631·
10 hours agoRecursive self-improving AI isn’t happening like they expected. AGI is nowhere in sight.
The pace of advancement is slowing down and they need a cover story for why they’re not living up to their own hype.
Wakko
Just another Space Monkey
- 0 Posts
- 13 Comments
Joined 24 days ago
Cake day: August 22nd, 2026
You are not logged in. If you use a Fediverse account that is able to follow users, you can follow this user.
I don’t think it’s professional use either. I’m suspecting structural racism - the people drawn to companion AIs are likely highly educated but unable to use their education fully in their current role. Just my gut speculation. But I’m curious if there’s enough data to show that kind of correlation.
I think you’re on to something. I think the next logical question to ask is - “What proportion of post-graduate non-Whites land in what kinds of roles?” Is there a reason this demographic is using AI companions more that correlates to the kinds of jobs they’re doing?
It’s much, much worse than that.
To have functional social beings requires social supports that haven’t existed in the USA in decades. It’d be more accurate to say that the vast majority of non-melanated Americans are dysfunctional. Cracker Culture is built on being exploitative, isolating, and abusive toward their fellow human.
You have absolutely no idea what you’re talking about.
That’s an awful lot of typing instead of just saying “I’m a lying liar who doesn’t know what he’s talking about. That’s why I offer no actual data - because the actual numbers destroy my entire argument.”
That’s an “I have no idea what I’m talking about” if I ever heard one.
“Citation needed” IS polite. You claim it’s not polluting, so clearly you know the CO2 emissions numbers from SpaceX’s datacenters that are being run off direct-connect to natural gas generators. So, how about it? How “not polluting” are they?
It’s pretty insignificant
Citation needed. You’re just straight-up lying or clueless as to what’s actually going on.
The ecological damage is not made up.
ROFL.
Thanks for admitting you have no idea what you’re talking about. Again.
Thanks for admitting you haven’t got a legitimate argument.
I’m only using an over the top example to hopefully make my point more clear.
If that’s the only example available that illustrates the point, then you have not spent enough time thinking through your idea.
Do better.
I’m aware of what the pace is. You might want to check up on the current controversy surrounding OpenAI’s math “achievements”.
By my reckoning, the difference between Mythos and Opus is smaller than the difference between Opus and Sonnet. Same with the difference between GPT 5.5 to 5.6 is smaller than the difference between GPT 4 to GPT 5.
The size of improvements over time is diminishing. We’re not in “big bang” territory anymore and we’re about two years into the “incremental refinement” period. We’re about to enter the next AI Winter unless somebody comes up with a new architectural component as revolutionary as transformers have been for ML models.
The core problem is that LLMs do not create. Full stop. All creativity is borne by the human inputs. Until that changes - until the model gains the capability to truly create new information, we’ve hit the limits in raw capability.