash-Read-Paper-Write-Code-Agentic-Reproduction-Social-Science-Results.pdf
… Check out http://
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs. -
GPT-5.5 and GPT-5.4 Pricing and Credit Consumption Rates
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"It currently supports GPT-5.5 and GPT-5.4, consuming credits at 2.5x the Standard rate for GPT-5.5 and 2x the Standard rate for GPT-5.4."
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Nous Research Hermes Agent: Introduction and Overview
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If you aren't familiar with what @NousResearch
's Hermes Agent is, start here:
→ https://
hermes-agent.nousresearch.com -
Codex: Using GPT to Explain Source Code
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vibe codexer.. just give this source code to gpt 5.5 and explain what you want. https://
github.com/openai/codex/t
ree/main/codex-rs/app-server
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Attention Sink Problem in Transformer Models Explained
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Why do AI models sometimes obsess over useless words? Researchers from Tsinghua University, The University of Hong Kong, and Meituan LongCat Team present the first comprehensive survey on Attention Sink. The problem: Transformers often waste attention on a few meaningless
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Latent Agents: Distilling Multi-Agent Debate Into Single LLM
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// Latent Agents // Multi-agent debate makes models reason better. It also burns tokens generating long transcripts before any answer comes out. This new research distills the entire debate into a single LLM. Latent Agents uses a two-stage fine-tuning pipeline: the model first