I would really appreciate an ELI5, or some examples. For example, would lemmy be regulated by CRA? What about lemmy instances? Is there a difference if there is a fee or a recurrent donations?
Is that adhd? That's definitely adhd!!!
Also watch palm spring
The 21st century has been mostly focused on finding new applications of existing technology. A lot of things are changing in pretty much every aspect of life, but nothing is entirely new.
The internet has really changed the shape of our world, but, even though it really kicked off after the year 2000, it was invented during the 20th century.
Something to keep in mind is that humanity is redifining what counts as an invention, a lot of ideas are created all the time, so the bar has been raised significantly.
Also, we need to keep in mind how big corps have been killing innovation in the name of profit. New products are being created all the time, but they are bought by bigger companies and burried. This is happenig because these innovations carry a certain risk that an established company with a good revenue flow is not willing to accept.
Personally, I am excited about the field of Social Computing, it is still at its infancy and has a lot of potential. The main idea is to create alogirthms based on human interactions that solve real world problems. A few questions one may ask include: How misinformation is being spread, and what is the optimal way to fight it? How do we fight corruption and authoriative power? These questions have been approached by a lot of fields, but creating algorithms and proving their effectiveness requires a deep understanding of computer science.
WOW! https://github.com/modularml/mojo
Been looking for something like this, thanks a lot!!!!
Edit: Had a quick look at the docs. Mojo's initial build was published Sep2022, it's fairly young, but seems to be getting a lot of attention (on GitHub they have the same number of stars as mypy 🤯).
For anyone interested, their roadmap is an interested read. They seem to be taking a step-by-step approach, trying first to nail down core features first before moving to stuff like python inter-op and syntactic sugar.
Mojo still doesn’t support classes, the primary thing Python programmers use pervasively! This isn’t because we hate dynamism - quite the opposite. It is because we need to get the core language semantics nailed down before adding them. We expect to provide full support for all the dynamic features in Python classes, and want the right framework to hang that off of.
The "why mojo" section give a lot of background too. They are implementing an ML-IR compiler, which is really promising for optimization (think all the goodies we could use from LLVM).
My name is kostas, I was 6 years old, and I didn't know how super was spelled.
20 years I wear that spelling mistake as a badge of honour!
Myth: You are lazy.
Truth: It's highly probable you are neurodivergent.
While, accurate numbers are not available, I have seen people estimating that 20% of people working in FAANG are neurodivergent. If coding comes naturally to you but the laundry is your mortal enemy, it's worth learning about ADHD/ASD and other common disorders. Being a coder can be a sign, the immediate feedback helps a bunch of us, or as Russel Barkely says "when you solve a problem on a paper, NOTHING HAPPENS".
Edit: Rephrase.
I totally agree.
IMO the notion of merit is an illusion. It hides the assumption that people can be ranked and compared, but do we truly want to live in such a society?
Also, is that even feasible?
It's impossible to objectively compare humans of similar "skill level". For example, think of Plato and Aristotle, they have been dead for thousands of years and their work has been studied but millions of not billions of people, yet people still argue who was the best philosopher of the two. How can we have a meritocracy if we cannot evaluate merit? You may be able to distinguish experts from beginners for a certain skill, but, when considering roles of influence/power, there are multiple skills and attributes to be considered, and the same principle applies.
It's easier to cheat a merit metric than to evaluate it. Any algorithm that makes a decision based on merit will need to either evaluate or compare it. Both are going to depend on the presence of absence of features that once known to a cheater they will be able to fake them. That makes evaluation and cheating a competing game, where the evaluator and the cheater contiously adapt to one another, with the cheater being much able to adapt much faster.
Any meritocracy will have to be open about it's evaluation process. If it's not participants with merit cannot know how to demonstrate it and the process is prune to corruption.
Personally, I believe making decisions based on trust is much better. It's hard to build trust and it cannot be cheated. Of course, cheater may try to influence decision makers with bribes or blackmail. But, once this is found trust is destroyed and they get rejected.
Just do it, whenever you fix a bug, add a test case for it, the cost is not going to be noticeable. You may choose to not upload the test suite right away, but wait until someone notices and asks you about it.
I would learn to fly and then fly to one of those parks where secret service agents meet. Become a spy and sell the intelligence I gather.
For this case yes, but there is a night schedule for pharmacies for a reason.
Emergencies occur during the night, and avoiding escalation when it's not necessary removes the burden from the health care services.
My understanding is that the company would be regulated by CRA and not the developer. However, that does not stop the company from pushing the developer for CRA compliance.