The approach many courses take to physics, specially "modern Physics" is really bad, this is how it should be taught:
- start by describing experiments that the previous best theory did not explain, see also: Section "Physics education needs more focus on understanding experiments and their history"
- then, give the final formula for the next best theory
- then, give all the important final implications of that formula, and how it amazingly describes the experiments. In particular this means: doing physics means calculating a number
- then, give some mathematical intuition on the formulas, and how the main equation could have been derived
- finally, then and only then, start deriving the outcomes of the main formula in detail
This is likely because at some point, experiments get more and more complicated, and so people are tempted to say "this is the truth" instead of "this is why we think this is the truth", which is much harder.
Related:
- settheory.net/learnphysics and www.youtube.com/watch?v=5MKjPYuD60I&list=PLJcTRymdlUQPwx8qU4ln83huPx-6Y3XxH from settheory.net
- math.ucr.edu/home/baez/books.html by John Baez. Mentions:Ciro Santilli is trying to change that: OurBigBook.com.
This webpage doesn't have lots of links to websites. Websites just don't have the sort of in-depth material you need to learn technical subjects like advanced math and physics — at least, not yet. To learn this stuff, you need to read lots of books
- web.archive.org/web/20210324182549/http://jakobschwichtenberg.com/one-thing/ by Jakob Schwichtenberg
People will be more interested if they see how the stuff they are learning is useful.
Achieving novel results for science, or charitable goals (e.g. creating novel tutorials) are also equaly valid. Note that those also imply you being able to make a living out of something, just that you will be getting donations and not become infinitey rich. and that is fine.
Projects don't need of course to reach the level of novel result. But they must at least aim at moving towards that.
This is one of the greatest challenges of education, since a huge part of the useful information is locked under enterprise or military secrecy, or even open academic incomprehensibility, making it nearly to impossible for the front-line educators to actually find and teach real use cases.
Keep the example/theory ratio high, very, very high.
Rather, we should group students by subject of interest; e.g. natural sciences, social sciences, a sport, etc., just like in any working adult organization!
This way, younger students can actually actively learn from and collaborate with older students about, see notably Jacques Monod's you can learn more from older students than from faculty.
This becomes even more natural when you try to give students must have a flexible choice of what to learn.
This age distinction should be abolished at all stages of the system, not only within K-12, but also across K-12, undergraduate education and postgraduate education.
This idea is part of the ideal that the learning environment should be more like a dojo environment (AKA peer tutoring, see also dojo learning model), rather than an amorphous checkbox ticking exercise in bureaucracy so that "everyone is educated".
Perhaps, even more importantly, is that we should put much more emphasis on grouping students with other students online, where we can select similar interest amongst the entire population and not just on a per-local-neighbourhood basis.
Tell students to:
- make suggestions to the course material themselves, since you have used text and published your source.Review their suggestions, and accept the best ones.
- answer the questions of other students on your online forum. Let them work instead of you.
Praise those that do this very highly, and give them better grades if you have that superpower.
Whatever you do, even if it is playing video games: if you manage to produce related content that will interest other people, and possibly allow you to get paid, it will much much fun to do that thing.
How to use a single source multiple times in a Wikipedia article? Updated 2025-07-01 +Created 1970-01-01
en.wikipedia.org/wiki/Help:Footnotes#Footnotes:_using_a_source_more_than_once gives the following method:
Definition, anywhere on article, likely ideally as the first usage:
<ref name="myname">{{cite web ...}}</ref>
And then you can use it later on as:which automatically expands the exact same thing, or using the shortcut:
<ref name="myname" />
{{r|myname}}
To cite multiple pages of a book: en.wikipedia.org/wiki/Wikipedia:Citing_sources#Citing_multiple_pages_of_the_same_source, the best method is to define and use the reference without adding the Do not set the page in or for multiple pages:
p
or location
in cite
as:<ref name="googleStory">{{cite book |title=The Google Story}}</ref>{{rp|p=123}}
cite
, otherwise it shows up on the references. Instead we use the {{rp}}
template. And then use the reference with the {{r}}
template as:{{r|googleStory|p=456}}
{{r|googleStory|pp=123, 156-158}}
Circa 2023, the feed is an unbearable list of stupid suggestions, never-ending idiotic memes, and you just end up missing posts you actually care about from people you actually follow.
