Smith42

5 ms·

1.
by Smith42 2mo ago
What would the selected participants get from this? Looks like there is no offer of funding?
2.
Stream the Universe from Your Laptop(asciinema.org)
1 points by Smith42 3mo ago|0 comments
3.
by Smith42 3mo ago
The Multimodal Universe (MMU) pools together 80TB+ of data from over 30 astronomical surveys into one place. Crossmatching (linking observations of the same object across surveys) is its killer feature, but until now it required downloading
4.
80TB+ of astronomy for the HDD-poor: crossmatch the Universe from your laptop(huggingface.co)
2 points by Smith42 3mo ago|1 comments
5.
by Smith42 4mo ago
It's always been this way ever since the first industrial revolution.
6.
by Smith42 7mo ago
So write it! Shouldn't be much extra to add to the AGPL licence?
7.
Opencode(opencode.ai)
4 points by Smith42 1y ago|0 comments
8.
US halts student visa appointments and plans expanded social media vetting(bbc.co.uk)
8 points by Smith42 1y ago|3 comments
9.
Mistral Small 3 Announcement(twitter.com)
15 points by Smith42 2y ago|0 comments
10.
The Multimodal Universe: Enabling Large-Scale ML with 100TB of Astro Data(arxiv.org)
2 points by Smith42 2y ago|0 comments
11.
by Smith42 2y ago
We investigate the potential constraints on LLM scaling posed by the availability of public human-generated text data. We forecast the growing demand for training data based on current trends and estimate the total stock of public human tex
12.
Will we run out of data? Limits of LLM scaling based on human-generated data(arxiv.org)
1 points by Smith42 2y ago|1 comments
13.
by Smith42 2y ago
That really isn't the case, and I am not sure how you could arrive at that unsubstantiated conclusion.
14.
Astronomy Generates Mountains of Data. That's Perfect for AI – Universe Today(universetoday.com)
2 points by Smith42 2y ago|2 comments
15.
AstroPT: Scaling Large Observation Models for Astronomy(arxiv.org)
2 points by Smith42 2y ago|1 comments
16.
by Smith42 2y ago
Abstract: This work presents AstroPT, an autoregressive pretrained transformer developed with astronomical use-cases in mind. The AstroPT models presented here have been pretrained on 8.6 million 512 × 512 pixel grz-band galaxy postage stam
17.
by Smith42 3y ago
$15k!
18.
by Smith42 3y ago
"Large Observation Model" has a nice ring to it
19.
by Smith42 3y ago
If you are interested in this also check out EarthPT, which is also a time series decoding transformer (and has the code and weights released under the MIT licence): https://arxiv.org/abs/2309.07207
20.
by Smith42 3y ago
What's new with SXMO? Haven't been keeping up since 2021. Is there a stable phone to run this on now?
21.
EarthPT: A time series transformer foundation model(github.com)
2 points by Smith42 3y ago|1 comments
22.
by Smith42 3y ago
Wanted to share the code release of EarthPT, a model that predicts future satellite observations in a zero shot setting! I'm the first author so please shoot any questions you have at me. EarthPT is a 700 million parameter decoding tra
23.
by Smith42 3y ago
Wishful thinkin buddy
24.
by Smith42 3y ago
Anyone have a paste of the article? There is a paywall
25.
by Smith42 3y ago
Check out EarthPT! https://arxiv.org/abs/2309.07207
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The Executive Order on AI, with notes on computing budget(old.reddit.com)
1 points by Smith42 3y ago|0 comments
27.
The 'it' in AI models is the dataset(nonint.com)
3 points by Smith42 3y ago|1 comments
28.
by Smith42 3y ago
This isn't the first foundation model for time series, see EarthPT from last month: https://arxiv.org/abs/2309.07207
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EarthPT: A foundation model for EO (i.e. scaling GPT with more than text)(arxiv.org)
1 points by Smith42 3y ago|0 comments
30.
EarthPT: A foundation model for Earth Observation(arxiv.org)
1 points by Smith42 3y ago|0 comments

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