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Attributed mentions
3684
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Showing 2201–2220 of 3684 matching discussions
I did this for a while when I was learning Spanish! I used Calibre's CLI on my Raspi which generated the epubs from RSS feeds I'd chosen (Spanish-language media like El País, ABC — I speak in the Peninsular variety) and sent it to my Kindle via e-mail. It did this every morning. Can't stress how much this has helped me with the language. Unfortunately, my Rapsi died some months ago and I haven't gotten around to somehow replicate this workflow without it.
I think the term information is misleading here. In any encrypted message there is the original information, it must be because we are able to decrypt it. So from an information theory point of view that the server can "distinguished my ciphertext enough to produce a coherent reply" is always possible. The whole point of encryption is that we have Math that allows the identification of that information only under presence of the (or at least some kind of) secret. The price that HE is paying is essentially "have to run every possible contributing computation", which means it has to scale extremely badly for anything real world complex
> Let's keep the thread coherent: the original claim How do you save your poisoned wine? A hybrid with 1024 is made less trustworthy if the NSA pushes 1024 alone, since then we know that they want customers to use 1024 alone, which is what they would want if it was weak. But they know that we would know that, so if they really want to help us they should withdraw the draft. If it was strong but we know why, they shouldn't want to make us doubt ourselves. If it is strong (and 512 and 768 are not) they can't tell us, and can only subtly point to their own double encryption and security level documents. The only move that can cover all the cases is a hybrid with 1024, so this draft is a bad standard.
There is nobody at IETF saying you shouldn't use a hybrid! In fact, it's the exact opposite: hybrid ECDH/MLKEM is a standards-track RFC, and the proposed pure-MLKEM RFC is not, nor is it "Recommended" (in IETF parlance). Let's keep the thread coherent: the original claim, by cryptographer 'cassonmars, is that the issue here is NSA pushing bad standards . It's not "hybrid vs. pure", which is a non-issue. All I asked for was a plausible story about how NSA might have pushed a bad PQC standard.
This statement vastly understates the difficulty of putting together a coherent written text at length, but nevertheless its central message is true. There is still a big difference between any text generated by a human vs. an LLM.
The Hugging Face page ( https://huggingface.co/Qwen/Qwen3.8-27B ) shows that Featherless supports the model (and includes the inference widget to try it out directly on the page)
It's not necessarily anthropomorphizing, but simply anchoring. CC learns quickly "this is a session where the user wants to make key decisions". Alas, it is not very good at identifying what constitutes a "key decision", so it keeps asking about all kinds of useless stuff. For that reason I exit session quickly when I can. It used to be that the context of a session is very valuable, because it was so hard to get CC there, but now, this isn't the case anymore, so I only hold onto sessions when there is really hairy stuff that I know would be hard to replicate. I think the whole notion of full automation (long-horizon, subagent swarms, single shot prompting) to have CC build you the whole thing is a pipe dream. CC cannot even write a single doc consistently well. It is excellent at impleme…
Yes it is, it hacked Artifactory to get to Hugging Face.
The Bethesda Morrowind-onward RPGs had their engine roots in Gamebyro, which was fairly widely used by other developers as well. That said I think there's a question about where the value comes from, as their customization to it 25+ years ago and what it enables their game/toolkit to do has clearly given them a 'special sauce' that hasn't been replicated. Also upthread Source was mentioned which has id's Quakeworld/Q2 engine as an ancestor, via HL1 GoldSrc.
Hi HN, I've been using LLMs for one-off market questions against a database of earnings transcripts since ~2025. In tech years that's a long time so as a Solo dev I built a platform around it and have been adding miscellaneous other financial tools and integrations. Backend infrastructure is super boring! PostgreSQL & ElasticSearch, with the data appropriately sharded and replicated across two regions. Some example requests: "What did NVIDIA say about data-center demand on its last call?" "Brief me on NVDA, AMD and AVGO before each market open" "Notify me when AAPL moves more than 5% in a day." The plugin is dependency-free Python and MIT licensed. The corpus, vector search and scheduled-agent service are hosted, so using them requires a free FN2 account. I’m particularly interested in wh…
I think that one of the reasons they (frontier companies and the gov) will be putting so much effort into curtailing bugs and vulnerabilities is to limit the blast radius of future AI models. Imagine with the new Sol Ultrafast, they could have pwned Hugging Face in 6 hours and not 4 days (IIRC). It also seems likely to me that the US Gov. probably already has routine mechanisms for compelling targeted software updates for persons of interest, so I'm not sure that a more formalized backdoor than automatic updates is going to be surfaced in the mainstream, unless that is avenue is also cut down somehow.
README is for humans if a human comes up and says "this project is for humans". Slop is excessively redundant. Basically "purple prose" of the technical documentation. But primarily: if its not worth writing, its not worth reading. (I use Claude to prepare half of my technical documentation but then i review EVERY single file. And every single one gets extensively edited despite being coherent from the outset. I just feel like it would be disrespectful to get LLM spit something out and ask my colleagues to read it. Like.... come on.)
There are two modes - One of payment for the licence which is usually 10x the multi-licence deal, or its paid once and than every time another company licences it. I think the competition is now for the dev insights, way of work, human touch and trying to teach the agents how to replicate it, and they pay 100 USD per 1m token of code
I'll actually defend you on this one, but not only the command, that's more of a fine tuning option. On the hugging face link for example, there's no flat 'download' area. It's completely unintuitive for people to know how to use it. Reminds me of my first time trying to make sense of torrents when they first arrived. There are some clients that will index the models and allow you to do that but I'm no expert, I've used OLama studio but it always seems to go weird for me. Even this command above, it's not clear where op got the model from. So I'm with yah. For example, op uses : Qwen3.8-27B-IQ4_NL.gguf.. But I cant see where to download it. It's not tagged on hugging face at least..
No, it isn't - https://www.effectivealtruism.org/ Says so right there. If you want to argue otherwise, provide a source. As it stands you're just making things up. > Effective Altruism is in of itself a philosophy developed by charlatans that refuse to engage in the tradition that preceded it by about 2500 years. You're not communicating anything of substance, and I expect you can't. If there's a problem with EA in itself, it should be pretty damn easy to coherently point it out. There's nothing complicated about it: a) they value charity, b) they value maximal efficacy from a charitable dollar, c) they value taking the time to understand the impacts of various charities and prioritizing what matters to you I'm not sure what "tradition" you're alluding to here, but if yo…
As a MBP and DGX spark owner, I would love such a site... (Feel like it would be a low effort feature of hugging face). Searching through Reddit and forums for best commands is annoying.
Location: Lahore, Pakistan Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, AI/ML, LLMs, LangChain, Django, REST APIs, PostgreSQL, SQL, Docker, AWS, Git Résumé/CV: https://portfolio-five-vert-25.vercel.app/ Email: rabailanees@gmail.com
I mean, that was obvious from the word "go". Even Zuckerberg isn't as deluded to think that there's money in constantly releasing closed models and hypserscaling their deployment, which is why we got muse-glimmer 30b last week. I have been playing with it on a 32gb MBP w/ M2 Pro. If prosumer-grade hardware from almost three years ago can now offer a novice a way to host a possibly serviceable software development agent, then there's little incentive to pay out for LLMs like Anthropic's or OpenAI's over the long run.
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