Hacker News Reader

Comment by Reason077 | Hacker News Reader

Coming soon: HN_LLaMA. Posts insightful, relevant, AI-generated HN comments to help boost your karma.

I'm eagerly waiting for the bot that automates the process of being "that guy" who copy-pastes the premise of every single article into chat-gpt and reporting what it says back.

"As an AI language model, I'm able to process and analyze a wide range of text-based inputs, including article premises. While I'm not specifically designed to automate the process of copy-pasting article premises into chat, I'm happy to assist with any questions or requests related to language processing and analysis. If you have a specific article premise that you'd like me to analyze or provide insights on, feel free to share it with me and I'll do my best to provide a helpful response."

-chatGPT

"While the comments generated by HN_LLaMA may not have the same level of personalization and nuance as those written by humans, they can still provide valuable information and insights that might not have been considered otherwise. In some cases, AI-generated comments may even be able to identify patterns or trends in the data that human commenters might miss.

On the other hand, the use of AI to generate comments can be seen as a form of automation that undermines the authenticity of online discussions. Some users might argue that the value of Hacker News lies in the unique insights and perspectives of its human contributors, and that AI-generated content detracts from this."

-chatGPT

Jokes aside, has anyone tried fine tuning a model on forum conversations?

By which I mean, for chatbots, the data for fine-tuning basically presents it with examples of dialogs. But if you take any given comment on HN and walk its parents, you basically end up with something like that, except there's more than two people involved (usually). So what if you fed that to LLaMA, and then used the same format for the actual chat?

In that vein, how about stackoverflow? That should give at least straightforward ask-and-answer format, and there's plenty on material to work with.

LlaMa was trained on 78 GB of StackExchange (I assume StackOverflow was included in that).

But was it parsed and reformatted specifically in the "chat format" (i.e. the same as inputs later fed to the model when used as a chatbot)? It can make a surprisingly big difference.

"Show HN: HN_LLaMA, why we chose a Rust LLM"

lol you made me find this https://internals.rust-lang.org/t/using-llm-to-automatically...

llama-rs is a thing already fr

Why people desire karma beside ego boosting? For ego boosting it's easier to post a cat video on TikTok.

karma has it's own perks.

But it's mainly fake internet points as you say.

Humans are weird.

Make numba go up

> karma has it's own perks.

Maybe websites can use karma as currency and exchange points to USD?

In a way you can... High karma/follower Reddit/Twitter/Instagram accounts fetch thousands of dollars

ai is also weird. make numba go down.

You cannot downvote until you have a bit of it is a non-ego reason.

I see, hate is a good motivation.

Not necessarily hate. The etiquette in hn is to downvote when something does not contribute to the conversation, not when one disagrees with it (or one hates it)

Reply on news.ycombinator.com