Recent submissions

Comment · 6 months ago
who cares?
Comment · 6 months ago
It's clearly AI.

I’m struggling to see the value here. At $50, this seems hard to justify given the availability of cheaper, well-supported options like MuziWorks Duo, Ebyte, and other newer LR1121/LR2021-based designs. Those chips offer both 2.4 GHz and sub-GHz support in a single modern package, often at roughly half the price, which makes the SX1281 feel fairly outdated.

Comment · 6 months ago
Nvm, looks like AI scam.
Comment · 6 months ago
Sounds like bs. Why would someone pay $50 for almost 10 years old hardware when there are plenty of well-supported and cheaper options like MuziWorks Duo / Ebyte / etc with newer LR1121 or LR2021 which combine both 2.4G and SubG bands in single and modern chip at 1/2 of the cost less? SX1281 and SX1281 are relics.
Comment · 11 months ago
Is this whole post and github repo LLM-generated slop?
Comment · 1 year ago
H3 is preferred for geo analytics because it produces a more uniform spatial index with low distortion and consistent distances between cells

Its primary use case was efficient spatial aggregation for applications like pricing, demand forecasting, positioning etc.

Comment · 2 years ago
You may get way more accurate results from relatively small models as well as logits for each class if you ask one question per class instead.
Comment · 2 years ago
Likely not, embeddings are very crude. Embeddings of a text is just an average of "meanings" of words.

As is embeddings lack a lot of tricks that made transformers so efficient.

Comment · 3 years ago
This is very cool.

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