Category: AI

“There are signs that entry-level positions are being displaced by artificial intelligence at higher rates,” the firm wrote in a recent report.

And

One tech executive recently told me his company had stopped hiring anything below an L5 software engineer — a midlevel title typically given to programmers with three to seven years of experience — because lower-level tasks could now be done by A.I. coding tools. Another told me that his start-up now employed a single data scientist to do the kinds of tasks that required a team of 75 people at his previous company.

For companies, the idea of replacing people with cheap tools is certainly appealing, particularly in a time of economic uincertainty.

“This is something I’m hearing about left and right,” said Molly Kinder, a fellow at the Brookings Institution, a public policy think tank, who studies the impact of A.I. on workers. “Employers are saying, ‘These tools are so good that I no longer need marketing analysts, finance analysts and research assistants.’”

I wonder, though, if companies stop hiring entry-level employees, what happens to the talent pipeline? How do you get L5 (and higher) employees if you’re not hiring and developing younger employees?

https://www.nytimes.com/2025/05/30/technology/ai-jobs-college-graduates.html

Altman’s blunt advice? Stop hesitating. “The companies that have the quickest iteration speed and make the cost of making mistakes low—those are the ones that win.” Ramaswamy agreed, adding that curiosity, not caution, is the more valuable trait right now. “A lot of what we assumed about how things work just doesn’t hold anymore,” he said.

And

It’s a response that reveals how seriously they take the possibility of AI-driven scientific discovery. Both leaders expect next year will mark another inflection point where companies can assign their most critical problems to AI systems with massive computational resources.

https://www.maginative.com/article/sam-altman-and-sridhar-ramaswamy-say-the-quiet-part-out-loud-about-enterprise-ai

Mike Caulfield explores the problem of hallucinated links:

If I am being harsh here it’s because we constantly hear — based on ridiculously dumb benchmarks — that all these models are performing at “graduate level” of one sort or another. They are not, at least out of the box like this. Imagine giving a medical school student this question, and they say — yes the thing that says in the actual conclusion that the lack of sustained differences is probably due to people stopping their medication is proof that medication doesn’t work (scroll to bottom of this screenshot to see). Never mind that in the results it states quite clearly that all groups saw improvement over baseline.

https://mikecaulfield.substack.com/p/differences-in-link-hallucination