I think most of us software engineering (or related) people don't use the gui interface for file management. I've been using macOS for the last 20 years and I only used the gui for files like 10 or 20 times maybe. Not sure who the target audience is but at $19.99 I would pay a lot of money to have a list of the people who bought the app.
Its general purpose. For now I'm trying to build out all the basic language features. Once its built I'll use it as my daily driver for whatever I'm coding.
It's a lisp so it can be used for anything since macros have been implemented. You can create your own syntax using macros.
Is it just HN or is Europe really a surveillance state? Seems every article posted on here is about how different governments in Europe are passing more laws to spy on their citizens.
If it truly is like this how are you Europeans ok with this? Do you really trust your politicians to have your best interest at heart?
The Mahasi method is quite different. You don't try to calm or control your mind. You observe and note your experiences as they're happening. Over time the calmness comes (and goes) but its not the goal. The goal is to see reality clearly. This clear seeing (which is where the word Vipassana comes from) leads to a change in the habit patterns that cause our stress and suffering.
> Faced with observations of early black holes and galaxies that weren’t expected to exist, scientists have come up with a wealth of new theories to explain them. Now they just need to figure out which ones are true.
This subtitle really bothers me. Science isn't about finding out what is true. Science is about finding out what is false and building models to explain the rest. We can never confidently say we know something to be true because that closes the door for future science to disprove our beliefs and that's exactly the purpose of science.
The best we can do is come up with increasingly more useful models accepting that in the end all models are wrong but different models are useful for different purposes.
It's always hard to predict the next big leap in technology but it seems that companies will soon have a surplus of GPUs and RAM as their AI experiments come to an end. This will create some interesting opportunities for machine learning and, especially, robotics.
I think a major push we'll see soon is in the autonomous robots space. Things like self-driving cars, factory automation, and, more interestingly, home automation robots. There are a few efforts like Figure and Memo by Sunday to make general purpose humanoid robots. In the next 5 years I suspect we'll see a ramp-up in these efforts.
We've been dreaming of these bots since, at least, Karel Čapek's Rossum's Universal Robots play from 1920. The idea that one could have a machine do the cleaning and cooking has captivated the imagination of every generation. I feel we're very close to making this a reality.
Of course, as with all technology, dark patterns will emerge. Humans will become attached to these machines and anthropomorphize them. Imagine the prospect of having your emotional and physical needs taken care of by a thing that looks like an attractive 20 something year old who never ages, never argues with you, and never says no. Many countries are already experiencing negative population growth and if people start having romantic relationships with their bots this could become an epidemic.
Because the smaller players can't afford to implement the new regulations they lose their marketshare and it now becomes available for the bigger competitors to absorb.
Regulations create monopolies. Even when regulations are aimed at curbing the control of giants, smaller players usually can't afford them and lose market share. This is actually taught as a competitive advantage strategy in business school. Corporations lobby the government to implement laws that seem to hurt them but in actuality create an uneven playing field where marketshare becomes available due to the higher implementation cost.
They never use data to make decisions. I used to ask my managers for ROI analysis on new features they wanted to work on and they would stare blankly at me like I was speaking a foreign language. These people do things by "instincts" and for optics not because they've done any kind of analysis. Its easy for departments to be inefficient if your company is making billions of dollars per year. The million dollar losses go unnoticed.
Yeah, thats a good observation. I wanted to keep the Python types like True, False, and None since its built for Python. That made more sense to me so that users could easily embed it into their Python scripts.
Its very early stages and missing a lot of key features but its been a lot of fun figuring stuff out. Will definitely study your source code to learn more.