I really enjoyed cryptonomicon and seveneves most recently. And while yes snow crash was a faster read with just the right amount of detail the stories in both cyrptonomicon and seveneves were absolutely worth the bit of extra detail in between. Could they have been edited shorter? Possibly, but the length of the adventure in part comes from the length of the text and I couldn’t see either being paced faster in hindsight. They were paced well.

These things are a waste of sand.

Could’ve added more gpu or cpu or cache and people would’ve been happier.

When these came out, I thought, what is the average PC user going to get out of this? Faster image touchups, and...? You can't run an LLM chatbot of any comparison to free cloud models.

Oh yeah, and Recall. That worked out well.

Yep… massive waste. A dsp coprocessor hobbled by npu workflows.

> Could’ve added more gpu or cpu or cache and people would’ve been happier.

I actually wonder about this - my regular dev workstation is a Qualcomm ARM laptop - by-and-large my bottleneck for CPU-bound tasks is thermal. Would adding more CPU or cache instead of the NPU help with performance/watt?

Is it all upstream? Is there a newer part coming with upstream support on day 1 like every Intel laptop I’ve had for the last decade+?

Betteridge's law. The answer is 'no'.

Right then it’s still not where it needs to be

Please no llm posts?

But this is not

I definitely see a future race of who can accelerate open models and their usage locally with realistic desktop hardware.

I fully await my ai in a usb box. The models are plateauing and some clever company is secretly working on this already I’m sure of it.

Imagine baking in a model weight set in ROM with an analog computer doing what otherwise takes way too much power in digital form.

Meanwhile nothing really seems to matter anymore but Zephyr which has become almost Linux like in its escape velocity. Every vendor on earth now supports it, and these guys follow the money.

Rust seems to have modest support in some places.

With AI I don’t know language really matters anymore.

Language still matters because writing robust code in C requires discipline on many fronts, and LLMs will often do the minimum to get code running (as will most humans) unless prompted further. Rust protects you from some of these issues and gives you greater confidence that changes will not introduce bugs.

On hardware? Usually hardware issues or quirks are a bigger issue than memory honestly.

AI is trained with an overwhelming amount of web-related code that is open source. For embedded, not only is the training set smaller, but much of what's publicly visible is not of great quality.

ikr? ive been really hoping to be embedded already but Zephyr/C seema still the pragmatic choice for most embedded.

bump up to EmbeddedLinux and i think Rust wins ovr C

This greatly implies online advertising is dead, that the internet as something useful to humans is soon becoming questionable.

Why would anyone be surprised by this outcome? No one should be surprised.

Why go back to a centralized model at all. Guess which project isn’t suffering in this whole debacle of GitHub? The one git was made for of course.

Copilot probably wrote the code confidently and it was never looked at by a human then yolo’d out to meet the pointy haired bosses arbitrarily short timeline to then look good to his boss and so on