Personal AI Manifesto

Every human should have equal opportunity to access and utilize their own personal AI system.

All data provided by an individual user to any Artificial Intelligence system is, and will remain, the property of the individual providing the data.  The data can be stored on the cloud or locally on the individual users computational device, however, it remains the property of, and only the property of, the individual providing the data.

All results in training the AI are, and will remain, the property of the individual providing the data.  The results can be stored on the cloud or locally on the individual users computational device, however, they remain the property of, and only the property of, the individual providing the data that generated the results.

March 1, 2019

Robert D. Elliott

Indianapolis, IN USA


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Welcome Back Formula 1 Strategy

After more races than I can remember, we finally were treated to an strategic and intriguing Formula 1 race today in Bahrain (politics aside). At last we had the top teams utilizing various strategies among their cars, leading to an uncertain contest and an exciting battle for the win between winner Sebastian Vettel and Valteri Bottas.

Handicapped by his 9th place starting spot, Lewis Hamilton was able to savage a 3rd place finish but clearly he wanted more.  And judging by the provided in-car radio communications, clearly their selected strategy caused him & the team confusion and uncertainty throughout the race.  Radio problems didn’t help.  Imagine their problems if the Red Bulls hadn’t broken down and had remained in the fight.  Perhaps Lewis should actually leave the the Gulf Emirate happy with his 15 points based on the issues he faced throughout their troubled weekend.

Truly impressive was Vettel and Ferrari’s ability to stretch the Soft tire (tyre) for nearly 40 laps and still be able to hold off a charging Bottas on his fresher Medium tire over the last 5 laps.  And perhaps Bottas’ tires weren’t all that great after going over 30 laps themselves.

But it wasn’t all roses for Ferrari as Raikkonen’s race came to an early end due to an unacceptable and completely preventable accident during his pitstop, resulting in a severely injured crew member.  Hopefully, he’ll recover fully soon and they will never repeat such an absurd mistake.  It would have been super interesting had Raikkonen’s pitstop gone correctly and he would have joined in the final charge on the softest, freshest tires.  In a pure analysis, his strategy probably calculates to be the fastest to the finish.

There were interesting battles throughout the field and great surprises from Toro Rosso and Sauber.  Gasly’s 4th place is just insane and completely unexplainable.  Magnusson delivered a strong 5th to make up for the Aussie debacle.  Hulkenberg’s 6th, Alonso’s 7th and Vandoorne 8th’s are pretty much what expected, but how did Sauber and Ericsson pull a 9th out of their hat?  Not a great day for Force India with just Ocon’s 10th place points.  Somebody has to finish outside the top 10 and Sainz should have had to pace to stay in front of Vandoorne & Ericsson but he and Renault didn’t get the job done.  Perez, Grosjean and Hartley had penalties or issues from banging wheels with others.

LeClerc beat the Williams, which are truly lost so far this year.  Sad what has happened to the once proud championship team and it seems they only have themselves to blame.


1 5 Sebastian Vettel FERRARI 57 1:32:01.940 25
2 77 Valtteri Bottas MERCEDES 57 +0.699s 18
3 44 Lewis Hamilton MERCEDES 57 +6.512s 15
4 10 Pierre Gasly SCUDERIA TORO ROSSO HONDA 57 +62.234s 12
5 20 Kevin Magnussen HAAS FERRARI 57 +75.046s 10
6 27 Nico Hulkenberg RENAULT 57 +99.024s 8
7 14 Fernando Alonso MCLAREN RENAULT 56 +1 lap 6
8 2 Stoffel Vandoorne MCLAREN RENAULT 56 +1 lap 4
9 9 Marcus Ericsson SAUBER FERRARI 56 +1 lap 2
10 31 Esteban Ocon FORCE INDIA MERCEDES 56 +1 lap 1
11 55 Carlos Sainz RENAULT 56 +1 lap 0
12 11 Sergio Perez FORCE INDIA MERCEDES 56 +1 lap 0
13 28 Brendon Hartley SCUDERIA TORO ROSSO HONDA 56 +1 lap 0
14 16 Charles Leclerc SAUBER FERRARI 56 +1 lap 0
15 8 Romain Grosjean HAAS FERRARI 56 +1 lap 0
16 18 Lance Stroll WILLIAMS MERCEDES 56 +1 lap 0
17 35 Sergey Sirotkin WILLIAMS MERCEDES 56 +1 lap 0
NC 7 Kimi Räikkönen FERRARI 35 DNF 0

