Most popular posts by Web Professionals community members over the last 24 hours. Updated hourly.
The entire board behind the National Science Foundation was fired on Friday. They were planning to release a report on how the U.S. is ceding ground to China on scientific endeavors. The Trump admin likes to say we’re competing with China but in reality this is just an excuse to not regulate AI.
The reason fascists hate science is because scientists can call bullshit on their edicts. The government can claim “clean coal” exists or windmills cause cancer but science can easily debunk that. So the solution is to defund, discredit and destroy the pillars of science as much as they can.
GitHub Copilot is officially moving to usage based billing from its current model of allocating a fixed number of “premium requests” per month for using advanced features. The post states it’s no longer sustainable for GitHub to absorb inference costs. The Uber moment for AI token pricing is here.
New Rule: ̶N̶o̶w̶ ̶i̶s̶ ̶n̶o̶t̶ ̶t̶h̶e̶ ̶t̶i̶m̶e̶ ̶t̶o̶ ̶p̶o̶l̶i̶t̶i̶c̶i̶z̶e̶ ̶g̶u̶n̶ ̶v̶i̶o̶l̶e̶n̶c̶e̶ It’s totally the right time to politicize this shooting and ask taxpayers to spend $400M building a fancy ballroom like the one from Disney’s Beauty and the Beast.
Some companies such as Nvidia are finding themselves spending more on AI tokens for engineers than their salaries. An open question for AI adoption is whether token prices keep increasing as AI companies drop subsidies or if new chips (e.g. Groq LPUs) will cause inference costs to get cheaper?
The WSJ notes tech layoffs have accelerated this year driven by big tech choosing to spend on AI infrastructure over personnel and betting AI coding tools mean fewer people needed to generate the same output. The article flags the potential costs of losing institutional knowledge as a major risk.
OpenAI missed its 1B ChatGPT user goal last year and multiple revenue targets this year. Enterprise adoption is lagging as Anthropic gains ground. With the CFO & board questioning their huge datacenter spend, this isn’t a great narrative leading into a $830B+ IPO later this year.
The EU plans to require Google to open up access to AI integration on Android devices to competing chatbots. For instance allowing ChatGPT or Claude to send an email using the user's preferred email app, order food or share a photo with friends. As a U.S. iPhone user I’m jealous we won’t get this
Chips used to be considered the limiting factor to meeting AI demand but electricity has proven to be an even bigger factor. The cost to build new gas power plants has gone up 66% in two years given larger demand from datacenters and the waiting list for gas turbines now stretches into the 2030s.
Ming-Chi Kuo, who has broken Apple hardware news in the past, reports OpenAI is reportedly building its own "AI-first" smartphone to compete with the iPhone. It’s designed around a continuous AI Agent layer so no more jumping between apps. Mass production reportedly is targeted for 2028.
Mark Gurman, a regular source of Apple leaks, says the company has six major hardware products in development. 1. AI AirPods 2. Smart glasses 3. Pendant 4. Smart display 5. Tabletop robot 6. Security camera I’m most interested in upgrades to AirPods and Apple’s take on smart glasses.