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11 mo. ago

  • It is common to apply new technologies to fields they have not been used before if the technology seems promising. In most cases if you have to rely on the technology you test whether it works better than your previous approach. I am sure that the US army has resources to do such tests. Indeed, testing in house is not the same as in a real world, but assuming no tests were performed is naive and treating the largest as army in the world as an organization working like a high school student preparing the exam on the night before.

    Also, the fact they got a worse outcome than relying on experts

    I'm not sure why you say this, I'm afraid this kind of information only the US military has access to. They may diffuse the information because they got great results or as false flag; difficult to know what is real in these cases.

    On a broader note, the results of a war tend to follow the better leaders.

    War tends to be won by good strategy, tactics do play a role, but without good strategy good technologies are worthlessness. The US lost in a despicable way several wars, they did not do well in Afghanistan, and they were fighting an occupied country with no resources.The current war is a terrible thing happening, but it is not comparable. This is occupying a broken country versus attacking a developed country who has been preparing for war for many years and with a large population, with a very difensible geography. I do not know exactly why the US decided to start this war, this is not public information; however the two wars are not comparable. Even taking out of the equation the alliance with Israel and being brought into other conflicts, attacking Iran is not comparable to attacking Afghanistan. I would not place the blame on the incompetence of the army; indeed generals had plans to attack Iran, as they do for many countries of relevance for their national. The decision to attack is of the government. The job to execute a ch attack is of the army. The idea is that the army talks to the government before the attack happens, if it difficult or impossible the army would stop the government before it happens. I can not know what happened in this case. I don't know whether the army was overconfident in their ability to attack or if the government ignored their advice not to attack. Their war is not doing well, but this is not necessarily the fault of the generals; if they have to fight a war they can not win it is difficult to blame them for not winning it.

  • We have a different opinion here. I don't think general public has an understanding of the difference between the two things. It may be useful to teach people about it, but I'm not sure how much it would help. People understand generative AI when they hear AI because it's been the only thing they've been in direct contact with. Despite them using ML every day in different aspects of their life this is not something they get to know about. LLMs are different since they directly use the model.

    I feel it is good people are getting to know ML and the fact that it is a useful technology; the fact that currently it is associated with LLMs is a side effect. It probably would be better if it wasn't that way, but I do not see it as a big problem.

    On the fact that it is polarizing, sure that is currently the case; probably it won't be so in 10 years. That is nothing compared to the past 70 years in which ML has been used and applied in several fields with great success without anyone knowing it even existed.

  • I work in the field of machine learning as a researcher. There is no distinction. Machine learning is a set of techniques, Artificial Intelligence is a synonym which became popular in recent years.

    Generative AI only defines how a model is used, not what the model is. You might as well use a kNN model to do generative AI. Generative AI is machine learning. More specifically it is an application of supervised machine learning.

    Some people have started distinguishing machine learning to identify classical models and AI to definite stuff that uses deep learning.

    If you want to be specific you may use the name of the specific model, but that's a bit too much for an article title. Otherwise, the term AI is quite appropriate in this context and far more recognized than ML.

    And me myself never say AI, I don't like too much that it ingrains some feeling of intelligence; but for these articles i feel it is appropriate.

  • Sorry, I'm not from the US. Does that include generals and army technicians? In most countries the government does not have direct power over the internal organization of the army, I don't know how it works in the US.

  • The results of the war do not depend solely on the quality of a single tool or weapon.

    The US has better weapons overall and is not winning, thus it is not a way to discriminate whether this technology is useful or not.

  • I doubt the government directly manages military decisions. I'd imagine the people taking these decisions are in that position regardless of which party is at the government.

  • I'd imagine they measured metrics of other automated systems and compared with LLM and found out LLM works best.

    It's not like traditional machine learning models are suddenly perfect and work in all cases.

  • Well, apparently journalists here are doing a good job and actually understand that generative AI and machine learning models pertain to the same family of techniques.

  • Sorry if I ask, what does it mean to remotely start air conditioning?

    Do you mean you can start it while you are not in the car? What's the purpose of such a feature?

  • I'm not grasping what you want to say.

    The turing test is an outdated test, it has been an important milestone but nobody working on computer sentience either philosophically or scientifically considers it a valid test anymore.

    According to the turing test, LLMs are sentient beings. The widespread opinion is that they are not.

  • The turing test is not relevant anymore. Any LLM would pass the turing test without much problems.

  • That is still a long way from an LLM

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  • Mosquitos, all of them. Ecosystem will equilibrate eventually and all will be fine.

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  • Stuck at thermodynamics and can't even see statistical mechanics at the top of the hill...

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  • Don't know about you, but buffet is a terrible way of eating.

    I much prefer those conferences where a meal in a restaurant is offered and then everyone gets drunk and young researchers end up talking about their posters at 4 in the morning in a night club.

  • That's very cool. Or do you prefer only tech giants to be able to make AI and have a monopoly over it?

  • Hopefully this forces tech companies to discuss with the government regarding the increase in walking space and reduction of car traffic in inhabited areas.

  • I have no reason to pay for the office suite when LibreOffice Is nowadays a very valid alternative which is completely free.

    365 on the other hand, despite being a steaming piece of shit, is something to which a real alternative does not exist. I really hope an alternative comes up, hopefully this euro office becomes something usable.

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  • Fuck publishers, the only reason I go along is that it is necessary for my career. If I could I'd publish everything on my own website. You're very welcome to ask me for any paper I published.