Thoughts on management

The manager is like a system administrator. The better he works, the more free time he has (which can be used for larger tasks rather than firefighting and micromanaging). If you get fired because of it, then this is a stupid company, and there is no point in catching something there. Or you just outgrew the company, and it's time to look for new tasks on the side.

If you set up the processes and organize the work so that it doesn't take 100% of your time, you can take more employees, run more projects. Lead a department or a team.

You probably know that you can do a lot more with other people's hands. More people are bigger tasks and a bigger contribution to the company's success.

#management

The AI bot defeated a human pilot(5:0) in a series of virtual air battles that unfolded in the sky, albeit in an air simulator, during a competition conducted by the American military research unit DARPA. This is a detailed 5-hour video of AI actions. All the fun starts at 4:40.

Well, now we've got a machine that kills people better than any human...

https://youtu.be/NzdhIA2S35w

#ml

Lex Fridman explains the number of GPT-3 parameters and explains how much will it cost to train a language model the size of the human brain.

https://youtu.be/kpiY_LemaTc

#ml

Define "production-ready"

I came across this interesting question on one of the stackoverflow-like sites. I've never thought about it in terms of definition. Interesting read.

https://softwareengineering.stackexchange.com/questions/61726/define-production-ready.

#dev

Check it out - upscaled and colorized footage about the earliest born person ever (1905) to be caught on film

https://www.reddit.com/r/interestingasfuck/comments/idbtrg/i_upscaled_and_colorized_the_footage_about_the/

At the moment Kubernetes is one of the most exciting technologies in the world of DevOps. Recently a lot of hype has formed around it for one simple reason, and this reason is the mighty containers.

https://luminousmen.com/post/kubernetes-101

It[AI] wears a cloak of black velvet; and a cowl, covering its face. It sits, on a throne made of dry bones of the dead, at the center of a large hall...
— GPT-3

A small fantastic story in which part of the text and the dialogue at the end are written by neuron GPT-3. At the edges there is communication between the author and the network, for me it seems the most interesting part.

https://jamesyu.org/singular/

#ds

Researchers from Google Research offered a whole family of scalable and efficient classifiers called EfficientDet.

Tests have shown that the new technology is able to show accuracy commensurate with its predecessors, while being 9 times smaller and using less computing power.

https://ai.googleblog.com/2020/04/efficientdet-towards-scalable-and.html (https://ai.googleblog.com/2020/04/efficientdet-towards-scalable-and.html)

#ml #ds

Facebook developed an online solution called TransCoder, whose main task is to translate code from one language to another using deep learning. Now the solution can successfully translate functions between C++, Python 3 and Java.

Now it's easy to move to Python from Java ;)


https://ai.facebook.com/blog/deep-learning-to-translate-between-programming-languages/

#python #ml

The researchers fed raw data from the Kepler telescope (retired) to a ML model that had previously been trained to recognize exoplanets - and received potentially 50 new exoplanets that were previously unknown.

https://www.cnn.com/2020/08/26/tech/ai-new-planets-confirmed-intl-hnk-scli-scn/index.html?tg.

#ml

Why TPU so fast?

https://youtu.be/JC84GCU7zqA

#ml

Data ethics course from fast.ai

https://ethics.fast.ai/

#ml

Interesting story from the ex-googler about GCP lack of support. Many f words, which is understandable for me - I don’t like the platform myself.

https://medium.com/@steve.yegge/dear-google-cloud-your-deprecation-policy-is-killing-you-ee7525dc05dc

NVIDIA introduced its PyTorch-based framework, which is designed to help integrate deep learning solutions into healthcare imaging projects.

https://github.com/Project-MONAI/MONAI

#ml

A large review on how TickTock uses machine learning to increase user engagement and pierce the "filter bubble". Nothing really fancy just interesting to read the problems they trying to solve.

https://www.axios.com/inside-tiktoks-killer-algorithm-52454fb2-6bab-405d-a407-31954ac1cf16.html

Announcing GPU accelerated Spark 3.0

https://youtu.be/tpeGZ7nm0J0

#spark #big_data #ml