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Every Reason Why I Hate AI and You Should Too

malwaretech.com

11–20 of 57 posts

Re: Every Reason Why I Hate AI and You Should Too

#11
post #2

I'm on the image and video side of AI. I see the claims being levied against LLMs, but in the generative media world these models are nothing short of revolutionary. In addition to being an engineer, I'm also a filmmaker. This tech has so many orders of magnitude changes to the production cycle: - Films can be made 5,000x cheaper (a $100M Disney film will be matched by small studios on budgets of $20,000.) - Films ca…

Can you point to a film that has used this technology? Can you point to anything that substantiates those numbers? Genuinely asking, my mind is open to the possibility but I don't want to take it on faith. (I watched that Kalshi ad to be clear.)

Re: Every Reason Why I Hate AI and You Should Too

#12
> While Apple is still a major player in the AI space, they typically lean towards a preference for traditional AI. They’re almost certainly still doing LLM research in the background, but they’ve decided against dropping everything to go full throttle on the hype train. Ironically, this has started to make their investors, who have bought into the hype, quite upset. People are starting to question “why isn’t apply doing things with AI”.

It may very well be the case that Apple too finds themselves pressured into going all out on LLM

Besides my stance that LLMs can serve specific tasks very well and are likely going to take a place similar to spreadsheets and databases over the coming years, hasn’t Apple already? Rarely has Apple tried to appear so unified on one goal across their product stack as they did with Apple Intelligence, the vast majority of which is heavily LLM focused.

The Author appears to fully skip over their attempt and subsequent failure, which made the entire point the piece is trying to further rather unsubstantiated and made me check whether this wasn’t posted in 2022, even more for someone like myself who also is very confident that there is a large chasm between LLMs and whatever AGI may end up being.

Re: Every Reason Why I Hate AI and You Should Too

#13
"If a machine is consuming and transforming incalculable amounts of training data produced by humans, discussed by humans, and explained by humans. Why would the output not look identical to human reasoning? If I were to photocopy this article, nobody would argue that my photocopier wrote it and therefore can think. But add enough convolutedness to the process, and it looks a lot like maybe it did and can."

But its not copying it. That is the entire point. Its using the training data to adjust floating point numbers. If you train on a single data piece over and over again, then yes it can replicate it, just like you can memorize lines of a school play, but its still not copied/compressed in the traditional, deterministic sense.

You can't argue "we don't know how they work, or our own brains work with any certainty" and then over-trivialize what they do on the next argument.

People suffer brain damage and come out the other side with radically different personalities. What happened to "qualia", or "sense of self", where is their "soul". Its just a mechanistic emergent property of their biological neural network.

Who is to say our brains aren't just very high parameterized biological floating point machines? That is the true Occam's Razor here, as uncomfortable as that might make people.

Re: Every Reason Why I Hate AI and You Should Too

#14
post #7

"Yet, every time I tried to get LLMs to perform novel research, they fail because they don’t have access to existing literature on the topic. Whereas, humans, on the other hand, discovered everything humanity knows." Just because the author was unable to wrangle LLM to do novel research doesn't mean that it's impossible. We already have examples of LLMs either doing or aiding significantly with novel research.

It's a really weird claim too, because we don't magically communicate the research between minds either. You need a person to find, read, process the new research and the same applies to the LLM - either rag it or provide the whole relevant thing in context.

Re: Every Reason Why I Hate AI and You Should Too

#15
post #7

"Yet, every time I tried to get LLMs to perform novel research, they fail because they don’t have access to existing literature on the topic. Whereas, humans, on the other hand, discovered everything humanity knows." Just because the author was unable to wrangle LLM to do novel research doesn't mean that it's impossible. We already have examples of LLMs either doing or aiding significantly with novel research.

This comment would be more useful if you actually provided those examples.

I'm also a researcher and agree wholeheartedly with the article. LLMs can maybe help you sift through existing literature or help with creative writing, at most they can be used or background research in hypothesis generation by finding pairs of related terms in the literature which can be put together into a network of relationships. They can help with a few tasks suitable for an undergrad research assistant.

