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I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte
by t-writescode 3mo ago
I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion.
Though I also imagine that that is the point.
- georgeecollins 3mo agoIt is a problem because people will talk about what AI can do implying that an LLM can do that thing, making it seem like a pure LLM can do almost anything. On the other hand people will say AI will never be able to do X because an LLM can’t do that thing well natively. AI has become too vague of a term to be useful.
- pixl97 3mo agoWe're relearning that intelligence is spikey, and that different things that we consider 'intelligent' can have vastly different capabilities.
- bigstrat2003 3mo agoWe're learning that people are way too lax with where they apply the term "intelligent". LLMs aren't remotely intelligent, but people are trying to ride the hype train and call them intelligence.
- deleted 3mo ago[deleted]
- subygan 3mo agothis is just false. by any meaningful measure of intelligence. the latest models are much smarter than the bulk of the population. how would you define intelligence?
- deleted 3mo ago[deleted]
- YurgenJurgensen 3mo ago“Intelligence is the ability to learn.” That is a meaningful measure of intelligence that every LLM completely fails at.
- falcor84 3mo ago> LLMs aren't remotely intelligent Maybe I'm just significantly and unrepresentatively unlucky, but Claude is significantly more intelligent than the average human around me on most any metric I can think of.
- quantum_state 3mo agoVery much indeed. The term itself is not properly defined, strictly speaking.
- silentkat 3mo agoI have been practicing saying ML for traditional machine learning and LLMs for LLMs for just this reason. Trying not to say AI anymore. Too ambiguous. Sometimes I'm talking about game AI even, I'll try to use shorthand for whatever algorithm I think the AI is using (often I'll talk about its flowchart, though not always sure it's literally using that under the hood).
- fragmede 3mo agoWhat is ChatGPT then? Sure it's an LLM, but I can give the app pictures and audio, and it can generate pictures for me. Do we distinguish between the bits of the architecture to accomplish those features separately from the LLM part of the product?
- Marsymars 3mo agoYes? Or just call it a chatbot if you don't care about the implementation details.
- Wowfunhappy 3mo agoI wish I could wave a magic wand and just make the word "AI" go away. It has no actual meaning. It could mean anything from your opponent in Mario Kart to Stable Diffusion.
- oceanplexian 3mo agoI disagree. AI is doing exactly what it was predicted it would in science fiction. The computer can now literally talk to you in natural language and then perfectly produce sophisticated actions in response to completely arbitrary and unstructured input. It trivially passes the Turing test. By any definition prior to the year 2023 we are living with Artificial General Intelligence and it’s here now.
- goatlover 3mo agoSo where are the androids? If it's AGI, why is it used as a tool, waiting to be prompted or executed by humans? Where is Skynet? Military applications still rely on human operators.
- nextaccountic 3mo agoRobotics is advancing a bit slower, but is making progress as well.
- goatlover 3mo agoYes, but unlike a lot of science fiction, robots, LLMs and other AI remain tools for human use. Augmented Intelligence would have been the more accurate word for real world AI.
- p1esk 3mo agoYou realize llms as a field is barely 5 years old? Give it at least another 5.
- 3mo ago
- PacificSpecific 3mo agoRecently I heard some people conflate procedural generation and generative AI and I had to explain why there isn't some legal or ethical issue with what breaks down to essentially scattering some points. It's really getting annoying having to have these conversations.
- vlian2088 3mo ago[flagged]
- krainboltgreene 3mo agoThis is such a strange attitude to have. How can you look at the history of the world and be so caustic to concern?
- vlian2088 3mo agostrange how? in the history of the world, had there been a technology that's been wished out of existence by the concerned?
- kortilla 3mo agoPhrenology
- krainboltgreene 3mo agoLeaded gasoline.
- vlian2088 3mo agoyou know that's not what I meant. also, avgas.
- t-writescode 3mo agoWhat did you mean, then? Also, CFCs.
- vlian2088 3mo agothings like the ones I had enumerated in my first comment. I'm old enough to remember FUD about all of those and many others, and perceptive enough to identify many ongoing public opinion campaigns as such.
- graypegg 3mo ago"AI" is a term cursed by cool sci-fi implications. It makes it a kick ass marketing term because most people are going to have some familiarity with sci-fi AI and "X media predicted Y technology" is a pretty widespread belief for a lot of values of X (star trek, Hitchhikers Guide to the Galaxy, Arthur C. Clarke) and Y (internet, cell phones, VR). If you want to tell someone we're making big strides in something, linking it into some popsci understanding of sci-fi being the great predictor of human achievement is low effort and high impact for quite a few people. People aren't trying to communicate accurately if their first priority is getting you excited about the thing!
- z3c0 3mo agoI miss "predictive analytics". Too boring and honest for marketers though.
- twnettytwo 3mo agoJust as more successful machine learning fields distanced themselves from the term during the AI winter, I suppose we will (and perhaps are?) be seeing them adopt it again, now that we are in an "AI summer".
- fragmede 3mo agoAs always, it's a matter of funding. Both inside academia and outside of it. I remember when nanotechnology was all the rage. Everyone flocked to writing grant proposals about their "nano" technology that was thousands or millons of nanometers, aka micrometers or even millimeters. Stupid but if it works it's not stupid. The old joke is what do you call AI that works? Machine Learning. The real question is how much compute do you need. With LLMs getting popular, so is compute. That's the real win for non-LLM technologies. The sheer availability of GPU capacity. Yes, it's expensive, but time in a GB300 supercomputer isn't even possible if they don't exist. Alexnet succeeded for many reasons but a big reason is that computers got good enough to apply those algorithms and techniques in practice. Outside of LLMs, what new AI/ML systems await us in the future? The LLM bubble popping, if it ever does, is going to leave us with supercomputer capacity going unused and available for cheap, meaning experiments that were once infeasibly expensive become practical. I can't afford $10 million to run a weather simulation, but at $1,000 for the same amount of compute, a lot more experimentation becomes practical.
- lo_zamoyski 3mo ago> AI can do a looot of things AI is not a real thing or a natural kind but a perspective. Whether something qualifies as "AI" or not cannot be decided by the objective features of the thing. Ergo, it can be defined at the author's pleasure. > conflating established and morally neutral activities in ML LLMs are no more or less morally neutral than other ML techniques.
- dataviz1000 3mo agoReinforcement learning can solve a Rubik’s Cube. A LLM that hasn’t been trained to solve a Rubik’s Cube can not.
- nitwit005 3mo agoPeople who work in marketing do not seem particularly concerned with accuracy, or even just making logical sense.