4% market share while selling only a $3,500 product is more successful than expected For comparison, Apple holds around 8% of the PC market

What ?!

📣 It's a landmark day for Swift, with three announcements that expand the ecosystem for developers everywhere. Here’s what’s new! 🧵

Gemini having SOTA satellite data understanding was not on my 2025 bingo card, yet here we are :) developers.googleblog.com/en…

Google introduces Nested Learning, "a new ML paradigm for continual learning": "Nested Learning... represents a step forward in our understanding of deep learning. By treating architecture and optimization as a single, coherent system of nested optimization problems, we unlock a new dimension for design, stacking multiple levels. We believe the Nested Learning paradigm offers a robust foundation for closing the gap between the limited, forgetting nature of current LLMs and the remarkable continual learning abilities of the human brain."

Google may have had a breakthrough with Continual Learning AI models: "We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or even completely avoid the issue of “catastrophic forgetting”, where learning new tasks sacrifices proficiency on old tasks."

Bridging the Swift and Java worlds opens the door to a richer set of server-side use cases for Swift. In our latest GSoC spotlight, Mads Odgaard describes his work to expand access to Swift/Java interop. #Java #GSOC swift.org/blog/gsoc-2025-sho…

1er degré j’adore la vibe ahah

I love that cloudflare is heavily into Rust 🦀

Wonderful talking with Gergely about building large scale systems, and how my work at 🍎 building LLVM/Swift for CPUs connect to my journey to unify AI compute with MLIR + Mojo🔥. Clarification: Apple's approach is nearly unique, being willing to take very hard swings at very big problems. Asking hard question is part of the process! Apple leadership asked many hard q's in Swift development, but they were the right questions to ask, and helped shape Swift into the success that it became. I credit leadership with asking hard questions, setting a high bar, and demanding excellence. This approach is what allowed it to bet full force on such a radical shift in its developer ecosystem - this required conviction, alignment, and determination at all levels. This is made possible through a very deliberate set of leadership principles. It also helped that Swift is a good thing of course :-) I cherish my time and learnings from Apple, and consider myself to carry "Apple DNA". It's a magical team!

openai.com/index/1-million-b… "Today, we’re announcing that more than 1 million business customers around the world are directly using OpenAI—the fastest-growing business platform in history. This includes all organizations that actively pay OpenAI for business use—either through ChatGPT for Work, or through direct consumption of our models through our developer platform."

it’s fascinating how much large language models are in the process of reversing paradigms & business models. in the search era, google paid apple ~$25b/yr to stay default. in the ai era, apple will *pay* google ~$1b/yr to rent intelligence. very fascinating because this is likely just the beginning of a ton of shifts like this in every industry.

Troooop bien !!

Oupsi ahah

Perplexity is the first to develop custom Mixture-of-Experts (MoE) kernels that make trillion-parameter models available with cloud platform portability. Our team has published this work on arXiv as Perplexity's first research paper. Read more: research.perplexity.ai/artic…

When I was young, I sucked at math. Even in early college. Then I sat down and did alot of practice. It did three things: a) made me realize I was bad because I wanted to get it right away but that it could not work that way; b) building up slowly but continuously would work in long-run; c) gave me the mathematical maturity to work on things. 90% of complaints about mathematics, mathematical economics and statistics come from impatience and a feeling of inability to immediately get it.

Lynx 😘 React Compiler

Chris Lattner (@clattner_llvm) is one of the most influential engineers of the past two decades. He created LLVM, Swift, contributed to TensorFlow, and created the Mojo programming language. What was the story about creating Swift - and why did he face resistance inside Apple when wanting to replace Objective C? What did he learn at Tesla, Google and CPU maker SiFive, that led him to working on Mojo at Modular? We cover these and many more in today's episode. Watch or listen: • YouTube: piped.video/watch?v=Fxp3131i… • Spotify: open.spotify.com/episode/2Nk… • Apple: podcasts.apple.com/us/podcas… Brought to you by: •⁠ @statsig ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. statsig.com/pragmatic •⁠ @linear – The system for modern product development. linear.app/pragmatic?utm_sou… My favorite quote from Chris in this episode: “I believe in the power of programmers. I believe in the human potential of people that want to create things. And that’s fundamentally why I love software is that you can create anything that you can imagine.”

Il n’est jamais trop tard 🙃

Just had a blast in the #swiftlang #android workgroup! A turn up of 10 new people looking to collaborate on making this happen 💪 This effort is completely open! If you're interested too - join our community!