This guy here... this is a guy. I love this guy 🩷🧸🍷
How do you keep your little gooses on path? 🪿🦮
We're calling it Looking Glass Development. It's what happens when TDD and BDD have a wee bit too much wine when they're over for a visit with your teddy and what comes out has a wee bit more computational markdown in it than anyone wants to admit.
🧸🤷🏻♀️
You guys are already doing that thing where you use your user guide as the spec right?
Just add your unit tests at the bottom.
Living markdown.
🔴 ➡️ 🟢 ➡️ 🔄
♥️ 🏹 💚 🏹 🫶🏻
If the guide is accurate enough to direct accurate usage and the tests are passing then the garden has been well tended. 🌱
#ai #platform #living-documentation #computational-markdown




![Beyond Fact-Checking: Empowering Flexible Human-AI Teams to Detect and Counter Online Misinformation
Vahid Ashrafi, Nick Byrd, and Jordan Suchow
Abstract. [Vahid construced] a comprehensive knowledge base of 419 cognitive errors—including cognitive biases and logical fallacies—grounded in empirical findings from psychology and cognitive science. We then trained GPT-4.1, a state-of-the-art language model, to identify potential examples of these cognitive errors in users' posts. ... The robustness of AI-generated insights was rigorously validated by human annotators, achieving high reliability (Spearman’s ρ = 0.86). ... we propose actionable solutions such as targeted cognitive interventions to educate users about common reasoning errors, AI-driven moderation systems that identify problematic reasoning patterns rather than merely flagging false information, and personalized cognitive profiling tools to proactively identify at-risk individuals and communities.](https://files.mastodon.social/cache/media_attachments/files/115/271/638/483/828/745/small/94dae2287c65759b.png)



