The author’s blogpost is sloppy and has some signs of being AI written. This kind of bleeds into the main point I’m going to make.

Asahi Linux folks are clearly more conservative and erring on the side of caution, so, this means that the glibness with which the author is treating any of this is probably sufficient cause to refuse his entries. It is unclear if LLMs should be considered a toxic waste dump in terms of trying to maintain a clean room. We have not established a standard. It is clear the author doesn’t think this is a big deal, so that’s one conflict. The other conflict is that it is not clear what their exact interactions with Apple Silicon folks is and their glibness of it doesn’t clarify anything.

If you take a group that is trying to be very careful about the potential legal landmines a still nascent technology has and you get someone that espouses a general glibness about those concerns wanting to merge code…why on earth would you expect that group to accept them as a contributor?

This is not to say this isn’t really cool and a neat use of LLMs, but it is totally understandable why Asahi Linux won’t accept the fruits of this kind of development. If it turns out that Apple can identify its non-OSS code in this, it’ll be a mess.

Sam Altman represents OpenAI whether you want him to or not. The market and public perception hinges on his often questionable actions. The CEO’s job is in large part as a salesman. Him posting “her” on Twitter to try and promote GPT-4o’s voice features is hard to believe that he didn’t know what he was doing and the market and Scarlett Johansson reacted accordingly. A competent person would not have made such an inflammatory statement after she had explicitly declined to permit OpenAI the use of her voice.

Your CEO is going on podcasts and going around saying that AGI is here and also AGI is not important. What blithering marketing is going on here?

> Because EMTE tag checking imposes a performance cost, we designed Memory Integrity Enforcement to take advantage of our secure allocators first and use EMTE to protect only smaller individual allocations within a type bucket, which software allocators can’t defend on their own.

Which seems to imply that outside of Apple’s targeted use in the kernel, the developer use of MTE on Apple platforms requires that you migrate your code to use their typed allocators…which I don’t know how many people are going to do that (and it is clear their answer is going to be to point people to Swift since it makes these types explicit for the compiler and even then, I am sure there are bugs in Swift in certain cases). Memory tagging is neat tech, but I don’t know if it’s going to gain all that much traction. It requires a burden that I suspect most app developers are not willing to take on and given that the user interaction is a crashy app. This is a path to nowhere except those of us who understand the trade-off.

I have to image whatever style of writing this was trained on is a lot more pleasant to read and I feel bad for whoever writes like this now being associated as bad AI writing.

Most of the people pushing this are just hoping that they can cash out before the hype pops and financial gravity crashes the party. Sam Altman recently claiming that the singularity is here is so stupid on its face he should just be treated as what he is, a huckster.

None of this stuff ever made any sense on what it was being sold initially. It was always insulting that the media and business leaders tried to argue that the tech could replace entire call centers or vast swaths of entire industries.

People keep arguing, but it will or it has based on extrapolating certain, reasonable use cases. Klarna has shut up about replacing call centers with bots because Markov chains with memory only can do so much.

The problem is that the media has essentially lost most of its usefulness as a bulwark against the most egregious excesses of crony capitalism and cozied up to it instead. It feels like the Gilded Age again, but the people are somehow more insufferable. Cramming the “light of human consciousness into the stars” apparently requires we create CSAM generating machines powered by nitrogen oxide belching gas turbines. Even the folks at non-profit news outlets like Pro Publica have leadership that refuses to understand that it is difficult to prevent AI errors at scale. Nobody reviews drafts with such detail, we make a lot of assumptions, we trust that the person/machine is not feeding us trash.

This is, of course, doesn’t even bring up the fact that a lot of people in the US now get their news—similar to folks in India via WhatsApp (that became such a problem that Meta was forced to curtail the number of forwards you could do in the app)—by passing trash, hate fueling articles around on social media.

I think this bubble has given a lot of people software brain and are trying to apply it to fields it is wholly inappropriate for, though. Law is about argumentation and rhetoric. It is about providing a persuasive argument. This is how it is taught. The actual legal code is a way to formalize parts of it, but increasingly I see people angrily insisting that the only thing that matters is the text.

As you might imagine, I find textualism a load of applesauce, but I don’t think the vast majority of people making this argument even understand textualism as jurisprudence. It seems to stem from Crypto bros and the whole “code is law” argument which is just codswallop.

I think the real scandal is that we are almost 3-4 years into this (I think the release of GPT 3.5 is a good marker of when this public frenzy started) and all we’ve seen is OpenAI and the other major AI frontier companies constantly retracting their preposterous claims every time. We appear to have reach a local maxima in that it has some value in places that tend to be a little easier to scope and limit (computer programming, mathematical proofs). So, given the actual useful economic value this has provided, does this justify the investments? I think we are approaching 1 trillion in CapEx for AI [0]. For context, I believe the annual GDP of Norway is $600 billion.

[0] https://www.fool.com/research/ai-companies-spending-on-data-...

I don’t think it’s wrong to use clickbait, but come on, own up to it. You consciously chose to “let [YouTube] pick it.”

An in-development security system escaped its sandbox and gained access to the network it was on which had full Internet access and proceeded to access systems it was not authorized to be tested against before affected parties reported that they been compromised. We regret the error, but you should buy it as this shows you the power of our in-development security system which we expect to be released in Q4. Please like and subscribe.

We also have the Stargate UK data center that the Starmer government trumpeted before it was exposed as a glorified PR stunt without any substance. [1]

[1] https://www.theguardian.com/technology/2026/jul/04/openai-ap...