Notices by Dare Obasanjo (carnage4life@mas.to)

Remember when they used to ask “why do you make everything about race?”

At this point I expect every major tech company can point to an anecdote of a handful of senior devs using AI to complete a project in days/weeks that would take a larger team months.

Key questions here are

1. Can this operationally scale? There are only so many super ICs.

2. Is it maintainable?

I can’t imagine how frustrating it must be to be Europeans forced to ration fuel because a bunch of American voters got scared about trans people in sports and elected this catastrophe of a president who started a pointless war with Iran.

The entire world is finding out even though we fucked around

With the move to usage based pricing for AI services, GitHub has also adjusted the pricing model for users on an annual plan.

The adjustments give a glimpse of how much AI usage was being subsidized. For instance, the price of Claude Opus 4.5 is going up 5x, Claude Opus 4.7 up 9x and GPT 5.4 up 6x.

Any company that truly believes AI agents will be a significant part of their workforce in the future should be working overtime on the lock-in problem.

Both the CTO & CFO should be having sleepless nights about x% of their workforce capacity being an Anthropic bill that can change overnight.

OpenAI missed its goal to get ChatGPT to 1 billion active users last year and has missed multiple revenue goals this year. Enterprise adoption is similarly lagging expectations especially given Anthropic’s growing popularity.

Their CFO and board have also questioned the wisdom of the huge spending on datacenter capacity.

All of these aren’t great datapoints for a company trying to IPO this year at a valuation of $830B or more.

https://www.wsj.com/tech/ai/openai-misses-key-revenue-user-targets-in-high-stakes-sprint-toward-ipo-94a95273?st=AiGMqm&reflink=desktopwebshare_permalink

LinkedIn’s business model in a nutshell.

@dalias It’s literally a summary of the Economist article in the link and I’m saying it’s an oversimplification 🤦🏾♂️

Europe over-regulated its tech companies making them non-competitive on the global stage and is now upset it’s dependent on American & Chinese companies.

While this is an oversimplification given both China & America are richer and more unified economies for companies to build their base, it isn’t entirely wrong either.

https://www.economist.com/europe/2026/04/22/how-europe-regulated-itself-into-american-vassalage?giftId=OWRhMDA0NTktZmUxYS00MzVjLTg4NGMtODQ5NTM3NmViZTgx

AI is clearly displacing workers in various fields especially creative ones while being built on people’s IP. Yet it is a significant productivity tool that professionals will be remiss to avoid.

Using AI will be like supporting Trump in 2016. No one admits it publicly but a lot doing it privately.

https://www.latimes.com/entertainment-arts/story/2026-04-16/reese-witherspoon-authors-book-club-learn-ai-chatgpt

A lot has been written about how Anthropic is holding back its Claude Mythos model for safety reasons because it’s too good at hacking and finding security bugs.

There’s also a more practical reason. Given the company’s recent struggles reliably serving customers with their current models, they simply don’t have the capacity to roll out an even more resource intensive model.

https://www.ft.com/content/c9f5b690-a10e-4c66-9245-017f8bfbc7b4

Oracle laying off 30,000 people to pay for AI data centers for OpenAI was a tipping point in the mainstream hostility towards AI and the awareness of AI-driven layoffs.

The idea that people simply going to patiently wait for AI to take their jobs and for government to tax billionaires to pay for UBI is not going to happen. Instead there’s going to be massive pushback.

A lot of the angst about declining birth rates is actually angst that the efforts to reduce teen pregnancies has actually worked.

This is one of those unintended consequences of a well intentioned policy.

Real talk

@evan @scottjenson @MozillaAI Mastodon as a community is quite hostile to AI and anything that isn’t a criticism of AI is viewed with skepticism at best and typically with hostility as the default.

It’s unfortunate because, as in your Mozilla example, there is still time to shape how AI is used in our industry. It’s better to engage and try to influence it versus stick your head in the sand and have the change thrusted upon you.

@dalias That’s quite a bit of projection. I’m following up on a post from three months ago which set the context and also trying to fit the content into 300 characters so it could fit on Bluesky, since I posted the same thing on all 3 apps.

@Wifiwits @dalias I don’t have the bandwidth to reply to 50-100 comments a day across platforms especially during the week.

I’m engaging more than usual today because it’s a Sunday morning and not a work day.

As it stands I mostly post in batches during the hour or so in the mornings and at night dedicated to reading tech news. I may post during my lunch break on weekdays but I definitely don’t have time to reply to comments in that time window.

@dalias There are different communities across the internet with different cultures & perspectives.

It’s easy to live in a filter bubble and have a myopic view of the world.

My post is an observation of my experience posting literally the same content on different platforms and seeing very different reactions from people.

People on Mastodon are a self selected group of curmudgeonly tech folks who have strong views when it comes to controlling software they use. It’s unsurprising they hate AI.

Three month check-in on follower counts after posting the same content on all 3 apps

• Threads (38K →40K): People love the shitposts and leave insightful comments on AI.

• Bluesky (47K → 60K): People love the anti-Trump posts.

• Mastodon (18K 📉): People hate AI and I’m steadily losing followers.

OpenAI spending hundreds of millions to acquire a tech podcast and Marc Andreessen saying layoffs are actually due to COVID overhiring not AI, are two sides of the same coin.

The narrative around AI is now quite negative and is only going to get worse as layoffs accelerate. “AI so good it can replace people” is now backfiring and its damage control time before regulations and voters go hard against the industry.