kiproping

That's the sad thin? not the destruction and wholescale murder?

"GPT–6 Astra mentions a private collection, but it is not clear what this is"!, my spidey senses makes me think it hacked something? Or am I misreading this?

I was also thinking about this. Did Snowden share his files with Wikileaks? Do the insurance files partly contain the Snowden files. Actually does Snowden himself have access to the files?

I see it's a portal tracking bird data from other websites. I am doing the same but for East Africa, not live birds but generally monitoring biodiversity, what is happening from ebird, to Xeno-canto to iNaturalist every week. Any new research grade species, new updates to ebird and XC sound additions. East Africa is very under monitored compared to other places. Still work in progress. https://platform.maiyoinstitute.org/

Wait, isn't that just a Raspberry Pi Zero 2 W, why would you pay $4 for that?

That's how I read it too.

From a cursory glance on huggingface, the files don't add up to 2+TB. Unless it adds up to that when you extract the multiple ~17GB files, if that's the case then that's some crazy compression.

Why is China's government corrupt? specifically when it comes to solar? Are they not accused of the opposite, overdoing solar? Help me understand your critique.

Thank you, I was also looking for a better source and a link to the paper. I thought the paper was this older one https://www.nature.com/articles/s41467-018-06394-9 from 2018.

The videos are amazing. Sadly I think theses types of adaptations make it easier for the species to go extinct since its so highly specialized.

So are you telling me that a certain country that banned Crypto entirely might have been right?

First its the "Chinese" then it will be people using "cyber" capabilities, or "jailbreaking" or "going against Dario" or any other thing they find "objectionable".

I have not seen the official deepseek communication to this effect.

Its really good.

I am on iNaturalist helping to identify organisms.

I wonder which model they used, it's stupid but clever in some aspects.

Thank you for mentioning this, I have been suffering under the yoke of docker.

I know google has general sound classifiers like Yamnet, trained on youtube data but they are not very good for specific usecases. So you would have to create a custom model for you usecase.

- https://www.tensorflow.org/hub/tutorials/yamnet

thanks, how is your work going. Any interesting papers you did, what is an area you think needs more research.

I wanted to do something similar to this, then I started doing some research on birds in general, and those in my locality, then I started learning about Audio and spectograms and Nyquist Theorem and many other interesting audio stuff.

Then I started going through the Intro to Conservation Bioacoustics by Cornell course, and started watching Bioacoustic Talks by the K. Lisa Yang Center cornell center.

And now I am almost at the point where I cant start manually tagging audio sets, for target species so that I can train custom classifiers to identify birds in Rwanda which are poorly detected by birdnet.

TLDR: Being jobless can lead you into interesting ventures.

* Nyquist Theorem. https://www.youtube.com/watch?v=IZJQXlbm2dU

* Intro to Conservation Bioacoustics https://www.birds.cornell.edu/ccb/pam-materials

* Bioacoustic Talks https://www.youtube.com/@CornellSounds

Birdnet-go is really good and actively maintained. Shout out to tphakala.

This would be a better page to link to https://github.com/esengine/DeepSeek-Reasonix/blob/main/docs...

They explain some of the the reasons why they have a better solution and why they are very opinionated

>Automatic prefix caching activates only when the exact byte prefix of the previous request matches. Most agent loops reorder, rewrite, or inject fresh timestamps each turn — cache hit rate in practice: <20%.

So they optimize on this plus other techniques to improve cache hits, making it cheaper.

I couldn't find the link that they mentioned too. Maybe they forgot to actually put it?

I am working on a research institute for East Africa, https://maiyoinstitute.org/. I want to tackle the dire lack of environmental data, by using 1. low cost hardware 2. Artificial Intelligence 3. Long term horizon. The problem set is huge, but I am focusing on low cost sensors for Air and Water data collection plus bioacoustics for now.

I am using flash, and it's so good. 150M tokens at $2.

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What do you currently use for json and batch, I was doing some analysis and my results show that gpt-oss-120b (non batch via openrotuer) is the best for now for my use case, better than gemini-flash models (batch on google). How is your experience?

Excellent resource. Small bug to report, the table here is broken (BANTU NEGROIDS section) https://britannica11.org/article/01-0358-africa/africa#secti.... Its quite fascinating to read what they thought about Africans as an African.

From my casual glance, I can see only few images of particular spots and no timeline so that you can go back in history. Seems pretty rudimentary, like the 15 images you get from EOSDA LandViewer that you can only download a very low resolution thumbnail. Did you find the data helpful?

Instead of recompiling the source and installing it again, is there a way to monkey patch the already existing package? It seems like a few lines of code.