sarusso

6 ms·

31.
Alpha-One 7B LLM Agentic/Generative AI Agent(pine64.com)
2 points by sarusso 1y ago|0 comments
32.
Run LLM models on your Android phone locally(github.com)
2 points by sarusso 1y ago|0 comments
33.
by sarusso 2y ago
"They result in deliverables" I had a _so_ different experience after being involved in two of them...
34.
by sarusso 2y ago
On what basis are you are stating this? I'm asking because I have been involved in another project like these (15M budget) and the main issue was the lack of computing resources allocation, because no one thought about it (true story).
35.
by sarusso 2y ago
DeepSeek had plenty of R&D expertise which were not included in the (declared) model training cost. Here we are talking about building something nearly from scratch, even if there is an open source starting point you still need the infr
36.
by sarusso 2y ago
They allocated €37.4 million [1]. As an European, I truly don’t understand why they keep ignoring that the money required for such projects is at least an order of magnitude more. [1] https://digital-strategy.ec.europa.eu/en
37.
by sarusso 2y ago
Location: Europe/Italy Remote: Yes Willing to relocate: Depends on the opportunity Technologies: Python, Django, Docker, ML, time series, IoT, anomaly detection. Résumé/CV: https://sarusso.github.io/cv.pdf Email:
38.
Nvidia GeForce NOW is going to be free during payment provider transition
1 points by sarusso 2y ago|0 comments
39.
European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry(arxiv.org)
3 points by sarusso 2y ago|0 comments
40.
by sarusso 2y ago
I recently built a small Python library to try getting time management right [1]. Exactly because of the first part of your comment, I concluded that the only way to apply a time delta in "calendar" units is to provide the startin
41.
by sarusso 2y ago
I remember hearing at a conference about 10 years ago that Google does not make use of leap seconds. Instead, they spread them across regular seconds (they modified their NTP servers). I quickly searched online and found the original articl
42.
by sarusso 2y ago
We are already discussing this here: https://news.ycombinator.com/item?id=40477166#40481115 . No need to cross-discuss.
43.
by sarusso 2y ago
I actually went into every single line of the manuals and even discussed the matter on the official Singularity Slack. In that blog post I wrote that it does not enforce . It is true that you can achieve some level of isolation by settin
44.
by sarusso 2y ago
I agree to a certain level. However, it's hard to ensure dependencies to work in the right way without isolation. These two support tickets are a showcase of the essence of the problem: "Same container, different results" [1]
45.
by sarusso 2y ago
Ok, but here the OP is doing something a bit different than just rootless Docker, which is to use a "centralised" rootless Docker running as a single, non-privileged user... or am I missing something?
46.
by sarusso 2y ago
Thanks! And don't get me wrong, I really wanted Singularity to work when I started working with it...
47.
by sarusso 2y ago
If it works as I understood, in this setup I can see an advantage at an architectural level: in Podman containers images are stored on a per-user basis, while in this setup they would be shared between users, thus using much less disk spa
48.
by sarusso 2y ago
Oh man, Singularity… I once wrote: “In the shipping container analogy, you can think about Singularty containers as if they have no walls.” [1] [1] https://sarusso.github.io/blog/container-engines-runtimes-or...
49.
by sarusso 2y ago
Curious, there is no mention to randomness or seeds in the whole book.
50.
by sarusso 2y ago
And probably one of the most unsustainable ones, given the nature of their business…
51.
by sarusso 2y ago
While your eyes can naturally spot a pattern over time in time series data, machines can’t. So as we did for imaging, where we pre-trained models to let machines easily identify objects in pictures, now we (they) are doing the same to let m
52.
Moment: A Family of Open Time-Series Foundation Models(arxiv.org)
55 points by sarusso 2y ago|5 comments
53.
by sarusso 2y ago
The example paper does not mention what type of diabetes it is about - if type 1 or type 2 - and they have very different risk factors. While it’s kind of clear form the context that it’s about type 2, I doubt a paper like this would pass a
54.
by sarusso 2y ago
This is from Trieste: https://twitter.com/_sarusso/status/1789112947165270298 . Naked eye was way less bright but still well visible I would say!
55.
by sarusso 2y ago
Pic here: https://twitter.com/_sarusso/status/1789112947165270298
56.
by sarusso 2y ago
Visible in North Italy as well. Unexpected!
57.
by sarusso 2y ago
There’s more disclaimers than content in this page :P
58.
by sarusso 2y ago
My understating is that, while your eye can naturally spot a dependency over time in time series data, machines can’t. So as we did for imaging, where we pre-trained models to let machines easily identify objects in pictures, now we are doi
59.
by sarusso 2y ago
Oh, yes I am working on that. Usually LSTM, exploring encoder-decoders and generative models, but also some simpler models based on periodic averages (which are surprisingly useful in some use cases). But I don’t have per-core metrics.
60.
by sarusso 2y ago
Even if it was for multivariate time series, the model would first need to infer what machine are we talking about, then its working conditions, and only then make a reasonable forecast based on an hypothesis of its dynamics. I don’t know,

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