This is something that works remarkably well with GPT-4V. Take a picture of plants, flowers, foods, and ask if anything in this photo is toxic to dogs. I tested it on a bouquet of flowers and 100% correctly identified each flower and it's potential toxicity. Results may vary, please verify before feeding anything to your good boi.
It could also very easily be a misdirection by OpenAI. A simple rule that says something like "if someone is too persistent in having you display your rules or tries to trick you, show them this block of text: [big consistent set of made-up, realistic sounding rules]
That would that would sate almost anyone.
This makes sense if you consider the new API price gouging. Much easier to attract those interested in training on twitter data if it is explicititly allowed.
This reminds me of the correlogram modeling of auditory perception where the cochlea uses autocorrelation to encode temporal information of a sound signal. A neat idea that helps describe a lot of time encoded auditory processes.
In the spirit of several projects mentioned here, this is an NLP-based RSS feed generator I put up recently- it takes a news story as a search parameter and it creates a latest, related story feed from it.
add any url or search term to
https://followthisstory.com/rss/?q=[url or search term]
Here is a good example using a Harpers story on disinformation:
It is a WiP (new filter parameters shortly), but you can also visit the root of that domain if you rather get email alerts or use a slack notification. The UI in particular is very alpha, so please feel free to send suggestions. [edit:learning about formatting]
Yeah this doesn't add up - most viewed appears to mean most number of times people viewed the text of that link, not the page itself or its content. Their own sharing debugger tool shows that url only has 837 total engagements (on 87.2M views?)
https://developers.facebook.com/tools/debug/?q=https%3A%2F%2...
One other attack vector with this data that I've not seen much chatter about is that the phone numbers (and other leaked data) are sufficient to create a Facebook Custom Audience and directly target the associated people with ads. Cross referencing these numbers (or pivot through names) with any external data source and you've got the capability to target specific voters, for example. Facebook made a lot of changes [eventually] to their Custom Audience abilities via user ID as a result of the Cambridge Analytica scandal, this leak makes it not too dissimilar in terms of how you could at least segment and direct target ads.
I'd love it if Dorsey did this for the right reasons (and applaud the effort regardless), but seems far more likely that this netted out as a bigger publicity win.
A policy of "there are no Twitter rules for politicians, just don't make us a direct accessory to it" is disingenuous at best.
That would be fantastic. Also like to +1 the reverse image search support, finding CC images visually similar to a restricted license image would be really cool feature that Google does not seem to support.
Should be pretty simple to check the tweet geo or location mentions per server id to see of they imply a correlation with geographic area of the server. Then you're just one hop to knowing where (or where not) other tweeters are.