Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Mi 10.07.2024 00:03:45 5.529 +2 504.578 91,3 FediScience.org 4.2.10 500 Di 09.07.2024 00:03:52 5.527 +1 504.079 91,2 FediScience.org 4.2.10 500 Mo 08.07.2024 00:04:00 5.526 0 503.594 91,1 FediScience.org 4.2.10 500 So 07.07.2024 00:02:18 5.526 0 503.145 91,1 FediScience.org 4.2.10 500 Sa 06.07.2024 00:03:24 5.526 0 502.766 91,0 FediScience.org 4.2.10 500 Fr 05.07.2024 00:01:10 5.526 +1 502.208 90,9 FediScience.org 4.2.10 500 Do 04.07.2024 00:02:56 5.525 -1 501.688 90,8 FediScience.org 4.2.7 500 Mi 03.07.2024 00:00:21 5.526 0 501.149 90,7 FediScience.org 4.2.7 500 Di 02.07.2024 00:03:56 5.526 +2 500.546 90,6 FediScience.org 4.2.7 500 Mo 01.07.2024 00:02:35 5.524 0 500.052 90,5 FediScience.org 4.2.7 500
Megan (@meg) · 10/2022 · Tröts: 31 · Folger: 703
Mi 10.07.2024 20:18
One of the things that bothers me about all this #AI hype is that most of the tasks that it claims to do can be performed more efficiently and sustainably with basic algorithms. Indeed, in the case of recommendation engines, these already existed and were performing better than current models.
If you have been paying any attention, then you already know that personal recommendations (like film, music, search, text) are getting worse. This is partly because of a lazy approach to clustering data.
[Öffentlich] Antw.: 0 Wtrl.: 1 Fav.: 4