... but we will know from this link, thanks!

edit: to think that such short-form drivel is locked behind a paywall is just sad.

Unbelievable. I guess it's time to grep for every .unwrap in our code.

... we'll never know from this paywalled article

> every site is broken

If a site is broken, it's likely due to blocking of trackers. In the URL bar, click on the shield icon and disable the slider "Enhanced Tracking Protection". But yeah, that can be annoying.

Google is an advertising company. I don't understand choosing to use their browser if you can avoid it.

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.

It's hard for me to see the advantage of using one of these over pen and paper:

- distraction free (except doodling)

- lower power consumption

- expressive in a way that typing can never be

- tends to discourage editing as you write

edit: and less eye strain

This is just a puff piece profile of chris lattner and had few redeeming passages before i quit and decided my time was better spent elsewhere.