Amusingly, I made the same thing late last year, though just on an ordinary computer, allowing you to draw in the browser. I used pageflip [0] with styling akin to Riddle's actual diary and a tiny local model crafted for roleplay via ollama. I remember writing "my name is Harry Potter, what is yours?" and getting back Snape, Malfoy, and even Harry Potter back across a number of iterations. After completing my experiment I learned I wasn't the first to think of this idea and found a few other similar AI Riddle diaries out there.
Incidentally, I have a Remarkable 2 and as of this weekend an m4 iPad air. Maybe I'll test this one out and see what the landscape for running models on iOS looks like.
I think attributing it to luck is a bit uncharitable. They described getting in on talent over credential. I also don't hold a degree. I've worked with a handful of Ivy League interns over the years and none of them blew me away. Certainly none were at the level I was at when I interviewed without a degree. I think I'm _fortunate_ to have gotten into the work without a degree, but it wasn't _luck_, it was ability.
it certainly has the tells... I could be charitable and say maybe since it's a bilingual blog it was generated as a type of translation from the original source, but that post itself seems only available in English
I feel it would be remiss of me not to mention the humble TempleOS support for mixing code and sprites. I can't say I've ever used the system myself, but its DolDoc format [0] offered some pretty nifty features for directly interspersing sprites into source code viewable together as one. You can see some screenshots on the hackmag page [1] under the section that reads: "If that’s not enough to impress you, open any game file and behold the unthinkable: the sprites are embedded right in the code!"
This was posted on hackaday[0] last week with a link to a youtube video. In the video, the author of the project goes into depth about some of the challenges they encountered and changes they made in good technical detail.
I think the complaints in this thread are not in the spirit of HN. Let's do better.
The approach I've been trying to use at work is making heavy use of AI for the generation of experimental prototypes, but with little intention of keeping all that code verbatim. I can get something to the demo stage much more quickly than before, allowing me to show it to coworkers and users to get feedback on random possibilities. From there, I make a case to properly delegate time for "doing it the right way" as a slotted piece of work. That's resulted in a number of high-impact features being added to our app in the last few months, that in the past would have taken much longer or never came to fruition.
I'm using this specifically in the context of concepts/features that are hard to explain/sell without some working visual or prototype, but which aren't immediately evident needs or features requested by our users. Some of them go nowhere, but I think the net result is an increased ability for me to get my experiments from the "lab" to production.
Don't you think that's backwards from how utility usually works? Most effective solutions come from attempting to solve a known problem, not by searching for problems to apply an available solution. Even thinking outside the box is usually in service of a particular problem - just applying creative or unorthodox solutions to that problem.
fwiw, the opposite view was recently taken for node js. GH hides most of the conversation by default due to size, but the gist is that a new VFS feature is being proposed for node that was largely written using an LLM. I think I've more often seen the view these days that if you used, steered, and likely modified code generated by an AI, you generated the code and hold the copyright.
this is interesting because of how much it differs from my own hopes. I don't really have any personal need or want for the Linux desktop marketshare to increase. I like computers because I can program them to do something and it will do it. Ideally you have complete control over it. I've customized my desktop here and there in order to get some result, but while you care most about the _result_, for me the act of _making_ that result happen is as important if not more. I'm not looking to offload it to something else.
I don't really see the troubleshooting/customization as annoying. It's not much different than learning to program. At first you don't have any intuition for patterns or ways to solve problems, but given time, you start to identify them and know how to work on it unaided. For many distros or operating systems more broadly, it's the same thing. When in doubt, I head to the Arch wiki or more rarely the forums, then I'm good to go.
I'm not really after some integrated LLM or Copilot 365 for Linux experience when it comes to using my computer.
I don't think the evidence is on your side for the outcomes. Kids cannot be assured to make the best choices in their own interest for every scenario. I was on meds for ADHD from ages 4 to 14 before I asked to stop. In elementary school I was among the most talented students in my class, but I was very close to failing to graduate high school. I later failed out of community college. Through great effort I managed to get employed as a software developer, though my original passion and hope was biology. I now take Vyvanse to keep sustained focus in my work.
