orangeboats
IPv6-lacking hardware and software definitely do exist in the wild, have you seen how some programs from incompetent developers accept only IPv4 addresses in the config files? I think all of us have seen at least one such program.
Often times it's just a matter of using another function to parse the address string. But you are shit outta luck if the program is closed source.
- If you are managing the 4to6 mappings manually, it's obviously not going to be scalable. Just to give people an idea, websites nowadays can connect to 10+ IPs in a single page due to CDN load balancing and stuff.
- If you are handling the mappings automatically, such as by monitoring DNS queries and creating dynamic mappings based on that, the issues become more insidious: applications with hardcoded IP literals would fail without an obvious reason.
I, unfortunately, have been on CGNATed residential internet since 2016, though I used to still get a public IP on request (they stopped doing that though.) I live in South East Asia, for context.
Without IPv6 my only choice would have been relying on a centralized service like Zerotier and Tailscale.
How would an IPv4 client send a packet to an IPv6 server? The IPv4 packet has only 4 bytes to spare for the destination address.
You can't.
Anything longer, even if it's just 1 bit, would require a new IP version.
But if you are living in a Western country, then you are probably blessed with CGNAT-free residential internet.
It turns out when you ignore the hardest part of the problem, you can always make a good-looking proposal!
Fine, let's change the question.
Without counting, how many zeroes are there in 192.168.0.0.0.0.0.1?
How is this different from ::192.168.0.1? :)
And I am not sure why you are so worked up over it -- even meta-commentary wise, you have been shitting on everyone in this thread and your comments are in general very inflammatory. Stop that.
It's like declaring SSL/TLS dead in 2012 because some websites were not using it. (Yes, I remember the dark times when even authentication data was transmitted over plain text.)
Takes on Hacker News can truly be wild sometimes.
I certainly don't recall being able to use DP on a VGA monitor without some sort of adapter!
The page is triggering my AI alarm.
>DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
>It is built on an everything-is-a-plugin architecture and powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
https://github.com/deepseek-ai/deepseek-harness
Now, this could simply be an attempt at sarcasm but it's getting really hard to tell. There's a handful of people in this thread saying that DeepSeek Harness is closed source.
Frankly speaking, this is simply disrespectful.
Personally I have had multiple instances of me knowing the idea I want to express, but utterly failing to articulate it in a way that's understood by most people.
And I unfortunately do not have a human assistant, so for a second opinion on how to articulate the idea better, I turn to an LLM. (Yes, I am using my own idea!) I write something, ask the LLM whether it understood what I said, and make adjustments based on that. In this case, the text is 100% written by me, and the LLM is no more different than a random passer-by giving me advices.
But there are also times when the idea is so complicated that I don't really have a good idea on how to untangle all of that. Ideas that live in your brain as a bunch of abstract concepts, if you can get it. If I were to untangle all of that myself - it's fairly good chance that I'll just leave it for "another day" (read: abandoned). I won't be investing any more thinking into it, LLM or not.
So LLM it is. I dump my ideas (as a bunch of incomprehensible human gibberish ;P) into it, make it make sense of the ideas, generate an ideas-untangled paragraph, which I use as an inspiration (or basis, or template, or whichever word you think suits it) for writing my own text with my own voice and my own style. I was able to continue thinking because the LLM keeps my attention from drifting away!
(I always suspected I have some kinda ADHD, but shrug)
I understand where people are coming from when they reject all forms of LLM assistance in writing, it's just that I hope people don't turn it into a dogma of some sort.
If someone uses LLM to help wording their idea in a way that's easier to understand, I am fine with it as long as they don't copy-paste it verbatim into their blogpost.
I am getting a little ranty here, but the usual LLM-isms like "not this, but that" or "that's the real footnote here" simply add zero value to the text, and I can't imagine anyone who has proofread the LLM-generated text even once will opt to keep those sloppy paragraphs. If I see them, I can't help but to think that the author had oneshotted the text. And it strongly suggests to me that the author has put zero effort into their work.
From experience, the models often do have the knowledge of those topics (strictly talking about the political ones). IMO the refusal is likely to be a product of post-training, as evidenced by various people gaming the prompts just enough to get a proper response out of the vanilla models.
Probably only when you get to things like illicit drugs or NSFL topics, that things will go haywire with the refusals removed.
And also, for personal aesthetic reasons I hate that it limits the Unicode codepoint range to an awkward non-power-of-two number (now there are 0x110000 codepoints in total). UTF-8 and UTF-32's 2^31 feels much more natural.
Or do you believe that the Chinese (the people not the government) deserve to live a poor life forever?
As opposed to "ask the model about Tiananmen" which seems to be the site's favorite pastime about Chinese models. ;)
--
Sarcasm aside, I don't think people are happy about _Chinese_ models making advances. They are happy about _open_ models making advances. It's just coincidental that China is the one making them.
If some American lab were to develop a SOTA open model most people here will be equally excited. Although besides GPT-OSS-120B the American labs have been disappointing in this regard.
>In the AI industry, we borrowed the term “efficient frontier” from economists. We use it to talk about managing tradeoffs, most often the tradeoff between cost and capabilities for models. A model is a “frontier model” if it offers the highest degree of intelligence at a given cost or size.
For RISC-V the questions to ask are similar: Is this built for RVA20? Or RVA23? (The big feature of RVA23 is the Vector extension, again something that is programmer-visible)
Embedded RISC-V programmers will have to ask a lot more questions. But for most programmers the whole fragmentation thing is simply a giant meme repeated ad nauseam.
It is supposed to be a public infrastructure, folks!