When Trump’s video about the Kirk assassination (https://www.youtube.com/watch?v=2yCu21pL73s) went viral, I noticed a wave of replies aggressively insisting the video was not AI-generated. I could feel those replies were mostly by bots as I've checked manually few accounts and most of them followed weirdly the same patter:
1. Created in 2013
2. Have between 7 and 10 subs
3. Have between 2 and 3 video playlist
4. Account bio extremely generic
After a few minutes spent manually checking I decided to build a tool that:
• Downloads all YouTube comments + replies
• Runs sentiment analysis on each
• Detects bot-like behavior using heuristics + LLMs
On this video, over 40% of comments look like bots, and they overwhelmingly argue the video wasn’t AI-generated.
I didn't went as far as trying to understand where these accounts are coming from, but my main goal was to confirm whether this was real coordination.
I'm not expert in data nor in python (I've mostly vibe-coded it). I’d love to get some help from folks how might be interested on these topic.
I remember a paper from last year in which they are suggesting that basically Blue Zones are made just by a combination of clerical error and pension fraud: https://www.biorxiv.org/content/10.1101/704080v3
I’m very curious to known how and if that is impacting transplants of organs. I read somewhere that this was an argument against full-self driving cars becoming too safe.
That's horrible. That's basically saying "let's make sure a ton of people are dying early so that some percentage of them can be used to save lives"
Nobody should ever, ever be in favor of putting people in harms way to increase the availability of organs. At that point you might as well just advocate for a harvest lottery based on how many miles people travel by car.
Quick Feedback: Would it be cool to research this internally and maybe find a sweet spot in speed multiplier where the loss is minimal. This pre-processing is quite cheap and could bring down the API price eventually.