I'm confident if I had stayed on my meds that I would have been far more academically successful in high school and beyond. I pushed to get off Adderall as a kid because I started to feel like a zombie on it, but maybe my parents could have instead helped me to find a treatment that was better suited for me or adjust my dosage.
I've played Senet regularly for over 15 years. I was working over the holidays on a GNOME Senet game which I hope to put out there soon. I think it strikes a fun balance between chance and strategy. It probably won't appease chess die-hards on the complexity front, but for casual gameplay it's nice.
I think many people who grew up before cell phones remember phone numbers from the past. I just thought about it and can list the phone numbers of 3 houses that were on my childhood street in the early 2000s + another 5 that were friends in the area. I remember at least a handful of cell phone numbers from the mid to late 2000s as friends started to get those; some of them are still current. On the other hand, I don't know the number of anyone I've met in the last 15 years besides my wife, and haven't tried to.
Classical Chinese had a much larger phonemic inventory than modern Mandarin, and notably no tones. Below are a collection of Classical Chinese reconstructions in IPA that are all pronounced yì in Mandarin today. (like "ee" for English speakers). The creation of tones and other sound changes were fairly predictable, so as you say, the hints often still help today.
Incidentally, the largest group of Chinese characters are phono-semantic e.g. encode both meaning and pronunciation. Over half of all Chinese characters are in that bucket. That actually allows speakers to have some ability to guess both pronunciation and meaning of characters they have never seen. There are rules to guide this.[0]
My personal blog that until recently was mostly reviews on lox bagels. I yanked out the bagel reviews for now to focus on programming topics, but need to write up some worthwhile posts.
I sometimes have this argument with my Product Owner, despite believing we both want what we individually believe is best for our users. I've tried to suggest that the ideal interface for a power user is not the ideal interface for a novice, and that none of our users should be novices for long as an expectation.
I work on an internal app for an insurance company that allows viewing and editing insurance product configuration data. Stuff like what coverages we offer, what limits and deductibles apply to those, etc. We have built out a very very detailed data model to spell out the insurance contract fully. It has over 20 distinct top-level components comprising an "insurance product". The data generated is then used to populate quoting apps with applicable selections, tie claims to coverage selections, and more.
Ultimately these individual components have a JSON representation, and the "power user" editor within our app is just a guided JSON editor providing intellisense and validation. For less technical users, we have a "visual editor" that is almost fully generated from our schema. I thought perhaps this article referred to something like that. Since our initial release, a handful of new top-level components have been added to the schema to further define the insurance product details. For the most part, these have not required any additionally coding to have a good experience in our "visual editor". The components for our visual editor are more aligned to data types: displaying numbers, enums, arrays, arrays of arrays, etc, which any new schema objects are likely to be built from. That also applies to nested objects i.e. limits are built from primitives, coverages are built from limits. Given user feedback we can make minor changes to the display, but it's been very convenient for us to have it dynamically rendered based of the schema itself.
The schema is also versioned and our approach ensures that the data can be viewed and edited regardless of schema version. When a user checks out a coverage to edit it, the associated schema version is retrieved, the subschema for coverages is retrieved, and a schema parser maps properties of the schema to the appropriate React editor components.
p.s. These patterns might be commonplace and I'm just ignorant to it. I'm a backend dev who joined a new team that was advertised as a backend gig, but quickly learned that the primary focus would be a React Typescript app, neither of which I had any professional experience with.
it's interesting how differently people perceive it. Motherfucker is something I'd have called a parent in a card game if they bested me, or an exclamation said aloud from dropping a wallet while walking. Very little significance to it.
Incidentally, I have a Remarkable 2 and as of this weekend an m4 iPad air. Maybe I'll test this one out and see what the landscape for running models on iOS looks like.
0) https://nodlik.github.io/react-pageflip/