I'm genuinely curious what you think about current AI/LLM. I see a lot of justified frustration towards AI, but I don't often see the details of people's thoughts on the matter of AI generally. Shares would be appreciated, and I'd love to know if you have thoughts beyond the four options (polls are limited) ❤️
AI research should be abandoned entirely.
17.1%
CURRENT AI is unethical. More research is needed.
51.2%
Current AI can be used ethically in some cases.
17.8%
Problems with AI are the same as any new tech.
14%
Poll ended at .

@anolandria

Hey, I work in LLM research (computational linguistics).

People should understand that us researchers are not the ones marketing the technology as replacements for workers, let alone artists, or as search engines, friends, therapists, or other tools they are not.

Often enough, we are the ones who know enough about it to understand why current trends are wrong or dangerous.

One of the most outspoken anti-AI-hype activists is Emily Bender ( @emilymbender ), a computational linguist who is working in the field herself.

Research is not the enemy. The technology isn't, either. It's the marketers, the venture capitalists, the investors, the managers, the grifters.

@lianna @anolandria @emilymbender It's being weaponized against people today. It should be pulled out of the workplace, out of generating porn of victim photos, deepfakes of anyone, and should be stopped from drinking half the fresh water in a desert and eating multiple power plants worth of energy.

Literally the only valid use cases today are in providing assistance for the disabled.

More research isn't what's needed now. More responsibility is. An unfathomable amount more.

@targetdrone @lianna @emilymbender Yes, well said. You are right, it's not research that's the problem. At the risk of sounding like a broken record, it's letting corporations put profits over everything else.
@anolandria @lianna @emilymbender Deepfakes are used by thieves, scammers, spammers, misogynists, racists, politicians, fascists, all kinds of loathsome people. Training datasets have plundered human efforts that should never have been used. They're corrupting education. People wanting to get rich is an important but tiny sliver of the problem; the lack of responsibility across the board is the real killer.

@targetdrone @anolandria @emilymbender All technology can be abused. The solution is not to abolish technology.

The instances you're talking about are not even related to LLMs, they're machine learning in general - the same technology powering medical reseaech and applications, for example.