AI is great for language learning, but most AI chat apps don’t help you retain what you learn. Flashcards work, but making good ones is tedious. So I built Lexigen: an AI-powered flashcard app that automatically generates definitions and usage examples for the words you save.

I originally built Lexigen for myself and it has worked pretty well, so I’m sharing it in the hope that it’s useful to others as well. 👉 Free download on the App Store: https://t.co/9JOiaAUNNP

Lexigen runs on Apple’s on-device Foundation Models instead of a cloud API Pros: • No subscriptions or accounts • Better privacy by design Cons: • Limited supported devices and languages • Strict safety guardrails prevents card generation occasionally

Lexigen has a home-screen widget that refreshes hourly. When you check your phone, you casually run into your vocabulary. Learning happens in the gaps of your day.

My experience exactly

1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).

o1 is the first model I tested that was able to solve this ‘world’s hardest logic puzzle’ correctly, albeit with a lot of guidance and steering from the human.

Tried @runwayml's Camera Control with a photo of me as a baby👶 The model failed to orbit around objects when I gave it artistic paintings, but it deals with photos of people relatively well. #AI #2Dto3D

So excited about this! GitHub Copilot in Xcode! Apple better up its game fast! https://t.co/dnIY0u3W0K

3 ultimate questions: 1. Existence: why something instead of nothing? (Nature of substance) 2. Events and dynamics: how does anything happen? (Nature of space-time and quantum probability) 3. Emergence: complexity, awareness/feeling/consciousness, possible illusion of will …

These 94 lines of code are everything that is needed to train a neural network. Everything else is just efficiency. This is my earlier project Micrograd. It implements a scalar-valued auto-grad engine. You start with some numbers at the leafs (usually the input data and the

I'm not sure what this is though 😂

Another one with my AI artwork. Drifting away. It does keep the body parts relatively consistent most of the time 😅.

I tried @LumaLabsAI's image-to-video AI with one of my old AI artworks, and this is what I got. Interesting. There’s still lots of room for improvement, I would say.

Marketing speak to terms you already know: semantic index -> embeddings app intents -> function calling on device language model -> 3B fine tuned LLM w/ included LoRA adapters on device image model -> diffusion model w/ included LoRA adapters orchestration -> Siri Neural Engine

Finally got the flashcard animations to work 😅 The app is still in early development... #SwiftUI #iosdev

Just found out about this hidden feature today. Did you know that you can now share passwords with people on Mac? It works with iPhone with #iOS17, iPad with #iPadOS17, or a Mac with macOS #Sonoma. https://t.co/KPH4tnorPC

Don't be afraid of what you love. Cherish anything that can motivate you. Lean into anything that tugs at your heartstrings, no matter how unconventional and bizarre. Channel the desire, energy, and passion to shape yourself into the best version of who you can be.

In #SwiftUI, Text() can parse Markdown text directly. However, if the text is passed through a variable: - It must first be converted to AttributedString - Use .inlineOnly or .inlineOnlyPreservingWhitespace for interpretedSyntax to preserve line breaks.

Here is my solution for creating a selectable list with objects of different types in each section: - Select by using UUIDs, which are unique across types - Retrieve the object associated with the selected UUID Is there a better way to do this? #iosdev #SwiftUI