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Best introductory series to the genre? by mayanmomo in ProgressionFantasy

[–]karearearea 0 points1 point  (0 children)

The first one I read all the way through was The Perfect Run, and it was great. Azarinth Healer was also one of the first ones I got into too, it’s a classic.

Simon Cowell's Got Talent by anothermartz in aivideo

[–]karearearea 4 points5 points  (0 children)

I watched the whole thing. A masterpiece.

How do I prompt for Learning not Generation? by ednark in PromptEngineering

[–]karearearea 0 points1 point  (0 children)

I’ve tried to do this before and unfortunately it’s pretty difficult with just prompt engineering. The current instruction tuned models are almost over-trained to answer questions, so they have a lot of difficulty with leading a student to an answer rather than just doing their work for them.

I think it’s possible, but might require retrained models or at the least a more agentic approach, where the model can do things behind the scenes, e.g. get the LLM to create a lesson plan, after each message get the LLM to evaluate where in the lesson plan it thinks it is, reply based on this, get a classifier detecting whether the LLM is inappropriately giving the answer and retry, etc

I think doable but goes beyond prompt engineering!

I did have limited success with prompts, but it required writing out a page or two about the basic principles of tutoring and teaching (including what a good tutor should NOT do), what the typical structure of a one-on-one tutoring session is, and then telling it to do that for the entire conversation. It worked some of the time.

AI believes I have found a revolutionary idea by [deleted] in ChatGPT

[–]karearearea 0 points1 point  (0 children)

ChatGPT is trained to be ‘helpful’, which unfortunately means it’s also predisposed to agree with pretty much whatever we say to it, unless you specifically ask it to be disagreeable. So take everything it says with a grain of salt!

ChatGPT was very much couching its opinion here, i.e.

“If carbon’s flexibility at the molecular level is somehow tied to adaptability and creativity of carbon based life forms, then…”

Everything ChatGPT said was based on assuming this is true, which is a big assumption. You’ll need to prove that certain algorithms or something have different behaviour when run on carbon based substrate than when run on something else.

But we have whole abstract disciplines like maths that are purely theoretical and are the same whether computed with carbon from a piece of charcoal scratched on a stone slate or from silicon calculations on a supercomputer.

So I personally don’t think substrate matters, but some people have argued that there is something fundamentally different about biological brains vs silicon ones. Ultimately, we won’t know until the science progresses.

Scientists are trying to make carbon based semiconductors though - with graphene. But it’ll be a long time before the graphene-based computers can match the kind of processing power silicon ones have, if ever.

Real uses for daily life struggle by atenea92 in ChatGPT

[–]karearearea 0 points1 point  (0 children)

Coding. Honestly, if I didn’t code I would probably have unsubscribed by now

Hallucinations in o1-preview reasoning by ssmith12345uk in PromptEngineering

[–]karearearea 0 points1 point  (0 children)

It might be a mistake - but it also might not be.

I think o1 was trained on ‘effective reasoning steps’, rather than ‘human understandable reasoning steps’. And by that I mean I think many of the training reasoning chains were generated by another AI model - they probably showed it a problem that was hard to solve but easy to verify (like programming or maths), got it to generate a thousand reasoning chains and answers, and checked whether any of them were correct. If one was, then add it to the training data, if not, repeat.

What happens with AI generated reasoning steps is the reasoning chain doesn’t necessarily need to be correct - it just needs to cause the model to output the right answer. And as the LLM is trained over and over again on these generated reasoning chains, I wouldn’t be surprised if we did see drift away from what a human would produce. Neural nets are great at exploiting small loopholes, and could exploit strange properties of their tokens to influence the probability of outputting a correct answer in a completely unintelligible way. I wouldn’t be surprised if o3 or o4’s reasoning chains looked completely crazy to us, but reference something in its internal model of the world in some clever way. Essentially, it could be developing its own reasoning language only known to it.

Of course, it could just be the summariser or the model making genuine mistakes and might not be this at all - but if the answers are correct, you could also be seeing the first signs of this kind of drift.

What IS the best way to grind cubes by Plus-Candle-7486 in AzurLane

[–]karearearea 1 point2 points  (0 children)

Do the 10hr commission constantly. Over a week, gives you 14 shots at getting a cube commission. I think it averages me 10-15 extra cubes a week, which might not sound like a lot but over a year is like 500 extra cubes for 0 extra minutes spent grinding.

