@BartWronski Not sure about the next big thing, and the lack of a definitive killer app is perhaps a testament to the power of good old-fashioned screens to immerse our minds. That said, HL:Alyx was for the most part as immersive as it gets, and I've probably spend 100+ hrs randomly exploring in Google Earth VR, hours at a time - I couldn't imagine doing anything close to that with Google maps (or earth). Those 2 experiences made it worth the expense for me, and things like Eleven Table Tennis VR take it further yet (yes, one could go find a club for that IRL etc etc, but that's a lot of overhead in comparison).
If you haven't come across this nice science-related article: https://arstechnica.com/science/2024/01/the-key-to-fighting-pseudoscience-isnt-mockery-its-empathy/
Conda is moving our social media presence from Twitter/X to Mastodon and LinkedIn at the start of 2024. It's past time to move into spaces that are welcoming and more in line with our community values. Going forward, you can find us at
🐘 @conda (https://fosstodon.org/@conda) on Mastodon
🔗 Conda Community (https://linkedin.com/company/condacommunity) on LinkedIn
Announcement: https://conda.org/blog/2023-12-27-social-move
We hope to see you on Mastodon and LinkedIn in 2024!
@rygorous I continue to be amazed that I always end up at my destination somehow, and usually on time. Although most of that is domestic within US, and recently BER almost ended the lucky streak (Lufthansa, new system, doesn't let us do XYZ, something something).
Wondering if anyone out there is using LLMs are a proposal heuristic in NAS. Would seem fruitful (e.g. after fine-tuning on NeurIPS). Add in reinforcement learning for bonus points. It's not quite recursive self-improvement since re-architecting and retraining the LLM would be a slow, expensive, and human-in-the-loop step.
Old days: ?SYNTAX ERROR?
These days: <scratches head under cap> ya know, I'm not sure we can go any further with this thing, boss.
'Microcanonical Hamiltonian Monte Carlo', by Jakob Robnik, G. Bruno De Luca, Eva Silverstein, Uroš Seljak.
http://jmlr.org/papers/v24/22-1450.html
#microcanonical #langevin #hamiltonian
@simon Batch has been working pretty well for us for a long time and didn't feel too hard to configure. You can be fairly flexible re instance sizes and where they're coming from if you want. Fargate also works well and comes up faster, but you're more limited in terms of CPU/RAM sizing etc., plus you need to handle cases where an attempt failed etc. (if you're launching them on demand).
@erictopol Same here on 1st attempt, 2nd attempt was via myturn.ca.gov, and led us to a rural pharmacy that didn't have the new vaccines. 3nd attempt at CVS at least resulted in a cancellation notice 2 days prior. 4th attempt with CVS a charm.
@RIDDLES Don't slip on one of those!
@mitsuhiko It's a compelling argument. But I think I'm rather putting up with 1000 warring admins than the next company that's going to be bought by some $B+ company/guy/whatever in 5y. And if it takes someone to snap and rebuild the protocol and front-end, that'll only happen if we're not all hogging some SF startup's social/monetization/whatever platform.
@drj I'll immediately add that to my list parser
@maosbot also good q would be where people would rather like to have those discussions on.
CTO at Intheon. Opinions are my own.