Texti Newsletter #17

Women's day has passed, have you congratulated your beloved ones? If not? go ahead get some flowers, or at least generate some and let's get into this week's highlights.

The highlights of the week:

  1. The social media is about to get blown up!
  2. Google trains their AI using radio

InVideo.io

TLDR:

This AI tool can generate you a fully fledged AI video, using stock footage and generate videos by any topic. Check the preview! To see a result. It's also free for now

Long Story:

We're almost there! A startup called InVideo, is now able to assemble and write a script about a topic of your choice. It guides you nicely throughout the process to understand what platform you are targeting.

Based on your input and instructions it will assemble a script, consisting of several chapters. Each chapter is built with some stock footage and hoping it's based on your script. Granted it does not really generate video so it's not Sora or even close to it, but it uses stock footage so the vids are not really shitty but rather good.

In the case the AI went nuts, and generated a bunch of gibberish, you can also manually edit your scripts, delete or add entire chapters. You can even replace or remove the stock footage that your video looks much nicer in the end.

Generally I think this is already high up there, with and moves the needle further. You can really make things happen with this.

Note: You can also add your own videos instead of stock footage, but that's not fun anymore. 😅


Google is training it's AI with Radio

TLDR:

Google just filed for a patent to make it's AI train on radio streams, this will make the AI learn natural voice, and has likely unlimited voice audio to learn from. I find it ingenious!

Long Story:

Google found it's unlimited resources of audio data, it's free, it's streamed live non-stop, you can learn natural voice, you can learn rare languages, you can learn all the languages, all you need to do is just listen to radio.

Google just filed for a patent where they describe entirely the procedure of training their own AI models on radio data. Reminder if you want to know why exactly google needs audio sources in the first place you can read a super simple explanation here.

I honestly find this pretty ingenious, you have all this raw data of voices, which are streamed over internet a lot of the time, and all you need to do, is just feed them to an algorithm that's gonna break it into computer understandable and distinguishable state. What computers understand are numbers, so that's exactly what they are going to do.

Audio is a audio wave, which means it has a unique fingerprint. All of these fingerprints can then later be grouped and aligned into a database.

Now with tons of trial and error, until this is polished up properly, Google will eventually have a vast source of audio profiles in most languages.

AI will be able to synthesize any text into audio, literally speak as a radio broad caster 📻 🎙️


The future is now ❤️️️️️️️

Happy Prompting!

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