In the Galilean transformation, there are two separate invariants that two inertial frame of reference always agree on between two separate events:
- time
- length, given by the Pythagorean theorem
However, in special relativity, neither of those are invariant separately, since space and time are mixed up together.
Instead, there is a new unified invariant: the spacetime-interval, given by:
Note that this distance can be zero for two events separated.
Mathematically, we can decide if two events are timelike-separated or spacelike-separated by just looking at the sign of the spacetime interval between them.
On the light cone, these are events on the left/right part of the cone.
Different observers might not agree on the order of two spacelike-separated events.
Further discussion at Section "Light cone".
The opposite of those events are timelike-separated events.
If you can reduce a mathematical problem to the Halting problem of a specific turing machine, as in the case of a few machines of the Busy beaver scale, then using Turing machine deciders could serve as a method of automated theorem proving.
That feels like it could be an elegant proof method, as you reduce your problem to one of the most well studied representations that exists: a Turing machine.
However it also appears that certain problems cannot be reduced to a halting problem... OMG life sucks (or is awesome?): Section "Turing machine that halts if and only if Collatz conjecture is false".
Haven't found the one yet:
- open source software, doh
- end-to-end encryption...
- has browser frontend and Android app
- public URL without sharing your mobile phone: messaging software that force you to have a mobile phone
- self-destroying messages (turned on by default please)
- user base large enough to give some confidence that it was reviewed for security issues
- easy/built-in setup over Tor
Optional but really ideal:
- can delete messages from the device of the person you sent it to, no matter how old
- decentralized, your username is a public key
The state of messaging is ridiculous as of 2020.
- Stern-Gerlach experiment
- fine structure split in energy levels
- anomalous Zeeman effect
- of a more statistical nature, but therefore also macroscopic and more dramatically observable:
- ferromagnetism
- Bose-Einstein statistics vs Fermi-Dirac statistics. A notable example is the difference in superfluid transition temperature between superfluid helium-3 and superfluid helium-4.
The orthogonal group has 2 connected components:
- one with determinant +1, which is itself a subgroup known as the special orthogonal group. These are pure rotations without a reflection.
- the other with determinant -1. This is not a subgroup as it does not contain the origin. It represents rotations with a reflection.
It is instructive to visualize how the looks like in :
- you take the first basis vector and move it to any other. You have therefore two angular parameters.
- you take the second one, and move it to be orthogonal to the first new vector. (you can choose a circle around the first new vector, and so you have another angular parameter.
- at last, for the last one, there are only two choices that are orthogonal to both previous ones, one in each direction. It is this directio, relative to the others, that determines the "has a reflection or not" thing
As a result it is isomorphic to the direct product of the special orthogonal group by the cyclic group of order 2:
A low dimensional example:because you can only do two things: to flip or not to flip the line around zero.
- www.quora.com/What-are-some-good-research-schools-PhD-for-Artificial-General-Intelligence-not-Machine-Learning/answer/Ciro-Santilli What are some good research schools (PhD) for Artificial General Intelligence (not Machine Learning)?
- 2020 towardsdatascience.com/four-ai-companies-on-the-bleeding-edge-of-artificial-general-intelligence-b17227a0b64a Top 4 AI companies leading in the race towards Artificial General Intelligence
- Douglas Hofstadter according to www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/ The Man Who Would Teach Machines to Think (2013) by James Somers
- Pei Wang from Temple University: cis.temple.edu/~wangp/
Running:gives:
hd hello_world.out
00000000 7f 45 4c 46 02 01 01 00 00 00 00 00 00 00 00 00 |.ELF............|
00000010 02 00 3e 00 01 00 00 00 b0 00 40 00 00 00 00 00 |..>.......@.....|
