ML isn’t magic — it’s a workflow. 1. understand data 2. choose right algorithm 3. train 4. test 5. optimize 6. deploy + monitor + retrain The winners are the teams who run this loop consistently. #MachineLearning #AI #DataScience #MLops
SYSTEMS
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Kimi Proposes Solution to LLM Prefill-Decode KV Cache Transfer Problem
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A new paper just exposed how much money AI labs waste on GPUs. Running LLMs at scale hits a wall when prefill and decode share one datacenter. The KV cache transfer between them is massive. This forces expensive RDMA networks and identical hardware everywhere. Kimi proposes
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Brain Implants and Engineered Indoctrination in Future AI Societies
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Human hive minds? Sure, Conjoiners have scaled brain implants into transenlightenment since the early Mars settlements. Hyperreligion? Of course, lots of people get infected by the various strains of engineered indoctrinal viruses these days.
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GPT-5.5 XHIGH optimizes DeepSeek 4 Flash on 4x DGX Sparks
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GPT-5.5 XHIGH is working hard right now to make vLLM runs DeepSeek 4 Flash on 4x DGX Sparks It got it to load, then had it answer cohesively on the 4x Sparks (though a tad too slow) Now, it optimizes it Letting this run overnight (in an engineered-harness specifically for it)
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Local RAG AI Stack Overview on RTX 3070 8GB
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Here is a high-level overview of my Local RAG / AI Knowledge Stack All hosted locally on a single RTX 3070 8GB btw Who is interested in a more in-depth breakdown? What would you like for it to cover?
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Organizational Design for AI Agents: The Next Critical Frontier
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Organizational design for agents is hard, benchmarking agents working in concert is hard. Together, this is the next critical frontier for making AI matter in economically valuable tasks, and we really don’t know very much about it.
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Plant Documentation: Leveraging IIoT for Operational Excellence
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Should your plant's 20 years of documentation work as hard as your alarm system? @IIoT_World @CRudinschi @agentic_factory @Paul4innovating @floriansemle @sallyeaves
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Naming failure modes matters in nondeterministic AI systems
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Agree on the pattern, disagree on it being pointless… putting names on the failure modes matters more when the system is this nondeterministic.
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Structured Memory Systems for Long-Horizon LLM Behavior
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Good agent memory paper. And great insights on the benefits of structured memory for long-horizon behavior in LLMs. Why it matters: It treats memory less like search and more like a system that will need maintenance (which they often do). Flat memories are cheap to write.
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Multiplayer Launched for Vibe Coded War/Drone Sim Game
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🛜 Multiplayer for my vibe coded war/drone sim is live:https://t.co/jtocKZuIiE
— @levelsio (@levelsio) 24 avril 2026
Here's me playing with my server guy @DanielLockyer (D-Dog), we switch from soldier to launching drone and end up in a drone vs drone battle
Everything vibe coded from start to finish, I also added… https://t.co/hmH5A7FSrS pic.twitter.com/5JWrABKgcmMultiplayer for my vibe coded war/drone sim is live: http://
drone.pieter.com Here's me playing with my server guy @DanielLockyer (D-Dog), we switch from soldier to launching drone and end up in a drone vs drone battle Everything vibe coded from start to finish, I also added
