The “infinite loop” problem in AI security is real, and there are ways to break it.
🔗 Shifting Security Left with AI — Is It Truly AI-Assisted Security, or an Infinite Loop?
Posts in "links"
When to stay public - Modeling staying in public cloud versus moving out of it.
Little buddy - ‘Some 36% of active users consider generative artificial intelligence (GenAI) “a good friend”’
Good guide on picking a chat bot.
Good guide on picking a chat bot.
🔗 An Opinionated Guide to Using AI Right Now
If failure is the norm, a 95% failure rate for AI projects isn't so shocking.
Suppose that 95% of enterprise AI transformations fail. How does that compare to the failure rate of normal enterprise IT projects?
This might seem like a silly question for those unfamiliar with enterprise AI projects - whatever the failure rate, surely it can’t be close to 95%! Well. In 2016, Forbes interviewed the author of another study very much like the NANDA report, except about IT transformations in general, and found an 84% failure rate.
Programmers irrationally chose based on brand identity
As many of us say, technology is fashion and passion. Programmers identify with the language they use just people do with brands (beer, shoes, cars, political parties).
🔗 Why engineers can’t be rational about programming languages
Man-razors aren't the best
Use women’s razors for a better, more comfortable shave, he says.
🔗 How Gillette Used Gender to Make Face Shaving Needlessly Worse for Men
Organizations are measuring DevEx metrics more, JetBrains survey
JetBrain’s The State of Developer Experience and Developer Productivity survey is out. It’s an oddly, narrowly focused survey. Mostly on metrics used to measure developer experience.
Above, the metrics most used for tracking/rating/metric’ing development..As the conclusion says, measuring DevEx is getting better:
The good news is that companies are getting more serious about tracking developer experience, not just productivity. The drop in irregular DevEx assessments – from 53% in 2024 to 29% in 2025 – shows a positive shift toward more structured and thoughtful measurement.
Americans move less than they used to/stay where the grew-up
Figure 1 shows a steady decline in interstate migration rates between 1996 and 2024 across all age groups. The figure also shows that moving rates are consistently higher for younger adults (25-34) than for older age groups and that mobility has declined within every age group. Thus, the overall decline in the mobility rate (age 25+) is due to a combination of population aging and mobility falling within every age group.
New tech requires new governance
IDC predicts that by 2027, half of all AI-enabled enterprise applications will require new oversight positions dedicated to governance, risk, and accountability.
Predictions are mostly (only) valuable to see what someone is thinking and hoping to be true - their in-head-vibes. Here, you can see what one of the IT thought-leaders will be thought-leadering in CY2026z
🔗 The Future of Work: AI Agents as Instruments