cdn.cocoapods.org VS Porcupine  

Can you reach the site https://cdn.cocoapods.org in a browser? Networking / proxy issue?

Installing pods Using Expo modules Auto-linking React Native modules for target `app`: RNFirebase, RNGestureHandler, RNScreens, RNVectorIcons, react-native-maps, react-native-safe-area-context, and react-native-webview Analyzing dependencies Fetching podspec for `DoubleConversion` from `../node_modules/react-native/third-party-podspecs/DoubleConversion.podspec` Fetching podspec for `RCT-Folly` from `../node_modules/react-native/third-party-podspecs/RCT-Folly.podspec` Fetching podspec for `glog` from `../node_modules/react-native/third-party-podspecs/glog.podspec` Adding spec repo `trunk` with CDN `https://cdn.cocoapods.org/` [!] Unable to find a specification for `UMCore` depended upon by `UMPermissionsInterface` You have either: * out-of-date source repos which you can update with `pod repo update` or with `pod install --repo-update`. * mistyped the name or version. * not added the source repo that hosts the Podspec to your Podfile. [!] `` attempted to initialize an object with an unknown UUID. `1F3E0960957E4F529DF5C880` for attribute: `files`. This can be the result of a merge and the unknown UUID is being discarded.pod exited with non-zero code: 1

Try changing the first line of your podfile to source 'https://cdn.cocoapods.org/'

It would be possible to do this by querying the specs repo https://github.com/CocoaPods/cdn.cocoapods.org. This is what the web-app does.

I noticed that quite a few pods have more than 1 distinct source when checking the pods used by projects I have worked on. From what I could see source changes were the result of ownership changes, GitHub account name changes, etc.

So i'm not sure how to distinguish malicious source changes from innocuous ones. Maybe it would be worthwhile to search for source changes that lasted a single release and reverted thereafter.

I call it DaVinci. DaVinci uses Picovoice (https://picovoice.ai/) solutions for wake word and voice activity detection and for converting speech to text, Amazon Polly to convert its responses into a natural sounding voice, and OpenAI’s GPT 3.5 to do the heavy lifting. It’s all contained in about 300 lines of Python code.

Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.

Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website

Download the Porcupine model and turn the binary model into a base64 string.

Download Porcupine (i.e. Deep Neural Network). Run the following to turn the binary model into a base64 string, from the project folder.

Porcupine SDK Porcupine SDK is on GitHub. Find libraries for supported MCUs on the Porcupine GitHub repository. Arduino libraries are available via a specialized package manager offered by Arduino.

Looking for more? Explore other languages on the Picovoice Console and check out for fully-working demos with Porcupine on GitHub.

Don't forget to visit Porcupine's Wake Word's Github repository to see Python demos. If you want to do something similar to the video above, find the open-source codes here

I sometimes see the term "end-to-end", and it always passes right by my ears as marketing jargon. For example, there was a recent post today that linked to this page: https://picovoice.ai/, and you'll find the statement "... end-to-end platform for adding voice to anything on your terms". I did a quick Google search and it seems like the term is used in many different contexts (e.g., encryption, enterprise software for product development, etc.), but to be honest, I'm just not getting it. Maybe someone can explain here within the realm of embedded software? Could you provide some examples as well?