ely-s

Sorry here is the right link https://theatlasnetwork.ai/

I use this ai tool that checks in over sms every day, and is more conversational.

https://www.atlasnetwork.org/

For me, the benefit of pi is what it doesn't do.

Thank you! <3

In Praise of Idleness, Bertrand Russel

unspun | Swift Engineer | San Francisco Bay Area We built an automated process for creating perfectly fitting jeans. Starting from a customer’s 3D body scan, our system generates customized pattern pieces that are then assembled on-demand. This removes the need for inventory and eliminates unnecessary waste.

We're looking for a swift dev to join the small software team.

Job Description: https://angel.co/company/unspun/jobs/1460386-ios-engineer

email: [email protected]

unspun | Swift Engineer | San Francisco Bay Area

We built an automated process for creating perfectly fitting jeans. Starting from a customer’s 3D body scan, our system generates customized pattern pieces that are then assembled on-demand. This removes the need for inventory and eliminates unnecessary waste.

We're looking for a swift dev to join the small software team.

Job Description: https://angel.co/company/unspun/jobs/1460386-ios-engineer

email: [email protected]

It's too soon.

This quote.

> We worked at a startup that leveraged autonomous blockchains to transfer money from naïve investors to slightly less naïve twenty-somethings. There are worse gigs.

There seems to be an unfair comparison between the various network architectures. The reported speed and accuracy improvements should be taken with a bit of scepticism for two reasons.

* This is the first yolo implemented in Pytorch. Pytorch is the fastest ml framework around, so some of YOLOv5's speed improvements may be attributed to the platform it was implemented on rather than actual scientific advances. Previous yolos were implemented using darknet, and EfficientDet is implemented in TensorFlow. It would be necessary to train them all on the same platform for a fair speed comparison.

* EfficientDet was trained on the 90-class COCO challenge (1), while YOLOv5 was trained on 80 classes (2).

[1] https://github.com/ultralytics/yolov5/blob/master/data/coco....

[2] https://github.com/google/automl/blob/master/efficientdet/in...

I had no idea which parts of this website were real.

Reading HN, Smashing Magazine, and A List Apart will pay off greatly in a few years.

You mostly have a presentation problem if you have marketable skills that won't sell. I started when I was 15 and the trick was displaying confidence, humility, and maturity in every interaction. It's harder than it sounds.

Life Work by Donald Hall

There's a meetup for your favorite JS library here, but I haven't found a group that I deeply enjoy going to yet. The challenge has been finding the right proportions of casualness, skill, and drive to actually build something in a group.

I'm not far from Stanford, so I would also be interested in a good answer to this.

I work at an early-stage startup where we all do a bit of devops, but I end up doing most of the configuration.

I've been waiting for this day for a long, long time.

My guiding principle is to code something so that you only have to code it once.

> I am concerned that scientific and technological advancements are happening faster than intellectual and moral progress.

I couldn't agree more.

This is interesting experimental evidence in spite of the NFL theorem, which refutes the notion of a generally superior algorithm.

https://en.wikipedia.org/wiki/No_free_lunch_theorem

I would reconcile it by saying that the UCI contains a biased subset of all theoretical classification tasks.

Desert Places by Robert Frost

Snow falling and night falling fast, oh, fast In a field I looked into going past, And the ground almost covered smooth in snow, But a few weeds and stubble showing last.

The woods around it have it-it is theirs. All animals are smothered in their lairs. I am too absent-spirited to count; The loneliness includes me unawares.

And lonely as it is, that loneliness Will be more lonely ere it will be less- A blanker whiteness of benighted snow With no expression, nothing to express.

They cannot scare me with their empty spaces Between stars-on stars where no human race is. I have it in me so much nearer home To scare myself with my own desert places.

Ode by Arthur William Edgar O'Shaughnessy.

WE are the music-makers,

  And we are the dreamers of dreams, 

Wandering by lone sea-breakers,

  And sitting by desolate streams; 

World-losers and world-forsakers, On whom the pale moon gleams:

Yet we are the movers and shakers

  Of the world for ever, it seems. 

 

With wonderful deathless ditties

We build up the world's great cities, And out of a fabulous story

  We fashion an empire's glory: 

One man with a dream, at pleasure,

  Shall go forth and conquer a crown; 

And three with a new song's measure Can trample an empire down.

We, in the ages lying

  In the buried past of the earth, 

Built Nineveh with our sighing,

  And Babel itself with our mirth;

And o'erthrew them with prophesying

  To the old of the new world's worth; 

For each age is a dream that is dying,

  Or one that is coming to birth.

I don't see how any of these points directly threaten piketty's conclusion, that "r > g is a force for divergence," at least as they are presented here.

The first counterargument is nothing new. It's in the Solow model for Pete's sake! It only threatens the returns to capital as a theoretical conclusion in the distant, long-run future (going off the Solow model). Piketty has made an empirical argument off historical data.

The second paragraph saying most of r has come from capital gains in the financial market just looks silly before the one saying most of capital gains has been from an appreciation in land value. I don't know if that is how the original argument goes.

The only use for this I can think of would be to make it take less characters.