Re: Every Reason Why I Hate AI and You Should Too

#16
post #12

> While Apple is still a major player in the AI space, they typically lean towards a preference for traditional AI. They’re almost certainly still doing LLM research in the background, but they’ve decided against dropping everything to go full throttle on the hype train. Ironically, this has started to make their investors, who have bought into the hype, quite upset. People are starting to question “why isn’t apply d…

Apple failed to deploy LLM Siri for very old and boring organisation reasons https://au.pcmag.com/operating-systems/111073/apples-siri-st... Their problems seems unrelated to AI tech itself.

Re: Every Reason Why I Hate AI and You Should Too

#17
post #15
post #7

"Yet, every time I tried to get LLMs to perform novel research, they fail because they don’t have access to existing literature on the topic. Whereas, humans, on the other hand, discovered everything humanity knows." Just because the author was unable to wrangle LLM to do novel research doesn't mean that it's impossible. We already have examples of LLMs either doing or aiding significantly with novel research.

This comment would be more useful if you actually provided those examples. I'm also a researcher and agree wholeheartedly with the article. LLMs can maybe help you sift through existing literature or help with creative writing, at most they can be used or background research in hypothesis generation by finding pairs of related terms in the literature which can be put together into a network of relationships. They can…

https://arxiv.org/abs/2409.04109

> we obtain the first statistically significant conclusion on current LLM capabilities for research ideation: we find LLM-generated ideas are judged as more novel (p It's a bit better than just finding related pairs. And that's with sonnet 3.5 which is basically ancient at this point.

Re: Every Reason Why I Hate AI and You Should Too

#18
One mistake I think many make is to look at technology X and ascribe outcomes primarily to technology X.

AI is one in a long long long line of new technologies. It is generating a lot of investment, new corporate processes and directives, declarations like "new era" and "civilizational milestone," etc.

If someone thinks any of the above are wrong or misguided, it's a mistake to "blame" or look to AI as the primary cause.

The primary cause is our system: humans are actors in the US economic system and when a new technology is rolling out, usually the response is the same and differs only in magnitude.

Don't hate the player, hate the game.

Re: Every Reason Why I Hate AI and You Should Too

#19
post #2

I'm on the image and video side of AI. I see the claims being levied against LLMs, but in the generative media world these models are nothing short of revolutionary. In addition to being an engineer, I'm also a filmmaker. This tech has so many orders of magnitude changes to the production cycle: - Films can be made 5,000x cheaper (a $100M Disney film will be matched by small studios on budgets of $20,000.) - Films ca…

While in theory you're right - AI tools can "democratize" filmmaking - what will make them unique? There was another anecdote, someone saying "this AI can generate 30.000 screenplays in a day!". Which is cool but... who is going to read them?

In theory (idk it probably exists already) you can generate a script and feed it into an AI that generates a film. Novelty aside, who is going to watch it? And what if you generate a hundred films a day? A thousand?

This probably isn't a hypothetical scenario, as low-effort / generated content is already a thing, both writing, video and music. It's an enormous long tail on e.g. youtube, amazon, etc, relying on people passively consuming content without paying too much attention to it. The background muzak of everything.

As someone smarter than me summarized, AI generated stuff is content, not art. AI generated films will be content, not art. There may be something compelling in there, but ultimately, it'll flood the market, become ubiquitous, and disappear into the background as AI generated background noise that only few people will seek out or watch intentionally.

Re: Every Reason Why I Hate AI and You Should Too

#20
post #15
post #7

"Yet, every time I tried to get LLMs to perform novel research, they fail because they don’t have access to existing literature on the topic. Whereas, humans, on the other hand, discovered everything humanity knows." Just because the author was unable to wrangle LLM to do novel research doesn't mean that it's impossible. We already have examples of LLMs either doing or aiding significantly with novel research.

This comment would be more useful if you actually provided those examples. I'm also a researcher and agree wholeheartedly with the article. LLMs can maybe help you sift through existing literature or help with creative writing, at most they can be used or background research in hypothesis generation by finding pairs of related terms in the literature which can be put together into a network of relationships. They can…

> I'm also a researcher and agree wholeheartedly with the article.

The article says:

> Yet, every time I tried to get LLMs to perform novel research, they fail because they don’t have access to existing literature on the topic.

You say:

> LLMs can maybe help you sift through existing literature

> they can be used or background research in hypothesis generation by finding pairs of related terms in the literature

As far as I can see, these two positions are mutually exclusive. Aren’t you disagreeing with the article?

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