Monthly Archives: September 2017

Multi-layered Laser-cut Wood Artworks by Martin Tomsky | Colossal

Art work
This is just one example of the stunningly intricate and beautiful multi-layered laser-cut wood artworks by Martin Tomsky featured over at Colossal. If you look carefully at the image you can see the layers of overlaid wood pieces.

I highly recommend you go to the site and see the rest of his work. Fantastic.

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A math lover’s post

I knew that Paris had streets named after politicians and historical figures, but I didn’t know how many Paris streets are named after mathmaticians. Apparently quite a few! Amazing. One more reason to love Paris.

Dover publishers have the best books when it comes to math. If you want to see some of their better ones, see this list.

Good stuff.

Published on 9/29 at 9:29 🙂

 

The comeuppance of Silicon Valley

It’s not in full decline, but Silicon Valley is on its heels these days, whether due to the practices at Uber or Facebook or Google or …well, the companies that belong there as a whole. Here’s three pieces that all touch on the some of the problems there, but really I could have put three dozen recent articles instead of just these three:

  1. There’s Blood In The Water In Silicon Valley
  2. Privilege and inequality in Silicon Valley – Tech Diversity Files – Medium
  3. Silicon Valley is confusing pseudo-science with innovation – The Verge

Everything I see tells me that they are not equipped to deal with the challenges on their own. If this is true, then expect these high tech companies to come in for a political bruising soon.

On Nash equilibrium and game theory

John Nash
I’ve been interested in Game Theory and in particular how to apply the concept of the Nash Equilibrium to work. These were four links I found useful

  1. Examples and exercises on Nash equilibrium in games in which each player has finitely many actions
  2. The Triumph (and Failure) of John Nash’s Game Theory | The New Yorker
  3. Nash equilibrium – Wikipedia
  4. Game theory text (PDF) from UCLA math department.

(Image of the great man himself from Wikipedia)

Some of my favorite white noise and background screen savers from Youtube

There are lots of videos on Youtube of scenes like this. Some are good for white noise, others are good for acting as a screen saver.

Ocean Waves at night:

Ocean waves in the day:

Snow fall in the forest

Snow storm in the street

Night rain sounds

Rain fall sounds

Here’s 32 ways to live better.


From dealing with difficult people to doing things better, here’s dozens of pieces on how to live better.

  1. Don’t treat love or leisure like a job | Life and style | The Guardian – good advice. I found that non-work activities that I treated like work became less enjoyable. If this sounds like you, read this.
  2. MJ Ryan Mantras For Dealing With Difficult Times – everyone can use this at one time or another in their lives
  3. End the Tyranny of 24/7 Email – The New York Times – what goes for email should also go for social media, Slack, etc. Improve your life: get offline more often.
  4. 7 Rules That Keep My Life Simple : zen habits – simple is often
  5. Relationship Problems? Try Getting More Sleep – The New York Times – sometimes the best approach is to start with the basics: sleep, diet, exercise.
  6. How to Write a Book: 10 Ridiculously Simple Steps – well, not exactly. But a good reminder on how the mechanics of book writing are important.
  7. Choose to Be Grateful. It Will Make You Happier. – The New York Times – if not grateful, then appreciative.
  8. Pmarchive – Guide to Personal Productivity – odd, but interesting.
  9. Achieve Goals By Gamifying Them – 99U if you like games, a good approach
  10. A psychologist explains the limits of human compassion – Vox – a reminder to give yourself a break if you are beating yourself up for not doing more
  11. Turning Negative Thinkers Into Positive Ones – NYTimes.com – this is good.
  12. Inbox Zero trick: How to clean out your inbox on Gmail and start the year fresh. | Cool Mom Tech – smaller inbox, happier life
  13. 10 Life Lessons to Excel in Your 30s | Mark Manson – 30 somethings, take note
  14. The Alan Kazdin Method for Making Your Children Behave – The Atlantic – advice for parents
  15. I’ve started responding to recruiters with this list of requirements · GitHub – how to deal with recruiters. Good idea.
  16. Résumé tips for Wall Street internships – Business Insider – I can’t recommend this, but for those who want that life.
  17. How to Start Running – Well Guide to Running for Beginners – Well Guides – The New York Times – plenty of good resources for new and experienced runners here.
  18. Make Yourself Note-able – who writes, rules.
  19. What Productivity Systems Won’t Solve – good advice, especially for those busy yet feeling stuck.
  20. 11 Ways to Write Better | The Minimalists – I am surprised the minimalists had this many 🙂
  21. Biggest goal setting mistake people make, according to Amy Cuddy – Business Insider – if you feel goal setting isn’t working, read this.
  22. Better Together – Kara’s Inspiration | Oiselle Running Apparel for Women – inspiration from one of my favorite athletes.
  23. How I Got My Attention Back | WIRED – in the Internet era, your attention is valuable. Keep hold of it.
  24. How to Be a Stoic | The New Yorker
  25. I Have 15 ideas To Change Your Life. Do you Have 5 Minutes? -sure you do. So read this.
  26. Tips for Minimal Living and Decor | Apartment Therapy – good advice on how to live minimally.
  27. The Life Balance Wheel: A Printable Tool to Find Harmony at Home | Apartment Therapy – a good technique. Replace things on the wheel with things you value most.
  28. You Should Work Less Hours—Darwin Did – see? now you have a reason to do this.
  29. How to Get to Know Someone: 53 Great Questions to Ask — Gentleman’s Gazette – for those of you that find getting to know people hard.
  30. Actually, we can buy happiness | Oliver Burkeman | Life and style | The Guardian – a good contrarian take on things
  31. Do These 5 Emotionally Intelligent Things Within 5 Minutes Of Meeting Someone – also good.
  32. When an Argument Gets Too Heated, Here’s What to Say – good to know.

