4 ms·

Is it really that different than a search engine? Take away the AI specific language and you have two products that when given his username return results with

Is it really that different than a search engine? Take away the AI specific language and you have two products that when given his username return results with his real name.

monetus 4y ago
Another commenter pointed out that a lot of these models aren't publicly accessible, but will still be used to retrieve information about you - by say employers contracting with a ML company
- lolinder 4y ago
  But they can only be used to retrieve information that is already out there. This is still just using GPT-3 as a search engine, it's just a weird search engine that isn't made to purpose and most of the time produces nice-looking nonsense instead of valid data.
  - EUROCARE 4y ago
    It can also be used to retrieve deleted/delisted information. It's not like an search engine, more like an indexed database.
    - lanterk 4y ago
      That's a different issue. And something that can be easier done by purpose-built non-GPT systems.
      - EUROCARE 4y ago
        Nobody said it's easier or more optimal with GPT-3, the problem is that it's possible at all.
nimih 4y ago
If that's the case, it means that GPT-3 doesn't just raise ethical questions, but legal ones as well: several jurisdictions around the world currently require that search engines allow for the erasure of private information upon request.
spyder 4y ago
With classic search engine indexing you can find and remove exact matches from the index, but with neural networks it's harder to make sure you removed every representation of a specific information from the parameters. For example you remove somehow the exact username-name from the model parameters ( that doesn't seems to hard at first) but then it may still return the information if somebody ask the model differently. So if you try to remove the information from a neural network model then it can still have it in different forms you may not even think of, for example in language models the same thing described with different words. And on the other hand removing one thing may affect the models performance on other unrelated things too.
- pas 4y ago
  well, probably it's time to tag pieces of data, so it's possible to block certain results based on where the data originated.

Is it really that different than a search engine? Take away the AI specific language and you have two products that when given his username return results with his real name.

monetus 4y ago

Another commenter pointed out that a lot of these models aren't publicly accessible, but will still be used to retrieve information about you - by say employers contracting with a ML company

lolinder 4y ago
But they can only be used to retrieve information that is already out there. This is still just using GPT-3 as a search engine, it's just a weird search engine that isn't made to purpose and most of the time produces nice-looking nonsense instead of valid data.
- EUROCARE 4y ago
  It can also be used to retrieve deleted/delisted information. It's not like an search engine, more like an indexed database.
  - lanterk 4y ago
    That's a different issue. And something that can be easier done by purpose-built non-GPT systems.
    - EUROCARE 4y ago
      Nobody said it's easier or more optimal with GPT-3, the problem is that it's possible at all.

nimih 4y ago

If that's the case, it means that GPT-3 doesn't just raise ethical questions, but legal ones as well: several jurisdictions around the world currently require that search engines allow for the erasure of private information upon request.

spyder 4y ago

With classic search engine indexing you can find and remove exact matches from the index, but with neural networks it's harder to make sure you removed every representation of a specific information from the parameters. For example you remove somehow the exact username-name from the model parameters ( that doesn't seems to hard at first) but then it may still return the information if somebody ask the model differently. So if you try to remove the information from a neural network model then it can still have it in different forms you may not even think of, for example in language models the same thing described with different words. And on the other hand removing one thing may affect the models performance on other unrelated things too.

pas 4y ago
well, probably it's time to tag pieces of data, so it's possible to block certain results based on where the data originated.