43 Matching Annotations
  1. Mar 2021
    1. Researchers reported that large populations consistently develop highly similar category systems. This may be relevant to lexical aspects of large communication networks and cultures such as folksonomies and language or human communication, and sense-making in general.
    1. ow we might accelerate the path to the Metaverse by a focus on desktop access by remote workers: Could it be that the Metaverse starts with people working together in virtual offices, and then staying around and connecting for various reasons outside of work? 

      this is actually a fascinating theory and i betcha this is actually how the metaverse starts to take hold... people looking for better alternatives than zoom for virtual events, conferences, work meetings, and birthday parties online

      this will merge with video games to create the metaverse

      its hilarious to think of it this way

    1. Katz points out this is an “extreme example to prove a point.” YellowHeart wants to show people how much control can be put into the ticket with smart contracts. Going forward, he says this same tech can be used for general tickets, which could be a huge advancement in the secondary market. Every time an NFT is resold, a percentage of money earned could go to the artist — or whoever is included in the contract, perhaps even a charity. (In such instances, YellowHeart can also set a maximum price that the NFT can be resold at, eradicating scalpers.)

      Dit is volgens mij een killer feature van NFT's in muziek. De rest is leuk maar dit is superinteressant

    1. The COVID Tracking Project. (2020, November 11). Our daily update is published. States reported 1.2 million tests and 131k cases, the highest single-day total since the pandemic started. There are 62k people currently hospitalized with COVID-19. The death toll was 1,347. Https://t.co/WPoX9Nj7ef [Tweet]. @COVID19Tracking. https://twitter.com/COVID19Tracking/status/1326321342933831680

  2. Feb 2021
    1. ReconfigBehSci. (2020, December 5). RT @bhrenton: On average, one person in the U.S. died of Covid-19 every 43 seconds last week. On this morning’s @CNNnewsroom, @Christi_Paul… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1335906973750059009

    1. Miro Weinberger. (2020, December 3). Our 1st Covid-19 wastewater tests since Thanksgiving just came in—Virus levels are up significantly citywide. I hope that all of #BTV will look at this graph and see what I see: A call to action, to stop gathering with other households, and to get tested ASAP if you have https://t.co/8nxTwOOcFA [Tweet]. @MiroBTV. https://twitter.com/MiroBTV/status/1334613511692017664

  3. Nov 2020
    1. Refactoring at scale is challenging and a significant investment, so communicating the progress is important both from a business perspective but also as a motivational effect to developers. In this case we used a combination of complexity trend visualizations and Code Health Metric as shown in the preceding example.

      [[refactoring at scale]]

  4. Oct 2020
  5. Sep 2020
    1. Bavadekar, Shailesh, Andrew Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, et al. ‘Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (Version 1.0)’. ArXiv:2009.01265 [Cs], 2 September 2020. http://arxiv.org/abs/2009.01265.

  6. Aug 2020
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  8. Jun 2020
  9. May 2020
  10. Apr 2020
  11. Mar 2020
    1. the deceptive practices it has been used to shield and enable are on borrowed time. The direction of travel — and the direction of innovation — is pro-privacy, pro-user control and therefore anti-deceptive-design.
  12. Apr 2019
    1. During the recession everyone was trying to grab onto anything that would get them more business. Even small trucking companies were trying to get in on the action by saying they offered 3PL and 4PL services, but most were well out of their element.”
  13. Aug 2018
  14. Jun 2018
    1. Following the history of information technology and the massive trend towards open source, wecan see that democratizing information is the natural next step in the incessant trend to opensource, and thus the next big opportunity for innovation.
    2. Those who succeed the most and establish successful platforms “on top” of the open standardlater tend to consolidate the industry by leveraging their scale (in assets and distribution) tointegrate vertically and expand horizontally at the expense of smaller companies. Competing inthis new environment suddenly becomes expensive and startups struggle to create value in theshadow of incumbents, compressing venture returns.Demand then builds for a low cost, open source alternative to the incumbent platforms, and thecycle repeats itself: the new open standard emerges and gets adopted, the market decentralizes asnew firms leverage the cost savings to compete with the old on price, value creation shiftsupwards (once more), and so on
    3. Information technology evolves in multi-decade cycles of expansion, consolidation anddecentralization. Periods of expansion follow the introduction of a new open platform thatreduces the production costs of technology as it becomes a shared standard. As production costsfall, new firms come to market leveraging the standard to compete with established incumbents,pushing down prices and margins, and decentralizing existing market powers.The price drop attracts new users, increasing the overall size of the market and creating newopportunities for mass consumer applications. Entrepreneurial talent moves to serve the newmarkets where costs are low, competition is scarce, and the upside is high. Often these earlyentrepreneurs will introduce new kinds of business models, orthogonal to existing ones
    1. Games such as The Sims Series, and Second Life are designed to be non-linear and to depend on collective intelligence for expansion. This way of sharing is gradually evolving and influencing the mindset of the current and future generations.[117] For them, collective intelligence has become a norm.
    1. Soon after, Genius made a definitive push to realize Andreessen’s vision. By 2015, Genius claimed 40 million visitors to its website a month, 1 million of whom had annotated a post.
    2. But the biggest problem with the annotator from Genius’ perspective is that few individuals are using it. After more than two years of development, the Chrome extension has only 12,320 users. It was last updated in June 2016.
    1. Recent studies have indicated that Uber’s U.S. driver churn has sharply increased this year, to rates as high as 96%. Needless to say, it’s hard (and costly) to maintain double-digit growth rates, when only 4% of mission critical, de facto employees stay on the job for more than a year.
    2. In historical context, Uber’s extraordinary losses are thus not just a case of growing pains of an ambitious Silicon Valley startup, but a reflection of the deep structural deficiencies in ride-hail industry economics. Prior to artificial regulatory supply caps, the unregulated taxi industry was unprofitable and subject to growing concerns over negative externalities. Uber is now facing the same relentless drag on its P&L.
    1. An underlying theme in much of the work in the field is that existing government regulation of copyright, security, and antitrust is inappropriate in the modern world. For example, information goods, such as news articles and movies, now have zero marginal costs of production and sharing. This has made the redistribution without permission common and has increased competition between providers of information goods.
  15. Sep 2015