gromgull

https://bash-org-archive.com/?5775

no, but whisper has a 39M model: https://github.com/openai/whisper

this is the funniest thing I've read in a long time. Everyone should go read it now!

kinda nearby "Reality has a surprising amount of detail": http://johnsalvatier.org/blog/2017/reality-has-a-surprising-...

Errant signal did a 1h deep dive into why this game was so influential: https://youtu.be/3AEvEIYzMbU

I was sceptical, but actually watched the whole thing!

Not moving the frets, but changing guitar: https://youtu.be/Daw93bRHe4Y

Bakken & Bæck / ios/backend/frontend devs / Bonn, Germany | Amsterdam, Netherlands | Oslo, Norway | ONSITE

We're a small (~50 people) agency doing design and development of digital products for startups and enterprises. Most recently we helped Coinbase build their new Etherium platform, https://toshi.org/

https://bakkenbaeck.homerun.co/

Bakken & Bæck are looking for a range of people, from machine learning engineers, to front-end devs and designers.

Bakken & Bæck is a digital product development studio with offices in Oslo, Bonn and Amsterdam. We work with exciting startups and great companies in turning big ideas into the next generation of digital products and services. We also build products and spin off ventures of our own.

Among many other things we've built and launched wake.io and orbit.ai

Location: Oslo, Norway. Bonn, Germany, and Amsterdam, Netherlands. Work is mainly ONSITE.

https://bakkenbaeck.homerun.hr/

I am trying with feedly, but on Android:

* no offline support

* no way to not use the built-in browser for opening links

* no way to go from a post to all posts from this source

There is a feed of changes though - both a "realtime" IRC feed that is restricted access and some sort of batch feed (daily? Hourly?)

This looks fun and certainly simple - but I would guess that for many, the actual training of the model is not the show-stopped before "automated, data-driven decisions and data-driven applications are going to change the world."

If you already have clean data in tabular form, with a single target class to predict, and enough training data, the last step was always sort of easy. Much harder is the fact that people expect Big Data and ML to be fairy dust, just give it my DB password and MAGIC comes out. And instead of a clean two-class classification problem you have some ill-defined a bit of clustering, a bit of visulisation and a bit pure guessing -problem.

it's only about a year and a bit old - things don't change that quickly. Come back and ask again in 2020 - with some luck, auto-completion in eclipse will have reached some semi-strong AI point that can glue libraries together for you.

Isn't this just the prolog-ism of backtracking imported into other languages? Especially as long you just evaluate the options in order?