At its face value, base elements are not enormously complicated. But we can’t even properly model any element other than hydrogen, it’s all approximations because quantum mechanics is so complicated. And then there’s molecules, that are even more hopelessly complicated, and we haven’t even gotten to proteins! By comparison our best transistors look like toys.

I did not immediately dismiss LLM, my thoughts come from experience, observing the pace of improvement, and investigating how and why LLMs work.

They do not think, they simply execute an algorithm. Yeah that algorithm is exceedingly large and complicated, but there’s still no thought, there’s no learning outside of training. Unlike humans who are always learning, even if they don’t look like it, and our brains are constantly rewiring themselves, LLMs don’t.

I’m certain in the future we will get true AI, but it’s not here yet.

Yeah a lot of it is messy, but they are not being replicated by commodity gpus.

LLMs have no intelligence. They are just exceedingly well at language, which has a lot of human knowledge in it. Just read claudes system prompt and tell me it’s still smart, when it needs to be told 4 separate times to avoid copyright.

Current Ai has no shot of being as smart as humans, it’s simply not sophisticated enough.

And that’s not to say that current llms aren’t impressive, they are, but the human brain is just on a whole different level.

And just to think about on a base level, LLM inference can run off a few gpus, roughly order of 100 billion transistors. That’s roughly on par with the number of neurons, but each neuron has an average of 10,000 connections, that are capable of or rewiring themselves to new neurons.

And there are so many distinct types of neurons, with over 10,000 unique proteins.

On top of there over a hundred neurotransmitters, and we’re not even sure we’ve identified them all.

And all of that is still connected to a system that integrates all of our senses, while current AI is pure text, with separate parts bolted onto it for other things.

It’s possible primordial black holes could be dark matter, but there’s only a certain mass range allowed, roughly around the mass of an asteroid, for example.

But somewhat confusingly, these would be poor candidates to seed these massive black holes.

I do research on dark matter, and one of the more interesting possibilities I have heard is that these black holes could in theory be formed by directly collapsing dark matter!

There’s and increasing amount of attention being spent investigating a slight modification to the standard Lambda cold dark matter cosmology, by allowing dark matter to have a little bit of self-interactions. These can then allow part of a larger dark matter halo to directly collapse into a black hole.

Still my first time seeing it. And as a physicist who wants to strive to improve my field we should know these things.

Even better for hummingbirds is native plants that feed them. We have planted red cardinal flowers that attract them and butterflies

Based on Wikipedia I think the unit is milligals, where a gal is 1 centimeter per second squared.

That is a bit of an odd unit where g is ~980,000 milligals.

So these changes are extremely small.

So then the total variation is all within about 0.02% of gravities normal value