- www.komando.com/social-media/facebook-customized-feeds/847500/
- www.quora.com/How-do-I-limit-my-news-feed-to-friends-only-on-Facebook
- www.youtube.com/watch?v=SIA8VydqiNQ OK they split their feed into multiple feeds. However on page follows www.facebook.com/?filter=pages&sk=h_chr you very quickly reach:the history doesn't go back even a few days as of November 2023! And the favorites feed www.facebook.com/?filter=favorites&sk=h_chr is more explicit on their ridiculous timing:OMG!
You're all caught up on Most Recent posts Check back later for more updates
Here is an animation demo with some useful controls:
HTML snippet:
new class extends OurbigbookCanvasDemo {
init() {
super.init('hello');
this.pixel_size_input = this.addInputAfterEnable(
'Pixel size',
{
'min': 1,
'type': 'number',
'value': 1,
}
);
}
draw() {
var pixel_size = parseInt(this.pixel_size_input.value);
for (var x = 0; x < this.width; x += pixel_size) {
for (var y = 0; y < this.height; y += pixel_size) {
var b = ((1.0 + Math.sin(this.time * Math.PI / 16)) / 2.0);
this.ctx.fillStyle =
'rgba(' +
(x / this.width) * 255 + ',' +
(y / this.height) * 255 + ',' +
b * 255 +
',255)'
;
this.ctx.fillRect(x, y, pixel_size, pixel_size);
}
}
}
}
Interesting website, hosts mostly:
- datasets
- ANN models
- some live running demos called "apps": e.g. huggingface.co/spaces/ronvolutional/ai-pokemon-card
What's the point of this website vs GitHub? www.reddit.com/r/MLQuestions/comments/ylf4be/whats_the_deal_with_hugging_faces_popularity/
The key takeaway is that setting an explicit value function to an AGI entity is a good way to destroy the world due to poor AI alignment. We are more likely to not destroy by creating an AI whose goals is to "do want humans what it to do", but in a way that it does not know before hand what it is that humans want, and it has to learn from them. This approach appears to be known as reward modeling.
Some other cool ideas:
- a big thing that is missing for AGI in the 2010's is some kind of more hierarchical representation of the continuous input data of the world, e.g.:
- game theory can be seen as part of artificial intelligence that deals with scenarios where multiple intelligent agents are involved
- probability plays a crucial role in our everyday living, even though we don't think too much about it every explicitly. He gives a very good example of the cost/risk tradeoffs of planning to the airport to catch a plane. E.g.:
- economy, and notably the study of the utility, is intrinsically linked to AI alignment
This section is about games initially designed for humans, but which ended up being used in AI development as well, e.g.:
- board games such as chess and Go
- video games such as Minecraft or old Video game console games
Allow us to determine with good approximation in a multi-electron atom which electron configuration have more energy. It is a bit like the Aufbau principle, but at a finer resolution.
Note that this is not trivial since there is no explicit solution to the Schrödinger equation for multi-electron atoms like there is for hydrogen.
For example, consider carbon which has electron configuration 1s2 2s2 2p2.
Created by Dr. Rod Nave from Georgia State University, where he worked from 1968 after his post-doc in North Wales on molecular spectroscopy.
While there is value to that website, it always feels like it falls a bit too short as too "encyclopedic" and too little "tutorial-like". Most notably, it has very little on the history of physics/experiments.
Ciro Santilli likes this Rod, he really practices some good braindumping, just look at how he documented his life in the pre-social media Internet dark ages: hyperphysics.phy-astr.gsu.edu/Nave-html/nave.html
The website evolved from a HyperCard stack, as suggested by the website name, mentioned at: hyperphysics.phy-astr.gsu.edu/hbase/index.html.
Shame he was too old for CC BY-SA, see "Please respect the Copyright" at hyperphysics.phy-astr.gsu.edu/hbase/index.html.
exhibits.library.gsu.edu/kell/exhibits/show/nave-kell-hall/capturing-a-career has some good photo selection focused on showing the department, and has an interview.
Kell hall is a building of GSU that was demolished in 2019: atlanta.curbed.com/2020/1/31/21115980/gsu-georgia-state-atlanta-kell-hall-demolition-park-library-north
Basically means "company with huge server farms, and which usually rents them out like Amazon AWS or Google Cloud Platform
Cover up the entire sky in a compatible way with the traditional constellations. They are also very square, the boundaries consisting only of vertical and horizontal lines on the sphere.
IBM 2017 beryllium hydride ground state calculation on a quantum computer Updated 2025-07-01 +Created 1970-01-01
There are unlisted articles, also show them or only show them.