The more I use Fable the more impressed I am with it. I am still learning how to use it, same with gpt-5.6-sol. I don't think the model has changed much, but both models have gotten smarter in leaps and bounds as I've improved the documentation, context, how I provide work to them and how I specify success.

(And generally that consists of keeping only the very most relevant details and deleting a lot of the boilerplate I used to need for other models, it's a great trend.)

I am excited for the next tier of models, but I could readily work for the rest of my career feeling like I have superpowers with only what we have right now. I'm also very excited for the idea of these same strength models getting faster, and much, much cheaper.

▲

benfortuna a day ago | parent [-]

>I am still learning how to use it

I find it interesting that we are still talking in terms of modifying our behaviour to accommodate the tools. Surely the point of LLMs is not to "learn how to use it" but as an extension of our own unique capabilities - the most personalised tool in all of history.

	▲	siffin a day ago \| parent \| next [-]
		The point of any tool is to learn how to use it best. That's the difference between slicing off your arm, or building a chair. LLMs don't read minds. There's always a chasm between you (your ideas) and them becoming reality. Exactly how people cross that chasm is all the rage right now, and there are a million ways to do it - but just expecting the LLM to pull details out of a few words isn't going to produce anything decent.
	▲	embedding-shape a day ago \| parent \| prev \| next [-]
		You're gonna need both to be able to work with it effectively though, just like working with your hands and wood isn't the same as working with abstract architectures via characters and words on a screen, like we've done since the beginning of programming with English language rather than just numbers and formulations, like how it was in the beginning. Going further, even programming languages "asks" that you change the way you work to make the most use of them. A Clojure developer has a very different development process than a Rust developer, and they're both efficient, right and correct in their ecosystem, but the experience differs vastly and Clojure for example would change you to fit itself, rather than the opposite.
	▲	jaggederest a day ago \| parent \| prev [-]
		I think I would actually characterize it as a mutual change - obviously the model doesn't change as far as I can tell, but changing the harness and context changes its behavior so wildly that it might as well. Bit of a pas de deux - I learn, I change the context to teach it, it teaches me in turn, rinse and repeat.