The AI technofacists building these systems have explicitly said they’ve hit a wall. They’re having to invest in their own power plants just to run these models. They have scores of racks of GPUs, so they’re dependent upon the silicon market. AI isn’t becoming “ever more capable,” it’s merely pushing the limits of what they have left.

While I agree that this paper sounds like a freshman thesis, I think you’re betraying your own lack of knowledge here.

Because no, they havent said they’ve hit a wall, and while there are reasons to be skeptical of the brute force scaling approach that a lot of companies are taking, those companies are doing that because they have massive amounts of capital and scaling is an easy way to spend capital to improve the results of your model while your researchers figure out how to make better models, leaving you in a better market position when the next breakthrough or advancement happens.

The reasoning models of today like o1 and Claude 3.7 are substantially more capable than the faster models that predate them, and while you can make an argument that the resource / speed trade off isn’t worth it, they’re also the very first generation of models that are trying to integrate LLMs into a more logical reasoning framework.

This is on top of the broader usage of AI that is rapidly becoming more capable. The fuzzy pattern matching techniques that LLMs use have literally already revolutionized fields like Protein Structural Analysis, all the result of a single targeted DeepMind project.

The techniques behind AI allow computers to solve whole new classes of problems that werent possible before, dismissing that is just putting your head in the sand.

And yes companies are still dependent on silicon and energy, which is why they’re vertically integrating and starting to try and produce that on their own. That’s not a sign that they see AI as a waste of time.

“During a counterterrorism activity in the area of Turmus Aya, IDF soldiers identified three terrorists who hurled rocks toward the highway, thus endangering civilians driving,” the Israeli army said in a statement.

“The soldiers opened fire toward the terrorists who were endangering civilians, eliminating one terrorist and hitting two additional terrorists.”

How the fuck does anyone defend Israel when they are literally gunning down children for throwing rocks at cars.

What the honest fuck. I honestly cannot fathom how anyone could support Israel after they have committed atrocity after atrocity.

And to make sure that everyone is portrayed by glen powell

Do you have any resources by any chance that explain the difference well?

I work in high level software, so understand the benefit of doing things at ide time vs compile time vs runtime, and I’ve coded in assembly back in the day and understand instruction sets at a very rough level, but I’m not really familiar with specifically what differentiates RISC / ARM / x64, or why RISC’s reductions would be good / bad / what trade-offs come with them.

Isn’t this blocked from GitHub because the dev is Russian?