Today we introduced Baichuan-M2, a medically-enhanced reasoning model, which surpasses all open-source models including gpt-oss-120b on the #HealthBench Benchmark. Try it here: https://
huggingface.co/baichuan-inc/B
aichuan-M2-32B
…
#AIHealth
MACHINE LEARNING
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Baichuan-M2: Medical Reasoning Model Surpasses Open-Source Competitors
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Meta FAIR Wins Algonauts 2025 with TRIBE Brain Modeling
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🏆 We're thrilled to announce that Meta FAIR’s Brain & AI team won 1st place at the prestigious Algonauts 2025 brain modeling competition.
— AI at Meta (@AIatMeta) 11 août 2025
Their 1B parameter model, TRIBE (Trimodal Brain Encoder), is the first deep neural network trained to predict brain responses to stimuli… pic.twitter.com/IeX5gPd8GzWe're thrilled to announce that Meta FAIR’s Brain & AI team won 1st place at the prestigious Algonauts 2025 brain modeling competition. Their 1B parameter model, TRIBE (Trimodal Brain Encoder), is the first deep neural network trained to predict brain responses to stimuli
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Access to true GPT-5 then low-cost version to handle load
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Alright folks, I've been thinking about this GPT-5 story. I think that for a month, I really had access to the real GPT-5… and that currently, it's a "low-cost" version to handle the load. My hypothesis is that maybe, in a few months, everyone will be able to
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Model Scale Reflection Applies Across All Major AI Systems
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Si lees en el tweet anterior algo en defensa de OpenAI y no una reflexión sobre las escalas de los modelos (que sirve igual para OpenAI, Grok, Gemini, o cualquier modelo open source) entonces es que no lo has entendido.
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BAIR Faculty Feature: Leading AI Researchers and Startups
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A feature of BAIR faculty @istoica05 with quotes and mentions from fellow BAIR faculty @profjoeyg
, @matei_zaharia
, @jenniferchayes
, Michael I Jordan; BAIR alumni and researchers @alighodsi
, @ml_angelopoulos
, @infwinston , Yang Zhou, @pcmoritz
, @robertnishihara
; and startups -

Machine Learning Python Book for Algorithmic Trading and Time Series
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Comprehensive 822-page book on #MachineLearning with #Python for #AlgorithmicTrading (useful in many other business & industry #TimeSeries applications): http://
amzn.to/3aCyVwY by @ml4trading ——
#IoT #IIoT #Edge #AI #DataScience #EdgeComputing #Industry40 #EdgeAI #Forecasting -

GLM-4.5: Agentic Reasoning and Coding Foundation Models
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GLM-4.5 Agentic, Reasoning, and Coding (ARC) Foundation Models
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Voost: Unified Scalable Diffusion Transformer for Bidirectional Virtual Try-On
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Voost A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
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100+ Free Step-by-Step AI Agents and RAG Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.