00000020 40 00 00 00 00 00 00 00 10 01 00 00 00 00 00 00 |@...............|
00000030 00 00 00 00 40 00 38 00 02 00 40 00 06 00 03 00 |....@.8...@.....|
00000040 01 00 00 00 05 00 00 00 00 00 00 00 00 00 00 00 |................|
00000050 00 00 40 00 00 00 00 00 00 00 40 00 00 00 00 00 |..@.......@.....|
00000060 d7 00 00 00 00 00 00 00 d7 00 00 00 00 00 00 00 |................|
00000070 00 00 20 00 00 00 00 00 01 00 00 00 06 00 00 00 |.. .............|
00000080 d8 00 00 00 00 00 00 00 d8 00 60 00 00 00 00 00 |..........`.....|
00000090 d8 00 60 00 00 00 00 00 0d 00 00 00 00 00 00 00 |..`.............|
000000a0 0d 00 00 00 00 00 00 00 00 00 20 00 00 00 00 00 |.......... .....|
000000b0 b8 01 00 00 00 bf 01 00 00 00 48 be d8 00 60 00 |..........H...`.|
000000c0 00 00 00 00 ba 0d 00 00 00 0f 05 b8 3c 00 00 00 |............<...|
000000d0 bf 00 00 00 00 0f 05 00 48 65 6c 6c 6f 20 77 6f |........Hello wo|
000000e0 72 6c 64 21 0a 00 2e 73 79 6d 74 61 62 00 2e 73 |rld!...symtab..s|
000000f0 74 72 74 61 62 00 2e 73 68 73 74 72 74 61 62 00 |trtab..shstrtab.|
00000100 2e 74 65 78 74 00 2e 64 61 74 61 00 00 00 00 00 |.text..data.....|
00000110 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
*
00000150 1b 00 00 00 01 00 00 00 06 00 00 00 00 00 00 00 |................|
00000160 b0 00 40 00 00 00 00 00 b0 00 00 00 00 00 00 00 |..@.............|
00000170 27 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |'...............|
00000180 10 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000190 21 00 00 00 01 00 00 00 03 00 00 00 00 00 00 00 |!...............|
000001a0 d8 00 60 00 00 00 00 00 d8 00 00 00 00 00 00 00 |..`.............|
000001b0 0d 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000001c0 04 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000001d0 11 00 00 00 03 00 00 00 00 00 00 00 00 00 00 00 |................|
000001e0 00 00 00 00 00 00 00 00 e5 00 00 00 00 00 00 00 |................|
000001f0 27 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |'...............|
00000200 01 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000210 01 00 00 00 02 00 00 00 00 00 00 00 00 00 00 00 |................|
00000220 00 00 00 00 00 00 00 00 90 02 00 00 00 00 00 00 |................|
00000230 08 01 00 00 00 00 00 00 05 00 00 00 07 00 00 00 |................|
00000240 08 00 00 00 00 00 00 00 18 00 00 00 00 00 00 00 |................|
00000250 09 00 00 00 03 00 00 00 00 00 00 00 00 00 00 00 |................|
00000260 00 00 00 00 00 00 00 00 98 03 00 00 00 00 00 00 |................|
00000270 4c 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |L...............|
00000280 01 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000290 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000002a0 00 00 00 00 00 00 00 00 00 00 00 00 03 00 01 00 |................|
000002b0 b0 00 40 00 00 00 00 00 00 00 00 00 00 00 00 00 |..@.............|
000002c0 00 00 00 00 03 00 02 00 d8 00 60 00 00 00 00 00 |..........`.....|
000002d0 00 00 00 00 00 00 00 00 01 00 00 00 04 00 f1 ff |................|
000002e0 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
000002f0 11 00 00 00 00 00 02 00 d8 00 60 00 00 00 00 00 |..........`.....|
00000300 00 00 00 00 00 00 00 00 1d 00 00 00 00 00 f1 ff |................|
00000310 0d 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |................|
00000320 00 00 00 00 04 00 f1 ff 00 00 00 00 00 00 00 00 |................|
00000330 00 00 00 00 00 00 00 00 2d 00 00 00 10 00 01 00 |........-.......|
00000340 b0 00 40 00 00 00 00 00 00 00 00 00 00 00 00 00 |..@.............|
00000350 34 00 00 00 10 00 02 00 e5 00 60 00 00 00 00 00 |4.........`.....|
00000360 00 00 00 00 00 00 00 00 40 00 00 00 10 00 02 00 |........@.......|
00000370 e5 00 60 00 00 00 00 00 00 00 00 00 00 00 00 00 |..`.............|
00000380 47 00 00 00 10 00 02 00 e8 00 60 00 00 00 00 00 |G.........`.....|
00000390 00 00 00 00 00 00 00 00 00 68 65 6c 6c 6f 5f 77 |.........hello_w|
000003a0 6f 72 6c 64 2e 61 73 6d 00 68 65 6c 6c 6f 5f 77 |orld.asm.hello_w|
000003b0 6f 72 6c 64 00 68 65 6c 6c 6f 5f 77 6f 72 6c 64 |orld.hello_world|
000003c0 5f 6c 65 6e 00 5f 73 74 61 72 74 00 5f 5f 62 73 |_len._start.__bs|
000003d0 73 5f 73 74 61 72 74 00 5f 65 64 61 74 61 00 5f |s_start._edata._|
000003e0 65 6e 64 00 |end.|
000003e4
Given enough computational power per dollar, AGI is inevitable, but it is not sure certain ever happen given the end of end of Moore's Law.
