inference-lord

Joined 2 years ago

Karma
193
Submissions
113
Member since
Jan 15
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Recent submissions

Comment · 2 years ago
I work in open source (donations based) and I don't believe the internet has been ruined.
Comment · 2 years ago
I'm actually surprised people wake up an give two fucks about any of this to be honest. It sounds like people looking for things to complain about.

The "enshitification" of the internet makes me laugh.

Comment · 2 years ago
How much is 'modernity' screwing up your life right now?
Comment · 2 years ago
Don't worry, with generative AI, everyone's social media will look 10x more awesome and it will all be fake. Even wealthy people will take it to a new level.
Comment · 2 years ago
Yeah, also quite bad, I've seen the aftermath of this liquefaction in Japan. Whole apartment blocks topped over with seemingly good foundations.
Comment · 2 years ago
One thing which isn't discussed enough is how bad the Tsunami is environmentally. The coastline of Japan is absolutely littered with crap from the 2011 Tsunami. All manner of chemicals were sucked into the nearby sea, tires, carpets, hard and soft plastics, absolutely everywhere. It almost looks unrecoverable.

I know that seems like a non-issue in the grand scale of things, but Tsunami's of the past didn't do this. Most pollution was biodegradable.

I can't imagine what the coast of LA would look like after a similar event :(

Comment · 2 years ago
I think they're being factitious?
Comment · 2 years ago
I think you misinterpreted what I mean.

I'm not saying that they can't be more capable, I'm saying the guy can get a little overly excited about things which are hard to measure or quantify.

We're observing these systems and making up our own interpretations about how good they are at certain tasks, but it's not really easy to measure how much better or worse these things can be overall.

Your example about language translation is a good example of where these things aren't really "better", just different. I speak multiple languages and while these systems are fantastic, they can fail in ways a professional translator wouldn't and it doesn't seem to automatically know it failed and should fix itself.

The car example is also great because it again proves my point. We can easily measure a car and a person and workout a car is faster, but we can also see that a car can't walk. So it's faster but it;s also entirely different.

Comment · 2 years ago
I agree, in nearly every example I've seen, I see zero "understanding of physics" if anything it showed me the opposite.
Comment · 2 years ago
I recently saw Hinton give a talk where he very, very, very excitedly and confidently gave us an example to demonstrate how incredibly intelligent and creative LLMS are.

He asked an LLM a question, but he didn't give us the answer. He let us have time to answer it ourselves. Personally I knew the answer instantly. He gave us the answer and sort of assumed no one would've known the answer and then used it as as justification for how smart these systems were. It honestly didn't feel very reassuring to me and honestly, I'd be surprised if it wasn't a topic covered somewhere on the internet before. With all due respect to Mr Hinton, I felt it showed his age a bit honestly.

What is difficult about Hinton's statements is that he can't really give evidence to back up these sort of claims. How do you measure how much a person knows, and how do you objectively measure how much an LLM knows? How smart is an LLM? You can't really know. It seems almost rhetorical. How many notes in a saxophone ?

We can make observations but that's not a great way to measure anything precisely.

There is a limit to language and I think this is one of those topics where that limit is touched or even breached.I don't even know if "intelligence" is a sufficient enough word to describe what's going on with these systems. It's the best word we have but it doesn't seem to adequately describe what we're observing.

Comment · 2 years ago
Sometimes I do get the feeling that he is just slowing down and innovation and change just keep going at the same rate. He seems to parrot the same sort of ideas over and over again.

I find he can get really fixated on certain examples, things he has seen an LLM do and he can't seem to get beyond it, as if the singularity is at hand. Where as a 22 year old I work with just accepts the technology and tries to get work done with it.

Comment · 2 years ago
I guess this is what the singularity looks like?
Comment · 2 years ago
It says in the article 4000 people lost their jobs, not that 4000 jobs were created from AI.

Not that I disagree with you, but what new jobs as AI created?

Comment · 2 years ago
"Amy" can already answer many user questions, and will only improve with time.

The mantra of 2024

Comment · 2 years ago
Do you find a large database or spreadsheet that hold more information than you can "alien" too?

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