aidanf

An embedding is a collection of learned vectors.

Each vector is an array of n floats that represent a location of a thing in an n-dimensional space. The idea of learning an embedding is that you have some learning process that will put items that are similar into similar parts of that vector space.

The vectors don’t necessarily need to represent words and the model that produces them doesn’t necessarily to be a language model.

For example, embeddings are widely used to generate recommendations. Say you have a dataset of users clicking on products on a website. You could assume that products that get clicked in the same session are probably similar and use that dataset to learn an embedding for products. This would give you vector representing each product. When you want to generate recommendations for a product, you take the vector for that product and then search through the set of all product vectors to find those that are closest to it in the vector space.

> This is about countries, like Ireland or Netherlands, with 0% corporate tax rates.

Ireland's corporate tax rate is 12.5%. It is one of the lowest in Europe but certainly not 0%.

Add to that the fact that the meeting breaks up everyones day, making it more difficult for attendees to have long uninterrupted periods of deep, concentrated work.

Yes, a lot of sales platforms now handle EU VAT. I've used Gumroad, Sendowl and Leanpub and they all handle the EU VAT problem. In each case the author sets a price. They then detect if the customer is in an EU country and apply the VAT rate for that country, adding it on to the customers total. So the author gets the same amount for each sale, but the customers pay different amounts depending on which country they are in.

In theory, if you are selling to customers in the EU you are supposed to collect VAT from your EU customers and make the appropriate VAT return to the VATMOSS authorities. Or else stop selling to EU customers.

In practice, if you're based outside of the EU then you can probably just ignore these regulations (many smaller US sellers seem to be taking this approach). It's hard to imagine the EU tax authorities chasing you down.

Nice work! I'm a long-time emacs user who thought that emacs was the best way to write clojure code. I was really happy with emacs as a clojure dev environment but after trying cursive recently it's now my preferred environment for writing clojure.

From the README, under the performance section:

> This package is not written for speed. It is meant to serve as a working example of an artificial neural network. As such, there is no GPU acceleration. Training using only the CPU can take days or even weeks. The training time can be shortened by reducing the number of updates, but this could lead to poorer performance on the test data. Consider using an exising machine learning package when searching for a deployable solution.

It seems the main aim of this software is educational, not production use.

This is nonsense. Taxi services are regulated for good reason. Many cities and countries have well-regulated transparent taxi industries.

Uber often seems to seek to bypass that regulation because, eh, disruption. I would expect any city to do something when faced with a private corporation attempting to flout their laws for profit. Doing so is in no way correlated with any measure of how corrupt that city is.