Wired reports that the FBI and DHS are now monitoring a new class of threats described as “anti-tech violent extremism” resulting from the backlash against AI and data centers. It’s unclear if this is a real threat or a political move by the White House to target opponents of AI.
Dare Obasanjo
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This is also my personal policy
A Stanford student talks about how rampant using AI to cheat is at the college. This is on rationale for reduced hiring of entry level workers. If white collar jobs have become primarily reviewing the work of AI, why hire people who never learned how to do the work?
- ChatGPT's 2022 debut triggered cascading honor code violations and policy reversals that persisted across all four years of one college cohort.
- Faculty policy swung between banning and requiring AI tools within single academic years, leaving students unable to follow consistent rules.
- A documented social rift formed within the Class of 2026 between students who adopted AI tools and those who refused throughout their degree.
Everywhere you look, there is some system buckling under the load of AI generated content. This time, it's the court system that can't handle the flood of lawsuits from people who previously couldn't afford a lawyer but can now represent themselves thanks to ChatGPT. AI judges…
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- Local permit campaigns have already successfully blocked AI data center construction, creating a replicable model for future opposition.
- Majority poll opposition to AI's development pace now gives legislators bipartisan political cover to push restrictive regulation.
- Activist groups and legislators are coordinating across multiple simultaneous fronts, not acting as isolated individual incidents.
AI subsidies were never going to last. Anthropic is committing $15B/year to SpaceX for data centers while Big Tech cuts jobs to fund AI infrastructure. Now GitHub and Anthropic are moving heavy consumer usage patterns from flat rate to metered plans. The free lunch is almost o…
- Anthropic, OpenAI, and Google are simultaneously deploying rate limits, paywalls, and price hikes in 2026, ending subsidized AI access.
- Anthropic's June 15 print-mode repricing, OpenAI's guaranteed-capacity tier, and Google AI Ultra are concrete signals of the industry-wide monetization shift.
- Labs spent years using investor capital to subsidize access and build user habits; the payback phase has now arrived across the industry.
A key reason people in China are more receptive to AI than in America is that the courts there have ruled that you can't just lay people off because Claude can now do research and write code. You need a better reason than that. In America, CEOs can't wait to get rid of "low va…
Uber's COO recently voiced an uncomfortable truth that many in the tech industry are yet to admit. He said while Uber's engineers are consuming massive amounts of AI tokens, it is incredibly difficult to prove that this spending actually benefits the end user or improves the p…
I agree with Simon Willison: AI agents like Claude Code have found product market fit. Like spreadsheets and email, they are how we work now. The interesting detail in his post is that while consumer usage is still subsidized, Claude & ChatGPT raised April enterprise pricing. …
Elon Musk has lost the lawsuit intended to stop OpenAI from switching to a for-profit corporation from a non-profit. He lost on a technicality: the jury unanimously agreed he filed the lawsuit too late and thus beyond the statute of limitations. He had 3 years to sue but didn’…
- The jury ruled Musk's claims were time-barred, ending the case without any ruling on OpenAI's alleged mission betrayal.
- The $134 billion disgorgement demand and Altman removal request were dismissed without ever reaching a merits verdict.
- OpenAI's defense successfully argued Musk had actionable notice of his claims years before he filed suit.
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- Bloomberg found US roles with the highest AI exposure saw accelerating job losses for a second consecutive year in 2025.
- The White House NEC publicly stated weeks ago there is no data showing AI is costing jobs, directly contradicting Bloomberg's findings.
- Bloomberg draws an explicit parallel to the China trade shock, where sector-concentrated displacement was invisible in aggregate data until it became a crisis.
The Pope is the world leader who has shown the clearest & deepest thinking about the impact of AI. He likens AI to the Industrial Revolution which replaced factory workers with machines and argues its impact is too significant to be governed only by AI labs, investors, and big…
Recent commentary
Cloudflare’s CEO explains why despite over 30% revenue growth, they are laying off 20% of staff. He argues that there are 3 types of workers; builders, sellers and measurers (middle managers, legal, HR, operations, etc). AI makes it possible to automate the last group and he expects everyone will
I think this is a key insight about the AI psychosis we are seeing exhibited by big tech CEOs. The further you are away from the work, the more you assume it’s trivial for Claude or ChatGPT to replace the worker.
The public sentiment on AI has shifted from excitement and curiosity to skepticism, and in some cases, outright hostility. People see AI as representing layoffs, higher energy costs and devaluation of the education of their kids. It is now a political battle being fought by banning datacenters.
The hiring landscape for senior leaders in tech is interesting these days. I’ve heard that there is little interest in people management skills anymore as companies either want you as a “senior IC” or to help with AI transformation not org leadership Career development is no longer a thing.
Steve Wozniak figured out how to talk about AI during a graduation speech without getting booed. 😁
A recent Y-Combinator talk explains why Silicon Valley is at war against middle managers. The argument is if AI native companies document every process and record every meeting.then leaders can simply ask Claude what’s going on and AI can suggest process/business improvements overnight.
If you’re wondering how much AI vendors have been subsidizing tokens, here’s what a GitHub Copilot user would have been charged for their current usage under the usage based billing model going live next month.
Probably the only topic guaranteed to result in spontaneous booing when giving a speech to a graduating class in 2026 is how AI is going to change everything.
Don’t blame the economy. Investors might think your company is in trouble. Instead say AI has gotten so good that you have no choice besides laying off thousands of workers. If anyone asks why not grow your business, hang up the phone.
Anthropic’s Mythos model can find lots of security vulnerabilities in your product and the best way to protect yourself is to pay for access to Mythos to find the bugs before the hackers do. This article argues this is another problem that wouldn’t exist if AI companies didn’t create it.