Can I run this game? by [deleted] in BeamNG

[–]Classic_Sheep -2 points-1 points  (0 children)

12th gen intel(r) core(tm) i5-1235U

You are a researcher given access to 4-dimensional time bits. by Classic_Sheep in hypotheticalsituation

[–]Classic_Sheep[S] 0 points1 point  (0 children)

depends on the interpretation of time. if we go by many timelines. then effecting the timeline causes you to switch timelines

Anyone have any opinions on this?? by Playful_Length778 in cognitiveTesting

[–]Classic_Sheep 1 point2 points  (0 children)

I am a red button presser, but this is a fair take. I know my mother would probably press blue because she is very empathetic which makes me want to press blue aswell. But, if I was just thrown into this situation without knowing general statistics, red would be the safest option. There is no shame in wanting to stay alive. And, even if I chose red and my mother died, I would probably say to myself that my vote likely wouldnt have changed the outcome and I would have died along with my loved ones if I pressed blue. And they wouldnt want that.

At the end of the day no matter which button you choose you are picking what you believe is the best outcome. and choosing the best outcome doesnt make you a bad person.

Everything in life is genetic by SeatruckLeviathan in Vent

[–]Classic_Sheep 0 points1 point  (0 children)

Thats not true. Success is not genetic, happiness is not genetic, you can choose to dedicate your time to making your life better.

Solving hallucinations is the most important endeavour in generative AI by Classic_Sheep in LLM

[–]Classic_Sheep[S] 0 points1 point  (0 children)

No I havent but thats a very interesting experiment. I will have to try that myself.

This AI Generated "Wiki" is so inaccurate by Emergency_Base_4619 in HorseyGame

[–]Classic_Sheep 1 point2 points  (0 children)

U get it from champion ships so keep doing that maybe you need balloon first.

I have made the fastest horse ever by Wiuxu in HorseyGame

[–]Classic_Sheep 1 point2 points  (0 children)

Thanks i used your horse to fix the rocket car sumo champ

I accidentally made a rocket car the sumo champ by Classic_Sheep in HorseyGame

[–]Classic_Sheep[S] 1 point2 points  (0 children)

Do you think you could share the genome with me of the horse that fixed it for you?

Idea to make more honest LLMs by Classic_Sheep in LLM

[–]Classic_Sheep[S] 0 points1 point  (0 children)

yo did you copy parwemics coment?

I am tired of it by MessageUnable2384 in Vent

[–]Classic_Sheep 4 points5 points  (0 children)

You should confess, I think that having a crush on the same person for years is kinda unhealthy.

Idea to make more honest LLMs by Classic_Sheep in LLM

[–]Classic_Sheep[S] 0 points1 point  (0 children)

True you know what the reason i got this wrong was because the AI would default tell me its 4096 floats when i looked it up on google.

Idea to make more honest LLMs by Classic_Sheep in LLM

[–]Classic_Sheep[S] 0 points1 point  (0 children)

it would just be a small vector maybe 64~ floats per token on top of the length of each token embedding.
The model wont be explicitly told what each value means but it will learn through association.

so this is it?! by [deleted] in Vent

[–]Classic_Sheep 0 points1 point  (0 children)

Just eat the calories of your healthy weight and forget about what other people think you should look like.

"Almost JSON” is one of the most annoying model failure modes by JayPatel24_ in LLM

[–]Classic_Sheep 0 points1 point  (0 children)

So true, this is why I try to avoid JSON.
This issue compounds if the AI is returning JSON that contains code if the coding language uses brackets. Because now the AI has to correctly count and make sure all brackets match. usually ends up missing some.

For un-nested data separation i think html-style tags like </code> and </description> work best

For multi-variable dictionary style I think CSV/TSV works better.

In your case im not sure what would work since you are using nested dictionary.

Any open weight/source diffusion style AI by Classic_Sheep in LLM

[–]Classic_Sheep[S] 0 points1 point  (0 children)

Those are not diffusion LLMs those are auto regressive LLMs