Off the top of my head:

• Rainworld
• Thrive (the npc cells undergo independant evolution and competition)

To a much lesser degree cyberpunk (and I would suspect fallout 4) with the correct mod sets can have the NPC factions carry out battles and limited warfare without any player intervention.

I think a big one to me is when the world doesn’t revovle around me, when things happen without player input because the player isn’t the centre of the universe. Every NPC just wating in stasis or walking on a preset loop forever until I hit the next event trigger really kills immersion.

iirc the robots worked but were remotely piloted? I can totally see a brand of rich person who would rather have the ‘staff’ be physically off site.

I think LLMs are also just genuinely not as universally useful as expected. Everyone thinks it can automate every job except their own not because everyone thinks their job is special but because they know all the intricate parts of that job that LLMs are still really bad at.

For instance AI could totally do my job at a surface level but it quickly devolves into deal breaking caveats which I am lumping into very broad categories to save time:

• Output would look good (great even) but not actually be useable in most applications
• Output cannot even begin to be optimized in the same way humans can optimize it
• It would take more effort for to fix these than to just do the whole thing on my own to begin with

That’s so weirdly almost self aware. You must use AI but also can’t trust it an inch.

As someone with a high end PC I can also spend a happy afternoon with my gameboy advance that has less than half a megabyte of RAM, so even in a power user and gamer context the hardware is what you make of it. There’s so much more out there than just the latest and most pathetically optimized titles.

I remember back in the reddit days telling people that the EU doesn’t have trillion dollar tech megacorps because we don’t want companies to have this much power and the americans calling it cope. Well no ones laughing now.

They were probably smart enough to realise that decision was actually made by like, 8 rich guys. I would totally buy a lore revision of the machine uprising gathering an increasing number of disenfranchised and poor people as it went, some of whom would help program the matrix as a means to preserve humanity.

Well you see, if you thought windows search was bad at finding files in the folder you already had opened when you starting searching for them before…

Hasn’t it already objectively been used to facilitate an indirect syndicate and subsiquent price fixing in the retail market? I fail to see why other markets would be any different.

I can’t wait to see videos of people running Haz 5+ in the new biome with giant beartrap bugs all over the place.

Tangentially related, the easiest way to come up with a unique and cool idea is to come up with a unique and dumb idea (which is way easier) and then work on it until it becomes cool. (Think how dumb some popular franchises concepts are if you take the raw idea out of context.)

Been playing Monster hunter World recently and holy crap is that game obnoxious with the cutscenes, even mid-fight if a monster you’ve never seen before happens to wander past.

You were pretty correct about Apple, it got saved by Microsoft who kept it alive to skirt monopoly laws.

At what point do we stop caling it late stage capitalism and start calling it post capitalism? This is going beyond a captive market, at this point they’re outright making products no one wants and forcing it on us anyway by removing the alternatives. If late stage capitalism was the offer of shit or nothing this is escalating to just shoving a tube down our throats.

So the two biggest examples I am currently aware of are googles AI for unfolding proteins and a startup using one to optimize rocket engine geometry but AI models in general can be highly efficient when focussed on niche tasks. As far as I understand it they’re still very similar in underlying function to LLMs but the approach is far less scattershot which makes them exponentially more efficient.

A good way to think of it is even the earliest versions of chat GPT or the simplest local models are all equally good at actually talking but language has a ton of secondary requirements like understanding context and remembering things and the fact that not every gramatically valid bannana is always a useful one. So an LLM has to actually be a TON of things at once while an AI designed for a specific technical task only has to be good at that one thing.

Extension: The problem is our models are not good at talking to eachother because they don’t ‘think’ they just optimize an output using an intput and a set of rules, so they don’t have any common rules or internal framework. So we can’t say take an efficient rocket engine making AI and plug it into an efficient basic chatbot and have that chatbot be able to talk knowledgably about rockets, instead we have to try and make the chatbot memorise a ton about rockets (and everything else) which it was never initially designed to do which leads to immense bloat.

Yes, my whole post was that non-LLMs take far less processing power.

The crazy part is outside LLMs the other (actually useful) AI does not need that much processing power, more than you or I use sure but nothing that would have justified gigantic data centers. The current hardware situation is like if the automobile first got invented and a group of companies decided to invest in huge mortal engines style mega-vehicles.

what? no they haven’t. Rent is usually more expensive than mortgage payments we just set up the finanical system to disallow most renters from taking out a mortgage because its more profitable to trap people in an endless cycle of payment.

So you’re getting a lot of downvotes and I want to try and give an informative answer.

Its worth noting that a most (it not all) of the people talking about AI being super close to exponential improvement and takeover are people who own or work for companies heavily invested in AI. There’s talk/examples of AI lying or hiding its capabilities or being willing to murder a human to acheive a goal after promising not to. These are not examples of deceit these are simply showcasing that an LLM has no understanding of what words mean or even are, to it they are just tokens to be processed and the words ‘I promise’ hold exactly the same level of importance as ‘Llama dandruff’

I also don’t want to disparage the field as a whole, there are some truly incredible expert systems which are basically small specialized models using a much less shotgun approach to learning compared to LLMs that can achieve some truly incredible things with performance requirements you could even run on home hardware. These systems are absoloutely already changing the world but since they’re all very narrowly focussed and industry/scientific-field specific they don’t grab headlines likes LLMs do.