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#tagged — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #tagged, aggregated by home.social.

  1. @drmorrisj consider doing your own debian blends like enc persistent bootable nvme - i mean you have to install most of the forensics tools yourself first - with the enc persistence that would be all set up for the user#forensics_full #chattr #federated enclaves #distributed inference #compintel/osint/BI #erp #crm #tagged metadata #pkt cap #audit trail #tcp_replay #rational clearcase #malcolm ids #kibana dashboards #monitoring

  2. @drmorrisj consider doing your own debian blends like enc persistent bootable nvme - i mean you have to install most of the forensics tools yourself first - with the enc persistence that would be all set up for the user#forensics_full #chattr #federated enclaves #distributed inference #compintel/osint/BI #erp #crm #tagged metadata #pkt cap #audit trail #tcp_replay #rational clearcase #malcolm ids #kibana dashboards #monitoring

  3. Dear #lazyweb, what is the best way you know to represent #tagged #enums in #Python? It needs to be at least somewhat type-checkable, although it's possible I might settle for something like enumerating each value's associated data type/tuple once again for mypy to see.

    So far I've been using a hierarchy of frozen dataclasses and then a single-dispatch handler; however, now I have a possible use case with the need for validation, and the hierarchy of dataclasses is not discoverable, thus not, well, enumerable :)

  4. Dear #lazyweb, what is the best way you know to represent #tagged #enums in #Python? It needs to be at least somewhat type-checkable, although it's possible I might settle for something like enumerating each value's associated data type/tuple once again for mypy to see.

    So far I've been using a hierarchy of frozen dataclasses and then a single-dispatch handler; however, now I have a possible use case with the need for validation, and the hierarchy of dataclasses is not discoverable, thus not, well, enumerable :)

  5. #AI Is a Lot of Work. As the technology becomes #ubiquitous, a vast #tasker #underclass is emerging and not going anywhere. #AI #learns by finding #patterns in enormous quantities of #data, but first that data has to be sorted, #tagged by people, a vast #workforce mostly hidden behind machines. It’s difficult and #repetitive work. A several-second blip of footage took eight hours to annotate, for which a college graduate in #Nairobi was paid about $10. theverge.com/features/23764584

  6. #AI Is a Lot of Work. As the technology becomes #ubiquitous, a vast #tasker #underclass is emerging and not going anywhere. #AI #learns by finding #patterns in enormous quantities of #data, but first that data has to be sorted, #tagged by people, a vast #workforce mostly hidden behind machines. It’s difficult and #repetitive work. A several-second blip of footage took eight hours to annotate, for which a college graduate in #Nairobi was paid about $10. theverge.com/features/23764584