wbolt

6 ms·

1.
by wbolt 1mo ago
Fantastic news! … for AI companies. These projects will continuously produce high quality, novel training data for free! Amazing deal.
2.
by wbolt 2mo ago
I guess AI companies are actually super happy with major open source projects having such policies. It guarantees that their source code repositories will remain amazing assets for the training dataset construction. Open source projects don
3.
by wbolt 3mo ago
This is a nice project but looks like is either AI written or AI assisted and I haven’t seen mention of that in any of the docs.
4.
by wbolt 4mo ago
AI coding agents can do that pretty nicely already and it will only (slowly) improve over time.
5.
by wbolt 4mo ago
This is so crazy. Companies benefit from OSS so they need to pay? Come on. Companies benefit from OSS because the core idea of most of these licenses is exactly this - everyone can benefit even without contributing back. Don’t like it? Thin
6.
by wbolt 7mo ago
Are there any „real world users” of this? During all my years in academia I haven’t met any. Most just use plain LaTeX. Some do MS Word. Rarely something else. Never Texmacs. This is my experience at least. With stuff like Overleaf and plug
7.
by wbolt 7mo ago
No. It is actually λProlog which seems to be an extension of Prolog.
8.
by wbolt 10mo ago
At this moment there are 8 security issues open on GitHub (2 of them marked as High) and more than 190 issues in general. So it does look like a work-in-progress thing to me. The application seems very cute and handy and it still might be v
9.
by wbolt 11mo ago
Actually most of CA simulations are done on torus which is referred to as periodic boundary conditions in the literature. Alternatively you can also have null (or fixed) boundaries or reflective ones. If the initial configuration has compac
10.
by wbolt 11mo ago
This is interesting and may reveal additional properties of certain class of CAs. Yet, as some comments already stated what you do is basically study a subclass of multi-state 2D CAs where specific states from the finite state set have a sp
11.
by wbolt 11mo ago
Repl I get it. Possibly valid point. Yet I guess same issue are valid to node.js which seems much faster in many cases and still has valid dev experience. C compatibility / extension compatibility - nope. First, it is an issue of limit
12.
by wbolt 11mo ago
Yes it is.
13.
by wbolt 11mo ago
But this is exactly my point. The resources pypy has are much smaller. And still for years they managed to follow up being just 2-3 versions behind with features and high on performance. So why not move all the resources from CPython to clo
14.
by wbolt 11mo ago
More than 300 comments here and still no convincing answer. Why the community wastes time on trying to make CPython faster when there is pypy which is already much faster? I understand pypy lacks libraries and feature parity with up to date
15.
by wbolt 1y ago
None
16.
by wbolt 1y ago
Exactly! The way in which the LLM is used here is very, very basic and outdated. This experiment should be redone in a proper „agentic” setup where there is a feedback loop between the model and the runtime plus access to documentation &#x2
17.
by wbolt 2y ago
https://dl.acm.org/doi/10.1145/3700594