* Provisional results

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Space Distance Widget

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STEM as the Goal. STEAM as a Pathway.

I couldn’t agree more that the “A” is important and serves an important role in STEM achievement. I’m sure early childhood research and approaches such as Montessori would enforce the value of art and some unstructured, open learning approaches. I’ve seen the value in my own daughter from the approach taken in her K-6 education. She’s had teachers who’ve done a great job of incorporating Art projects into STEM learning and it’s been successful in giving her a different “default” approach to her more rigorous STEM work in her later years. She uses more creative approaches to problem-solving than my generation ever did (in my early 50’s) and produces more interesting and impactful analysis and understanding than we did. The A is important.

Computing Education Research Blog

Dr. Gary May, Dean of the College of Engineering at Georgia Tech, is one of my role models.  I’ve learned from him on how to broaden participation in computing, what academic leadership looks like, and how to make sure that education gets its due attention, even at a research-intensive university.

He wrote an essay (linked below) critical of the idea of “STEAM” (Science, Technology, the Arts, and Mathematics).  I just recently wrote a blog post saying that STEAM was a good idea (see link here).  I’m not convinced that I’m at odds with Gary’s point.  I suspect that the single acronym, “STEM” or “STEAM,” has too many assumptions built into it.  We probably agree on “STEM,” but may have different interpretations of “STEAM.”

The term “STEM” has come to represent an emphasis on science, technology, engineering, and mathematics education in schools. A recent Washington Post article critiques exactly that focus: 

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How small?

Very cool comparison of the planets of our solar system and of our sun to other stars. Yes, you guessed it; we’re very, very, very x 10-to-negative-whatever very small.

metricfunk27 (Enter Another World)


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Red Bull wants to quit? Let it…

Great take on Red Bull’s whining by Will Buxton; right on, Will!

The Buxton Blog


Taurine, or 2-aminoethanesulfonic acid, is an organic acid widely distributed in animal tissues. It is a major constituent of bile and can be found in the large intestine.

It is also one of the main ingredients of Red Bull.

It might come as little shock to motorsport fans that the energy drink and bile should have such a chief component in common, so forthcoming has the bitterness spewed from the once all-conquering Formula 1 team been in the aftermath of the Australian Grand Prix. Down on power and down on luck, the target men of the opening half of the decade were lapped in the opening race of the 2015 season and could barely put up a fight to a team which had failed to score a single point the season before.

But the concept that anyone is to blame for the situation Red Bull finds itself in other than…

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Life Lessons from Machine Learning

Nice take on life from an unexpected source (or is it?).

Outlook Zen

What comes to mind when you hear the term “Machine Learning”? A bunch of programmers hunched over their computers in a dark room, working on something completely virtual & divorced from reality? A group of scientists creating a Frankenstein monster that has no resemblance to us whatsoever?

It may certainly seem that way, but you’d be wrong. The accomplishments of Machine Learning (Self-driving cars, human handwriting parsing, IBM Watson) are certainly very technological in nature. But in truth, Machine Learning is equal parts Art and Philosophy, incorporating deep Epistemological insights in order to better make sense of the world. Machine Learning is in essence, a simplified & structured version of what goes on in our minds every single day, in our quest for knowledge.

If this “quest for knowledge” sounds like a bunch of mumbo jumbo and you’re wondering how it’s actually relevant to us…

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