Live data from Hacker News

The short leash AI coding method for beating Fable

blog.okturtles.org

1–10 of 268 posts

Re: The short leash AI coding method for beating Fable

#4

There really wasn't much substance to this article.

It’s just parroting the current trope.

Last year it was, “AI is just a stochastic parrot.”

This year it’s, “AI can write the code, but a human still has to review it!” (Using AI, of course.)

Give it another year and the narrative will be: “Only AI is capable of reviewing code, and only AI can review the AI’s review. Humans just need to read the AI’s final opinion so they still have meaningful oversight.”

The goalposts keep moving. The certainty never does.

Re: The short leash AI coding method for beating Fable

#5

I'm curious whether Opus4.8 or similar can attain Mythos level through good system prompting and steering? You would expect this to work if it's true that the strength of Mythos is its unwillingness to quit before it gets a desired outcome

I think that Anthropic is gaslighting us with their new model releases. Specifically, I think they have some good base model and are just fine-tuning it until they achieve desired outcome, or the desired outcome is achieved accidentally as part of fine-tuning. My theory is based on the fact that as a long-term (if you can call it that way) Claude user I keep noticing the same patterns it outputs. It's not trivial but certainly possible to see when something has been written by Claude because it has a different style than GPT.

However they have quite good harness in their backend which is the actual model.

Re: The short leash AI coding method for beating Fable

#7
Seems hella inefficient.

Better method start to realizing that everything that every program do is data transformations and or movement

Then you ask llm to subdivide data in a tree along the domain model, classifing streaming vs storing nodes

Then for each node you discuss with the ai for the best data structure

Then you ask for an interface that fully encapsulate the structure and every mutation only allows to go from a valid state to a valid state and bidding else is allowed to touch the state

And that's mostly it just connect all the interfaces until input goes to monitor or to storage or to api or wherever the destination is

Re: The short leash AI coding method for beating Fable

#8

I'm curious whether Opus4.8 or similar can attain Mythos level through good system prompting and steering? You would expect this to work if it's true that the strength of Mythos is its unwillingness to quit before it gets a desired outcome

As a Mythos user (I’m part of Project Glasswing), I would say that abliterated models [1][2] produce similar, if not identical, results. While good prompting and steering won’t give Claude Opus 4.8 the same capabilities as Mythos (preview 1), using abliterated models (if you have the computational power to run the larger ones) will get you close to the same goals as people who have access to Mythos (preview 1) [3].

[1] https://huggingface.co/search/full-text?q=abliterated&type=m...

[2] https://webdecoy.com/blog/wtf-are-abliterated-models-uncenso...

[3] I specifically refer to “preview 1” because the newer versions (Fable 5 / Mythos 5) don’t appear to offer the same level of freedom as the very first version that I was able to use through Project Glasswing. This is one of the reasons why I continue running our massive security scans with “preview 1”, or at least I was running them until June 30, when the program’s policy changed.

Re: The short leash AI coding method for beating Fable

#9
This is probably slower than writing the code yourself. Doesn't make sense to me. Using an agent without YOLO mode is not wort it.

The way I rather do it is tightly control the output by skills written yourself, prompts, plans, etc. and have the closest possible outcome you would write yourself.

Post reply on HN