My previous laptop was an ASUS G14 and it didn't even take two years for huge problems to appear - particularly throttling.

Also the very last firmware update absolutely destroyed power management, making it idle at a crazy 20W.

The keyboard in my Framework is weak and I had to replace it, but other components are doing well.

To me it just means they can brilliantly fake human conversation - the original design goal of Large Language Models.

It's really easy to tell if you're talking to an LLM if you ask a question that requires actually knowing things, not going for the first search result of a tool call or whatever most popular answer was embedded in the weights.

For this reason even the most sophisticated models still require system prompts, skills and all that other crap.

Most of the photos appear to be from the Brezhnev Era, when the soviet union already transitioned away from Stalinism.

Also I imagine anyone taking a photo of any of that would find themselves a resident shortly after.

There's also Mixture of LoRA Experts, which instead of slicing up the model and routing through that, routes through different LoRAs.

But it all comes with tradeoffs, as you have to train and run the gating network doing the routing, which also comes at a cost.

How is today better than the situation 20 years ago?

What I imagine an on-device model should be doing is just translate natural language to search requests and calls to tools manipulating retrieved data - much like no model currently does calculations and instead they open up calculator and use that instead.

It doesn't actually specialise in anything in particular that one can point to.

For this reason you can really transfer them between models.

There's always another feature that can be implemented or a new problem to be solved. Tools only ever accelerated the pace at which we were able to follow this insatiable hunger for more software.

Right now people are getting fired left and right because all the money that used to be spent on staff now goes to build more data centers and also because cutting corporate expenses is in vogue now.

This too shall pass and with demographics as they are and young people getting discouraged from pursuing this field I believe long term my position is safe.

Also a huge chunk of what AI company CEOs say is just pure bullshit that they only say because they need that sweet, sweet investor money. Bullshit writes a check that eventually must be cashed.

It's what's happening right now, just with poverty being the largest factor. Gig/minimum wage workers start families considerably less often and no wonder - how they are supposed to?

There was a change in the world, which went largely unnoticed - sometime in 2013-2017 the global number of infants peaked, never to recover.

Those 20% would just figure that there's no need to have children when you can just focus on yourself and go largely extinct within a generation, replaced with some people from the higher tiers, but not nearly enough to make up for those who weren't born.

This actually has been happening without AI for a while now, but I imagine technology would accelerate the process.

I believe you've met a Mike Garage:

https://x.com/japan_nobunaga/status/2083940637921943803

They don't always accept payment.