- France makes a post-brexit grab for UK’s game developers
- Do elephants have souls?
- How the supermarket helped america win the Cold War
- Three years of misery inside google, the happiest company in tech
- Who am i? Why am i here? Why children should be taught philosophy
- The tragedy of “the tragedy of the commons”
- The east india company: the original corporate raiders
- Can ‘woke’ millennials save playboy?($)
- How segregation caused your traffic jam – the new york times
- Art spiegelman: golden age superheroes were shaped by the rise of fascism
I’ve been reading Range by David Epstein and damn do I have a lot of notes.
Hopefully fuel for some future blog posts. But, for now, I haven’t been able to get over this section in a chapter on non-experts solving problems that bedevilled experts.
“Shubin Dai, who lives in Changsha, China, was the top-ranked Kaggle solver in the world as of this writing, out of more than forty thousand contributors. His day job is leading a team that processes data for banks, but Kaggle competitions gave him an opportunity to dabble in machine learning. His favorite problems involve human health or nature conservation, like a competition in which he won $30,000 by wielding satellite imagery to distinguish human-caused from natural forest loss in the Amazon. Dai was asked, for a Kaggle blog post, how important domain expertise is for winning competitions. “To be frank, I don’t think we can benefit from domain expertise too much… It’s very hard to win a competition just by using [well-known] methods,” he replied. “We need more creative solutions.””
This is referring to Kaggle, a site I haven’t yet found the bravery to crack with my new coding skills 😅
Anyway, it comes amid an exploration of problem solving, and how experts can be trapped by their domain knowledge, falling back into familiar patterns that haven’t worked. Meanwhile the answer, as in the case of some of these kaggle competitions, ie often from somewhere else completely.
““The people who win a Kaggle health competition have no medical training, no biology training, and they’re also often not real machine learning experts,” Pedro Domingos, a computer science professor and machine learning researcher, told me. “Knowledge is a double-edged sword. It allows you to do some things, but it also makes you blind to other things that you could do.””
As always my emphasis
Research, articles, podcasts and videos in no particular order.
- The impact of machine learning on economics
- Do cell phone bans change driver behavior?
- How did the far right take over the web?
- The absurd primacy of the automobile in American life
- The uncanny mind that built ethereum
- Cumulative carbon emissions and economic policy: in search of general principles
- Riding with the stars: passenger privacy in the nyc taxicab dataset
- Metadata is the biggest little problem plaguing the music industry
- An intellectually disabled woman who had long wanted a child but decided to adopt a doll instead
- When did girls start wearing pink?
- Does facebook have a leaks problem?
- The night climbers of islamabad
- Div turakhia just became a billionaire
- It makes no sense that word processors are still designed for the printed page
- Why cartoon characters wear gloves
- Are we really so modern?
- I will never stop learning
- Weather forecasts are ignoring the drought in england
- The dangerous game of croquet
- No more daily bread
- Stem education is vital–but not at the expense of the humanities
- Convicts are returning to farming – anti-immigrant policies are the reason
- I’m the last thing standing between you and the apocalypse
I’ve just started reading a mind at play, a biography of Claude Shannon. He’s the “father of information theory”, without which much of the modern world wouldn’t be.
Shannon reminds me of stories about Richard Feynman. Bursting with curiosity, yes, but also sparked with joy at tinkering with knowledge.
I sometimes feel like this is lost in a world where education is sold as preparation for employment rather than rounding someone out or living a fulfilled life.
“His was a life spent in the pursuit of curious, serious play; he was that rare scientific genius who was just as content rigging up a juggling robot or a flamethrowing trumpet as he was pioneering digital circuits. He worked with levity and played with gravity; he never acknowledged a distinction between the two. His genius lay above all in the quality of the puzzles he set for himself. And the marks of his playful mind—the mind that wondered how a box of electric switches could mimic a brain, and the mind that asked why no one ever decides to say “XFOML RXKHRJFFJUJ”—are imprinted on all of his deepest insights”
And here’s a little vignette from Surely You’re Joking Mr Feynman, one of my favourite books:
“…I laid out a lot of glass microscope slides, and got the ants to walk on them, back and forth, to some sugar I put on the windowsill. Then, by replacing an old slide with a new one, or by rearranging the slides, I could demonstrate that the ants had no sense of geometry: they couldn’t figure out where something was. If they went to the sugar one way, and there was a shorter way back, they would never figure out the short way. It was also pretty clear from rearranging the glass slides that the ants left some sort of trail…”
Not only is this Feynman as a child luxuriating in experimentation and learning for its own sake, but also him repeating the story years later. Despite a dismal career as an myrmecologist, that’s how important and formative he thought experiences like this were.
Putting aside personal fulfilment, I wonder how successful Feynman and Shannon would have been had they not “wasted” time building up other adjacent stores of knowledge.
Especially considering how successful they were at bringing new perspectives and slants to established ideas.
As always my emphasis
One reason I love reading history is how often you find reflections of current worries. This isn’t necessarily good, obviously. Some things should have been left in the dust (notably gig-economy feudalism).
But one thing it does offer is perspective
I’ve just cracked open The Invention of News, for instance, and have immediately been slapped with a couple of things that should be familiar.
The first is that information networks in the pre-information age could only be sustainably maintained by the already rich and powerful. These were run either to ensure a supply of valuable information for private consumption, or the lower quality and somewhat biased stuff to influence others.
The next is that early newspapers existed in such an information rich environment, fighting against other practices and needs, that journalism and journalists themselves were not sustainable.
At the beginning of the fourteenth century only the rich and powerful could afford the cost of maintaining a network of couriers; as a result, those in positions of power largely determined what information should be shared with other citizens…
…this was not yet the age of the professional journalist. The information they provided was hardly ever valuable enough to command the exclusive service of one particular paper. Most sold their stories to whomever would have them. It is only with the great events at the end of the eighteenth century–the struggle for press freedom in England and the French and American revolutions–that newspapers found a strong editorial voice, and at that point a career in journalism became a real possibility. But it was always hazardous. As many of the celebrity politician writers of the French Revolution found, a career could be cut short (quite literally) by a turn in political fortunes. At least these men lived and died in a blaze of publicity. For others, the drones of the trade, snuffling up rumour for scraps, penury was a more mundane danger.
As a journalist I feel both of these but am especially interested in how they relate. As the sheer volume of information has increased, and the value captured by new forms of distribution, the value has declined.
Some information, obviously, is still valuable, but it is increasingly chased behind paywalls or funded for other reasons.
And journalists, especially, are finding it tough. Jobs have disappeared and pay slowed. “Exclusivity” doesn’t really mean anything anymore, and so neither does paying.
Will be interesting to see the trends that led away from this, as the industry matured. Can they be recaptured or substituted?
As always my emphasis