The use of OpenAI tools is becoming widespread among employees who, with more than 4,000 active GPTs and an average use of 4.1 days per week, claim that it saves them nearly three hours a week. This impact translates into time-savings of up to 80% for certain specific tasks, such as report writing or risk analysis.
🔗 Antonio Bravo: “AI is driving a structural transformation within the banking business”
Posts in "links"
If this stuff actually “just works” with Apple stuff, that would be cool. Side-note: was that Matter stuff just a crock of shit? Seems like it.
🔗 IKEA Debuts 21 HomeKit-Compatible Smart Bulbs, Sensors, and Controls
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?
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.