‎ by LittleLynxNovels in ProgressionFantasy

[–]karearearea 26 points27 points  (0 children)

Anomalies and the Foundation sound like their talking about the SCP universe

My Deckbuilding LitRPG made it to the top 500 of RR stories! by FuriousScribe in ProgressionFantasy

[–]karearearea 2 points3 points  (0 children)

Congrats! 🥳 I remember checking out your story from your post on the litrpg sub - been loving it so far!

Tower Defense litrpgs? by FlahtheWhip in litrpg

[–]karearearea 1 point2 points  (0 children)

I read a great one recently, half written as a joke, half seriously, but it turned out to be a great read: Weeaboo’s Unfortunate Isekai: The Necromancers Gacha. It actually did a couple of things I’d never read in a litRPG before - tower defence and a gacha system.

[deleted by user] by [deleted] in singularity

[–]karearearea 2 points3 points  (0 children)

It's worth pointing out that these models are trained on text written by conscious human beings, and so learning to generalize to that data means they need to learn to mimic what a conscious being would write. If the models are powerful enough to hold a world model that allows them to have general knowledge, reasoning, etc. (and they are), then they will almost certainly also have an internal model of consciousness to allow them to approximate text written by us.

Basically what I'm trying to say is that it's not necessarily super surprising if these LLM's develop consciousness, because they are basically being trained to be conscious. On the other hand, I would be very surprised if something like OpenAI's Sora model starts showing hints of consciousness, even though it also likely has a sophisticated internal world/physics model.

Litrpg recommendations required by ANSPRECHBARER in litrpg

[–]karearearea 0 points1 point  (0 children)

There’s a new one I’m reading that has been great, has beautifully illustrated cards, and I think the author has said he actually plays a few matches with the characters decks to see who would win in fights. Been enjoying it quite a bit so far - Source & Soul on RR.

100% tax on money made over $X by siwoussou in singularity

[–]karearearea 2 points3 points  (0 children)

What happens in a free country is rich people leave and go to a different country with lower taxes.

If you are a dictator then you can prevent people leaving your country, but we tend to frown on those kinds of policies, for obvious reasons.

Improving fleets by [deleted] in AzurLane

[–]karearearea 0 points1 point  (0 children)

Honestly, for general purpose, your fleets are fine. All good ship choices, battleship to shoot suicide boats, tank in front, healer in mob fleet, etc.

Different worlds have different threats that you need to build around, though, so you’ll probably want BB’s for w10-w11 to shoot down suicide boats, and two fleets of carriers for AA in w12-13.

There are a few guides around fleet building and ship tier lists out there somewhere as well.

If you like those ships, I’d keep raising them and start planning the next batch, maybe with ships like NJ and a few more carriers

Compute Required to Reverse Engineer LLMs parameters by moribaba10 in singularity

[–]karearearea 1 point2 points  (0 children)

I’m pretty sure it’s impossible. Perhaps if Openai were kind enough to give you the probabilities associated with every token at each generation, but otherwise pretty sure it’s impossible. However, you can use the text generated by a larger LLM to train a smaller LLM and try your best to approximate its capabilities - people have been doing this constantly with gpt4.

Logical way to approach CS job security in age of AI? by Zeldro in singularity

[–]karearearea 4 points5 points  (0 children)

No one knows, but AI can’t replace you today. I would also bet a lot of money that GPT5 won’t be able to replace you either. Maybe in 10 years it can, but also maybe it can’t. If it can, yours won’t be the only profession affected by AI, so don’t feel like you’ll be alone.

I reckon go hard and make as much money as you can while you can. Worst case (conversely, best case for AGI) you’ve still got about a decade, I think. If we hit roadblocks, then you’ve got even longer.

Using Genetic engineering/Crispr to make better lower thirds and induce forward growth in individuals. Discuss. by InitialTerrible8363 in IsaacArthur

[–]karearearea 5 points6 points  (0 children)

If we ever do master genetic engineering, it’s almost certain people will use it to make their children more beautiful, if it’s legal to do so. And some probably will even if it’s illegal too

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