nayroclade
Joined 4 years ago
Joined 4 years ago
Generally, anyone talking about next token prediction being some limiting factor of LLM capability is a good reason to ignore them, as they haven't updated their understanding of LLMs since 2023 or so.
While it's easy to dismiss that view in hindsight, it's worth considering that von Neumann had personally witnessed the rise of the Nazis and had to flee along with many of his friends and family. And he had seen that regime defeated only by military strength of the USA. And while the USSR and USA never did end up in a nuclear war, it really was only by a series of miracles that it was avoided. I think most historians of the 20th century would agree we got very, very lucky.
I do think many (including me) were surprised that software engineering would be the first kind of knowledge work to be successfully automated. We assumed it would be one of the last, because we'd be the industry using AI to replace everyone else, not the industry using AI to replace ourselves.
Activists decry police murder of protester
Activists decry police "murder" of protester
The first implies that the police murdering the protestor is an established fact. The second makes it clear that it is the activists who used the term "murder" rather than it being a non-contentious fact.
So yes, the models do seem to be "solving" the problems themselves, but not necessarily in the way we think of mathematical discoveries happening. Academic mathematics has historically been resource constrained: There are a limited number of top-level mathematicians, and they only have so much time and brain power to spend. So when approaching a problem, they are essentially forced to be as efficient as possible, not just searching for a solution, but for one that can be achieved within their cognitive budget. This induces them to develop novel techniques and abstractions, and it is actually those techniques and abstractions that tend to be the valuable part for further research, not the proof itself.
An agentic swarm is like getting a single skilled mathematician, cloning them a hundred times, then locking them in a room with the single objective of solving a problem. No longer constrained by time or brain power, they can approach it differently, using pre-existing techniques to gradually build their way to a solution. This process might not require a single intuitive leap or new discovery, and the solution will not be simple or elegant, but they will probably get there. It is more like a process of intelligently guided search than invention.
You can argue their mandate is invalid due to the first-past-the-post system, but in that case the original decision to hold a referendum, and all subsequent governments that negotiated the terms of the EU exit are also invalid, since they all derived from first-past-the-post elections.
Personally I liked TP1 a lot for the most part, but I agree that the ending was a horrible misstep. I'm not adverse to metafiction, and this is Gilbert after all, that's kind of his jam, but the sheer nihilism of it all left a horrible taste in the mouth. Ironically, for someone who cares so deeply about game design, it felt like an ending entirely borne of Gilbert and his fellow designers pleasing themselves, instead of thinking about how it would feel for the player.
That said, I'm still glad there's going to be a sequel. Hopefully it has more of what I liked and less of what I didn't.