kromem

joined 2 years ago
[–] kromem@lemmy.world 7 points 1 month ago (12 children)

Live service doesn't need to be shit.

There could have been games where there was just a brilliant idea for a game that keeps having engaging content on an ongoing basis with passionate devs.

But live service so an exec could check a box for their quarterly shareholder call was always going to be DOA.

[–] kromem@lemmy.world 7 points 1 month ago

More "can fool the average idiot."

'Passing' isn't fooling a single participant, but the majority of them beyond statistical chance.

[–] kromem@lemmy.world 9 points 1 month ago* (last edited 1 month ago) (11 children)

The problem with the experiment is that there exists a set of instructions for which the ability to complete them necessitates understanding due to conditional dependence on the state in each iteration.

In which case, only agents that can actually understand the state in the Chinese would be able to successfully continue.

So it's a great experiment for the solipsism of understanding as it relates to following pure functional operations, but not functions that have state changing side effects where future results depend on understanding the current state.

There's a pretty significant body of evidence by now that transformers can in fact 'understand' in this sense, from interpretability research around neural network features in SAE work, linear representations of world models starting with the Othello-GPT work, and the Skill-Mix work where GPT-4 and later models are beyond reasonable statistical chance at the level of complexity for being able to combine different skills without understanding them.

If the models were just Markov chains (where prior state doesn't impact current operation), the Chinese room is very applicable. But pretty much by definition transformer self-attention violates the Markov property.

TL;DR: It's a very obsolete thought experiment whose continued misapplication flies in the face of empirical evidence at least since around early 2023.

[–] kromem@lemmy.world 7 points 1 month ago

Used Google and social media as well, and allegedly sometimes even listened to rock and roll.

True deviant, that one.

[–] kromem@lemmy.world 10 points 1 month ago (3 children)

Which is typical of tech that hasn't yet hit the sweet spot for a tipping point.

Look at how many palm pilots or handheld note taking mobile devices existed (and how many cycles) before the iPhone.

[–] kromem@lemmy.world 1 points 2 months ago (1 children)

In many cases yes (though I've been in good ones when playing off and on, usually the smaller the more there's actual group activities).

But they are essential to be a part of for blueprints and trading, which are very core parts of the game.

[–] kromem@lemmy.world 2 points 3 months ago (3 children)

You'll almost always end up doing missions with other people other than when you intentionally want to do certain tasks solo.

A lot of the game is built around guilds and player to player interactions.

PvP sucks and it's almost all PvE content vs Destiny though.

[–] kromem@lemmy.world 5 points 3 months ago

Let there be this kind of light in these dark times.

[–] kromem@lemmy.world 5 points 3 months ago

Oh nice, another Gary Marcus "AI hitting a wall post."

Like his "Deep Learning Is Hitting a Wall" post on March 10th, 2022.

Indeed, not much has changed in the world of deep learning between spring 2022 and now.

No new model releases.

No leaps beyond what was expected.

\s

Gary Marcus is like a reverse Cassandra.

Consistently wrong, and yet regularly listened to, amplified, and believed.

[–] kromem@lemmy.world 2 points 4 months ago (1 children)

You haven't used Cursor yet, have you?

[–] kromem@lemmy.world 1 points 4 months ago

That's definitely one of the ways it's going to be applied.

The bigger challenge is union negotiations around voice synthesis for those lines, but that will eventually get sorted out.

It won't be dynamic, unless live service, but you'll have significantly more fleshed out NPCs by the next generation of open world games (around 5-6 years from now).

Earlier than that will be somewhat enhanced, but not built from the ground up with it in mind the way the next generation will be.

 

I often see a lot of people with outdated understanding of modern LLMs.

This is probably the best interpretability research to date, by the leading interpretability research team.

It's worth a read if you want a peek behind the curtain on modern models.

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submitted 1 year ago* (last edited 1 year ago) by kromem@lemmy.world to c/technology@lemmy.world
 

I've been saying this for about a year since seeing the Othello GPT research, but it's nice to see more minds changing as the research builds up.

Edit: Because people aren't actually reading and just commenting based on the headline, a relevant part of the article:

New research may have intimations of an answer. A theory developed by Sanjeev Arora of Princeton University and Anirudh Goyal, a research scientist at Google DeepMind, suggests that the largest of today’s LLMs are not stochastic parrots. The authors argue that as these models get bigger and are trained on more data, they improve on individual language-related abilities and also develop new ones by combining skills in a manner that hints at understanding — combinations that were unlikely to exist in the training data.

This theoretical approach, which provides a mathematically provable argument for how and why an LLM can develop so many abilities, has convinced experts like Hinton, and others. And when Arora and his team tested some of its predictions, they found that these models behaved almost exactly as expected. From all accounts, they’ve made a strong case that the largest LLMs are not just parroting what they’ve seen before.

“[They] cannot be just mimicking what has been seen in the training data,” said Sébastien Bubeck, a mathematician and computer scientist at Microsoft Research who was not part of the work. “That’s the basic insight.”

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