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From preemptive obituaries to sabotaged product reviews, we examine how models lie with confidence and what engineering can, and can’t, do about it.
We moved processing to the cloud for security. Now we’re moving it back for privacy. Spoiler: both options are terrifying.
AMD’s new PCIe accelerator exposes a big blind spot in NVIDIA’s dominant AI stack. We break down why it matters.
A deep dive into the latest uncensored Qwen3.6 27B release, exploring MTP preservation, NVFP4 quantization, and what happens when safety training gets neuro-surgically removed.
How attackers turned Hugging Face and ClawHub into launchpads for infostealers, trojans, and cryptominers, and why your trust is the exploit.
Google’s Multi-Token Prediction drafters for Gemma 4 promise 2-3x inference speedups with zero quality loss. We dive into the mechanics, the ‘tiny’ 78M-parameter secret, and what it means for local AI’s future.
A $27,142 AI food truck operator for $3.51 per run, and why Western AI pricing just became indefensible.
An investigation into how Chrome downloads the Gemini Nano model without consent, violating EU law and racking up a staggering carbon debt.
Apple’s quiet removal of high-memory Mac Studio configurations isn’t just a supply chain hiccup, it’s a strategic throttling of the local LLM ecosystem. Our investigation into the 256GB and 512GB cuts reveals a deeper, more troubling calculus.
Simon Brown’s framework is a communication marvel, but for modern, dynamic systems, its static nature can leave you flying dangerously blind at runtime.
When LLMs graduate from filling in code snippets to drafting entire system designs, we’re outsourcing theory building to statistics. The resulting systems ship fast and collapse faster.
Anthropic bought Bun. Then Claude Code started collapsing. Now what happens to your infrastructure?
