Insights
Founder and builder perspectives on AI tools, thinking patterns, and the new way of working
Showing 181-192 of 485
Gemini for Education: The Google Gravity Case
For a Google-shop district, the AI question isn't which model is smarter. It's whether Workspace gravity and NotebookLM beat a free standalone ChatGPT.
Claude for Education: The Other Free Offer
OpenAI isn't the only company giving teachers AI for free. Anthropic's education play — a free K-12 offer plus a paid, partner-rich tier — is the quieter alternative.
The Conflict-of-Interest Question in AI Training
AI vendors are funding the union that trains teachers to use their tools. That's a real conflict worth naming — and the safeguards deserve a fair hearing too.
Free for Teachers, Banned for Students: The Split
OpenAI is courting teachers with a free workspace while districts ban ChatGPT for students. Is that a contradiction — or two different problems wearing one name?
Oregon Teachers Are Calling AI Deals a "Grift"
An Oregon NEA rank-and-file caucus wants an end to what it calls 'AI grift.' Here's what that grassroots pushback represents — and what it doesn't, within a mixed union landscape.
What the MIT Cognitive Engagement Study Found
An MIT study found students who used ChatGPT to write essays showed weaker cognitive engagement. Here's what that implies for student use — and why teacher use is a different case.
Baltimore, LA, NYC, Seattle: Why They Banned ChatGPT
Major districts banned ChatGPT over integrity and quality fears. Now OpenAI is courting those same districts with free teacher accounts. Are the two positions contradictory?
Why Detection Tools Miss 1 in 5 AI Essays
AI-writing detectors run roughly 80-90% accurate — and most don't publish rates at all. Here's why that's not good enough to be a teacher's primary defense.
Calibrating Jev Thresholds: jevcal, jev-benchmark and Drift Checks
Typed decisions come with probabilities, but a threshold is only useful if you've measured it. jevcal, an eval-first jev-mcp and LightJev show how to calibrate and catch drift.
One Idea, Four Agents: Jev Compaction for Codex, Pi and omp
The same Jev pruning idea now exists for Claude Code, Codex, Pi and omp. How each implementation differs, what the READMEs measure, and how thin the evidence still is.
Context GC: fast-jev-compaction, Winnow and the Pruning Pattern
Two open-source tools use Jev to decide which old tool output an agent can forget, keeping originals verbatim. How the pruning pattern works and where it can go wrong.
How to Evaluate Jev Projects Honestly: A Checklist for the Radar
166 projects use Jev, and most are tiny and unbenchmarked. Here is how to read pinned vs unreviewed entries, star counts and author-tested claims before you adopt one.