You're right, I've been hearing lots of good things about Zig and I wanted to check it out but I'm glad I saw this post. I want no part of this thing.

I've heard people call other people "monkeys" before in a work setting. it's never good. Fact is, you don't need to call anyone names or insult them.

The takeaway for me is that the Zig project is led by people who are extremely immature and toxic. I simply don't trust any decision these people make. If you can't bring yourself to respectfully disagree with other human beings, if you resort to calling names and insults targetted at developers because of bugs, then i don't trust you to not backdoor your own code, or do something harmful to those who rely on your work because of some drama, spat or activism.

Even if actual political activists did this it would be unacceptable. If you called Netanyahu a monkey because of his Gaza genocide, most people who are pro-palestine will try to cancel you! Not because they think highly of him, but because it hurts the cause more than it helps.

Andrew: It seems you don't respect your own self or your community enough to set an example of decorum and civility. You've made Zig a platform for your own personal shitposting. Please do better!

OpenAI is just a wrapper around NVIDIA, which is just a wrapper around TSMC, which is just a wrapper around ASML, which is just a wrapper around Zeiss optics, which is just a wrapper around EUV photons, which are just wrappers around quarks, which are just wrappers around quantum fields...

A Large Language Model is just a Large Hadron Model with better marketing.

I agree I used the word substantially more expansively than some other people use it. That's why I defined it in the beginning so people can understand the local scoping of the relevant word! :)

(That said "salespeople" are in the middle layer under your definition as well)

The other term I was thinking of using for this post was "bullshit jobs." So titling my post "bullshit jobs are real jobs" but I didn't want to fight against the motte-and-bailey of specific jobs being possibly bullshit jobs.

("coordinators" presumed the conclusion too much and also points to a specific thing )

While I agree that the current LLM-based approaches won't get us to (sentient) AGI, I think this article is missing a key point: the entire modern AI revolution (while founded on research work esp coming from Google) was fired up by the AGI dreamers at OpenAI with GPT3+ then ChatGPT etc. They were first in industry; they created the field.

Even if you don't expect them to get us over the final line, you should give them credit for that.

It is ultimately a hardware problem. To simplify it greatly, an LLM neuron is a single input single output function. A human brain neuron takes in thousands of inputs and produces thousands of outputs, to the point that some inputs start being processed before they even get inside the cell by structures on the outside of it. An LLM neuron is an approximation of this. We cannot manufacture a human level neuron to be small and fast and energy efficient enough with our manufacturing capabilities today. A human brain has something like 80 or 90 billion of them and there are other types of cells that outnumber neurons by I think two orders of magnitude. The entire architecture is massively parallel and has a complex feedback network instead of the LLM’s rigid mostly forward processing. When I say massively parallel I don’t mean a billion tensor units. I mean a quintillion input superpositions.

And the final kicker: the human brain runs on like two dozen Watts. An LLM takes a year of running on a few MW to train and several KW to run.

Given this I am not certain we will get to AGI by simulating it in a GPU or TPU. We would need a new hardware paradigm.

Wrong URL; it should be https://blue.bikeshed.com/

Or perhaps https://steelblue.bikeshed.com/ .

(For those who haven't seen, the site accepts any CSS color as a subdomain.)