Ford has rehired hundreds of senior engineers after replacing them with AI backfired and has cost the company billions of dollars. AI adoption is blamed for Ford being the most recalled automaker in the U.S. with 51 recalls covering over 11 million vehicles in the first half of 2026 alone.
Oracle’s plan to spend hundreds of billions to build data centers to support OpenAI has been a millstone around its neck. It’s getting worse as environmental permitting issues are raising its $16.5B data centers costs in New Mexico as it’s forced to switch from gas power to fuel cells. Tough times
OpenAI has confirmed that sometimes GPT 5.6 could make "an honest mistake" and delete your home directory. It's recommended to enable sandboxing protections including auto review to protect against this problem while OpenAI works on mitigations. 😬
The New York Times ran some tests to see if AI could replace an office worker and realized the fundamental flaw of LLM-based AI agents; they don’t follow instructions. The funny thing is how often AI bros excuse this by saying humans aren’t good at following instructions either. Computers got worse
The fundamental challenge of software development is becoming how do you build reliable software using AI agents that are frequently wrong and often don’t follow instructions while your engineering team increasingly doesn’t understand the codebase because they didn’t write the code?
David Sacks argues that while Anthropic talks about open source models being “dangerous”, the real danger to businesses is deploying Claude and Anthropic uses your IP to compete with you. He implies this is what happened with Figma and Claude Design.
AI doesn’t shorten the workweek because companies simply lay people off as productivity gains show up. This has been true for all productivity gains from automation under capitalism. This is just blame the workers type shit.
It turns out the kind of companies willing to layoff 10%-40% of their employees to save a buck with AI are also going shop around for the cheapest AI models instead of just giving those savings to frontier AI labs. Who would have guessed that?
The secret of Elon Musk’s business success is creating a permanent sense of being close to the next big breakthrough. Sometimes he delivers like reusable rockets and mass market EVs while other times it’s vaporware like the Hyperloop and full self driving. An iPhone killing AI device? Vaporware.
The most disappointing thing I’ve found using AI agents is you can’t enforce guardrails via memory or CLAUDE .md files. To an LLM, your instructions are just more text to probabilistically reason about. “Don't do X” simply cannot work. You must enforce deterministic rules outside the system.
