Rob Pike has no color - he thinks it is juvenile.
https://groups.google.com/g/golang-nuts/c/hJHCAaiL0so/m/kG3B...
I just don’t see the utility in having a bunch of colors.
2,752 karma · joined August 24, 2012
Rob Pike has no color - he thinks it is juvenile.
https://groups.google.com/g/golang-nuts/c/hJHCAaiL0so/m/kG3B...
I just don’t see the utility in having a bunch of colors.
I was teaching my daughter to program with it. Quiet fun.
Even `send` is frowned upon, but allowed under some circumstances.
But there are alternatives. I would reach for Go. I’m not great at it but good enough that I know I can code up a server. And I know it will be be stable and simple to deploy - upload the binary and run it via systemd.
They are pretty nice!
Like when the fellow walks up in frame perfectly between two windows and hands the viewer something.
Or the FaceTime call where the woman was talking to 3 other people – why weren't they wearing the goggles?
But these would be great on an airplane and probably other circumstances. I doubt I will be buying any time soon though.
# Makefile test: `find * -name "*.go" | entr bash -c "clear; go test ./..."`
The prompt asks for specific aspects from a podcast - people, dates, locations - score them by relevance and count the occurrences. Now, GPT can't count for a damn, but it is a useful proxy. The relevance score is pretty good.
There are existing services that can do this, but with GPT and the API I don't need to read a manual and I define exactly what format I want back.
This is what is exciting - GPT will format its responses to _my_ requirements, not the other way around.
Here is a video of Stepan Mitkin demoing Drakon at an Erlang conference from 2015.
It was a show off feature that solved a problem I’m not sure anyone needed solving. And I doubt it was cheap to create.
This alone didn’t raise an eyebrow but looking back now I see it as a misdirection.
The media bias feature was added. It was silly and probably not cheap to create.
The StackOverflow integration was terrible and a misdirection. Completely unusable.
Then the LLM came. It was slow and inaccurate and in your face . I asked to have it disabled but found now way. I stopped using it soon after.
Too bad. At its core was a great engine from my experience.
With OpenAI, I described it in English, provided sample JSON that I would like, run some tests, adjust and then I am ready.
There was no manual to read, it is in my format, and the language is natural.
And that is what I like about all this -- putting folks with limited technical skills in power.
I am currently on the outskirts of Amish country.
BTW when they come together to raise a barn it is called a frolic. I think we can learn a thing or two from them. And they certainly illustrate that alternatives are possible.
The factory was on Crown Valley at Forbes. The site may have become a preschool - but it is all gone now and a giant condo complex is there.
https://www.ocregister.com/2012/09/27/preschool-approved-for...
https://www.google.com/maps/@33.5578181,-117.6767446,3a,75y,...
Player would be a namespace. It would be a module with no or limited code. Within it would be Controller, Model or the agent noun modules that take call: Creator, Inporter, Mailer - the “er” words indicate there will be a single call function.
We broke from the standard Rails directory structure. All the code for Player would be in one directory - including views.
Unfortunately the FDA report does not include mass either, but I reckon if you were to look at the antibiotics/animal mass you would see that swine is a huge outlier.
At the very least break down the use by animal and mass.
Never mind cows are not raised like pigs which are not raised like chickens. To lump them all together is silly and insulting.
Also the Neeva StackOver display is useless.
I pretty much hit !g now for my searches.
To put this in context Bath County is a reservoir that has 24GWh of storage.
https://en.m.wikipedia.org/wiki/Bath_County_Pumped_Storage_S...
I tried Ruby first but it was just a bit too long.
Julia fit the ticket. I could write a simple simulation that was understandable inside the Tweet.