Serious question, what would the ramifications of an economic solution? If you appeal content removal and your challenge is validated, the platform then applies a financial penalty to the requester? It would reduce drastically the amounts of request and thus false positives?
Unfortunately the group that has the most control doesn't care.
The majority of anything around DMCA is likely legitimate complaints so dealing with it is weird, since making it more painful for content producers to protect themselves is unpopular.
Especially since you would need a bond system and penalties beyond actual damages (such as legal fees) since most of the worst cases have very nebulous actual damages.
I work in a large FMCG company which relies heavily on Microsoft powerpoint.
One major problem is that people tend to make extremely bloated, 2-3 gb files for 100 slides and things freeze up, underperform, etc.
Working with AI I wrote a command line tool that replaces the file name with .zip, extracts the content and then run a series of resize, compressions on images and videos. Once done it simply packages back the zip and renames it back to pptx. Files drop by 70-80% in size on average with no visible loss of quality.
This command line tool was made in less than 30 minutes and the conversion was less than 10 messages back and forth.
I tend to use a sentence along these lines:
"Give me a straightforward summary of what we discussed so far, someone who didn't read the above should understand the details. Don't be too verbose."
Then i just continue from there or simply use this as a seed in another fresh chat.
Would it be possible to serve a fake fingerprint that appears legitimate? Or even better mimic the finger print of real users who've visited a site you own for example?
Yes, that's what web scraping services do (full disclaimer I work at scrapfly.io). Collecting fingerprints and patching the web browser against this fingerprinting is quite a bit of work so most people outsource this to web scraping APIs.
I had a similar experience once where a vendor demoed their tracking tech for advertising. This was in France (before GDPR) and they had partnered with many apps (Weather apps and such) to access user locations. I don't remember the size of their target but it was a big chunk of the French population.
They showed a map of Paris showing the day of a particular user from leaving their home, which route they took, how long they stood in front of which store and how long the spend inside others etc.
My boss at the time found the whole thing very exciting...
While out hiking one day, I started thinking about buying a small ladder for the kitchen. When I got home that evening, I started seeing ads for ladders even though I had not searched for ladders, spoke to anyone about ladders, or even texted anyone about them. It was just a thought I had while hiking. Was it a coincidence or something else?
Finally figured it out a day later when reviewing my hike on the Fitbit app. At the end of my hike I forgot to shutoff route tracking. On my way home, I had stopped by Walmart to grab a few things and while there, looked at their ladders. I could see on the app the path I took through the store, including when I stopped for a few minutes in front of the ladders. That was enough data to trigger ads for ladders for the next couple of days.
We leak data about ourselves constantly without realizing how much we're doing it or where it ends up going. Lots of it is also circumstantial and makes me wonder what erroneous ideas some of these databases might have accumulated over the years and who gets to see that "information". What happens if you walk through a part of town where there's an activist rally for "We Love Kitten Torture" going on? Do you forever get tagged in a bunch of databases as an animal torturer?
Jobchef.io is a SaaS I've worked on for a little while and recently released.
I have a background in marketing and HR in large company, this is my first venture into programming after learning to code on my own (VBA -> Automate the boring stuff -> coursera -> React & a lot of help debugging from a very generous friend.)
Releasing a full working product was a great milestone, but so far market fit is still quite unclear.
I wonder how much of this will be leaking i to the API or maybe you'll have a price point which includes certain "data sources" and another where these are filtered out?
The IT at the company I work for recently launched their own version of ChatGPT. Basically a chat interface that only covers the text generation. (Not image generation, OCR, etc.)
When they saw nobody was using their version, they straight out blocked the domain of OpenAI altogether and the page now show a message directing users of their solution.
It's a 80k + employee organization, so imagine the impact of such decision.
The old Marunouchi and Mita trains used to be pretty dirty (by Tokyo standards!), but both have been upgraded in the last five years. The classic "oyaji smell" is gone from both trains now.
