Ono-Sendai
Ono-Sendai on Hacker News
I think in the case where they don't annihilate they will just scatter off each other.
What was the problem with TLS you ran into?
That's a very deep question. In some sense no, in some sense yes.
I would say on the deepest level, no, they are not blocked.
Hi, fair enough. I've thoroughly immersed myself in this stuff enough that I sometimes don't realise people aren't as familiar with the concepts and jargon. I'm going to write another article that I think should help about the Klein gordon equation, at some point.
See my last article here https://forwardscattering.org/page/Intuitive%20Quantum%20Ele...
Although it is a bit technical. next one will start simpler.
Are you saying my statement is very abstract? or down to earth?
energy = frequency of angular rotation in the complex plane of a wavefunction.
ok? well, textbooks can be wrong or misguided.
Nah, special relativity is a consequence of magnetism.
Kolomogorov complexity as an objective measure of the information contained in a string just doesn't work. It depends entirely on the language used for the program, and for any string, in some language, the complexity is zero.
See https://forwardscattering.org/page/Kolmogorov%20complexity
And no, the invariance theorem doesn't save you.
Posted by
Ono-Sendai on Sunday July 05, 2026 @05:00AM
from the forwardscattering.org dept.
Wonderful stuff, good job Midjourney.
An AI can be trained on body scans to detect diseases, tumours etc. Ideally this can be trained on real scans with real diseases but you could also train on synthetic data (synthetic bodies and/or synthetic diseases).
You can also focus ultrasonic waves to destroy (vaporise or cook) diseased tissue.
So now the algorithm is patent-free, and the vertex and fragment shaders are open-sourced with the MIT license, what we presumably need is some open-source code to take Bezier curves from a font file (or from the loaded data from FreeType or whatever), and process them into the data format that Slug expects.
Also thank you to Eric Lengyel, I have had my eye on Slug for a while and wished it was open-source.
I was going to ask if Slug can be used as a general vector renderer. Or does it assume limits on e.g. number of curves/paths per area that are typical of fonts?
For simple models (constant incoming radiance), you can indeed just add the optical depths from the different fog 'layers'. (90% sure but the maths is easy to check anyway, see
https://forwardscattering.org/post/72)
Use a multithreaded blocking approach. Much nicer than async.
I haven't thought about it deeply. But I guess it's about allowing the model to easily distinguish the prompt from the conversation. Models seem to get confused with escaping, which is fair enough, escaping is very confusing.
It's true that for the transformer architecture the prompt and conversation are in the same stream.
However you could do something like activate a special input neuron only for prompt input.
Or have the prompt a fixed size (e.g. a fixed prefix size).
And then do a bunch of adversarial training to punish the model when it confuses the prompt and conversation :)
They could be if models were trained properly, with more carefully delineated prompts.
"look, I'm sorry, but the rule is simple:
if you made something 2x faster, you might have done something smart
if you made something 100x faster, you definitely just stopped doing something stupid"
https://x.com/rygorous/status/1271296834439282690
I use webassembly for Substrata (
https://substrata.info/).
It works pretty well, allows building a c++ app using OpenGL for the web.
Posted by
Ono-Sendai on Monday December 22, 2025 @08:29AM
from the randomascii.wordpress.com dept.
When you have done enough C++ you don't need to fire up compiler explorer, you just use local variables to avoid aliasing pessimisations.
I also wrote about this a while ago: https://forwardscattering.org/post/51
I find this distasteful:
cities = %w[ London
Oslo
Paris
Amsterdam
Berlin ]
Do it properly with quotes you lazy people :)
EDIT: typical ruby (on rails) code: saves a few characters, breaks readily (Hint: consider "New Orleans")