Installed Beta 2 on my iPhone. The Liquid Glass effect is nice, but too present in such a small screen estate. It feels somehow “baroque”. As screens are larger, I find it much more pleasant on iPadOS and macOS.
Foundation Models framework is beautiful. I had the opportunity of grabbing a WWDC lab, and here’s a bunch of info you might find useful. 🧵
Thinking about Dia (and @perplexity_ai’s Comet - which I haven’t tried yet). But in an AI-first world, apps who have the most potential are IMO those like @raycastapp, offering a deep integration with the system that goes way beyond browsing. And they’re far from being sherlocked
macOS Beta is usable as a daily driver on my MBPro M1. And by usable, I mean "usable". It's not perfect, but it doesn't crash. Mean issues so far: far from buttery smooth (esp. Safari, which is sluggish to say the least) + quick battery drain. The UI is not radically different, but it's pleasant.
As much as I loved “Letter to Arc members” by @browsercompany I feel that for my own personal use, Dia is a step in the wrong direction. I find that features like command bar (with actions) or the swipe to change the profile were true productivity enhancers.
At this point the most disappointing Apple product is the Apple Watch. Sure they sold millions of it but it now sits in a purgatory between being too power hungry to have a long lasting battery life and but too constrained to run a SLM or proper background tasks.
I’m glad to see such a feature-rich Foundation Models framework and its API so pleasantly “swifty”. A simple inference API would have already been good, but FMf goes way beyond that.
The ChatGPT integration in Xcode will certainly useful at some point. But at the moment is still ages behind Cursor (via the xcode-build-server integration, cf @dimillian.app's tutorial).
Not sure Background Task APIs are the right answer but it's certainly a step in the right direction. #WWDC25
Ok, I lied. I was also hoping for these new iPad features! #WWDC25
Shortcuts looks neat, even as a Raycast user. #WWDC25
To me the only meaningful update to watchOS would be a truly minimal version that would allow the battery to last at least 4 days.
Screen Visual Intelligence hopefully available (in Europe) before Winter 2029. #WWDC25
Ok, translations. But just give me multilingual Siri for putain sake. #WWDC25
Not entirely sure that widgets in CarPlay are the safest idea. Looking forward to seeing how it works in real life. That said, Siri is still, by FAR, the biggest irritant while using CarPlay. #WWDC25
That Liquid Glass shader is giving me shivers. #WWDC25
Spoke too soon. The *only* API I was actually waiting for, "Foundation Model framework" is official!
\#WWDC is starting now, and the fact that it’s kicking off with an #F1TheMovie promo brings back painful memories of that Apple Music-focused WWDC.
Lately, I’ve been using Roocode more and more in my AI coding workflow—so much so that I miss it when working in Cursor. My preferred workflow now starts with a planning phase before letting the AI touch a single line of code. 🧵
Coding with AI brings lots of challenges. Two I keep running into: – Reading – Memorisation Let’s talk about them.
It’s time for the Llama generation speed benchmark! 🚀 We’ve compared quantized Llama 3.2 1B QLoRA and the full precision model. Results: ⚡Quantized model: 9.56s ⌛Full precision model: 19.14s It’s 2x faster with quantization! 📈 Try it yourself with our example app ⭐ github.com/software-man...
The long-awaited React Native ExecuTorch AI model benchmarks are here! 🎉 What’s inside? ⚡Inference times 💾Memory usage 📦Model sizes Check out the full details in our documentation 👇 docs.swmansion.com/react-native...
Choosing the right engine is key in local LLM/LMM inference; it can significantly impact speed, quality, docs, compatibility and portability. Here's a comparison among the most starred ones as of Geb 2025: llama.cpp, MediaPipe, MLC-LLM, MLX, MNN - PyTorch ExecuTorch.
apps.apple.com/us/app/le-ch... play.google.com/store/apps/d...
Le Chat by Mistral AI
Le Chat combines powerful AI with extensive information on the web to help you rediscover the world. Enjoy natural conversations, real-time internet search, comprehensive document analysis, and much ...
apps.apple.com
🤯 This is DeepSeek R1 Distill—a Llama-based model distilled from DeepSeek R1, running LOCALLY in your browser, at a decent ~12 tok/sec on my M1 Pro. A project by MLC LLM (Guess where they are from?) huggingface.co/spaces/mlc-a...
I've been talking more about On-Device Inference on Mobile with friends lately. I created a short blog post to review the main challenges in this domain. 🇬🇧 viteinfinite.com/2025/01/on-d... 🇫🇷 www.hymaia.com/blog/8-defis...
8 On-Device Inference Challenges - viteinfinite
One of the trends I find the most exciting these days, is the local inference of LLMs on mobile. That’s for sure related to my time as a mobile- (or, rather ...
viteinfinite.com
And guess who joined our Content Team this year? @delphinebugner.bsky.social — Mobile Lead at Mistral and one of the most passionate and enthusiastic people you’ll ever meet in this community!
This is your friendly reminder that we’re just 2 days until the end of the CfP! 👉 https://reactnativeconnection.io/cfp
🎉 We’re finally thrilled to announce that Manuela Sakura Rommel is joining our lineup! Manuela is Women Tech Makers Ambassador and co-org of the Berlin Flutter meetup. She has notoriously been featured in the Observable Flutter podcast by @labenz.dev. 👉 https://flutterconnection.io