> You assume that the EU acts in a coherent manner.

When it comes to aiming for maximum extraction from big tech, yes.

What does a software breakthrough look like in your opinion?

If you get yourself to define it, maybe you'll find it achievable :)

At its peak, Apple accounted for 70% of Foxconn's business and there are plenty of Apple folks directly working with them.

It's an artifact of geopolitics that Apple and Foxconn and separate legal entities.

There really is none.

There were, if I recall correctly, one or two generations of Dell XPS that came close but they started cheaping out on materials almost immediately after it.

The old-ish ThinkPads were great if you want a rugged laptop, but that's not really because of better build quality, there were just more material.

I love how the point being made is a tautology :

AI is not conscious because it is not conscious.

When it was profitable to mine crypto with GPUs people used to sell these miner GPUs on the used market after about two years.

These were about half of the cost of an used GPU just used for gaming. By that pricr, I'd say a GPU kept busy has twice as high a chance of failure after two years of use.

Not great, not terrible.

I'm curious about whether we will start discovering new maths in the next few years that provide insight into unsolved CS or Physics problems!

I think it's going to reduce the friction of exploring new areas in math, and that we're going to see a golden age of math unlike anything seen before.

Right, most professional mathematicians know almost nothing about their neighboring branches of mathematics.

An algebraic geometry researcher would be hard pressed to understand a new result from category theory or even something closer like commutative algebra.

For all you know, some of this has already happened but kept secret for national security reasons

Well, we had tried to ban exporting cryptography once. It didn't go well.

Hill climbing doesn't mean much but absolutely doesn't imply they cheat on benchmarks. They have more details here https://microsoft.ai/news/introducing-mai-thinking-1/ it seems to be "RL on everything".

Embedding ads in LLM responses is something researchers are having a lot of trouble figuring out right now.

I have seen the results of some early attempts. It fails in such hilarious ways that all these companies are scared of productizing it. But once someone does it, the taboo is broken and everyone else will follow suit immediately.

It's already being done: https://openai.com/index/testing-ads-in-chatgpt/

Yet they managed to get a fake disease into them.

If you are willing to spend about 2000 on GPUs, we are almost there.

In my opinion, the bottleneck is the package management layer and not the model capabilities and performance.

I have been an avid Linux user for decades, and if I find it confusing and painful, something is missing.