(Image from Wikihow)

34 good links on AI, ML, and robots (some taking jobs, some not)

If you are looking to build AI tech, or just learn about it, then you will find these interesting:

  1. Artificial intelligence pioneer says we need to start over – Axios – if Hinton says it, it is worth taking note
  2. Robots Will Take Fast-Food Jobs, But Not Because of Minimum Wage Hikes | Inverse – true. Economists need to stop making such a strong link here.
  3. Artificial Intelligence 101: How to Get Started | HackerEarth Blog – a good 101 piece
  4. Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level – MIT Technology Review – the ability of tech to learn is accelerating.
  5. Now AI Machines Are Learning to Understand Stories – MIT Technology Review – and not just accelerating, but getting deeper.
  6. Robots are coming for your job. That might not be bad news – good alternative insight from Laurie Penny.
  7. Pocket: Physicists Unleash AI to Devise Unthinkable Experiments – not surprisingly, a smart use of AI
  8. AI’s dueling definitions – O’Reilly Media – this highlights one of the problems with AI, and that it is it is a suitcase word (or term) and people fill it with what they want to fill it with
  9. A Neural Network Playground – a very nice tool to start working with AI
  10. Foxconn replaces ‘60,000 factory workers with robots’ – BBC News – there is no doubt in places like Foxconn, robots are taking jobs.
  11. 7 Steps to Mastering Machine Learning With Python – don’t be put off by this site’s design: there is good stuff here
  12. How Amazon Triggered a Robot Arms Race – Bloomberg – Amazon made a smart move with that acquisition and it is paying off
  13. When Police Use Robots to Kill People – Bloomberg this is a real moral quandary and I am certain the police aren’t the only people to be deciding on it. See also: A conversation on the ethics of Dallas police’s bomb robot – The Verge
  14. How to build and run your first deep learning network – O’Reilly Media – more good stuff on ML/DL/AI
  15. This expert thinks robots aren’t going to destroy many jobs. And that’s a problem. | The new new economy – another alternative take on robots and jobs
  16. Neural Evolution – Building a natural selection process with AI – more tutorials
  17. Uber Parking Lot Patrolled By Security Robot | Popular Science – not too long after this, one of these robots drowned in a pool in a mall. Technology: it’s not easy 🙂
  18. A Robot That Harms: When Machines Make Life Or Death Decisions : All Tech Considered : NPR – this is kinda dumb, but worth a quick read.
  19. Mathematics of Machine Learning | Mathematics | MIT OpenCourseWare – if you have the math skills, this looks promising
  20. Small Prolog | Managing organized complexity – I will always remain an AI/Prolog fan, so I am including this link.
  21. TensorKart: self-driving MarioKart with TensorFlow – a very cool application
  22. AI Software Learns to Make AI Software – MIT Technology Review – there is less here than it appears, but still worth reviewing
  23. How to Beat the Robots – The New York Times – meh. I think people need to learn to work with the technology, not try to defeat it. If you disagree, read this.
  24. People want to know: Why are there no good bots? – bot makers, take note.
  25. Noahpinion: Robuts takin’ jerbs
  26. globalinequality: Robotics or fascination with anthropomorphism – everyone is writing about robots and jobs, it seems.
  27. Valohai – more ML tools
  28. Seth’s Blog: 23 things artificially intelligent computers can do better/faster/cheaper than you can – like I said, everyone is writing about AI. Even Seth Godin.
  29. The Six Main Stories, As Identified by a Computer – The Atlantic – again, not a big deal, but interesting.
  30. A poet does TensorFlow – O’Reilly Media – artists will always experiment with new mediums
  31. How to train your own Object Detector with TensorFlow’s Object Detector API – more good tooling.
  32. Rise of the machines – the best – by far! – non-technical piece I have read about AI and robots.
  33. We Trained A Computer To Search For Hidden Spy Planes. This Is What It Found. – I was super impressed what Buzzfeed did here.
  34. The Best Machine Learning Resources – Machine Learning for Humans – Medium – tons of good resources here.