hannesfur

8 ms·

31.
by hannesfur 1y ago
It’s unfortunate that this announcement is still unspecific about what they improved in the Neural Engine. Since all we know about the Neural Engine comes from Apple papers or reverse engineering efforts ( https://github.com/
32.
by hannesfur 1y ago
I agree—the difference between the different compatibility layers and native games is very steep at times. Death Stranding on my M2 Pro looks so good it’s hard to believe, but running GTA Online is so brittle and clunky… Even when games hav
33.
by hannesfur 1y ago
Having played a lot of MSFS 2020/2024 recently, I feel like I can appreciate this way more now. Since they have to make these knobs realistically and in 3D, when using them with a keyboard and mouse (or even worse a controller) it’s in
34.
by hannesfur 1y ago
Wow! That's really useful!
35.
by hannesfur 1y ago
I also like eza ( https://github.com/eza-community/eza ) which is a modern ls. Fish is the biggest game changer though.
36.
by hannesfur 1y ago
It definitely got more widespread, but I am not sure that it's related to AI. If it's a way for open source maintainers of awesome tools I use to fund their development, I am totally fine with that.
37.
by hannesfur 1y ago
Whenever I look at these proposals I am never sure if the people that wrote that law are not aware that you can’t tap one person without making spying on everyone really easy very quickly, they don’t care or they actually want it. Although
38.
by hannesfur 1y ago
How much computing resources does it take?
39.
by hannesfur 1y ago
I don’t have a recommendation on how to coach them but i read that some of them are North Korean operatives ( https://www.cnn.com/interactive/2025/08/05/world/north-korea... ). It’s a real problem and
40.
by hannesfur 1y ago
I agree with most commenters that Gleam seems like the thing that’s going to solve a lot of the big problems I have with Elixir. I didn’t read a lot about Nx and EXLA in the comments, so I thought I’d share my view: In my opinion, that’s no
41.
by hannesfur 1y ago
Good idea! But try to think of a different name since you will have to deal with Groq ( https://groq.com/ ) and Grok ( https://grok.com/ ).
42.
by hannesfur 2y ago
Fireworks has you covered now: https://fireworks.ai/blog/fine-tuning-deepseek-models :)
43.
by hannesfur 2y ago
you mean fine tuning that feels like SFT but is different (since you can't use that with reasoning models) built around the DeepSeek class of models?
44.
by hannesfur 2y ago
You are right. If you want/can pay out of your own pocket, RunPod ( https://www.runpod.io ) deserves a shoutout here. We rented GPUs from them (they have them and they are cheaper and more available than Lambda Labs) until we
45.
by hannesfur 2y ago
Yes, you could do that. However, you would have created a different platform than Augento. Maybe we should make the distinction clearer though. The blog article you are referring to uses another method to fine-tune models that many other bi
46.
by hannesfur 2y ago
If you send us an email, we can send you your weights right now :)
47.
by hannesfur 2y ago
Not yet, but since people seem to want this it’s at the top of our roadmap. If you train a model now and want to get the weights, just message us and we‘ll give them to you ;)
48.
by hannesfur 2y ago
That’s fair! It has been mentioned before so we‘ll likely build that into the platform. Would you like us to upload your model to your huggingface account, download the weights or choose an inference provider we then upload it to?
49.
by hannesfur 2y ago
In a sense: You are not wrong! But when we got started we thought it is way easier than it actually was. Procuring powerful GPUs alone is difficult, collecting proper data too. But of course you can still do everything yourself. If you want
50.
by hannesfur 2y ago
We chose batman-adv because it's the most widely adopted and supported implementation of a wireless ad hoc mesh network :) Freifunk is running deployments with several thousand nodes.[1] Since that was the scale we were aiming for, thi
51.
by hannesfur 2y ago
When you setup the robots you could load them with the PKI and then load each other robot joining with a signed certificate. Not ideal, I admit. Another way would be to somehow prove that you belong.
52.
by hannesfur 2y ago
That's exiting! I would love to talk to you more if you're open to it :)
53.
by hannesfur 2y ago
Possibly yes, I can't give you a number on how quick batman discovers neighbors (will look into that) but we poll it every second. For this use case it could work!
54.
by hannesfur 2y ago
Like others suggested a basic step would be to use a certificate based approach where a company (or basically any deployment) gives out certificates for robots allowed to join and you only communicate with them.
55.
by hannesfur 2y ago
That's actually a pretty great idea! I will look into it! Thanks!
56.
by hannesfur 2y ago
We do discovery via the mesh, yes, but instead of broadcasting (like mDNS), we query batman-adv for the current visible neighbors. If a new neighbor is discovered, we will contact them directly (via WiFi) to exchange the addresses in the P2
57.
by hannesfur 2y ago
You are right. At the moment, we are an opinionated wrapper, but we take a different approach to discovery than other libp2p-based networks with our custom batman-adv-based neighbor discovery. Abstractions for collaboration are currently in
58.
by hannesfur 2y ago
Awesome! From what I see, the clock synchronization can be implemented with our SDKs (mainly pub-sub). I think the size estimation could also be implemented within the provided abstractions (mainly request-response) but might require you to
59.
by hannesfur 2y ago
Actually, just very briefly at a friend’s ;) Thank you! So far, we have tested it with Raspberry Pi 4/5. Jetson boards are on backorder. We have some Intel WiFi chips (since they support some stuff we want), and we will get around to t
60.
by hannesfur 2y ago
Please do and let us know if you have any questions!

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