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Just working on that pedal stroke and things like your descending skills, I love that side of things. The techniquey side of it when it comes to cycling.

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Because a lot of people, as you say, think they just have to get out there and bomb the miles but there is a nuance to it. First of all, cycling has been called a blue collar sport in that you do the work, you put in the hours and you will get better and that is true.

But in saying that there are some things that will add to that volume and improve your bike splits even more. And I think that learning how to ride with good power at different cadences is a key thing.

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So I think mix it up and do some sessions with some real strength sort of cadence work. Like around the 60 cadence and pushing a big gear. So stuff like that is very important. Then throw in the high cadence stuff too.

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Is it a case of you need some time on your legs and miles in your legs before you really start knuckling down on the nitty gritty sort of stuff like power? But given the expense and also that people do have that danger of getting carried away with the gadgets. The analysis of the data and stuff like that. Working poor Proletariat Lumpenproletariat. By country or region. Household Inequality Personal Poverty.

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By using this site, you agree to the Terms of Use and Privacy Policy. Stories and perspectives of IT leaders on tech trends that matter. Artificial Intelligence in the Blue-Collar World With contextere, Gabe Batstone is using AI to help empower blue-collar workers with relevant information delivered right to their fingertips. Listen On:. Why are people dying on the job? And why is there under- or unemployment? Gabe came from a blue-collar background and he thought there was an opportunity to combine AI and the blue-collar industry to answer those questions and come up with solutions.

Who contextere works with — Founded contextere 3. Skynet and the fear that technology would mean the end of work. There was a transition that moved away from fear and more toward an awareness that humans and technology would need to come together to augment work. But AI cannot do all those tasks as well as a human.

There are three differences: Technical infrastructure, cultural interactions, and demographics. Even in rural Canada and other first-world countries, there are limits to access to technology, the internet and other IT.