rytill
Joined 9 years ago
Joined 9 years ago
You also didn’t clarify your position at all.
Explain why there is any benefit to outputting raw machine instructions compared to writing shorter, more interpretable, modifiable, extensible code and then using a compiler to turn it into machine code.
Why are agents not going to use compilers in the future?
Unless by bits you just mean text in general, or any data since it’s all bits, in which case what you’re saying is trivially already true.
It seems like you’re saying that long term LLMs will output pure machine code as the most effective way to use them.
I actually checked HN rules and just saw this:
> Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting.
So, there you go, I guess.
The substance <> narrative relationship is backwards a lot of the time. Someone does something for a nebulous multitude of reasons, and then post-hoc fits their decision-making into a logical explanation that sounds nice.
There is some psychology research supporting this as well.
I suppose if you see the narrative itself as part of the release, that might be interesting. But most of the time I’d rather just hear plainly and straightforwardly what the thing is.
Or at the very least, I am very accepting of releases which do not include rationalization / narrativization and don’t think it’s required to include.
In the case of real world LLMs and post-training, what is above average is defined roughly as: labeled good by expert humans, and scoring high on RL environments related to coding like debugging, passing tests, or running efficiently and verifiably correctly.
Then, by giving them context or by post-training, you can make them sample non-average parts of the distribution they learned.
One thing I noticed: "Your Tools: Aether agents get tools exclusively via MCP servers." "...Aether ships with 1st-party MCPs for file system operations..."
Can you share your thoughts on why you decided to use MCP as the core tool abstraction? I have heard many decry MCP as being context-wasteful. Is this not the case with your agent?
It seems like the biggest factor has nothing to do with AI, but instead that you went from being someone who admits they don’t know how consciousness works to being someone who thinks they know how consciousness works now and can make confident assertions about it.
It sounds like a good idea to me!
Small suggestion: too many queues can make it very difficult to build up a network of players at first. I'd suggest, for now, lowering the amount of available time control queues so that two players who happen to be on at the same time are more likely to actually find a game.