Deegy

In Canada the official electrician trade name is actually 'Construction Electrician' which to me is much more descriptive of the work. Electricians typically need to know a little bit about framing, drywall, hvac, plumbing, etc so that they can confidently cut into walls and modify things.

I'm an electrician in Canada and my favourite part of the job is actually this construction type work. I probably should have just been a carpenter but the job prospects aren't nearly as strong.

I've wanted something like this! Thanks

So what's the business strategy here?

Google is the only USA based frontier lab releasing open models. I know they aren't doing it out of the goodness of their hearts.

Is it though? Do we still have the expectation that LLMs will eventually be able to solve problems they haven't seen before? Or do we just want the most accurate auto complete at the cheapest price at this point?

And now there are 1% of the number of farmers that there used to be

Exactly. It's a lot easier to prompt an LLM when you spent a year understanding the problem.

I appreciate the response but I'm not sure I can agree with 'nothing will happen...'

When I have 275lbs on my back I'm very anxious that any lapse in focus could cause major injury to my knees, back, etc.

They're increasing reps and therefore total load. That's still a form of progression ('pushing yourself'). This style will slightly favor hypertrophy gains over strength gains.

At 40 I recently made this switch in style as well. The weight was getting so high that my anxiety was causing a mental aversion to working out altogether. Consistency is really 95% of exercise so I think this is a reasonable trade-off.

That said, I understand where you are coming from. There's something to be said about facing the fear of the weight head on. I've already done that in my younger years though. I'd much rather avoid injury and get 80% of the benefits.

Extensive tailwind training data in the models. Sure there's something more efficient but it's just safer to let the model leverage what it was trained on.

Professional legal services seem to be picking up steam. Which sort of makes sense as a natural follow on to programming, given that 'the law' is basically codified natural language.

It is unclear. Everyday I seem to read contradictory headlines about whether or not inference is profitable.

If inference has significant profitability and you're the only game in town, you could do really well.

But without regulation, as a commodity, the margin on inference approaches zero.

None of this even speaks to recouping the R&D costs it takes to stay competitive. If they're not able to pull up the ladder, these frontier model companies could have a really bad time.

We currently have human-in-the-loop AGI.

While it doesn't seem we can agree on a meaning for AGI, I think a lot of people think of it as an intelligent entity that has 100% agency.

Currently we need to direct LLM's from task to task. They don't yet posses the capability of full real world context.

This is why I get confused when people talk about AI replacing jobs. It can replace work, but you still need skilled workers to guide them. To me, this could result in humans being even more valuable to businesses, and result in an even greater demand for labor.

If this is true, individuals need to race to learn how to use AI and use it well.

They know that LLMs as a product are racing towards commoditization. Bye bye profit margins. The only way to win is regulation allowing a few approved providers.

That would be true in a monopolistic market. But these frontier models are all competing against each other. The incentive to 'just work and get shit done fast' is there as they each try to gain market share.

Not required of course. This move to finally move some of his cash horde into equities could be a result of the US governments recent announcement that they're ending their quantitative tightening policy. This likely signals a move back to a period of quantitative easing which could cause assets to continue to inflate while the value of the dollar continues to erode.

Basically he could just be trying to protect the value of his dollars by putting them into a very stable company that also has exposure to the upside of AI.