The latest breakthroughs in foundational models, reasoning capabilities, and prompt engineering from OpenAI, Anthropic, Google, and open-source challengers.
Anthropic just unleashed Claude Mythos Preview, a model that hunts zero-days like a pro. But as a 20-year vet, I'm asking: who's really safe when AI turns black-hat overnight?
Your Android phone just got a surprise guest: Google's Gemini AI, slipping into WhatsApp and other apps despite your settings. Unless you move fast, it's reading your data – with humans reviewing it.
Your AI buddy doesn't just parrot phrases—it generalizes like a human because of one old trick: turning words into numbers. But who's really cashing in on this 20-year-old pivot?
Your next AI inference bill? It's fattened by billions of do-nothing parameters. Time to diet these obese models before compute costs bankrupt us all.
Anthropic just unleashed a 60-question practice exam for the Claude Certified Architect cert. It's brutal, explanatory, and a signal they're gunning for your enterprise AI budget—whether you're ready or not.
IBM's survey nails it: every organization they asked had to kill or pause a GenAI project. Reason? Skyrocketing compute costs that turn pilots into fiscal nightmares.
Everyone figured closed giants like OpenAI and Anthropic owned coding AI forever. Then GLM-5.1 — open, cheap, MIT-licensed — hits #1 on SWE-Bench Pro, rewriting the script.
Twist the temperature knob on any LLM, and watch predictability shatter into poetry or nonsense. It's not magic; it's math controlling your AI's inner chaos.
Forget firing up separate apps. ChatGPT's built-in image gen turns words into visuals in seconds, but only if you master the prompts. Here's the real how-to that pros overlook.
U.S. docs clock two hours on EHRs for every patient hour—OpenAI's new tool vows to slash that. But after 20 years watching Valley hype, I'm not holding my breath.
Customer success pros drown in notes and follow-ups. ChatGPT promises relief—but does it deliver, or just mask deeper flaws?
80% of ChatGPT users never tweak a single setting, per OpenAI stats. That's like driving a Ferrari in first gear. Time to personalize—or bail.