Zacryon

We don't even have a clear definition of what "intelligence" even is. Yet a lot of people art claiming that they themselves are intelligent and AI models are not.

They have adapters. But yeah, would be nice to have a slot directly integrated.

It also has a lot of FLOPS. Do you have a lot of FLOPS?

But you can't generate it faster in an output format that is visible to others than my GPU.

Except very simple sketches possibly.

It's usually a lot faster in producing outputs though.

My GPU can compute stuff faster than your brain though.

Reading comments of people who (hyper-) organize their games as if it's a project to get through and they have to work off. And I'm sitting here just playing whatever the fuck I'm in the mood in.

Casually rotating 18,446,744,073,709,551,616 IP addresses to bypass rate limits.

I am not in IT security, but find it fascinating what clever tricks people use to break (into) stuff.

In a better world, we might use this energy for advancing humanity instead of looking how we can hurt each other. (Not saying the author is doing that, just lamenting that ITS is necessary due to hostile actors in this world. )

Ragebait?

I'm in robotics and find plenty of use for ML methods. Think of image classifiers, how do you want to approach that without oversimplified problem settings?
Or even in control or coordination problems, which can sometimes become NP-hard. Even though not optimal, ML methods are quite solid in learning patterns of highly dimensional NP hard problem settings, often outperforming hand-crafted conventional suboptimal solvers in computation effort vs solution quality analysis, especially outperforming (asymptotically) optimal solvers time-wise, even though not with optimal solutions (but "good enough" nevertheless). (Ok to be fair suboptimal solvers do that as well, but since ML methods can outperform these, I see it as an attractive middle-ground.)

Nah, I wouldn't give up on these so easily. They still have applications and advantages over transformers, e.g., efficiency, where the quality might suffice for the reduced time/space conplexity (Vanilla transformer still has O(n^2), and I have yet to find an efficient and qualitatively similar causal transformer.)

But regarding sequence modeling / reasoning about sequences ability, attention models are the hot shit and currently transformers excel on that.

Being in a consentful intimate relationship is being a loser?

Not directly having sex = losing? Sounds like a distorted and unhealthy perspective on relationships to me.