CamperBob2

My guess is, you won't care.

How will it and/or I know which one is a good choice?

My guess is, it will make a good choice.

I'm one of those "code to live" types, as opposed to someone who "lives to code." More specifically, I usually write code in the course of building something that uses it. That's true 99% of the time, anyway. Why would I complain about a technology that helps me (and my customers and employers) move closer to the actual goal?

As for resulting in my death, AI is not going to be what kills me. Not unless humans misuse it. Which, of course, we will, because that's what we do... but (shrug) if it's misused in a way that kills me, at least it'll be a more interesting death. More likely, it will extend my life by accelerating medical progress the way it's starting to accelerate progress in math.

In any case, I don't see the current crop of frontier labs being especially important in the grand scheme of things. Unless they have something up their sleeves besides serving LLM tokens, they are most likely the pets.com and Webvan of our day, not the Amazon and Apple. They are valuable partners, certainly, but I can get by without them.

For the rest of us, the sense of discovery that we get from training and running toy models is a big part of the reward. This stuff is not an exact science, at least not yet, so time spent building intuition with small-scale models is an incredibly important part of the learning process. Not pointless at all.

That's what Karpathy's videos are for. You end up with a GPT-2.0 equivalent if you follow them to the end.

Hmm. Let's give the clanker a try.

That makes no sense. It's like saying if you want an engineering degree, going to lectures will not cut it. Of course not, you have to do the homework and projects too.

Sadly, my GPUs were lost in a tragic boating accident.

The example the author gives, transistors that somehow rely on quantum tunneling to produce gain, is not a good example at all. In fact it's downright wrong. The essay could have been titled "I don't understand transistors."

Because -- if the author is to be believed -- essentially no one bothered to look at this work at all before AI became available to help with it. I had certainly never heard of it before. Had you?

That's the choice being offered. Not between "LLM slop" or "painstaking human authorship", but between something being done or nothing at all being done.

Nothing particular special about 5.3 Flash -- you might as well run DS 4.1 Flash at this point, as it's better in every way. But there is as yet no all-around replacement for the full 5.3 model.

I will probably buy a couple more of the RLC-810As, since I can only assume that newer models will be harder for the owner to actually own.

Sadly, being right about something like that does not, in fact, automatically entitle me to founders' shares in OpenAI or Anthropic. But I'll keep preaching it, nonetheless.

Or cut to the chase at the 'antimatter factory', at https://www.youtube.com/watch?v=Yibef6nLCv8&t=3186s

I do think it would be a good idea to look at additional regulation regarding the public companies that pension and major index funds can invest in. I'm not crazy about being forced to own Musk properties just because I hold an S&P index, for example.

Probably better if no one else clicks on it. I can't edit the post any longer. It won't let me flag my own post, and that might be a good idea too, given what's been going on lately.

(I will agree that the snarky part is better aimed at Anthropic than at you guys, though.)

You know, just in case the distinction proves important at some point.