- Classic Programmer Paintings — hilarity has ensued. The captions are brilliant.
- Equality Takes Work — Women do not prefer saying less: They anticipate the treatment they will receive when they say more.
- Bitcoin as Politics: Distributed Right-Wing Extremism — The lack of any thorough, non-conspiratorial analysis of existing financial systems means that bitcoin fails to embody any true alternative to them. The reasons for this have little to do with technology and everything to do with the existing systems in which bitcoin and all other cryptocurrencies are embedded, systems that instantiate the forms of social power that cannot be eliminated through either wishful thinking or technical or even political evasion: the rich and powerful will not become poor and powerless simply because other people decide to operate alternate economies of exchange. […] Because it operates without such an account, bitcoin’s real utility and purpose (and that of the cryptocurrency movement in general) can be better understood as a “program” for recruiting uninformed citizens into a neoliberal anti-government politics, understanding the nature and effects of which requires just the attention to political theory and history that bitcoin enthusiasts rail against. So … not a fan, then?
- Raising Robotic Natives — design/art artefacts for generations growing up with robots.
Should algorithmic pricing be the norm rather than the exception?
Request an invitation to Next:Economy, our event aiming to shed light on the transformation in the nature of work now being driven by algorithms, big data, robotics, and the on-demand economy.
Companies want a bigger share of the pie than their competitors, capital wants a bigger share than labor (and labor wants right back), countries want a bigger share than their rivals, but true wealth comes when we make a bigger pie for everyone. Well run markets are a proven way to do that.
Surge pricing is one of Uber’s most interesting labor innovations. Faced with the problem that they don’t have enough drivers in particular neighborhoods or at particular hours, they use market mechanisms to bring more drivers to those areas. If they need more drivers, they raise the price to consumers until enough drivers are incented by the possibility of higher earnings to fill the demand. Pricing is not set arbitrarily. It is driven algorithmically by pickup time — the goal is to have enough cars on the road that a passenger will get a car within 3–5 minutes. (Lyft’s Prime Time pricing is a similar system.) Uber keeps raising the price until the pickup time falls into the desired range.
This is clearly an imperfect system. In one case, surge pricing gouged customers during a crisis, and even in more prosaic situations like bad weather, the end of a sporting event, or a holiday evening, customers can see enormous price hikes. This uncertainty undercuts the fundamental promise of the app, of cheap, on-demand transportation. If you don’t know how much the ride will cost, can you rely on it?
Find your way through OSCON with these four learning paths.
The open source movement has been with us for almost two decades, and it’s clear that open source is now a de facto choice for software engineers across the globe. The content that you’ll find at OSCON is a reflection of that fact.
The open source world and OSCON itself are vast. With 48 sessions over two days and a bonus day with 11 workshops to choose from, you’ll no doubt have some tough choices to make when you attend the event. Keeping that in mind, I put together four learning paths that encompass the hot topics and important transitions we’re covering at OSCON.