#0029: Speak up, my arm can’t hear you
Should I buy cryptocurrency? Is it a bubble? I can’t give any investment advice, but things are certainly ‘hot’ in this space right now. However, the folks from 11FS argue that it is a textbook example of a bubble.
More on ICOs: I just can’t help thinking that people are going to make a bunch of cash once they work out how to short this kind of thing: Bancor Is Flawed. I’m not close enough to the deep technical details to know what’s really going on here (perhaps close enough to be dangerous), but articles like that one really concern me about where this is all headed. For reference, here are the technical details: Bancor Protocol.
We hear a lot about how automation and machine intelligence will make many jobs redundant. The industrial revolution brought about massive social and economic change and saw the workforce transition from a majority of rural agrarian jobs to city-based industrial manufacturing jobs. It’s not entirely clear what the equivalent new jobs will be as automation and machine intelligence wash through the economy, but a global study of more than 1,000 large companies already using AI and machine learning systems has identified three new jobs types with no real precedent in today’s workforce: trainers, explainers, and sustainers.
This is a real ouch quote: “… incidentally, now that Uber doesn’t have a CEO, COO, CTO or CFO we guess this is the closest it’s ever been to a self-driving car company” This article is very bullish on where automation and electrification are taking us.
When Facebook designed a pair of chatbots to negotiate with one another, the bots made up their own way of communicating. Whoa!: “At one point, the researchers write, they had to tweak one of their models because otherwise the bot-to-bot conversation ‘led to divergence from human language as the agents developed their own language for negotiating.’ “
This sounds like a pretty solid business strategy for AI/ML-based start-ups: “solve industry-specific problems by combining AI and subject matter expertise”. The 4-step approach makes a lot of sense: “1) build full-stack products (as opposed to frameworks and libraries), 2) use deep subject-matter expertise (not available in the public domain), 3) use proprietary data (as a differentiated asset), 4) use AI to deliver core value (plumb it all together with AI).”
The Illusion of Measuring What Customers Want. “If someone claims they have a method that promises to measure (quantify) what customers want, they’re trying to scam you.” Good advice.
Here’s 3 mega trends for the future of work: automation, basic income, and post-capitalism.
Way to go, Mexico! “Mexico tempts tourists with a cloud that literally rains tequila”.
Only in Australia
This one might put you to sleep:
Find a whole number which when spelled out has its letters in alphabetical order.
A good night’s sleep to the first correct answer.
Last week’s answer: Broken/purple: hearts, Rough/baseball: diamonds, Sam/garden: spades, Golf/fight: clubs. All are suits of cards, therefore 13. Source: GCHQ Puzzlebook.