Alternatively, it could also be achieved genetically modified biological brains + brain in a vat.
Imagine a brain the size of a building, perfectly engineered to solve certain engineering problems, and giving hints to human operators + taking feedback from cameras and audio attached to the operators.
This likely implies transhumanism, and mind uploading.
Ciro Santilli joined the silicon industry at one point to help increase our computational capacity and reach AGI.
Ciro believes that the easiest route to full AI, if any, could involve Ciro's 2D reinforcement learning games.
Link to an image or video in another file that has an
\x
on title from another file Updated 2024-12-23 +Created 1970-01-01Issue report at: github.com/ourbigbook/ourbigbook/issues/198 Suppose you had:
programming-language.ciro
= Programming language
\Image[https://raw.githubusercontent.com/cirosantilli/media/master/python-logo.jpg]
{title=The \x[python-programming-language] logo}
== Python
{c}
{disambiguate=programming-language}
logos-i-like.ciro
= Logos I like
\x[image-the-python-logo]
Now, when rendering
\x[image-the-python-logo]
, we would need to fetch two IDs:image-the-python-logo
for theThe
andlogo
partpython-programming-language
itself, to know that\x[python-programming-language]
should render asPython
But after group all SQL queries together was done, there was no way to know that rendering
image-the-python-logo
would imply also fetching python-programming-language
.This was solved by adding a new database entry type,
REFS_TABLE_X_TITLE_TITLE
to the existing References table, which tracks dependencies between IDs.After this was setup, we can now know that
image-the-python-logo
depends on image-the-python-logo
, and then fetch both of them together in a single JOIN.Suppose that a rod has is length measured on a rest frame (or maybe even better: two identical rulers were manufactured, and one is taken on a spaceship, a bit like the twin paradox).
Question: what is the length than an observer in frame moving relative to as speed observe the rod to be?
The key idea is that there are two events to consider in each frame, which we call 1 and 2:Note that what you visually observe on a photograph is a different measurement to the more precise/easy to calculate two event measurement. On a photograph, it seems you might not even see the contraction in some cases as mentioned at en.wikipedia.org/wiki/Terrell_rotation
- the left end of the rod is an observation event at a given position at a given time: and for or and for
- the right end of the rod is an observation event at a given position at a given time : and for or and for
Measuring a length means to measure the difference for a single point in time in your frame ().
So what we want to obtain is for any given time .
In summary, we have:
By plugging those values into the Lorentz transformation, we can eliminate , and conclude that for any , the length contraction relation holds:
The key question that needs intuitive clarification then is: but how can this be symmetric? How can both observers see each other's rulers shrink?
And the key answer is: because to the second observer, the measurements made by the first observer are not simultaneous. Notably, the two measurement events are obviously spacelike-separated events by looking at the light cone, and therefore can be measured even in different orders by different observers.
In this solution of the Schrödinger equation, by the uncertainty principle, position is completely unknown (the particle could be anywhere in space), and momentum (and therefore, energy) is perfectly known.
The plane wave function appears for example in the solution of the Schrödinger equation for a free one dimensional particle. This makes sense, because when solving with the time-independent Schrödinger equation, we do separation of variable on fixed energy levels explicitly, and the plane wave solutions are exactly fixed energy level ones.
Some less-trivial breakthroughs:
- finding 2013 DNS Census
- CGI comms characterization
- secure subdomain search on 2013 DNS Census let to a few hits
- 2013 DNS Census virtual host cleanup heuristic keyword searches was massive and led to many new ranges
Previously it was unclear if there were any .org hits, until we found the first one with clear comms: web.archive.org/web/20110624203548/http://awfaoi.org/hand.jar
Later on, two more clear ones were found with expired domain trackers:further settling their existence. Later on newimages.org also came to light.
- azerinews.org
- autism-news.org
Others that had been previously found in IP ranges but without clear comms:
- 65.61.127.177: material-science.org
- 212.4.17.61: tech-stop.org
Others in IP ranges by unarchived:
- 74.116.72.244 arborstribune.org
.org is very rare, and has been excluded from some of our search heuristics. That was a shame, but likely not much was missed.
AMO is a slightly more general area than condensed matter physics, including related phenomena with smaller numbers atoms and optics. The two terms are however sometimes used as synonyms. The term AMO has gained wide usage and acceptability, see e.g.:
If Ciro had had greater foresight, this might have been what he studied at university!
There are unlisted articles, also show them or only show them.