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Whenever someone brings up "AI", I tell them AI is not real AI. Machine learning is a more apt buzzword. And real AI is probably like fusion. Its always 10 yea
by Topgamer7 1y ago
Whenever someone brings up "AI", I tell them AI is not real AI. Machine learning is a more apt buzzword.
And real AI is probably like fusion. Its always 10 years away.
- CharlesW 1y ago> Whenever someone brings up "AI", I tell them AI is not real AI. You and also everyone since the beginning of AI. https://quoteinvestigator.com/2024/06/20/not-ai/ https://quoteinvestigator.com/2024/06/20/not-ai/
- zamadatix 1y agoPeople saying that usually mean it as "AI is here and going to change everything overnight now" yet, if you take it literally, it's "we're actually over 50 years into AI, things will likely continue to advance slowly over decades". The common thread between those who take things as "AI is anything that doesn't work yet" and "what we have is still not yet AI" is "this current technology could probably have used a less distracting marketing name choice, where we talk about what it delivers rather than what it's supposed to be delivering".
- lo_zamoyski 1y agoAI is in the eye of the beholder.
- huflungdung 1y ago[dead]
- adastra22 1y agoMachine learning as a descriptive phrase has stopped being relevant. It implies the discovery of information in a training set. The pre-training of an LLM is most definitely machine learning. But what people are excited and interested in is the use of this learned data in generative AI. “Machine learning” doesn’t capture that aspect.
- hnuser123456 1y agoIt's a valid term that is worth introducing to the layperson IMO. Let them know how the magic works, and how it doesn't.
- adastra22 1y agoMachine learning is only part of how an LLM agent works though. An essential part, but only a part.
- sdenton4 1y agoI see a fair amount of bullshit in the LLM space though, where even cursory consideration would connect the methods back to well-known principles in ML (and even statistics!) to measure model quality and progress. There's a lot of 'woo, it's new! we don't know how to measure it exactly but we think it's groundbreaking!' which is simply wrong. From where I sit, the generative models provide more flexibility but tend to underperform on any particular task relative to a targeted machine learning effort, once you actually do the work on comparative evaluation.
- adastra22 1y agoI think we have a vocabulary problem here, because I am having a hard time understanding what you are trying to say. You appear to be comparing apples to oranges. A generation task is not a categorization task. Machine learning solves categorization problems. Generative AI uses model trained by machine learning methods, but in a very different architecture to solve generative problems. Completely different and incomparable application domain.
- sdenton4 1y agoAnd yet, people very often find themselves using generative models for categorization and information retrieval tasks...
- 1y ago
- CSSer 1y agoThe best part of this is I watched Sam Altman say he really thinks fusion is a short period of time away in response to a question about energy consumption a couple years ago. That was the moment I knew he's a quack.
- ctkhn 1y agoNot to be anti YC on their forum, but the VC business model is all about splashing cash on a wide variety of junk that will mostly be worthless, hyping it to the max, and hoping one or two is like amazon or facebook. He's not an engineer, he's like Steve Jobs without the good parts.
- 2OEH8eoCRo0 1y agoFusion is known science while AGI is still very much an enigma.
- timeon 1y agoHe had to use distraction because he knows that he is doing part in increasing emissions.
- jacobolus 1y agoAltman recently said, in response to a question about the prospect of half of entry-level white-collar jobs being replaced by "AI" and college graduates being put out of work by it: > “I mean in 2035, that, like, graduating college student, if they still go to college at all, could very well be, like, leaving on a mission to explore the solar system on a spaceship in some completely new, exciting, super well-paid, super interesting job, and feeling so bad for you and I that, like, we had to do this kind of, like, really boring old kind of work and everything is just better." Which should be reassuring to anyone having trouble finding an entry-level job as an illustrator or copywriter or programmer or whatever.
- rightbyte 1y agoSo STNG in 10 years? edit: Oh. Solar system. Nvm. Totally reasonable.
- 1y ago
- wilg 1y agoArguing about the definitions of words is rarely useful.
- Spare_account 1y agoHow can we discuss <any given topic> if we are talking about different things?
- IanCal 1y agoWell that's rather the point - arguing about exceptionally heavily used terminology isn't useful because there's already a largely shared understanding. Stepping away from that is a huge effort, unlikely to work and at best all you've done is change what people mean when they use a word.
- bcrosby95 1y agoThe point is to establish definitions rather than argue about them. You might save yourself from two pointless arguments.
- Root_Denied 1y agoExcept AI already had a clear definition well before it started being used as a way to inflate valuations and push marketing narratives. If nothing else it's been a sci-fi topic for more than a century. There's connotations, cultural baggage, and expectations from the general population about what AI is and what it's capable of, most of which isn't possible or applicable to the current crop of "AI" tools. You can't just change the meaning of a word overnight and toss all that history away, which is why it comes across as an intentionally dishonest choice in the name of profits.
- layer8 1y agoMaybe do some reading here: https://en.wikipedia.org/wiki/History_of_artificial_intelligence#Early_successes_(1956–1974) https://en.wikipedia.org/wiki/History_of_artificial_intellig...
- bcrosby95 1y agoAI is an overloaded term. I took an AI class in 2001. We learned all sorts of algorithms classified as AI. Including various ML techniques. Under which included perceptrons.
- porphyra 1y agoback in the day alpha-beta search was AI hehe
- pixelpoet 1y agoAs a young child in Indonesia we had an exceptionally fancy washing machine with all sorts of broken English superlatives on it, including "fuzzy logic artificial intelligence" and I used to watch it doing the turbo spin or whatever, wondering what it was thinking. My poor mom thought I was retarded.
- porphyra 1y agoMy rice cooker also has fuzzy logic. I guess they just use floats instead of bools.
- timidiceball 1y agoThat was an impressive takeaway from the first machine learning course i took: that many things previously under the umbrella of Artificial Intelligence have since been demystified and demoted to implementations we now just take for granted. Some examples were real world map route planning for transport, locating faces in images, Bayesian spam filters.
- brandonb 1y agoAndrew Ng has a nice quote: “Instead of doing AI, we ended up spending our lives doing curve fitting.” Ten years ago you'd be ashamed to call anything "AI," and say machine learning if you wanted to be taken seriously, but neural networks have really have brought back the term--and for good reason, given the results.
- layer8 1y agoAI is whatever is SOTA in the field, has always been.