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kibbi commented on Show HN: Server-rendered multiplayer games with Lua (no client code)   cleoselene.com/... · Posted by u/brunovcosta
kibbi · 2 months ago
Interesting approach! I've thought about a similar method after reading about the PLATO platform.

When playing astro‑maze, the delay is noticeable, and in a 2D action game such delays are especially apparent. Games that don’t rely on tight real‑time input might perform better. (I'm connecting from Europe, though.)

If you add support for drawing from images (such as spritesheets or tilesheets) in the future, and the client stores those images and sounds locally, the entire screen could be drawn from these assets, so no pixel data would need to be transferred, only commands like "draw tile 56 at position (x, y)."

(By the way, opening abstra.io in a German-language browser leads to https://www.abstra.io/deundefined which shows a 404 error.)

kibbi commented on Show HN: Server-rendered multiplayer games with Lua (no client code)   cleoselene.com/... · Posted by u/brunovcosta
brunovcosta · 2 months ago
Amazing! hahaha.. Tip: Arrows + Z (shoot)
kibbi · 2 months ago
In my case, Z for shooting works only rarely. Usually nothing happens. How does the game code query the key?
kibbi commented on OpenAI Audio Models   openai.fm/... · Posted by u/IndignantTyrant
wingworks · a year ago
Did you try Kokoro? You can self host that. https://huggingface.co/spaces/hexgrad/Kokoro-TTS
kibbi · a year ago
Thanks! But I get the impression that with Kokoro, a strong CPU still requires about two seconds to generate one sentence, which is too much of a delay for a TTS voice in an AAC app.

I'd rather accept a little compromise regarding the voice and intonation quality, as long as the TTS system doesn't frequently garble words. The AAC app is used on tablet PCs running from battery, so the lower the CPU usage and energy draw, the better.

kibbi commented on OpenAI Audio Models   openai.fm/... · Posted by u/IndignantTyrant
dharmab · a year ago
I use Piper for one of my apps. It runs on CPU and doesn't require a GPU. It will run well on a raspberry pi. I found a couple of permissively licensed voices that could handle technical terms without garbling them.

However, it is unmaintained and the Apple Silicon build is broken.

My app also uses whisper.cpp. It runs in real time on Apple Sillicon or on modern fast CPUs like AMD's gaming CPUs.

kibbi · a year ago
I had already suspected that I hadn't found all the possibilities regarding Tortoise TTS, Coqui, Piper, etc. It is sometimes difficult to determine how good a TTS framework really is.

Do you possibly have links to the voices you found?

kibbi commented on OpenAI Audio Models   openai.fm/... · Posted by u/IndignantTyrant
5kg · a year ago
May I introduce to you

https://huggingface.co/canopylabs/orpheus-3b-0.1-ft

(no affiliation)

it's English only afaics.

kibbi · a year ago
The sample sounds impressive, but based on their claim -- 'Streaming inference is faster than playback even on an A100 40GB for the 3 billion parameter model' -- I don't think this could run on a standard laptop.
kibbi commented on OpenAI Audio Models   openai.fm/... · Posted by u/IndignantTyrant
ZeroTalent · a year ago
Look into https://superwhisper.com and their local models. Pretty decent.
kibbi · a year ago
Thank you, but they say "Offline models only run really well on Apple Silicon macs."
kibbi commented on OpenAI Audio Models   openai.fm/... · Posted by u/IndignantTyrant
kibbi · a year ago
Large text-to-speech and speech-to-text models have been greatly improving recently.

But I wish there were an offline, on-device, multilingual text-to-speech solution with good voices for a standard PC — one that doesn't require a GPU, tons of RAM, or max out the CPU.

In my research, I didn't find anything that fits the bill. People often mention Tortoise TTS, but I think it garbles words too often. The only plug-in solution for desktop apps I know of is the commercial and rather pricey Acapela SDK.

I hope someone can shrink those new neural network–based models to run efficiently on a typical computer. Ideally, it should run at under 50% CPU load on an average Windows laptop that’s several years old, and start speaking almost immediately (less than 400ms delay).

The same goes for speech-to-text. Whisper.cpp is fine, but last time I looked, it wasn't able to transcribe audio at real-time speed on a standard laptop.

I'd pay for something like this as long as it's less expensive than Acapela.

(My use case is an AAC app.)

kibbi commented on Apple's Software Quality Crisis   eliseomartelli.it/blog/20... · Posted by u/ajdude
rafram · a year ago
Title should be something like “Apple Pencil Pro causes iPad to overheat and slow down”. This sounds really annoying, but the overly broad title is just clickbait.
kibbi · a year ago
In my experience, this bug - lags and overheating when drawing with the Apple Pencil - exists since iPadOS 16. When searching for it on the web, I found lots of reports and no indication that it is solved, including by hardware replacements.

In any case, HN's guidelines ask to use the original title of an article, unless it is misleading or linkbait. I'd agree that Apple's software quality has been going down.

kibbi commented on macOS Tips and Tricks (2022)   saurabhs.org/macos-tips... · Posted by u/pavel_lishin
countrymile · a year ago
How do I right click and add a blank text file to a folder?
kibbi · a year ago
I've used Apple's Automator app to add a new custom Quick Action which does exactly this. After right-clicking a folder, the right-click menu shows my custom Quick Action to create an empty text file.

This requires about 5 to 10 minutes to set up. You'll find instructions for this on the web or via some LLM. I've looked right now for a suitable article, but the ones I've found are subtly different from my Quick Action. I've asked ChatGPT and its instructions seem to be correct.

kibbi commented on When ChatGPT summarises, it does nothing of the kind   ea.rna.nl/2024/05/27/when... · Posted by u/josephcsible
the_other · 2 years ago
You write as if you’ve found a hole in the article’s argument. The lack of evidence is a hole in the reporting, for sure. The tone of your comment suggests you feel that by not publishing all their evidence, the author’s point is wrong (rather than under-justified). However, the example you use to back up your point also backs up the article’s point. The article’s point is that ChatGPT doesn’t summarise, it only shortens. Your example indicates shortening, but not summarising.
kibbi · 2 years ago
In the example I mentioned, ChatGPT 4 did keep all essential statements of my texts when reproducing shorter versions of them. For example, it often wrote one high-level sentence which skillfully summarized a paragraph of the original text. As far as I understand, this is what the author meant by 'summarizing' vs. 'shortening (while missing essential statements)'.

I was impressed at those high-level summaries. If I had assigned this task to several humans, I'm not sure how many would have been able to achieve similar results.

u/kibbi

KarmaCake day104December 2, 2010View Original