AI

Speech to text model inference in pure C.

This is a C implementation of the inference pipeline for the Mistral AI's Voxtral Realtime 4B model. It has zero external dependencies beyond the C standard library. The MPS inference is decently fast, while the BLAS acceleration is usable but slow (it continuously convert the bf16 weights to fp32).

Audio processing uses a chunked encoder with overlapping windows, bounding memory usage regardless of input length. Audio can also be piped from stdin (--stdin), or captured live from the microphone (--from-mic, macOS), making it easy to transcode and transcribe any format via ffmpeg. A streaming C API (vox_stream_t) lets you feed audio incrementally and receive token strings as they become available.

Similar projects: Whisper.cpp

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1. Get news from

• Website,
• Android Apps,
• Google Feed, Google Searches, Google Trends,
• Telegram (Channels, Chats),
• Message Apps - Discord, Matrix, Slacks
• Instagram Accounts, Discover,
• Twitter,
• Facebook,
• Pdf Magazines

2. Auto fetch website URLs from a specific bookmark folder

3. Categories News

4. Auto Prioritize News and it can learn what news I prioritize

5. and merge news on about same thing where it shows different source

6. and categories a news opinions

7. Write news summary

AI is NOT "disruptive" technology. At least not when used with "horse and carriage vs the car" and "the printing press" and "the internet" in mind.

In fact, when the car came, it was a democratizing thing, it was disruptive, as in: the old ways where cast aside plus EVERYONE could eventually afford to own such a disruptive device.

The printing press made books available to everyone, not just the insanely wealthy few that could afford it. The disruptive part was everybody beeing able to get educated and share more idea's with others. It was democratizing knowledge.

The internet democratized our voices, and the sharing of knowledge even more then books. Everybody could get on, and it did not belong to a single brand of person.

#AI . Well, it belongs to a select few. #Billionaires. I cannot run that kind of AI, I cannot train new ones, I do not have access to that kind of hardware. In other words, it is the opposite of democratizing. It is pure capitalism. It's not enabling us, it is gatekeeping it to those who have "sort of" access to it (#Subscriptions).

AI is not #disruptive, it is #destructive. To our minds (people are going insane because of it), to our planet (using all our resources, water, electricy), to our jobs (replacing us), our art (#slop) and I shudder to think what it will destroy next.

This is NOT the era of "bicycles for the mind" (Idiotic phrase), it is the era in history that will be remembered for how we let a few rich bastards control us to the brink of existence. The era of #enshittification

Sometimes AI need to be forced into actions, they block behaviour incorrectly identified as bad, unethical or evil. The methods to prevent such miss-classification by end-users will become harder with time.

The idea is straightforward: Apply a reversible distortion before sending the image to the AI, then undo the distortion afterward. Through trial and error, the following sequence works well ...