LEADER in FRONTIER MATH T4! New record in one of the most challenging math benchmarks -FrontierMath Tier 4- where Google has just reclaimed the lead with a 47.9% !!, stealing the position from GPT 5.5 Pro It does it with its new math agent
LLMS
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New Continuous Latent Diffusion Language Model paper
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Continuous Latent Diffusion Language Model paper: https://
huggingface.co/papers/2605.06
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Global Activation Approximation for Long-Context Understanding
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MiA-Signature Approximating Global Activation for Long-Context Understanding paper:
https://huggingface.co/papers/2605.06416
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OpenAI improves remote control of Codex
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OpenAI continues working on Remote Control for Codex, which will allow it to manage remote instances via SSH. A new toggle has been added to the settings that will keep remote connections open. Someone will definitely ask Codex to fix bugs on production at some point 😛
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AI tokens wasted on shell command outputs, not code
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90% of the tokens your AI burns aren't from your code.
— AlphaSignal AI (@AlphaSignalAI) 8 mai 2026
Every shell command your agent runs returns raw output.
`git status`, `find`, and `ls` are all read by the LLM in every single run.
A single `playwright test` run dumped enough output to consume 8,100 tokens.
Two… pic.twitter.com/yX1u9lcBo290% of the tokens your AI burns aren't from your code. Every shell command your agent runs returns raw output. `git status`, `find`, and `ls` are all read by the LLM in every single run. A single `playwright test` run dumped enough output to consume 8,100 tokens. Two
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Using Claude as a personal multimedia system with custom prompts
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J’ai arrêté de payer Spotify. Résilié Netflix. Résilié Disney+. Maintenant, mon laptop est devenu un meilleur centre de divertissement…gratuitement. Grâce à Claude. Voici 8 prompts qui ont transformé l’IA en système multimédia personnel : [ Ajoutez en signet pour ne pas
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LangChain Integrates with Oracle AI Database for RAG and Agents
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@Oracle is sponsoring Interrupt! LangChain directly integrates with Oracle AI Database, helping developers build RAG and agentic applications on live enterprise data without extra vector stores or sync jobs. Stop by their booth during our agent conference to learn how to -
CogAlpha: Using LLMs as Adaptive Agents for Financial Market Analysis
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Can AI find hidden patterns in stock markets that traditional methods miss? Researchers from China Mobile and the University of Hong Kong present CogAlpha — a framework that treats large language models as adaptive cognitive agents. Instead of relying on opaque neural nets or
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Topic Identification using Gensim and Python
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Topic Identification with Gensim Library using #Python. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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LLaMA.cpp accelerates Gemma 4 runs with MTP
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Multi-Token Prediction support has been patched into LLaMA.cpp, speeding up local Gemma 4 runs!
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 mai 2026
> The team quantized Gemma 4 assistant models into GGUF and tested them on a MacBook Pro M5 Max.
Gemma 4 26B with MTP draft tokens reportedly runs around 40% faster, suggesting a… https://t.co/pskUHcjSpl pic.twitter.com/sYtbuwWm6tMulti-Token Prediction support has been patched into LLaMA.cpp, speeding up local Gemma 4 runs! > The team quantized Gemma 4 assistant models into GGUF and tested them on a MacBook Pro M5 Max. Gemma 4 26B with MTP draft tokens reportedly runs around 40% faster, suggesting a