It’s bullshit. It’s inauthentic. It can be useful for chewing through data, but even then the output can’t be trusted. The only people I’ve met who are absolutely thrilled by it are my bosses, who are two of the most frustrating, stupid, pig-headed, petty people I’ve ever met. I wish it would go away. I’m quitting my job next week, taking a big paycut and barely being able to pay the bills, specifically because those two people are unbearable. They also insist that I use AI as much as possible.

• I don’t think it’s useful for a lot of what it’s being promoted for—its pushers are exploiting the common conception of software as a process whose behavior is rigidly constrained and can be trusted to operate within those constraints, but this isn’t generally true for machine learning.

• I think it sheds some new light on human brain functioning, but only reproduces a specific aspect of the brain—namely, the salience network (i.e., the part of our brain that builds a predictive model of our environment and alerts us when the unexpected happens). This can be useful for picking up on subtle correlations our conscious brains would miss—but those who think it can be incrementally enhanced into reproducing the entire brain (or even the part of the brain we would properly call consciousness) are mistaken.

• Building on the above, I think generative models imitate the part of our subconscious that tries to “fill in the banks” when we see or hear something ambiguous, not the part that deliberately creates meaningful things from scratch. So I don’t think it’s a real threat to the creative professions. I think they should be prevented from generating works that would be considered infringing if they were produced by humans, but not from training on copyrighted works that a human would be permitted to see or hear and be affected by.

• I think the parties claiming that AI needs to be prevented from falling into “the wrong hands” are themselves the most likely parties to abuse it. I think it’s safest when it’s open, accessible, and unconcentrated.

Most GenAI was trained on material they had no right to train on (including plenty of mine). So I’m doing my small part, and serving known AI agents an infinite maze of garbage. They can fuck right off.

Now, if we’re talking about real AI, that isn’t just a server park of disguised markov chains in a trenchcoat, neural networks that weren’t trained on stolen data, that’s a whole different story.

Let me know when we have some real AI to evaluate rather than products labeled as a marketing ploy. Anyone remember when everything had to be called “3D” because it was cool? I missed my chance to get 3D stereo cables.

It’s a glorified crawler that is incredibly inefficient. I don’t use it because I’ve been programmed to be picky about my sources and LLMs haven’t.

Mixed feelings. I decided not to study graphic design because I saw the writing on the wall, so I’m a little salty. I think they can be really useful for cutting back on menial tasks though. For example, I don’t see why people bitch about someone using AI for their cover letter as long as they proofread it afterwards. That seems like the kind of thing you’d want to automate, unlike art and human interaction.

I think right now I just kind of hate AI because of capitalism. Tech companies are trying to make it sound like they can do so many things they really can’t, and people are falling for it.

It’s a tool with some interesting capabilities. It’s very much in a hype phase right now, but legitimate uses are also emerging. Automatically generating subtitles is one good example of that. We also don’t know what the plateau for this tech will be. Right now there are a lot of advancements happening at rapid pace, and it’s hard to say how far people can push this tech before we start hitting diminishing returns.

For non generative uses, using neural networks to look for cancer tumors is a great use case https://pmc.ncbi.nlm.nih.gov/articles/PMC9904903/

Another use case is using neural nets to monitor infrastructure the way China is doing with their high speed rail network https://interestingengineering.com/transportation/china-now-using-ai-to-manage-worlds-largest-high-speed-railway-system

DeepSeek R1 appears to be good at analyzing code and suggesting potential optimizations, so it’s possible that these tools could work as profilers https://simonwillison.net/2025/Jan/27/llamacpp-pr/

I do think it’s likely that LLMs will become a part of more complex systems using different techniques in complimentary ways. For example, neurosymbolics seems like a very promising approach. It uses deep neural nets to parse and classify noisy input data, and then uses a symbolic logic engine to operate on the classified data internally. This addresses a key limitation of LLMs which is the ability to do reasoning in a reliable way and to explain how it arrives at a solution.

Personally, I generally feel positively about this tech and I think it will have a lot of interesting uses down the road.

Pretty cool technology ruined by greed. If we don’t get this under control (which we won’t probably) we’re in for a pretty interesting age of the Internet, maybe even the last one.

As a tool for reducing our societal need to do hard labor I think it is incredibly useful. As it is generally used in America I think it is an egregious from of creative theft that threatens to replace a large range of the working class in our nation.

I think AI will end truth as a concept

Hype bubble. Has potential, but nothing like what is promised.

I personally hate the path that AI is going. Generative ai steals art and scrapes text to create garbage on demand using too much power and computing resources that could be spent on better purposes, such as simulating protein folding for disease research (see folding at home). u/yogthos@lemmy.ml gave some good uses of ai.

To be honest, I think it’s a severe mistake that AI is continuing to improve, as long as you aren’t gullible and know what to look for, you can tell when something is ai generated, but there are too many people who are easily fooled by ai generated images and videos. When chatpgt released, I thought it was a nice toy, but now that I know the methods of which such large scale models are obtaining their data to train on, I can only resent it. So long as generative models continue to improve in accuracy of text and images, so will my hatred towards it in turn.

p.s: don’t use the term “AI art” for the love of God. art captures human emotions and experiences, machines can’t understand them, they are only silicon. Only humans can create art, nothing else.

I would probably be a bit more excited if it didn’t start coming out during a time of widespread disinformation and anti-intellectualism.

I just come here to share animal facts and similar things, and the amount of reasonably realistic AI images and poorly compiled “fact sheets”, and recently also passable videos of non-real animals is very disappointing. It waters down basic facts as it blends in to more and more things.

Stuff like that is the lowest level of bad in the grand scheme of things. I don’t even like to think of the intentionally malicious ways we’ll see it be used. It’s a going to be the robocaller of the future, but not just spamming our landlines, but everything. I think I could live without it.

I love it for what I use it for which is research, speeding up scripting and code writing, resume building, paraphrashing stupidly long news articles, teaching me Spanish and Japanese, bypassing the bullshit that are what passes as search engines these days, and talking my anxiety down. They cut through the noise and boost my productivity.

AI is a tool and a lot of fields used it successfully prior to the chatgpt craze. It’s excellent for structural extraction and comprehension and it will slowly change the way most of us work but there’s a hell of a craze right now.