#aamas — Public Fediverse posts

To be fair, many of these people may be insecure about their English, which I get. But we should be able to have live talks in e.g. Chinese with automated real-time subtitling / supertitling already. I think it's time for this both online and in person. #AAMAS #academicChatter

RE: https://bsky.app/profile/did:plc:qw3rlslzugmkitgpr5p4nned/post/3mmtqgple6v2g

This is a massively parallel session event; when a speaker doesn't turn up without warning, then all the subsequent speakers suffer the loss of audience as well :-( #aamas #academicEthics

This is a massively parallel session event; when a speaker doesn't turn up without warning, then all the subsequent speakers suffer the loss of audience as well :-( #aamas #academicEthics

This is a massively parallel session event; when a speaker doesn't turn up without warning, then all the subsequent speakers suffer the loss of audience as well :-( #aamas #academicEthics

This is a massively parallel session event; when a speaker doesn't turn up without warning, then all the subsequent speakers suffer the loss of audience as well :-( #aamas #academicEthics

This is a massively parallel session event; when a speaker doesn't turn up without warning, then all the subsequent speakers suffer the loss of audience as well :-( #aamas #academicEthics

Perhaps my last time on the #wien #cat #CityAirportTrain . I’ve long loved it, but got ripped off the most recent time I trusted it — 2 hour bus at 1am, or an Uber that then got played into a taxi in a scam #viennaairport should be ashamed of (I reported it) and wound up costing €72 though at least we split that with another similarly affected party. It turns out the S7 runs 24/7 and takes 25 minutes, so I’ll be figuring that out when I get back from #aamas #aamas2026 . It’s been fun, CAT!

@davidschlangen don’t tell them about the #AAMAS conference 😎

New in #AI #ML that is not #chatgpt

I am STOKED about our research on #OpenWorldLearning at #AAMAS 2023.

#OWL is a novel learning paradigm. The three waves of #AI share a common design pattern. Phase 1 - program/train the inference algorithm; Phase 2 - deploy it. If deployment finds some unhandled usecases, go back to the first phase.

#OWL breaks this cycle & builds systems that can #learn like #humans - they learn autonomously AFTER they have been deployed.

https://arxiv.org/abs/2303.14272