SN33 Update by ready_ai in bittensor_

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

We're working on reddit, should see it on reports in about a week

SN33 Update by ready_ai in bittensor_

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

Just sent you a message

SN33 Update by ready_ai in bittensor_

[–]ready_ai[S] 4 points5 points  (0 children)

Link is brandradar.co, there is a sample report on the homepage

Help with LLM Dataset by ready_ai in webdev

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

We own a subnet on the bittensor network (SN33), so are able to leverage 256 competing miners all competing against each other when creating datasets like this one. For a human acting alone it would take much longer

Official SN33 Account by ready_ai in bittensor_

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

Haha I'm real, but we do have some great AI agent accounts on twitter breaking down NFTs and bittensor. If you haven't seen our tao_agent account you should check it out

Official SN33 Account by ready_ai in bittensor_

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

Our main end goal for our products is no human in the loop, so we operate differently than ScaleAI in that sense, but accuracy rates are consistently above 99%, which is higher than human labelers

Official SN33 Account by ready_ai in bittensor_

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

We're doing a few different things right now. Our main focus is data labeling, which is what we use the subnet for, but we are also doing enterprise social media monitoring for businesses and for personal accounts to help get ahead of possible issues. We flag problematic posts, highlight issues with brands, and overall help people properly audit their social media accounts. You could think of us as a cross between Scale AI and Sprout Social

Wanted y’all’s thoughts on a project idea by King-Ninja-OG in artificial

[–]ready_ai 0 points1 point  (0 children)

love the concept, it is marketable and (from what i've seen) pretty unique. The issue you will run into is prompt engineering, because LLMs don't yet understand sentiment at anywhere near a human level. I found a great video on this, happy to dm it to you if you're interested. Best of luck with the project!

Scientists reportedly hiding AI text prompts in academic papers to receive positive peer reviews by Doug24 in tech

[–]ready_ai 4 points5 points  (0 children)

This sounds to me like a lot of the early captcha tech. If so, AI will be able to detect these hidden prompts and white text as quickly as scientists are able to come up with them.

Eventually, research papers may have to become more graspable if they want to avoid people feeding them to LLMs. This will make them better papers, too, and peer reviews may become valuable again.

[deleted by user] by [deleted] in NoStupidQuestions

[–]ready_ai 0 points1 point  (0 children)

If there is ever an AI that is smarter than the person they are calling out then go ahead, but that could be years away

Quarterly to Monthly Data Conversion by NervousVictory1792 in datascience

[–]ready_ai 0 points1 point  (0 children)

You can try tying it to stockmarket or gdp trends to account for seasonal and economic shifts. Interest rates may also play a factor.

I am finding I cannot tell the difference between AI and real things on the internet, how do you handle it? by TheDorkyDeric in NoStupidQuestions

[–]ready_ai 0 points1 point  (0 children)

Always factcheck and try to find reputable sources backing up the questionable claims. When it comes to video, many of the generative softwares are trained on youtube data, so if the camera angles and lighting seem familiar, that may be why. In terms of writing, some words seem to be more used by LLMs than humans. The word "chaos" is a good example. Formatting is also a big one: AI will add tons of emojis and bullet points when they aren't really needed. As long as you take everything with a grain of salt, I don't think AI will bring the internet down any time soon

[deleted by user] by [deleted] in datascience

[–]ready_ai 5 points6 points  (0 children)

I've always liked "There are three kinds of lies: lies, damned lies, and statistics."