How you know you're getting older: the "dragon book" was published nearly forty years ago. https://
shorturl.at/DswlP
COMPUTING
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The Dragon Book: Four Decades of Compiler Design Legacy
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CPU Shortage in AI: Less Extreme Than Memory Crisis
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and yes – we even talk about the cpu shortage! just less extreme than memory.
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Perplexity launches a revolutionary multi-model system
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BREAKING 🚨: PERPLEXITY LAUNCHES PERPLEXITY COMPUTER, A NEW MULTI-MODEL SYSTEM THAT CAN SOLVE TASKS END-TO-END!
— 🚨 AI News | TestingCatalog (@testingcatalog) 25 février 2026
"In total, Computer can route work across 19 different models."
"Perplexity Computer uses usage‑based pricing with optional sub‑agent model selection and spending… https://t.co/ZU7i1COScu pic.twitter.com/v0Ln3k7ZqtBREAKING: PERPLEXITY LAUNCHES PERPLEXITY COMPUTER, A NEW MULTI-MODEL SYSTEM THAT CAN SOLVE TASKS END-TO-END! "In total, Computer can route work across 19 different models." "Perplexity Computer uses usage-based pricing with optional sub-agent model selection and spending"
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Edge Control: Ultra-Low Latency Data Processing at Network Edge
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What if critical data didn’t have to travel far to support faster, more responsive decisions? That's what's possible with Edge Control from @TMobileBusiness. Traditional networks backhaul data through multiple hops, adding latency, security risks, and costs. For AI manufacturing, remote ops, or diagnostics, those delays can be deal-breakers. Edge Control creates a local "breakout" at the network edge; routing traffic closer to where work happens: 1️⃣Ultra-low latency for split-second decisions 2️⃣Local data processing for compliance & control 3️⃣Enhanced security via reduced routing complexity All of this is centrally managed through T-Platform, T-Mobile’s unified portal that gives teams a single place to see and control every Edge Control deployment and other T-Mobile for Business solutions. "Networks should accelerate ambition, not hold it back." – @MoKatibeh, @TMobile CMO Transform your operations: bit.ly/3YHvkY9 @TMobileBusiness Partner #EdgeControl
→ View original post on X — @yuhelenyu, 2026-02-25 16:15 UTC
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Frame Rate vs Bit Rate: Motion Compression Trade-offs in Video
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Increasing the frame rate doesn’t increase the bit rate at the same rate, because smaller motion between frames compresses better. You could give them exactly the same bit rate and have almost no difference. It isn’t zero, so a talking head video might trade off ok, but anything
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Supercomputing for AI — Foundations, Architectures, and Scaling
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Supercomputing for AI — Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Read it online: https://
jorditorresbcn.github.io/supercomputing
-for-ai-book/
… Buy it: https://
amzn.to/4qS4pFz GitHub repo: https://
github.com/jorditorresBCN
/supercomputing-for-ai
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The Hidden Truth Behind 2026’s Massive Context Windows
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Everyone's bragging about 200k, 1M, even 10M token context windows in 2026. Nobody's talking about what actually happens inside them. I just fell down this rabbit hole and I can't stop thinking about it: A new paper published January 2026 tested hundreds of thousands of data
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Full motion transformer trained in 3 days on 128GPUs at 10000x speed
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This full motion transformer was trained in 3 days on 128GPU at 10.000x faster than wall clock speed.
— Linus ✦ Ekenstam (@LinusEkenstam) 25 février 2026
in english: this AI model controls the motion of the robot.
It supports, text to command, remote teleportation and much more.
Amazing work by Jim Fan et al. 🫰 https://t.co/ynXhrNwu5iThis full motion transformer was trained in 3 days on 128GPU at 10.000x faster than wall clock speed. in english: this AI model controls the motion of the robot. It supports, text to command, remote teleportation and much more. Amazing work by Jim Fan et al.
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Multi-agent system builds from YouTube tutorials autonomously
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This guy literally built a multi-agent orchestration system with Opus 4.6 to watch YouTube tutorials and execute them autonomously 😳 pic.twitter.com/hZYy1QkruD
— God of Prompt (@godofprompt) 24 février 2026This guy literally built a multi-agent orchestration system with Opus 4.6 to watch YouTube tutorials and execute them autonomously
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Meta signs deal with AMD for 6GW of AI capacity
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Meta has signed a deal with AMD to add 6GW of data center capacity to Meta’s global infrastructure. “We’re scaling our compute capacity to accelerate the development of cutting-edge AI models and deliver personal superintelligence to billions around the world.”