44 Matching Annotations
  1. May 2022
    1. One of the most anticipated objectives for the remainder of the year is the launch of dYdX V4, which will fully decentralize the protocol and prevent any single party from controlling the protocol’s revenue.

      This is a good reason to stick with dydx

  2. Feb 2022
    1. Why crypto is becoming the "port of entry" for all internet media.

      He means that all media on the internet will be ownable in the form of NFTs

  3. Nov 2021
    1. But are these projects, in their current form, good ideas?

      Good question

  4. Oct 2021
    1. 22:544:646 Data Analysis & Visualization

      Light Homework was useful for proejcts

    2. 22:544:608 Business Forecasting

      Good professor Take hom exam, and project Light course

    3. 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining)

      Good proff, Explains well, with R 2 midsems and 1 Mix your projects and exams

    4. 22:544:660 Business Analytics Programming

      Good professor. Light course with Python

  5. Aug 2021
    1. Competition in the industry

      How many competitors are there already?

    2. otential of new entrants into the industry

      How easy is it to get into this space?

    1. In order for a niche community to become a meaningful business, they need to earn income and capture value.

      How do you do this?

  6. Jul 2021
    1. At Google, we developed a context package that makes it easy to pass request-scoped values, cancelation signals, and deadlines across API boundaries to all the goroutines involved in handling a request.

      Context helps share state across multiple request handlers/goroutines. It can also be cancelled or a have a timed deadline.

  7. Jun 2021
    1. Miami Mayor Francis Suarez, who opened Bitcoin 2021, has become a bit of a celebrity in tech circles, for his intense efforts to turn the Magic City into a beachfront Silicon Valley.

      Francis has the right incentives here. Embrace crypto so that miami can prosper even more

    1. He was just ruthlessly decisive, always willing to make the hard call.

      individuals make decisions, not groups. Since your decisions are based on your views, make sure they are anti-fragile. It means that your views will only change and evolve as you discuss them with more and more people.

    1. will find a common base commit between them.

      A common base commit is enough. No need to share a common base history

  8. Apr 2021
    1. systematic reuse of previously learned features and architectures

      Interesting idea.

      • Automating transfer learning
      • Empirically looking at architectures that give best performance on a particular dataet
    2. the jobs of machine learning engineers will not disappear—rather, engineers will move higher up the value creation chain. They will start putting a lot more effort into crafting complex loss functions that truly reflect business goals, and understanding deeply how their models impact the digital ecosystems in which they are deployed (e.g. the users that consume the model's predictions and generate the model's training data)

      AI Engineers can focus on the data part more and reiterate on data splits faster.

    1. Place the cup on the table.

      place_cup_on(furniture: List) functions are basically parameterized imperatives

    1. The argument for “everything that can be automated will be automated” is, in a way, a derivative of the larger argument that “anything that can be done will be done.” Automation is just a way of getting “it” done automatically.

      Automation replaces human skill and effort with automatic machinery, thereby reducing the cost of production

  9. Mar 2021
    1. The overhead layout is good for catalog work, but I think it’s important to put apparel on a human, whether it be in lifestyle or modeling the product. It gives more life and personality to the brand as far as the marketing side.” –Leigh Germy, professional photographer

      We've gotten some qualitative evidence here already. Now we need some numbers and then setup talks with owners of these small marketplaces

    2. Brands with the least product photos featuring people

      All potential clients xD

    3. Do you need humans in your product photos?

      My question: Do humans in product photos drive sales?

    4. Adidas 28.1 images

      We goin to scrape city here!

    5. product photography

      This is a potential vertical that Changeroom can get into

    6. Versions of white, rather than a stark Amazon-type white background, are common — think grays, beiges, off-whites, textured whites, etc.

      This could be a parameter to pass in to the API

    1. The goal of a Literature note is to briefly summarize a key point made in a source.

      source= reference note

    2. Compare that to my experience with my first Roam database where I amassed over 3,000 notes but had no way of easily finding or using them.

      This is my concern too. Even if Zettelkasten has a framework that needs to be practiced and adopted, it would be useful to fully leverage the ideas in my knowledge graph.

    3. Permanent notes

      A permanent note is basically a refined idea or concept

    1. Neatsy’s foot scanning process does require the user to correctly navigate quite a number of steps (see the full flow in the below video). Plus you need to have a pair of single-block colored socks handy (stripy sock lovers are in trouble). So it’s not a two second process, though the scan only has to be done once.

      While this is a pretty good solution, convenience is key. A platform that is synced everywhere with your body's 3D data is what leads to a seamless shopping experience.

    2. based on scanning the insoles of sneakers

      Yup that's how he got product dimensions too

    1. I never had any world-conquering ideas or blue sky visions for the project and tool. I just wanted it to do Internet transfers good, fast and reliably and that’s what I worked on making reality.

      Daniel started with a simple idea and took it seriously

    2. It would then let us “see” the contents of that URL. The letter C is pronounced as see, so “see URL” also worked.

      curl is basically to 'c' contents of a url

    3. I’ve said it many times before but I started poking on this project because I wanted to have a small tool to download currency rates regularly from a web site site so that I could offer them in my IRC bot’s currency exchange.

      It always starts with a personal use case or problem you want to solve for yourself, Daniel initially never imagined scaling his solution. That's why at YC they say, 'Do things that don't scale'

    1. They can get 3D measured in two minutes, and shop at stores including Under Armour, Express, Ted Baker, Nili Lotan, Paige and Good American.

      Definitely partnering with fashion brands

    2. Fit Analytics’ core product is Fit Finder, an app that lets shoppers enter information on a retailer’s website and then makes product recommendations of the best-fitting items.

      Users enter:

      • Height, weight, age
      • 'Loose' fit preferences
      • Questions on your chest and shoulders
    3. Fit Consultant and Fit Intelligence are retailer- and brand-facing tools that use machine learning to help them learn things like age and weight and height distribution among customers to optimize the product mix.

      Model use case of analytics.

    1. so knowledge gained from ImageNet may not transfer to medical images.

      Same goes for document card images

  10. Oct 2020
    1. And so rather than dwell on citrus, Lind moved on to describe his own humour-inspired explanation of scurvy: that it was actually a digestive disease caused by blocked sweat glands.

      'What you know is all there is' bias playing here. Lind tried to fit the evidence to what he knew at the time about the human body. The extremely useful empirical fact about citrus got lost in all that hypothesizing and generalization.

    2. Vitamin C is destroyed by heat—not to mention cutting, bruising, exposure to air, and being cooked in copper pots.

      Science can perhaps get this information faster than empirical evidence.

    3. Even though no one knew the cause of scurvy or what about these various foods made them antiscorbutic, many mariners recognized a connection between their diets and their health.

      There was another problem here. Fruits and vegetables only lasted a couple of weeks before decaying. Long, perennial voyages still required finding a way to reliably store whatever it was inside these fruits that was mitigating scurvy.

    4. The hospital pensioners and most of the young marines were dead.

      Storm and scurvy

    5. worst medical disasters at sea.

      worst "documented" medical disasters at sea