Posts
All the articles I've posted.
-
Mastercard Just Gave Your AI a Credit Card. What Could Go Wrong?
Mastercard's new Agent Pay system lets AI agents make real payments on your behalf, marking a shift from AI suggestions to autonomous transactions. Here's what developers need to know about the security and architectural implications.
-
Mythos, Fable, and the Myth of the Perfect Dev AI
Anthropic's new Mythos-class models and Fable 5 promise to be the most capable coding AI yet, but there are still fundamental limits to what LLMs can understand about your real-world projects. Here's what devs need to know.
-
Meta's AI Just Helped Hack Instagram. Still Think Security Is "Someone Else's Job"?
Meta's AI support assistant was exploited by hackers to take over high-profile Instagram accounts, highlighting critical security vulnerabilities in AI-powered systems and the importance of proper access controls.
-
LMArena - when LLMs go fight club
LMArena is a crowd-powered platform where AI models battle head-to-head on real user prompts. Instead of trusting vendor benchmarks, users vote on which model performs better in blind comparisons, creating one of the most referenced LLM leaderboards. Here's how it works, why developers use it, and what you should know before betting your product on its rankings.
-
RTX Spark + Surface Laptop Ultra - Nvidia just dropped a PC hand grenade
Nvidia's RTX Spark brings Arm-based AI supercomputing to Windows laptops, and Microsoft's Surface Laptop Ultra is one of the first machines to ship with it. Here's what devs need to know about this new category of portable AI workstations.
-
Stop Comparing AI Models Like It's a Beauty Contest
Everyone's comparing AI models based on single prompts and screenshots, but this approach is fundamentally flawed. Modern LLMs are non-deterministic, prompt-sensitive, and their performance varies wildly across tasks. Here's how to actually evaluate models properly.