LLMs need to compress information to be able to predict next words in as many contexts as possible.
Chess moves are simply tokens as any other.
Given enough chess training data, it would make sense to have part of the network trained to handle chess specifically instead of simply encoding basic lists of moves and follow-ups. The result would be a general purpose sub-network trained on chess.
Adding to my sibling comment, time is also mostly used as a coordination system.
Being offset by a few minutes would make aligning meetings with your remote coworker an even bigger nightmare than it is now.
Using caps doesn’t make this affirmation any more true.
While you’re correct that it does massively help, money is only a resource, which you can use to trade for a lot of things, but there are people, things and abstract concepts that money can’t buy.
Smart people don’t consider themselves better than people around them.
This article is so annoying.
It has some truth to it, e.g. the mismatch between incentives and success, or even the corporate bullshit to avoid saying hard truths are on point.
But the second part lacks the proper reasoning needed to establish the self-proclaimed intelligence of it author.
Comparing software development’s product building with fencing competitions is so far-fetched, yet most of the arguments of the second part build on this premise.
You don’t need amazing individuals to build a great thing, what you need is a great team. That’s why most people try to address the system. It’s hard to do when you factor in individual incentives, but it’s not because everybody is dumb, it’s because everybody (smartly) addresses their own self-interests above the company’s.
Of course you patch it, but you don’t assume that every system affected by this 0-day got exploited.
You try to check if some were and it’s obvious that people at Microsoft are doing exactly that.
Not saying that MS’s response was great, but I agree with GP that the whole thing is hyberbolic.
Chess moves are simply tokens as any other. Given enough chess training data, it would make sense to have part of the network trained to handle chess specifically instead of simply encoding basic lists of moves and follow-ups. The result would be a general purpose sub-network trained on chess.