Simone Civetta

@viteinfinite.bsky.social

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.

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.

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. 🧵

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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...

Software Mansion @swmansion.com · 2y ago

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.

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🎉 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

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