Category: AI Insights
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Google’s TurboQuant Compresses AI Memory by 5x With Zero Quality Loss. Here’s What That Means.
Google just published a set of papers that could change how much memory AI models need to think. The technique is called TurboQuant, and it compresses a critical part of how large language models work by 5-6x, with essentially zero…
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The 10 Hottest GitHub Repos in March 2026: Agents Everywhere
Every month, a new wave of GitHub repos explodes from obscurity into tens of thousands of stars. Most of them are forgettable. This month? Not so much. The March 2026 trending list reads like a manifesto for the agentic AI…
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I Intercepted Cursor’s Brain: Reverse Engineering the Most Popular AI Code Editor
I pointed a LiteLLM proxy at Cursor, typed “hello,” and captured the full API trace. What came back was a 577KB JSON file containing the complete system prompt, all 16 tool definitions, model parameters, fallback chains, and the entire architecture…
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GPT-5.4 vs Opus 4.6: The Real Comparison for AI Engineers
OpenAI dropped GPT-5.4 yesterday. Anthropic shipped Opus 4.6 a month ago. Both companies published system cards thick enough to double as doorstops. And the internet, predictably, lost its collective mind trying to figure out which one is “better.” Here’s the…
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What’s Trending in AI - March 2026
Anthropic told the Pentagon to go pound sand. OpenAI picked up the phone before it stopped ringing. Alibaba dropped a model that makes last year’s frontier look quaint. Apple decided your laptop should run 70 billion parameters. And Andrej Karpathy…
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Apple’s $599 MacBook Neo: A Phone Chip in a Laptop, and Everyone Has Opinions
Apple just released the MacBook Neo, and the internet collectively lost its mind. Not because it’s bad. Not because it’s good. Because it’s confusing. A $599 MacBook with an A18 Pro chip (the one from the iPhone 16 Pro), 8GB…