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  • Tänään tehtiin seitsenvuotiaan kanssa matematiikan kotitehtäviä. Hävisin.

  • Elon Musk Is Trying to Buy the Midterms, and He Doesn’t Care Who Knows It | The Political Scene

  • Malware reverse-engineering: solving an out-of-distribution investigation task. When faced with an unknown binary, Mistral Large 4 reverse-engineers it end-to-end. In this case, it concludes the sample is Cobalt Strike, extracts the IoCs and malware configuration, and writes a report with a YARA rule to catch future incidents. A task that could take a day's work, completed in 12 minutes.

  • Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.

  • The Ballon d'Or, legal division: On Harvey's Legal Agent Benchmark (LAB), Mistral Large 4 is the #1 oss model.

  • Gmail. Google Sheets. Slack. Salesforce. i.e. the four horsemen of Monday. On AutomationBench, Mistral Large 4 took on 657 business workflows across simulated workplace apps, all four included, finishing ahead of Kimi K3, MiMo-V2.6-Pro and DeepSeek V4 Pro.

  • Le Chonk cooked on visual grounding. Pinpoints exactly where things are in an image. 42% on Dense 200, ahead of even frontier closed models..

  • Vision for engineering, manufacturing, and earth observation. Checks mechanical parts, pulls evidence from PDFs, scans gigapixel satellite imagery for the hardest-to-find objects. Bon appétit.

  • Engineering drawings: Mistral Large 4 zooms, inspects, verifies. Until the answer is exact.

  • RT: @HelloSurgeAI 🇫🇷 Le Chonk joins the sudo L7 leaderboard 🇫🇷 We just added @MistralAI's Mistral Large 4 to sudo L7, our benchmark for staff-level software engineering. Mistral Large 4 scores 13.3%, ahead of Muse Spark 1.3 (12.2%) and Grok 4.7 (10.6%). sudo L7 tests whether coding agents can go beyond writing correct code to exercise the judgment of experienced engineers: navigating messy systems, spotting hidden risks, and knowing when technically correct code is still the wrong thing...

  • Look up! Mistral models are in orbit 🌍. Proud to join @orbitworksspace and @LoftOrbital's first-of-its-kind AI satellite constellation with @NVIDIAAIInfra.

  • Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.

  • What can large-scale AI models bring to the growing complexity of particle physics? @CERN and Mistral join forces to explore this question. The ambition: a single Large Physics Model, trained on billions of simulated collisions.

  • Designed to support multiple tasks: - reconstructing particle collisions - identifying particles - flagging unexpected signals - evaluating future detector designs

  • Turns out le Chonk is into rocket science. Mistral Large 4 scoring well in engineering and astronomy on Ulam’s private benchmark, STEMBench: https://www.ulam.ai/stembench

  • Voxtral 3 also introduces a voice agent SDK, built on LiveKit. Transcribe listens, a reasoning model thinks and calls tools, and Speech replies, streamed as one pipeline for natural, intelligent conversation.

  • More here: https://mistral.ai/news/voxtral-3

  • Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵

  • RT: @noctus91 Can an STT model make sense of a 135 year old recording? I tested @MistralAI new Voxtral transcription model on a noisy French phonograph recording of Gustave Eiffel from 1891. It matched 100 of 107 words in INA’s published excerpts (6.5% WER), while transcribing 75 additional words omitted from the reference. It handled Eiffel’s dictation well but struggled with proper names and some guest dialogue. A fascinating test of modern speech recognition on audio from 1891.

  • Today we’re announcing a new collaboration with @nvidia to bring AI to industrial engineering: - faster simulation - open benchmarks and supporting datasets for physics AI - evaluations for agentic AI in CAE and EDA More here: https://mistral.ai/news/mistral-nvidia-ai-for-industrial-engineering

  • Voxtral Mini Transcribe 3 ranks #2 on Voice Arena’s Diarization + ASR leaderboard.

  • Církevní audit odhalil nevýhodné smlouvy, kvůli kterým pražské arcibiskupství přišlo o stovky milionů korun. Kdo je pod problematickými dohodami podepsaný? A jaké kauzy třaskavý audit odhalil? Ve Studiu N odpovídá redaktor Prokop Vodrážka. 👉🏼 herohero.co/studion

  • Zatímco slovenská Adéla dobývá svět, české festivaly hledají rovnováhu mezi odvážnou dramaturgií a sázkou na jistotu a kluby bojují o přežití. Co se děje s hudební scénou? Čerstvé Studio N s redaktorem kulturní rubriky Deníku N Tomášem Macou. 👉🏼 herohero.co/studion

  • Zkrácení prázdnin, konec devátých tříd nebo zákaz mobilů. Některé návrhy se ukázaly jako vypuštěné balonky, jiné Babišova vláda myslí vážně. Co by změny znamenaly pro děti, rodiče i samotné školy? Ve Studiu N odpovídá psycholožka Vlaďka Bartáková. 👉🏼 herohero.co/studion

  • Chystá se Putin napadnout Pobaltí a Polsko? Co ukázala dezinformační kampaň kolem takzvané Akce Těšínsko? A proč Rusko zatím nemá důvod válku na Ukrajině ukončovat? Ve Studiu N odpovídá válečná reportérka Petra Procházková. 👉🏼 herohero.co/studion

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