A guide to AI for dentists: administrative drafting vs validated clinical AI, imaging support, HIPAA and privacy cautions, how to evaluate clinical tools, and the tasks that stay human.
A beginner’s AI career path: learn the fundamentals, understand how models learn, publish a few real projects, and apply to entry-level roles with proof in hand.
A June 2026 US executive order created a pre-release review process for ‘covered frontier models,’ with a classified threshold and a ~30-day access window. What it does, what stays secret, and why it matters.
OpenAI’s unreleased Astra model reportedly solved ten open math problems, including a non-sofic group, and published verifiable Lean proofs. The claims, caveats, and why it matters.
DeepSeek V4-Flash-0731 is an official, open-weight, MIT-licensed MoE model with a 1M-token context, tuned for agents and coding, at about $0.14 per million input tokens. Specs, benchmarks, and why open weights plus low prices pressure the closed labs.
OpenAI cut GPT-5.6 Luna 80% on input three weeks after launch, part of a broad AI price war driven by cheap open-weight rivals. What changed across Sol, Terra, and Luna, and how to cut your AI costs.
Coursiv and Prezi are starting a content collaboration focused on practical AI presentation skills. The first phase covers educational blog content about Prezi AI workflows, with potential expansion into webinars, lessons, or a dedicated course.
A comparison of Python for AI courses from Coursera, DeepLearning.AI, and Harvard’s CS50, with a realistic learning sequence and a practical map of the main Python libraries.
A practical guide to choosing a mobile AI course with real progress tracking: a five-minute audit, the data points that matter, mobile-first features, offline access, certificates, and billing to check before you pay.
A step-by-step guide to verifying an online course certificate, with a ten-minute check, signals of a legitimate credential, red flags, a comparison of verification methods, and how to handle disputes.