As others mention, show the keys in the interface. It took me a while to discover accidentally, by pressing space, that I can trim the sails. You could make a graphical guide, showing a ship with arrows around, some arrows attached to the hull with keys responsible for turning the ship, some arrows attached to sails with keys responsible for trimming them. Yet another key by the cannons fire to show which key... umm... fires the cannons...
I'm slowly trying to build an app on Iroh; it's progressing tiny bit by tiny bit, but I must admit I'm struggling a lot all the time, both with various low-level details, as well as with understanding many high-level aspects, concepts, and approaches. Oftentimes I have to resort to some LLM-generated "wiki" websites to help me progress. I really hope you'll manage one day to allocate some more resources to improve the docs. That said, when I manage to muster enough strength, I do manage to grind some progress, and also it's good to know the underlying tech seems robust, given how many real-world solutions you've built on it!
At this moment, if I can try to ask one question: AFAIU Iroh emerged from an attempt at fixing IPFS. I also understand you've since focused more on providing the lower-level building blocks that would allow this and other solutions. Understanding some basics, but still having hard time to get a really solid grasp of the whole of Iroh, I wonder: between Iroh, p2panda, and Willow, what's available and what's missing / needs to be added if one wanted to try and build an "IPFS-like" with those technologies? I'm especially interested in an idea of a "new web" that would defuse DDoS of static websites in a Torrent-like way, forcing the downloading peers to also share their upstream bandwidth while doing this. I'm also thinking of e.g. a "globally-distributed Internet Archive", where I can easily download part of the Archive to my computer, and this automatically improves its availability on such "new web" for subsequent downloaders and browsers. Would you care to give a newbie something of a high-level overview of how one could try to do it over maybe some appropriate combination of Iroh+p2panda+Willow+DHT?
"due to their inherent stochastic nature, there would still be a small likelihood of producing output that contains errors"
This is the part that I find challenging when trying to help my friends build a correct intuition. Notably, the probabilistic behavior here is counter-intuitive: based on human experience, if you meet a random person, they may indeed tell you bullshit; but once you successfully fact-checked them a few times, you can start trusting they'll generally keep being trustworthy. It's not so with "AIs", and I find it challenging to give them a real-world example of a situation that would be a better analogy for "AI" problems.
In my family, what worked (due to their personal experiences), was an example of asking a tourist guide: that even if the guide doesn't know an answer, there's a high chance they'll invent something on the spot, and it'll be very plausible and convincing, and they'll never know. I'm not sure if that example would work for other listeners, though.
I also tried to ask them to imagine that they're asking each subsequent question not to the same person as before, but every time to a new random person taken from the street / a church / a queue in a shop / whatever crowded place. I thought this is a really cool and technically accurate example, but sadly it seemed to get blank stares from them. (Hm, now I think I could have tried asking why.)
Yet another example I tried, was to imagine a country where it's dishonorable, when asked about directions in a city, to say that you don't know how to get somewhere. (I remember we read and shared a laugh at such an anecdote in some book in the past.) Thus, again, you'll always get an answer, and it'll sound convincing, even if the answerer doesn't know. But again, this one didn't seem to work as good as the travel guide one; but for now I'm still keeping it to try with others in the future if needed.
PS. Ah, ok, yet another I tried was to ask them to think of the "game" of "russian roulette". You roll the barrel, you press the trigger, nothing happens. After a few lucky tries, you may get a dangerous, false feeling of safety. But then suddenly you will eventually get the full chamber.
I also tried to describe "AIs" (i.e. LLMs) as taking a shelf of books, passing them through a blender, then putting the shreds in some random order. The result may sound plausible, and even scientific (e.g. if you got medical books, or physics textbooks). The less you know the domain the books were about, the more convincing it may sound, and the harder it is to catch bullshit.
The last two pictures may have gotten some reception, but I'm not super sure, and there was still arguing especially around the books; and again, they were less of a hit than the tourist guide story.
I'm super curious if you have some analogies of your own that you're trying to use with friends and family? I'd love to steal some and see if they might work with my friends!
AFAIU, their claim is that Mythos is in reality used in a framework that builds such contextual hints, and that their (Aisle's) own framework does the same:
"(...) a well-designed scaffold naturally produces this kind of scoped context through its targeting and iterative prompting stages, which is exactly what both AISLE's and Anthropic's systems do."
In the classic FLOSS tradition, it would be cool if you might still consider publishing such a "not-ready" repository - some people may (or may not!) be still interested, and also (sorry!) there's the bus factor... But on the other hand, in the classic FLOSS tradition, it's also 100% your decision and you have the full right to do any way you like!
I'm trying to disable "thinking", but it doesn't seem to work (in llama.cpp). The usual `--reasoning-budget 0` doesn't seem to change it, nor `--chat-template-kwargs '{"enable_thinking":false}'` (both with `--jinja`). Am I missing something?
EDIT: Ok, looks like there's yet another new flag for that in llama.cpp, and this one seems to work in this case: `--reasoning off`.
FWIW, I'm doing some initial tries of unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q4_K_XL, and for writing some Nix, I'm VERY impressed - seems significantly better than qwen3.5-35b-a3b for me for now. Example commandline on a Macbook Air M4 32gb RAM:
llama-cli -hf unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q4_K_XL -t 1.0 --top-p 0.95 --top-k 64 -fa on --no-mmproj --reasoning-budget 0 -c 32768 --jinja --reasoning off
In the same boat here - I played it for a while, but was (and am) sincerely super confused what people find so amazing in it. I mean, it's an ok game, and I get that some people may like it, why not; but the repeated claims of it being the best of all time, to me totally baffling. Already the respawning of the critters, and the grind to get some coins to get such a basic game feature as a map, two early aspects that I definitely don't like, and personally find somewhat disrespectful to my time.
Hm, how does this answer relate to the answer you gave to this comment: https://news.ycombinator.com/item?id=44381084 ? where, as far as I understand, you say it's possible to swap out quic for something else? asking sincerely, I'm confused here.
I had some light contact with Prolog long ago during my studies - I have a rough idea how it is used and what it can be useful for, but only on surface, not deep at all. I keep hearing about Datalog since, as some amazing thing, but I don't seem able to understand what it is - i.e. to grasp an answer to a simple question:
what is that Datalog improves over Prolog?
Just now I tried to skim the Wikipedia page of Datalog; the vague theory I'm getting from it, is that maybe Prolog has relatively poor performance, whereas Datalog dramatically improves performance (presumably allowing much bigger datasets and much more parallelized processing), at the cost of reducing expressiveness and features in some other important ways? (including making it no longer Turing-complete?) Is that what it's about, or am I completely missing the mark?
By the way, I just wanted to also say I love big chunks of this whole comments section; so much pure positivity and human beauty in one place, so soothing, uplifting, and inspiring to me. Thanks hereby to everyone sharing around here how they're consciously recognizing and acting in various amazing ways on the good they received.
There's also a kind of super-cheap Bluetooth "Chinese" thermal receipt printers, also known as "kitty printer" or "cat printer". There's plenty of reverse-engineered software for printing to them in a number of languages; one I use is: https://print.unseen-site.fun/ The disadvantage is they don't cut automatically, and their "cutter teeth" are super crappy. But cheap!