It enables agents to securely see inside your organization’s visual data, unlocking the automation of tedious tasks involving slides, diagrams, PDFs, and photos.
AGENTS
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DataRobot Launches Agent Workforce Platform with NVIDIA Support
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🚨 Just launched: DataRobot announces Agent Workforce Platform built with @NVIDIA.
— DataRobot (@DataRobot) 31 juillet 2025
✅ Built for enterprise agents
✅ Cloud, on-prem, or hybrid
✅ Full lifecycle control
Read more: https://t.co/CPshkcZkCd #AI #agenticAI #NVIDIA pic.twitter.com/DSI544GEiAJust launched: DataRobot announces Agent Workforce Platform built with @NVIDIA
. Built for enterprise agents Cloud, on-prem, or hybrid Full lifecycle control Read more: https://
bit.ly/3H95tDj #AI #agenticAI #NVIDIA -
Specialized Robots Over Generalist Humanoids: The Rube Goldberg Approach
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Humanoids are sterile, same, mass, minimalist. Jacks of all trades, masters of none. Instead, we need menageries of exquisitely complex contraptions purpose-built for any and every task at hand. We need to be Rube Goldberg maxxxxing.
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Meta’s superintelligence vision and top AI developments today
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Top stories in AI today: – Meta's ‘personal superintelligence’ vision
– 'Netflix of AI' launches with Amazon backing
– Create marketing videos with agents
– Google’s ‘virtual satellite’ for planet mapping
– 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/mark-zuckerb
ergs-personal-superintelligence-vision
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Neo AI launches NEO agentic machine learning engineer with sub-agents
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Neo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents
— The Rundown AI (@TheRundownAI) 31 juillet 2025
It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoringpic.twitter.com/ofFAtGLGMtNeo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoring
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Subscribe to Weekly AI Engineering Tutorials and Open Source Repos
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If you're interested in ML, LLMs, and AI agents and want to receive weekly tutorials and open-source repos, subscribe to AI Engineering (it's free):
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RL Model Training Made Accessible for Developers
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You literally can’t be too lazy to train a model with RL with this approach No excuses anymore Go build!
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Multi-Agent Systems: Honesty in Prompting and Post-Training Efficiency
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(i'm just memeing, no harm meant, multi agents is obviously the way, per https://t.co/dYMgFl7bFw , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient…
— swyx 🐣 (@swyx) 30 juillet 2025(i'm just memeing, no harm meant, multi agents is obviously the way, per https://
x.com/latentspacepod
/status/1939848051847491652
… , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient -
Writing RL Agent from Scratch Without Prior Code
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It was a fun exercise recently to just open up a completely blank file and write an RL agent from scratch, without looking at any of my prior code. There is a point of scale where rewriting things from scratch is a bad idea, but it is a blessing when you can! By “from scratch” I