thx will check and hope to see you there(: and much success for the new position!
12.10.2025 15:53 β π 1 π 0 π¬ 0 π 0@luisoala.bsky.social
head of machine learning @dotphoton building towards metrological machine learning https://luisoala.net/
thx will check and hope to see you there(: and much success for the new position!
12.10.2025 15:53 β π 1 π 0 π¬ 0 π 0we will present something related at neurips this year, though it looks at the data*set* side in the value chain, not data centers. i can also recommend seth karten's and nenad tomasev's works. there are def more and more people looking through the economic lens at these systems
12.10.2025 15:17 β π 1 π 0 π¬ 1 π 0agree w your point but lacking context. do you have some examples for this type of discourse you are writing about? also dm if thats better(:
12.10.2025 08:38 β π 1 π 0 π¬ 1 π 0oh this looks very cool, didnt know before, thx for sharing!
28.09.2025 08:14 β π 1 π 0 π¬ 0 π 0dirac delta cloud
08.08.2025 20:19 β π 1 π 0 π¬ 0 π 0congrats!
05.08.2025 02:31 β π 1 π 0 π¬ 0 π 0"The reaction on Twitter was βBro, thatβs clearly wrong.β The reaction on Bluesky was βSee, I told you so.β I didnβt check LinkedIn. I wonder if METRβs cross-posting was itself part of an ethnographic study of confirmation bias." ππ€£
11.07.2025 16:06 β π 3 π 0 π¬ 0 π 0Very proud our paper "OpenML: Insights from 10 years and more than a thousand papers" that describes the current state of OpenML and also analyzes the impact OpenML had over the last years (yes, we manually looked at every paper citing OpenML). #openml #automl #openscience 1/4
07.07.2025 12:15 β π 3 π 3 π¬ 1 π 0Online Now: OpenML: Insights from 10 years and more than a thousand papers #datascience
03.07.2025 15:36 β π 7 π 4 π¬ 1 π 04 world religions in 1 frame
03.05.2025 06:49 β π 1 π 0 π¬ 0 π 0met his friend yesterday, though i think he already settled down and domesticated
02.05.2025 00:53 β π 1 π 0 π¬ 1 π 0time to pack the bags. thx all for a great @iclr-conf.bsky.social it was fun and safe travels (:
28.04.2025 13:37 β π 0 π 0 π¬ 0 π 0Last day of #ICLR2025. Let's make it count! πββοΈπββοΈπ¨
28.04.2025 01:50 β π 19 π 3 π¬ 0 π 1Huge thanks to the #ICLR2025 Organizing Committee (including many who couldn't make it to the conference) πππ
27.04.2025 03:22 β π 50 π 6 π¬ 1 π 0workshops @iclr-conf.bsky.social day 1
weather vs workshop rooms π©·
it appears ml > singapore weather
thx all workshops for making the magic happen!
so iclr test of time should be renamed kingma awardπ congrats for going back to back!
25.04.2025 09:36 β π 1 π 0 π¬ 0 π 0Who is jetlagged and ready to ROCK!?  #ICLR2025
Let's gooooo!!!!  π±π±πͺπͺ
The calm before the storm #ICLR2025 π₯π₯π₯
23.04.2025 04:47 β π 48 π 6 π¬ 0 π 2just woke up from ashton hall nightmare where all you could watch inflight is thisπ«
22.04.2025 18:00 β π 0 π 0 π¬ 0 π 0maybe www.datacomp.ai and www.dataperf.org are of interest, we try to give updates and discussions on these projects at the dmlr workshops, def like your line of questioning(:
07.04.2025 10:11 β π 1 π 0 π¬ 0 π 0sounds intriguing, ill join the wednesday meeting to better understand
07.04.2025 08:26 β π 1 π 0 π¬ 0 π 0congrats mihai and team what a milestone(: is there scope in openssf/cosai to push the green checkmarks cascade further upstream the supply chain into the dataset territory?
06.04.2025 09:23 β π 1 π 0 π¬ 1 π 0great to see the growing support for open and composable data systems 
@neuripsconf.bsky.social and improving documentation. check the author guide here neurips.cc/Conferences/... thx @meg.dev @joavanschoren.bsky.social for leading the charge πͺ
contribute to the format at github.com/mlcommons/cr...
hacking has a nice chapter on the"duality" history of thought in his book "the emergence of probability" with deep cuts to condorcet and others
05.04.2025 00:30 β π 0 π 0 π¬ 0 π 0i enjoyed this book by jing tsu on the leap of making chinese work on modern communication technology
22.03.2025 13:58 β π 1 π 0 π¬ 1 π 0it is humboldt's ideal (: en.m.wikipedia.org/wiki/Humbold...
07.03.2025 21:58 β π 1 π 0 π¬ 0 π 0[1] proceedings.mlr.press/v9/gutmann10a
[2] arxiv.org/abs/1511.01844
[3] arxiv.org/abs/1810.09136
excellent paper. continues a curious discourse on unintuitive results in high d generative modeling tracing back to gutmann/hyvarinen (nce [1]), theis/van den oord ("bad samples w good likelihoods" [2]) and later nalisnick ("ood" data w higher likelihoods under model than train data [3])
04.03.2025 14:47 β π 1 π 0 π¬ 1 π 0bleak i meant the article. its a bit cynical imo but interesting: once a scene has attained cultural capital sociopaths will dress up as the original creators of that scene. one could argue that the capital in "tech bro" scene transcends culture at this point and incl the very real $$ variety
15.02.2025 15:51 β π 1 π 0 π¬ 0 π 0cultural capital, this might be an interesting read meaningness.com/geeks-mops-s... i personally dont interpret it as bleak. if you come in w a good attitude and we can agree on human rights i dont think it makes a big difference what religion gets you out of bed in the morning (:
15.02.2025 14:21 β π 0 π 0 π¬ 1 π 0