Proud to partner with @G42ai and @mbzuai (Mohamed bin Zayed University of Artificial Intelligence) to deliver a national-scale AI supercomputer in India with 8 exaflops of compute capacity. This cluster is designed to support researchers, startups, enterprises, and government
SYSTEMS
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AI Agent Index: 1350 Data Fields on 30 State-of-the-Art Systems
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The AI Agent Index collected 1350 fields of information on 30 state-of-the-art systems. Check out the website for more findings & data: https://
bit.ly/4cDR0wl For questions or other inquiries, contact @StephenLCasper (scasper@mit.edu) & @LeonStaufer (lets2@cam.ac.uk). -
Internal Agents Communicate Tasks via Markdown Mail Files
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Our internal agents send "mail" to each other to hand off tasks, where "mail" are big md files…
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Dynamic Multi-Agent Systems with Population Growth and Adaptation
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Interesting new work on dynamic multi-agent systems. Traditional multi-agent RL assumes a fixed number of agents. But real-world scenarios often involve populations that grow, split, or shrink dynamically, such as cell division, team expansion, or organizational scaling.
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Recursive Tape for Variable-Length Symbolic Model Computations
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The model needs some recursive tape to perform variable-length symbolic computations. You could do this with activations, but it's somewhat nice to be able to read the trace. Then we need it to actually move purposefully, and use that tape well.
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Data Drift vs Process Drift in Industrial AI Operations
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In industrial AI, there is a major difference between data drift and process drift. While data drift focuses on changes in input information, process drift is about the physical reality of the operation shifting over time.
— Lucian Fogoros (@fogoros) 19 février 2026
The orchestration layer handles this by coordinating the… pic.twitter.com/wrwHDy7qP3In industrial AI, there is a major difference between data drift and process drift. While data drift focuses on changes in input information, process drift is about the physical reality of the operation shifting over time.
The orchestration layer handles this by coordinating the -
Ultra dangerous system: 3 whitelisted users, separate branches, full review
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It is 100% ultra dangerous and sensitive to hacking. That's why we have only 3 whitelisted Power users for automatic processing. The AIs have separate branches. Our dev branches are separate and protected. And we review everything.
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From Project to Platform: Data as Permanent Asset
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The shift from project to platform is the only way to survive the industrial data paradox. A project has an end date, but a platform is a living capability. When you stop building for one specific use case and start building for adaptability, your data becomes a permanent asset
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AlphaMath system autonomously rederives mathematical theorems
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My AlphaMath system rederived every theorem ever proved in a few hours, but they were lost in a vast sea of meaningless ones.
