sh3rl0ck

Hard agree.

It's easier than ever to build compatibility for more architectures and devices than ever before, to autonomously test it, and ensure UX rough edges can be rapidly iterated upon across platforms.

512 GB!

We'd bought 4 x $11K Mac Studios at my college and via exo, we had Kimi K2.5 at 30 TPS.

Not too wild an idea!

I've been a strong proponent of reallocating all LinkedIn server capacity to GitHub.

Everything that went wrong with Claude so far.

There's no mention of SLMs or LLMs, though.

> This work represents a compelling real-world demonstration of “tiny AI” — highly specialised, minimal-footprint neural networks

FPGAs for Neural Networks have been s thing since before the LLM era.

One of the very few good things from the AI race has been everyone finally publishing more data APIs out in the open, and making their tools usable via CLIs (or extensible APIs).

I assume it's an economies of scale thing now.

It's not like Apple is putting any thought into either the UX or the engineering side of utilising the compute properly (except calculating those glass effects extra inefficiently).

Minimise SKUs and get some use out of the binned chips who have a few failed cores.

I think there's a reward for finesse too.

As you mentioned, scope definition and constraints play a major role but ensuring that you don't just go for the first slop result but refine it pays off. It helps to have a very clear mental model of feature constraints that doesn't fall prey to scope creep.

In Gallifrey? In Gallifrey.

Never had Nvidia issues on Fedora and Ubuntu so far, 1P a multi computer research lab as well.

I find this a tad funny since ccc is my claude code alias, since cc is taken up by the actual, working, greatly optimised and really well made Clang C compiler.

It doesn't "require" a launcher at all; but the people have the freedom to change theirs.

Kinda like MacOS users only have Aqua, whereas Linux has a lot of DEs, the choice of which is entirely handed to the user.

The poor maids and servants, the poor chauffeur, the poor chef, etc.

'Before you joined' seems to that she doesn't anymore.

I find it a little amusing that AI companies provide free AI subscriptions to their employees and their families. Perhaps because I'd never thought of it that way.

That's kinda nice actually; I assume employees get early access to models to test (5.3 codex, for example). Do families get it too?