This is the perfect archetype of an intellectually lazy anti-AI post. The author ends with his admission of bias, but he'd be better off starting with it, as it's clear that his reasoning flows entirely from it. AI is bad for productivity, says this single study from 2025. AI is unsustainable, says this article I found. AI will all just disappear one day... because I hope so?
Ironically, the author would have been better asking an LLM to write the article. At least it would have found better sources and developed more convincing arguments.
It's sad to watch corporate leadership try to fix problems with tactics that will only make them worse. MS bought successful studios who were successful precisely because their of unique technical and design culture. Now they plan to homogenise them into a content-creation blob that will churn out entries for existing franchises, using the same tools and approaches as the rest of the industry. Anything that was special or unique about those studios and their games will be lost, and the result will be a downward spiral of mediocrity that will cause players to lose interest even further.
This is a bit like going back in time to the beginning of the industrial revolution and estimating the impact of a mechanisation based on comparing the speed of early mechanical looms vs. a skilled human.
It takes years or decades for the automation of an artisan process to shake out, because it involves rethinking how everything around the now-automated process happens, and because the benefits involve the automation's ability to continue scaling beyond a level where human capacity was saturated. We're only at the very beginning of that process for coding, and right now we tend to see LLMs somewhat awkwardly inserted into pre-existing software development lifecycles. But it's unlikely that'll be still be the way we're creating software in 10/20 years time.
I don't think you would expect to get into a flow state if you were intermittently directing another (human) programmer to do work, and you shouldn't expect to with LLM-driven coding either. Perhaps you are best finding out ways to extend the length of time where the LLM can work without prompting, then use that downtime to focus on other tasks that will help you to guide it better the next time you need to prompt it.
It's weird to see people claiming that model capabilities are plateauing. It wasn't until late last year that we even had strong coding models. Imagine if, less than a year after the first iPhone launched, people claimed that smartphone capabilities were "plateauing" because Apple hadn't yet launched a new phone. And it seems the issue is less than "models aren't getting better" than, "models are good enough to handle 99% of the coding tasks people give to them".
This gets posted every time GitHub is down. This chart is not accurate. It is based on data scraped from GitHub's status page and that data is missing historical incidents from the pre-Microsoft era.
For what it's worth, pre-agricultural hunter-gatherer bands, i.e. the kind of structure humans actually evolved to live in, do seem to be relatively immune. They consist of a group of nuclear families who act together for mutual benefit. Everyone knows everyone else personally, and important decisions are made via consensus. Leaders exist, but they earn their position by demonstrating themselves the wisest, fairest, most capable, etc individual. and can lose it if they keep making bad decisions. And if one person attempts to become too dominant, the others will join together to kill or expel them, or leave to join another band.
Of course, it's not a perfect system, but it tends to avoid the excesses of control, violence and oppression that other power structures can enable. I try to avoid employers, clubs and other organisations whose internal dynamics don't resemble it (aside from the killing). As a result, I've mostly avoided the kind of stress and politics that other people seem to find themselves mired in.
So you're complaining that his actions matched his words?
He didn't make compute deals until he saw the growth necessary to justify them. As a result, they're paying over-the-odds compared to if they'd have make deals earlier. Maybe that was a poor business decision, but I'm not sure how it represents speaking out of "both sides of his mouth"? Sounds like he was honest.
I don't think that is true though. The spec make it clear that it only has access to a limited subset of the JS standard libraries and specially registered foreign functions:
> An asm.js module can take up to three optional parameters, providing access to external JavaScript code and data:
> - a standard library object, providing access to a limited subset of the JavaScript standard libraries;
> - a foreign function interface (FFI), providing access to custom external JavaScript functions; and
> - a heap buffer, providing a single ArrayBuffer to act as the asm.js heap.
Perhaps I'm misunderstanding, but doesn't asm.js have the same restrictions? I.e. you can't call web APIs directly from asm.js code, you still need special handling for "foreign" functions.
Presumably recruitment and PR for the air force, and morale for the aviators, as they can show off their training and skills to friends, family and the general public.
It’s amazing to see some people talk with 100% confidence about the macro view of AI assisted development when we have had strong coding agents available for less than a year.
Here's GitHub's historical uptime graph (on which this chart is based), saying there was no recorded downtime that day, or in fact that entire month: https://www.githubstatus.com/uptime?page=40
Call me crazy, but I'm not sure I'd want to be the person building these kind of systems given A) how much increasing independence and power is being given to models like Claude and B) how incentivised they are to not allow their morals to be circumvented in this way.
“We find little evidence of steganography in our NLAs. Meaning-preserving transformations, like shuffling bullet points, paraphrasing, or translating the explanation to French, cause only small drops in FVE, and this gap does not widen over training.”
Ironically, the author would have been better asking an LLM to write the article. At least it would have found better sources and developed more convincing arguments.