Token Dispatch: “One of the most well-known decentralized messaging platforms is Signal, developed by the Signal Foundation, a non-profit organization dedicated to providing secure communication tools. Signal uses end-to-end encryption to ensure that only the sender and recipient of a message can read its contents. The platform also includes features such as message expiration and disappearing messages, which further enhance the privacy of conversations. Decentralized messaging platforms have their limitations, however. These platforms may not have the same functionality or user-friendliness as traditional messaging apps, and they may not be as widely used, making connecting with friends and family more challenging. Additionally, decentralized messaging platforms may be more vulnerable to technical issues, such as outages or server downtime. Despite these limitations, decentralized messaging platforms offer a secure and private alternative to traditional messaging apps.”
Gloria Mark: “Back in 2004, we found that people averaged 150 seconds on any screen before switching to another screen. By 2012, it had declined to 75 seconds, and between 2016 and 2021, it diminished to 47 seconds. Studies by others have replicated these results within three seconds…Our research found that, on average, people check their inboxes 77 times a day. More than 40% of the time, they do it of their own volition, without being spurred by any alert. We now traverse through the internet in an associative whirlwind, and it’s hard to stop surfing once we start.”
NYTimes: “Google, Meta and other tech giants have been reluctant to release generative technologies to the wider public because these systems often produce toxic content, including misinformation, hate speech and images that are biased against women and people of color. But newer, smaller companies like OpenAI — less concerned with protecting an established corporate brand — have been more willing to get the technology out publicly. The techniques needed to build generative A.I. are widely known and freely available through academic research papers and open source software. Google and OpenAI have an advantage because they have access to deep pockets and raw computing power, which are building blocks for the technology. Still, many top researchers from Google, OpenAI and other leading A.I. labs have struck out on their own in recent months to found new start-ups in the field.”
David Henderson: “The biggest economic issue regarding virtually every policy topic is whether we should have more government or less government. Should we have more government control and even outright government ownership, or should we have less government and more private enterprise? Advocates of more government often bias the debate from the get-go by pointing out ways in which private enterprise, the free market, has failed and then simply assuming that if government control were substituted, it would not fail. The late Harold Demsetz, one of my economics mentors when I was in graduate school at UCLA in the early 1970s, referred to this as the “Nirvana approach.” It consists of comparing real markets with ideal and imaginary government. Surprise, surprise, government often wins. Demsetz advocated instead what he called a “comparative institutions” approach. He argued that we should compare actual markets with actual government…The problem with government accountability is that it’s almost nonexistent.”
Fareed Zakaria: “Populism thrives as an opposition movement. It denounces the establishment, encourages fears and conspiracy theories about nefarious ruling elites, and promises emotional responses rather than actual programs (build a wall, ban immigration, stop trade). But once in government, the shallowness of its policy proposals is exposed, and its leaders can’t blame others as easily. Meanwhile, if non-populist forces are sensible and actually get things done, they defang some of the populist right.”
