More "can fool the average idiot."
'Passing' isn't fooling a single participant, but the majority of them beyond statistical chance.
More "can fool the average idiot."
'Passing' isn't fooling a single participant, but the majority of them beyond statistical chance.
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.
Used Google and social media as well, and allegedly sometimes even listened to rock and roll.
True deviant, that one.
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.
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.
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.
Let there be this kind of light in these dark times.
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.
You haven't used Cursor yet, have you?
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.
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.