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these reactions seem to signal that our understanding of virality is evolving. When people first started going viral online, there was a real curiosity about what to do with these people. For a while they were basically just a new kind of America’s Funniest Home Videos contestant. In fact, Tay Zonday and Rebecca Black actually performed on America’s Got Talent in 2011. But about five years ago, right around when TikTok was first taking off in the US, we started to view virality with assumption that you could make money on it — if you went viral in a good way. And, now, I think it’s possible that as users continue to learn how to attention-hack on TikTok, we’re going to see more creators who just don’t care what kind of attention they’re getting as long as people are watching. Which makes sense. These newest creators have never known a non-viral world. And the algorithms that put this content in front of us don’t care how it makes us feel, as long as we feel something. So why should we, right?

A common example of diminishing returns is choosing to hire more people on a factory floor to alter current manufacturing and production capabilities. Given that the capital on the floor (e.g. manufacturing machines, pre-existing technology, warehouses) is held constant, increasing from one employee to two employees is, theoretically, going to more than double production possibilities and this is called increasing returns. If we now employ 50 people, at some point, increasing the number of employees by two percent (from 50 to 51 employees) would increase output by two percent and this is called constant returns. However, if we look further along the production curve to, for example 100 employees, floor space is likely getting crowded, there are too many people operating the machines and in the building, and workers are getting in each other's way. Increasing the number of employees by two percent (from 100 to 102 employees) would increase output by less than two percent and this is called "diminishing returns."

In software development, technical debt (also known as design debt[1] or code debt) is the implied cost of additional rework caused by choosing an easy (limited) solution now instead of using a better approach that would take longer.[2] Analogous with monetary debt,[3] if technical debt is not repaid, it can accumulate "interest", making it harder to implement changes. Unaddressed technical debt increases software entropy and cost of further rework.

Common causes of technical debt include: Ongoing development, long series of project enhancements over time renders old solutions sub-optimal.

Parallel development on multiple branches accrues technical debt because of the work required to merge the changes into a single source base. The more changes done in isolation, the more debt.

A good industrial designer understands the capabilities and limitations of the human body in manipulating physical objects, and of the human mind in comprehending mechanical models. A camera designer, for example, shapes her product to fit the human hand. She places buttons such that they can be manipulated with index fingers while the camera rests on the thumbs, and weights the buttons so they can be easily pressed in this position, but won’t trigger on accident. Just as importantly, she designs an understandable mapping from physical features to functions—pressing a button snaps a picture, pulling a lever advances the film, opening a door reveals the film, opening another door reveals the battery.

When the software designer defines the interactive aspects of her program, when she places these pseudo-mechanical affordances and describes their behavior, she is doing a virtual form of industrial design. Whether she realizes it or not. #The software designer can thus approach her art as a fusion of graphic design and industrial design. Now, let’s consider how a user approaches software, and more importantly, why.

If I had to guess why "math reform" is misinterpreted as "math education reform", I would speculate that school is the only contact that most people have had with math. Like school-physics or school-chemistry, math is seen as a subject that is taught, not a tool that is used. People don't actually use math-beyond-arithmetic in their lives, just like they don't use the inverse-square law or the periodic table.

Teach the current mathematical notation and methods any way you want -- they will still be unusable. They are unusable in the same way that any bad user interface is unusable -- they don't show users what they need to see, they don't match how users want to think, they don't show users what actions they can take.

They are unusable in the same way that the UNIX command line is unusable for the vast majority of people. There have been many proposals for how the general public can make more powerful use of computers, but nobody is suggesting we should teach everyone to use the command line. The good proposals are the opposite of that -- design better interfaces, more accessible applications, higher-level abstractions. Represent things visually and tangibly. And so it should be with math. Mathematics, as currently practiced, is a command line. We need a better interface.

Anything that remains abstract (in the sense of not concrete) is hard to think about... I think that mathematicians are those who succeed in figuring out how to think concretely about things that are abstract, so that they aren't abstract anymore. And I believe that mathematical thinking encompasses the skill of learning to think of an abstract thing concretely, often using multiple representations – this is part of how to think about more things as "things". So rather than avoiding abstraction, I think it's important to absorb it, and concretize the abstract... One way to concretize something abstract might be to show an instance of it alongside something that is already concrete.

The mathematical modeling tools we employ at once extend and limit our ability to conceive the world. Limitations of mathematics are evident in the fact that the analytic geometry that provides the foundation for classical mechanics is insufficient for General Relativity. This should alert one to the possibility of other conceptual limits in the mathematics used by physicists.

be inspired by the untapped potential of human capabilities. Don't just extrapolate yesterday's technology and then cram people into it.

If you want a chance at changing minds, you need a new strategy: Stop using your values as a weapon, and start offering them as a gift.

Watching the characters guess at each other’s intentions is exhilarating; each believes the other to be archetypal—just as we do—until a delicate trust blossoms between them.

Critic Roger Ebert enjoyed the film and gave it three out of four stars. He wrote, "There is actually some good writing and acting going on here, if you can step back from the [violent] material enough to see it".[15] Later, in his 2006 review for the horror film The Hills Have Eyes, Ebert referenced The Devil's Rejects, writing, "I received some appalled feedback when I praised Rob Zombie's The Devil's Rejects, but I admired two things about it [that were absent from The Hills Have Eyes]: (1) It desired to entertain and not merely to sicken, and (2) its depraved killers were individuals with personalities, histories and motives".

Decentralized blockchains eliminate middlemen. We live in an era of 30% app store take rates, opaque algorithms, and where an increasingly high volume of content competes for an ever-dividing audience for attention. An outsize amount of the value created on these networks gets siphoned away by the platforms themselves, and a similar degree of uncertainty abounds when it comes to the terms, services, and standards permitted by these platforms.

if you go into the Shanghai City Guide, it’s easy to put together a list of must-visit restaurants or family-friendly activities. Plus, not only is it easy to create bookmarks of places you want to save, but you can also browse other public bookmarks curated by creators and influencers, and then sort the bookmarks by location or distance. This type of bookmark discovery is a completely different use case than how we use Google Maps or Yelp today. Our Western location-based platforms use a manual, search-based process that primarily works for high-intent discovery. In contrast, thanks to the algorithms and user behavior on Douyin, the app can push new places to a user that he or she would never have thought to search for. Short video effectively enables the continuous discovery of the best places around you, and it gets better with every swipe as the platform better understands you and your interests.