Out of curiosity - do you think your opinion will change once on-device (i.e., power efficient) AI becomes the norm?
The capabilities and utility of contemporary LLMs are wildly overstated by many, but the claim that they are completely useless is dubious imo. Nothing they generate can be treated as fact (and shame on those who suggest you do), but I can say with certainty that it has made my life as an indie programmer much easier, and I know I’m not alone in that.
Sports are much older than the concept of a “ruling class”.
The argument that they are used as a distraction in capitalist societies does not detract from how central they are to the human condition. Hell, games aren’t even specific to humans
Hah, cool fantasy bro. GPT-9’s first output was
As an AI, I cannot predict whether humans can solve climate change. Is there anything else you would like help with?
Alignmentmaxxed
I really hope that on-device AI becomes competitive soon. It’s nice to see that on-device is the way large portions of the industry is going, but cloud AI just uses way too much energy. Not to mention the resources required to manufacture millions of large-die GPUs.
It’s probably naive to think that the corporations that created this problem will solve it, but it honestly seems like the most feasible path forward in the near term. I certainly don’t expect the world’s governments to be effective at regulating AI any time soon.
It has bad games 😎
What not playing ARMS does to a mf
Not to be confused with Microsoft Copilot, which I have yet to find a use for. Do you not like GH Copilot either?
That GitHub Copilot and friends are useful? I would argue that their utility is rather subjective, but there are indications that it improves developer productivity.
I’m unsure if you’ve used tools like GH Copilot before, but it primarily operates through “completions” (“spicy autocorrect” in its truest form) rather than a chatbot-like interface. It’s mostly good for filling out boilerplate and code that has a single obvious solution; not game-changing intelligence by any means, but useful in relieving the programmer of various menial tasks.
May I ask, what evidence are you hoping to see in particular?
It doesn’t do that, either. LLMs retain the linguistic patterns found in textbooks, nothing more. It’s remarkable that they can do so much with this information alone, but it’s still a far cry from genuine intelligence.
I mean, it’s not shit at everything; it can be quite useful in the right context (GitHub Copilot is a prime example). Still, it doesn’t surprise me that these first-party LLM benchmarks are full of smoke and mirrors.
I guess I don’t live in a place where that happens frequently. Let me turn this around for a moment and ask you the same question you asked earlier:
How many ruined lives for this to be a concern to you?
I’m sure that adopting this design would get cries from the fragile men about their precious urinals. Honestly, fuck them. The toilet does the job, you animal.
They started putting in gender neutral bathrooms where I work. They also put in a few urinals, behind closed doors, just like the rest of the toilets. It’s not even an issue (unless you like checking out other dudes’ junk with the current setup).
So the gender neutral bathroom is useless, then?
You know there are other people in a public bathroom, right? How often do you think rape occurs in a unisex bathroom, of all places?
IIRC dude went home and played Civ all night
I mean, nobody intrinsically cares how many competitors there are, so long as the all content can be retrieved from a single source. Of course that doesn’t mean people wouldn’t care if a single company were to abuse their monopoly e.g. by charging unreasonable rates or forcing ads (looking at you, cable).
It’s worth remembering that monopolies aren’t inherently illegal in the U.S. or anywhere else really; it’s not against the law to have the best product by a mile, nor should it be. Antitrust is illegal, which in this case would be defined by signing exclusive rights for all content and then providing a shitty service.
No, dude… Spotify doesn’t have exclusive streaming rights to its music
Adolescent men would raid nearby tribes and kidnap their young women, which is the means by which genes were exchanged between tribes.
We see the misogynistic trends rise in late Hellenic periods
hmmm
I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.
I forgor. This is the post I was referring to. It’s well-researched and quite fascinating, actually.
I’m sorry?