"Facebook announced a 5% across-the-board layoff and doubled its executives' bonuses – on the same day. They fired thousands of workers and then hired a single AI researcher for $200m:
(...)
Whatever else all this is, it's a performance. It's a way of demonstrating the efficacy of the product they're hoping your boss will buy and replace you with: Remember when techies were prized beyond all measure, pampered and flattered? AI is SO GOOD at replacing workers that we are dragging these arrogant little shits out by their hoodies and firing them over Interstate 280 with a special, AI-powered trebuchet. Imagine how many of the ungrateful useless eaters who clog up your payroll *you will be able to vaporize when you buy our product!*
Which is why you should always dig closely into announcements about AI-driven tech layoffs. It's true that tech job listings are down 36% since ChatGPT's debut – but that's pretty much true of all job listings:"
pluralistic.net/2025/08/05/ex-…
#AI #GenerativeAI #Automation #LLMs #Unemployment #Programming #SoftwareDevelopment
![Screenshot of an excerpt from Section 5, Discussion:
In response to the research questions posed in Section II, we find that identifier style significantly affects time and visual effort needed to correctly detect identifiers constructed from a phrase. The underscore style is significantly faster and positively influences the dependent variables. In the Binkley et al. study [4], Phrase Length did not interact with Style, however we find such an interaction in our analysis. The common theme in both experiments is that camel-cased identifiers take longer than underscored ones (13.5% in the previous study and 20% in this study) overall. In the Binkley et al. study, higher accuracy was found for camel-cased identifiers, however, in our study, all (except one) subjects answered correctly on all questions making accuracy comparisons irrelevant.
In our study, no interaction effects were found between the Experience secondary factor and the independent variable Style. The previous study found Training (vis-à-vis Experience in our study) to significantly interact with Style affecting the time to find an identifier. Their findings indicate that subjects trained in the camel-case style take less time to identify a camel-cased identifier than an underscore identifier.](https://fedi.ml/photo/preview/640/684070 "Screenshot of an excerpt from Section 5, Discussion:
In response to the research questions posed in Section II, we find that identifier style significantly affects time and visual effort needed to correctly detect identifiers constructed from a phrase. The underscore style is significantly faster and positively influences the dependent variables. In the Binkley et al. study [4], Phrase Length did not interact with Style, however we find such an interaction in our analysis. The common theme in both experiments is that camel-cased identifiers take longer than underscored ones (13.5% in the previous study and 20% in this study) overall. In the Binkley et al. study, higher accuracy was found for camel-cased identifiers, however, in our study, all (except one) subjects answered correctly on all questions making accuracy comparisons irrelevant.
In our study, no interaction effects were found between the Experience secondary factor and the independent variable Style. The previous study found Training (vis-à-vis Experience in our study) to significantly interact with Style affecting the time to find an identifier. Their findings indicate that subjects trained in the camel-case style take less time to identify a camel-cased identifier than an underscore identifier.")
