Not OP, but I'd start with a one-click way to "install" the PWA apps using an API, e.g. with a banner (like on Android) instead of an item in the share menu.
43 karma · joined November 14, 2016
With some language-independent tests in such a repository, you might be able to semi-automatically convert the code into different languages, and continue with code scanning and optimizations.
Anyway: very nice work!
This makes me think that to get high quality summaries: 1) they have to be generated for each individual reader 2) the AI should know what the reader knows
You achieved 2 by imagining what HN people may already know, but the ultimate goal would be to know what the individual reader knows.
And this chain of thought leads to - Perhaps all AI output should be generated on the fly for the end user with full (relevant and compressed) context. - Giving AI what we know is extremely dangerous if someone wants to use it for something bad (so we really, really need local AI).
Sure, these are all things people in the industry already know, but there must be a lot of people like me who are just now thinking about it.
A note: "^2" added humor to make the reading light with very few bytes. Perhaps the machine would do this too, if the reader wants.
Only few things make me very very excited and sometimes very very sad like some AI developments. But the exciting part wins for now!
Another great feature that Bear and FSNotes share is the ability to insert hierarchy tags like #parent/child For some reason, I find it perfect to organize notes without too much thinking.
The great things about Logseq are his weakness for me. Everything is so interconnected (you can say: "here put the paragraph of this other note") that I sometimes lose confidence in the system. It becomes too complex. With Obsidian I know that a note is a file. Less convenient but simple and reliable.
Logseq really excels with his outlining mode, I miss it (but I don't like the way it saves states in the markdown file). It has some problems with the code blocks too.
But FSNotes is for the Apple ecosystem only and I can't tie myself to a single platform for something so important (I don't need another artificial reason to make OS switching so difficult).
I hope the textbundle feature request[3] gets some love soon. It would be great for Excalidraw files integration too[4].
[1] https://fsnot.es/ [2] http://textbundle.org/ [3] https://forum.obsidian.md/t/textbundle-support/3585 [4] https://github.com/zsviczian/obsidian-excalidraw-plugin
Obsidian is less opinionated on the txt file format and folders too, so I consider it more future-proof.
There is Twitter too https://twitter.com/UnshushProject
I started with a lot of enthusiasm but discovered you need to be A LOT more social (or lucky) to make people see things!
Next time maybe with some code and a Show HN it will be more fun.
(I know… but let me think it, guys)
If you make the generations with some similarities and use the right interpolation, you don't need 1000 images like my video and can obtain a smooth movement.
First, generate images with some kind of visual anchor (background, an object). You can use frames generated using the previous frame as reference image, or the same seed but different prompt/parameters, or you can go wild using img2img/inpainting (btw I struggle to find an inpainting tool for Stable Diffusion: they seem to be just img2img with a mask, without contest).
Then pass the generated images to one of the most recent interpolation algorithms, like this one https://github.com/megvii-research/ECCV2022-RIFE or the one used in the replicate we are commenting on (someone posted this reference: https://github.com/google-research/frame-interpolation )
The first link reports some free and paid implementation and a Colab, so depending on how deep you want to go, you have a lot of choices.
In the end, I'd use some good app to stabilize the image if needed, to get a more "calm" look. I use Luma Fusion, but it's a paid app (cheap, one-time payment, for iOS). I'm sure there are a ton of open-source implementations.
It's an approach similar to the animation on replicate, but it allows a lot of fine-tuning and you can add new animation ideas/tools to the process.
Nothing revolutionary, but I hope it helps!
> You have generated some pretty cool designs.
Thanks! I put in a lot of work in the last weeks. The project has a mission, I wrote something, but it's not ready yet. I believe it will be with the launch of Dall-E 8 :-/
If you are interested in my project (I doubt, you are too busy playing like me) I'm posting a lot of things on https://unshush.com and on the Instagram account: https://www.instagram.com/unshushproject/ (Sorry for posting my stuff but I'm not very social so no one will ever see them)
If you want to generate videos I can share some links I bookmarked of software/code to make them more smooth.
[1] Deforum's Colab (based on Stable Diffusion): https://colab.research.google.com/github/deforum/stable-diff...
It's a bit risky to invest too much time because every generator is different and they change the underlying model frequently (see the beta of MidJourney yesterday), but if you do it for passion or curiosity there is no problem.
Now I'm experimenting with a local installation of Stable Diffusion (well, not really "local" because I have an old computer) and the prompt is only one of the things you can tweak. There are num_inference_steps, guidance_scale and other parameters.
Yesterday here on HN: https://news.ycombinator.com/item?id=30617628
They are magnetic, start the countdown at the given time (like 25 min and they remember it), the beeper is very soft and you can't procrastinate exploring hundreds of features.