To be fair in the book the zombies became a non issue once everyone got their shit together and stopped trying to milk the zombies for PR. They just let it get way too far before applying practical solutions instead of trying to showcase the latest lockheed martin product line.

Well cancer isn’t really a disease in the sense that other illnesses are so it might be worth figuring out incase there’s a chance you could end up as a giant suffering blob of immortal tumour.

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.

Its decent tank but even heavier than an abrahms and logistically awkward for using a 2 part ammo that no one outside the UK uses. Not really that well suited to the conditions in Ukraine. (One of the big challenger 3 changes is just switching to a NATO standard gun)

This meme isn’t anywhere close to neutral though, its criticizing policies such as the fairness doctrine where 1 random nutjob who barely made it through high school is given equal weight to decades of research or whole international regulatory bodies.

Ignorant feels harsh, technically accurate but harsh. Yes technology permiates our lives but its such a broad term that no one can be fluent in all its aspects and most of us have to have in depth knowledge of at least one part of it to do our day jobs. We can’t expect everyone to have the time to learn about the inner workings of communications infastructure.

Spoiler: Britan will let the US use its bases to attack Greenland.

Can we all appreciate the caustics included in the first pannel?

America is brandishing a shotgun and the EU is threatening to take it off the christmas card list!?

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.

Like mortal engines. Islands of small functional communities amidst a wasteland of AI generated content, occasionally having to scatter and reform elsewhere when the corps find them and attempt to Embrace, Extend, Extinguish (or just DOS with content scrapers) them.

Wasn’t his job trying to figure out how muggle stuff worked? With most wizards not even having a high school level comprehension of the basics of technology. Guys job was probably the most important of all given that technology advances exponentially and magic in the setting appears to be almost completely stagnant.

“Our model has no sense of permanence or real understanding of what words even mean and we re-interpreted this as the ability to lie.”

Oh look, airstrip one!

Some of us are just sitting here nodding along to 90% of the memes and struggling continuously with basic daily function but also past puberty and thus completely unable to even get checked for any kind of diagnosis due to a crumbling and outdated healthcare system.

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.