Salesforce’s Anthropic Bet Hits $5 Billion
Salesforce’s stake in Anthropic has climbed to $5 billion, according to The Information. That figure marks one of the largest […]
Salesforce’s stake in Anthropic has climbed to $5 billion, according to The Information. That figure marks one of the largest […]
Most people are quietly convinced they’ll never get good at AI. They open a chatbot, type a vague question, get
I lost count of how many times I’ve typed a lazy prompt, hit enter, and then quietly hoped the AI
Small business owners pour money into ads and blame the algorithm when nothing converts. The algorithm isn’t the problem. The
Every developer eventually does the same thing. They pick one model, Claude, Codex, GPT-4, commit to it, and start building.
TL;DR: Pair any essay topic with a real-world constraint and students can’t just paste an AI answer. Every submission becomes
New data: WriteHuman AI’s built-in checker returned a 98% human score on text that Originality.ai simultaneously flagged as 100% AI.
Someone in our Slack dropped a screenshot last week. A “really good prompt” from three months back. They pasted it
Yesterday, BotCircuits shipped an open-source agent that rethinks how the agent loop actually works. The architecture looks simple at first.