I never particularly cared about the performance of my laptop, but now I'm running my mac pro into the ground with all of these agents. We need so much more powerful compute, this is insane.
SYSTEMS
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Operationalizing AI Deployment Across Defense Cloud and Edge
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AI isn’t failing because of models; it’s failing at deployment. Join Spectro Cloud and @DominoDataLab to learn how defense teams operationalize AI across cloud, classified, and edge environments. April 28 | 1 PM ET Save your spot: https://
hubs.ly/Q04ctjBb0 Carahsoft -
CPUs Critical Infrastructure for Agentic AI Performance
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🔥 Hot take: CPUs don’t get enough credit in agentic AI.
— SambaNova (@SambaNovaAI) 23 avril 2026
They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation.
Without them, inference can’t keep up 🦾
Do you agree… pic.twitter.com/RzBjFUHACdHot take: CPUs don’t get enough credit in agentic AI. They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation. Without them, inference can’t keep up Do you agree
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Early Access to GPT-5.5 Pro Version Announced
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I had early access to GPT-5.5. It is very good, especially the Pro version. Full writeup very shortly.
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Cortex-AI Provides Unified Memory Layer Across Multiple LLM Tools
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🚨 Tired of losing your context whenever you bounce between different AI tools?
— Charly Wargnier (@DataChaz) 23 avril 2026
My friend @MSaintjour just released a cool fix 👀
Meet Cortex-AI.
→ Serves as a unified, shared memory layer across all your LLMs.
→ Connects instantly with Claude Code, Windsurf, ChatGPT, and… https://t.co/EL0iQIdcCrTired of losing your context whenever you bounce between different AI tools? My friend @MSaintjour just released a cool fix Meet Cortex-AI. → Serves as a unified, shared memory layer across all your LLMs.
→ Connects instantly with Claude Code, Windsurf, ChatGPT, and -
T3 AI Service Experiencing Performance Issues Today
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@t3dotchat T3 is very slow right now – is that normal?
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Decoupled DiLoCo Training System Enables Resilient Large Scale AI
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It's been a delight to provide small amounts of advice and suggestions to people working on the Decoupled DiLoCo training system. This approach enables graceful handling of failures in large scale training jobs, by allowing (N-1) / N units to proceed when one fails.
— Jeff Dean (@JeffDean) 23 avril 2026
Thread ⬇️ https://t.co/z97PgtNBuuIt's been a delight to provide small amounts of advice and suggestions to people working on the Decoupled DiLoCo training system. This approach enables graceful handling of failures in large scale training jobs, by allowing (N-1) / N units to proceed when one fails. Thread
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Big Development Inquiry: Integration with Inventory and Fulfillment Systems
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Andon Labs keeps scaling up what it hands to an AI.
— The Rundown AI (@TheRundownAI) 23 avril 2026
First: a vending machine at Anthropic. Then, an office building.
Two weeks ago: $100,000 and a lease in SF. An AI named Luna opened a retail store.
This week: a cafe in Stockholm. The AI (Mona) filed Swedish permits itself.… pic.twitter.com/Kbeadv3vj5Andon Labs keeps scaling up what it hands to an AI. First: a vending machine at Anthropic. Then, an office building. Two weeks ago: $100,000 and a lease in SF. An AI named Luna opened a retail store. This week: a cafe in Stockholm. The AI (Mona) filed Swedish permits itself.
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Original MIT definition of hacking: clever, playful, and benign
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Yes "The original definition of hacking, emerging from MIT in the 1950s/60s, refers to the clever, playful, and benign act of modifying or improving technology—especially computer systems—to make them more efficient. It meant finding elegant shortcuts, tinkering to understand
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LFMs Enable Speech and Reasoning Directly in Vehicle Edge
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LFMs powering speech, language understanding, and reasoning directly inside the vehicle Very exciting times for edge models!