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We haven't done it on climate change, why the hell would people change for ai?

Username checks out. I'm so tired, Givesomefucks, so very tired.

Hey now, that's unfair; people think more than 2 months ahead!

They think 3 months ahead, correlating with the next Quarterly report.

I sincerely believe that our advancement in technology has outpaced our evolution and we are simply not equipped to wield it yet.

LLMs don't just imitate human speech. They do much more in application - and that IS already displacing people, people who can't just "find a new job". People in call centers, (remote) customer support, personal assistants, and so on.

And then we haven't even touched down on how it's changing IT. Software development alone is seeing massive changed with more and more code being AI generated, more and more functionality being offloaded to AI, which improves individual performance, allowing companies to cut down on manforce. The issue with that? There aren't enough employers who could pick up those displaced people.

Oh and then we haven't addressed the fact that this AI displacement is also affecting future generations of these jobs. In software development, there's already a shift from interns and juniors to AI, because it's cheaper. This means that out of 100 fresh starters, maybe, maybe ten will get the chance to actually gain experience and progress anywhere, the rest are being discarded because AI is cheaper and "better" at those tasks.

Previous industrial shifts have caused similar displacement, but those were slow processes. The most well known example would be the luddites going against the mechanical loom. While the luddites weren't right about it, as handmade clothing has increased in price AND the displaced people were re-trained to manage the looms, that was also a slow process as the looms themselves were expensive, took time to replace manual workers, so not all textile factories could afford them, and demand was there for the increased capacity.

Compare it with today's AI shift, and there's a clear distinction - within 3-4 years of LLMs showing up, we are on the verge of a potential societal collapse due to everyone and their mum trying to implement AI everywhere, even (especially!) in places it's not needed. This speed, this adoption rate is simply not sustainable without planning for the displaced people. Because if UBI doesn't happen, we're truly looking at the most exposed bottom ~30% of earners (and even a big number of high earners!) not having any sort of income or the ability to get income, and things will mirror the situation a century ago, kick-starting another great depression but exacerbated by factors like much lower property ownership (yay private equity buying up residential properties to rent them out at extortionate prices), much higher cost of living, and so on.

And we all know what the effects of the Great Depression culminated into. War, famine, ruin.

The thing is that technology is not linear.

That could happen tomorrow.

It might never happen.

It likely isn't going to happen with LLMs but the next big breakthrough could happen at any time. Or never.

You also need it to pop so the billionaires who want to gatekeep and control the future of AI (in order to make sure their names are attached to that future) can be knocked off the fucking pedestal they keep trying to place themselves on. They suck and they're making everything else suck too.

Imagine how much weirder and shittier the U.S. would currently be if only Steve Jobs and a handful of out of touch billionaires had been given this much fucking control of all future technology in the 80s.

As if attaching yourself to something successful before anyone else did a long fucking time ago, then gives you some kind of lifetime special status allowing you to decide what's best for all of humanity. Like it's only reasonable you be allowed to ignore whatever regulations you want while using your power to enforce other regulations that protect your monopoly. You're not being a self centered prick, you're "saving humanity from stagnation," while somehow being completely oblivious you and your mediocre state protected monopolies are the fucking stagnation that is plaguing society and fucking decimating hundreds of years of progress as fast as you possibly can.

The reasoning models were the breakthrough in its ability to reason and understand?

AI has solved 50-year-old grand challenges in biology. AlphaFold has predicted the structures of nearly all known proteins, a feat of "understanding" molecular geometry that will accelerate drug discovery by decades.

We aren't just seeing a "faster horse" in communication; we are seeing the birth of General Purpose Technologies that can perform cognitive labor. Stagnation is unlikely because, unlike the internet (which moved information), AI is beginning to generate solutions.

1. Protein folding solved at near-experimental accuracy, breaking a 50-year bottleneck in biology and turning structure prediction into a largely solved problem at scale.

2. Prediction and public release of structures for nearly all known proteins, covering the entire catalogued proteome rather than a narrow benchmark set.

3. Proteome-wide prediction of missense mutation effects, enabling large-scale disease variant interpretation that was previously impossible by human analysis alone.

4. Weather forecasting models that outperform leading physics-based systems on many accuracy metrics while running orders of magnitude faster.

5. Probabilistic weather forecasting that exceeds the skill of top operational ensemble models, improving uncertainty estimation, not just point forecasts.

6. Formal mathematical proof generation at Olympiad level difficulty, producing verifiable proofs rather than heuristic or approximate solutions.

7. Discovery of new low-level algorithms, including faster sorting routines, that were good enough to be merged into production compiler libraries.

8. Discovery of improved matrix multiplication algorithms, advancing a problem where progress had been extremely slow for decades.

9. Superhuman long-horizon strategic planning in Go, a domain where brute force search is infeasible and abstraction is required.

10. Identification of novel antibiotic candidates by searching chemical spaces far beyond what human-led methods can feasibly explore.

man was not meant to see bukkake gangbangs in their teens, it sets expectations way too high

The wheel. Fire. The steam engine. Easy access to porn. I could go on

... sliced bread.