DefineOutside
Joined 4 years ago
Joined 4 years ago
But it does output some weird text if you ask it to "Play Minecraft", it outputs some weird "End Poem" from the game that's warped to it's chatbot roleplaying. Other things don't output this type of response.
Flagship OpenAI/Anthropic models refuse this task due to "Cybersecurity" so I have no idea how good flagship models do. It's unfortunate as IMO minecraft is a sandbox
Java clients (pc version) use the actual game's files modified to not open a window. Minecraft is source available, anyone can load it into an IDE, modify it to double jump height, and run it in minutes without an unmodified server caring. Bedrock clients (the version for phones) just figure it out based on packets and how the anticheat corrects them to what the movement should be.
I give it access to write manual packet sequences and a server to try to break my logic, such as crashing the application, giving it an open ended arena to fall 10 blocks without taking damage, or just trying to jump higher than usual.
It requires a bit of pushing to know what type of issues it should even be looking for. Telling it to move even just 0.00001 blocks upwards to reset fall damage mid-fall. Telling it to figure out how to fake being on the ground to jump mid-air to reach the impossible platform. This all used to be done manually, but paying a couple dollars to run it overnight and attempt to find bypasses is worth the cost.
I haven't figured out how to run LLMs to write code 24/7 yet, they just can't see the big picture.
Java does save chunks after generation, likely due to world gen updates not seamlessly transitioning with older versions of the game and PCs not caring about save size.
Who is using Fable?
At work, it was able to one shot a dashboard. Of course, my prompts are vague as I'm not exactly sure what I want yet, but it did a better job than I could do as a backend dev forced to work on frontend sometimes.
Usage is also great, it just feels so much more efficient than older models in terms of thinking and time. Cost is barely better though.
It can burn a million tokens in less than a minute, at least at launch where there's likely less load on the servers.
At home, it feels like I'm fighting the AI less while letting it refactor code. I'm glad that I left this 12,000 line vibe coded port of a hand written codebase to future models to refactor. It feels like the model has better judgement than old models that would destroy your codebase so long as it meant accomplishing your prompt.
I'm almost disappointed that it's this good.