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John is not only smart and knowledgeable, but an incredibly great person to know in general. I worked with him on a project briefly back in 2012 and he stood out as a champion for science, coding, and education. His posts clearly reflect him well.


Absolutely love these type of keyboards. But ... with how much security I work with for logins, etc, the fingerprint button on my Mac keyboards are amazing time savers that I don't want to live without. Has anyone found a workaround?


This kind of thing is the only way I know of: https://hackaday.com/2022/12/26/standalone-touch-id-for-your...


What I find odd is that definition of "investor" is not that clear. When you click through the links you get blocked at the data provider with no context. There's also a link to another post by the same news provider. When clicking through reference to the data source, the link doesn't work.


It would need to be more than that. A prompt for one model can have different results vs another. Even when the model has different treatment for inference, eg quantization, the same prompt for the unquantized and quantized model could differ.


Even more so, when you come back to understand in a few years, the model will no longer be available


One of several reasons to use an open model even if it isn't quite as good. Version control the models and commit the prompts with the model name and a hash of the parameters. I'm not really sure what value that reproducibility adds though.


Regarding the energy of lifting a 10KG weight 2 KM high is not a 1:1 comparison with the tech here. It's using an LED which much more efficient than a Kerosene powered flame, since most of the energy in the flame is spent in infrared.


Fixed! Thanks for the catch.


Seaborn is my favorite statistical plotting package in Python. I wrote an astro plotting package that digs deep into the Matplotlib internals and it was not easy. Big props to the developer behind Seaborn and the great aesthetics he imbued it with.


The podcast is as entertaining as it is informative. It's really a goldmine of good resources/ideas and it's my favorite podcast to date.


Thank you so much!


Much appreciated!


You're correct, the likelihood of stars colliding is near zero, but the gas that forms stars in both galaxies will collide and that will create quite a spectacular view. It will likely resemble something like this: http://hugepic.io/bfc195a2b/4.00/2.02/-77.61


Space is full of a LOT of empty space. Maybe even more amazing to myself, is the scale works almost the same in inverse. There's also a lot of space at the tiniest scales.

Scale of our solar system: http://joshworth.com/dev/pixelspace/pixelspace_solarsystem.h...


Great finds! This is the kind of stuff that Inspector Git aims to do. I'm honestly surprised how well it did with the Hadoop recommendations.


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