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Mark Zuckerberg famously studied Latin in high school and remains a Classics enthusiast.

Right, but photoengraving is hardware at its easiest—which is not to say that it's easy at the level the industry has now taken it to.

It's true that LLMs "want" to be be local, but they won't shift broadly to being local until there's a sufficiently large supply of VRAM or (at least) "unified" memory from the manufacturers. (I'm also assuming here that radical regulatory changes like government bans of local models aren't going to happen.) So (AFAICS—I am no expert) the future of LLMs over the next few years comes down primarily to the nitty-gritty of how much memory fab capacity will be added and when, and to a lesser extent of what happens to future demand from LLM SaaS services (& maybe their existing stock of hardware if they get in trouble). (I'm also assuming no roughly-AGI-sized leap forward which makes the frontier models of the near future vastly more valuable than the near-fontier models of today.) For the incumbent manufacturers the high-margin business is selling to LLM SaaS providers who use VRAM efficiently, but the high-volume business is getting chips into millions of laptops which will use VRAM very inefficiently. I assume that they will want to move from high margins to high volumes as they build they physical capacity to ship higher volumes, but they seem to prefer to do it at a stately pace. Hopefully some jostling from Chinese competitors, and maybe a dropoff in demand from data centres, will speed things along.

LLM hardware wants to be shared. It's significantly more efficient economically to have expensive hardware be better utilized.

I wouldn’t say so. Once local solutions pass a threshold of affordability consumers tend not to mind too much about their inefficient resource utilisation: see the many thousands of MacBooks which sit largely idle for most of the day. And efficient utilisation is actively against the interests of hardware manufacturers, at least while they’re not supply-constrained and looking to sell their limited supply to whomever can pay top dollar.

Go To Market/Project Management?

But high demand for LLM time isn't sufficient to keep customers at the frontier LLM SaaS providers. That demand can be satisfied locally or at non-frontier outlets, absent hardware shortages at least. The Tier 1 providers (and the would-be Tier 1s) presumably need to open up a much bigger lead in model quality, one that doesn't simply get distilled away this time, and/or continue to be protected by ongoing (or worsening!) hardware shortages. (And that's overlooking the revenue shortfalls which OpenAI and Anthropic seem to be facing already.)

Seemingly the AI bulls are either not sufficiently optimistic, or not sufficiently wealthy(?!), to build new fabs as joint ventures with the manufacturers in which they agree to assume most of the downside risk?

They signed long term contracts for the hardware delivery over years. AI investment is approaching 1 trillion per year and expected to grow to well over 1 trillion per year. [1]

Even over their many years, projects like the Manhattan Project, the Apollo Program, or the U.S. Interstate Highway System never added up to that. [2]

Is your argument that there is insufficient AI spending at present as they aren’t also taking on building their own fabs?

[1] https://www.pwc.com/gx/en/news-room/press-releases/2026/glob...

[2] https://www.aljazeera.com/news/2026/2/19/visualising-ai-spen...


That greater efficiency only benefits the LLM SaaS providers as long as the hardware manufacturers, probably especially the VRAM manufacturers, remain supply constrained, since the high-efficiency users are the ones who can pay top dollar. But the hardware guys' dream is presumably to get parts into millions of laptops which remain on standby for 19 hours a day, not to bargain with SaaS providers who obsessively optimise their memory consumption.

I don't see a clear advantage over the the ZXCV shortcut placement which the Macintosh team chose. (The original Finder had no specific Redo shortcut because it was single-undo and ⌘-Z performed both undo and redo.) Even well-placed dedicated keys on a Xerox-style (or later Sun-style) "fun cluster" https://www.youtube.com/watch?v=pBiWtJJN5zk to the left of the alphabetic cluster would have forced the hand to move further away from the home row. Of course ZXCV is much less well-adapted to the left-handed, but that would probably be true of any dedicated keys as well, unless they were mirrored on both sides of the keyboard.

> […] left of the alphabetic cluster would have forced the hand to move further away from the home row.

The Star left cluster are primarily operations that pair the left hand on the keys with the right hand on the mouse. This derives from Engelbart's Mother of All Demos with the left-side keyset paired with the right-side mouse.


> The Star left cluster are primarily operations that pair the left hand on the keys with the right hand on the mouse.

Sure (this is demonstrated in the linked video, for instance) but the ZXCV group is pretty similar in that respect. Even for operations which involve the mouse it's preferable to drag only one hand far away from its home position, rather than both of them. (Especially since the video evidence https://www.youtube.com/watch?v=Cn4vC80Pv6Q seems to suggest that Star users tended to move their left hand only after making the mouse selection, instead of prepositioning it.) And the Star's Undo key, which presumably doesn't require help from mouse input and is likely to be needed after a non-mouse action, isn't placed any more conveniently near the home row: it's simply in the right side-cluster rather than the left one.


It also seems pretty reasonable to worry that Oracle isn't banning LLM code contributions to OpenJDK https://www.theregister.com/ai-and-ml/2026/08/03/as-larry-el... ( HN discussion at https://news.ycombinator.com/item?id=49213754 ) purely on quality grounds. If things carry on as at present, and it turns out that indeed it really was legally safe to copy and paste almost any code that came out of an LLM, then that's one thing; but if instead there's a rash of code copyright (and indeed patent) lawsuits a few years from now then the big and middling companies will simply pay each other settlements, while FOSS projects and their small-fry users will likely be in a much worse situation.

Also, "Readings" is hidden behind a "Menu" menu button on the mobile-device version of that page.

Geesh...it also behind a "Menu" button on desktop if the page is not wide enough.

Here is the PDF they link to: https://neurophysics.ucsd.edu/courses/physics_120/Agarwal%20...


Thanks. And the publisher's companion page with supplementary materials is https://shop.elsevier.com/books/book-companion/9781558607354 .

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