Smart grids require platforms that can handle telemetry from distributed energy resources at unprecedented scale and speed.
SYSTEMS
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Index Trap: How Database Fixes Create Hidden Write Load
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Most database slowdowns don’t start with an outage. They start with a “fix.” You add an index.
Queries get faster.
Dashboards recover. Everyone moves on. But at scale, every new index quietly multiplies your write load. This is the index trap I discussed with @TigerDatabase
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Meta’s Neural Computer Model Runs Computation and Memory Internally
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/2 Meta presents Neural Computer, a model that runs computation, memory, and I/O inside one learned system Meta AI proposes a shift from models that use computers to models that act as computers. Instead of calling APIs or tools, the model executes tasks directly from learned
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MiniMax M2.7 on 4x DGX Sparks with vLLM and OpenCode
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MiniMax M2.7 at home running on 4x DGX Sparks
— Ahmad (@TheAhmadOsman) 12 avril 2026
vLLM serving full BF16 weights, 200k context
OpenCode having the model monitor its own hardware and report thermals, tokens/sec, TTFT, and other runtime stats in real time
What benchmarks / workflows / things do you wanna see next? https://t.co/iCR8UsLs8E pic.twitter.com/I04c7j6UkgMiniMax M2.7 at home running on 4x DGX Sparks vLLM serving full BF16 weights, 200k context OpenCode having the model monitor its own hardware and report thermals, tokens/sec, TTFT, and other runtime stats in real time What benchmarks / workflows / things do you wanna see next?
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Transient Devices Bypass Air Gap Security in Control Networks
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Transient devices like vendor laptops plugged directly into control networks bypass the air gap entirely. The phone charging incident falls into this category with zero malicious intent.
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AI System Consistency and Context Complexity Trade-offs
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Thanks for the clarification! Your analogy about saving the stranger vs saving the dog makes a lot of sense. This is my non-expert POV, but I’ve been wondering if agentic behavior becomes less consistent as systems become more complex and are given more context. And does that
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Advanced Autonomous Agents Interacting With Physical World Mid-2030s
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I see this as a route for advanced autonomous agentic AI (neurosymbolic & neuromorphic) to experience and interact with the physical world in the mid 2030s onwards
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Open Memory Standards for AI Agents Emerging
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Directionally correct Open memory standards will need to emerge But it’s so early right now. We’re still just figuring out what best practices are. And so a lot is at the mercy of harnesses Agents.md and skills are great start though
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Systems require continuous learning for improvement
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Totally agree about the whole system needing to continually learn
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Logistics Automation: Beyond Cost Reduction to System-Wide Effects
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Lower delivery costs sound like pure progress. 10,000+ unmanned vehicles and ultra-cheap last-mile pricing within 30km is impressive. But cost reduction is only one side of the equation. What happens when logistics becomes this cheap? Volume increases. Delivery frequency rises. Urban traffic patterns change. And the system becomes more dependent on continuous, automated flows. There are also practical questions: How do these vehicles perform in dense, unpredictable environments? What happens at scale when edge cases become daily cases? Where does responsibility sit when something goes wrong? Efficiency is real. But so are the second-order effects. The transformation of logistics isn’t just about cheaper delivery. It’s about how systems behave when friction approaches zero. #Logistics #Automation #AI #Innovation #SupplyChain Source 🙏 @sutoroveli_news
→ View original post on X — @mvollmer1, 2026-04-12 09:53 UTC