AI has outgrown the single-chip mindset. @v_mohan_ is taking the stage to talk about what comes next, from disaggregated inference to systems built for real-world scale. May 1 | 2:15 PM Don’t miss it
COMPUTING
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Universe as Permutations: Beyond Physical Movement
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The universe is not made of things that move. It's made of permutations, some of which look like things that move.
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The 2020s Mirror 1970s but at Accelerated Speed
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The 2020s are like the 1970s, except everything happens a lot faster. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026The 2020s are like the 1970s, except everything happens a lot faster.
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Agent Latency Optimization: Router and Manager Bottlenecks
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Agreed on both. Latency depends mostly on the agent blocks, not the connections themselves (those are basically free). With a decent local model the bottleneck is inference time per agent call, so the router and manager agents dominate. Most of the 29 edges are just data
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Token Consumption Patterns: Five Biggest AI Model Drains
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10/ Know what burns the most tokens The biggest token consumers in order: long conversations, large file uploads, web search, extended thinking on every prompt, and Opus on small tasks. If you keep hitting the limit and do not know why, it is one of those five. Probably more
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Melody Humanoid Robot Achieves Lifelike Presence with 39 Degrees
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Melody: Humanoid #Robot masters 39 degrees of freedom to achieve lifelike presence
by Mrigakshi Dixit @IntEngineering Learn more: https://
bit.ly/4uauTn0 #Robotics #Technology #Engineering #Innovation -
Master Hybrid Cloud Chaos with Commvault Solutions
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Master Hybrid Cloud Chaos Now. Own the Future with @Commvault Cloud: https://
commvault.com/hybrid-cloud-s
olutions
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CUDA Memory Optimization: 511×512 vs 512×512 Performance Analysis
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Some people are misreading this — 511×511 was FASTER. It looks like at 512×512 and above it falls to another path that requires internal CudaMalloc/Free calls.
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AGI ALPHA Completes First Real Loop with Evidence Compiler
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Today, AGI ALPHA ran the First Real (RSI) Loop: Nova‑Seed → MARK → mini Sovereign → 5 real jobs → Evidence Docket → reusable compiler → vNext treatment/control improvement. From architecture to replayable evidence. GitHub Actions: https://
github.com/MontrealAI/agi
alpha-first-real-loop/actions/runs/25118498108/job/73612279861
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Mistral Launches Medium 3.5: 128B Dense Model with Vision
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Congrats to the @MistralAI team on launching Mistral Medium 3.5! This new single 128B dense text-vision model merges instruction-following, reasoning, and coding. Plus, it scored 77.6% on SWE-Bench Verified. The best models run on NVIDIA. Try it out today on