Swift 6.2 concurrency journey:
- Start single-threaded.
- Introduce asynchrony for latency.
- Embrace concurrency for performance
- Leverage actors for robust state isolation.
Hi. Over the last 24 hours we had three separate small incidents that affected Codex reliability. Those are three too many and we are taking active steps for them to not reproduce.
I have reset usage limits for Codex across all paid plans. May the tokens flow again.
The best way to explore upcoming and existing Swift language features:
The Swift Evolution Explorer
https://t.co/oOOGTjNo9R
https://t.co/OJQ7hTozGF
#swiftlang#iosdev
Behind every iPhone. His compiler.
Behind every Android. His compiler.
Behind every NVIDIA GPU. His compiler.
One American. Billions of devices. 🤯
Meet Chris Lattner 🇺🇸
> Started LLVM in late 2000 at UIUC as part of his graduate research.
> LLVM is a compiler infrastructure ~ the software that turns code into machine instructions.
> Apple hired him in 2005. He stayed 12 years.
> His toolchain now powers iPhone, iPad, Mac, PlayStation, Android NDK, and NVIDIA's CUDA.
> Also built Clang ~ the C/C++ compiler used by Google, Microsoft, and Sony.
> Built Swift in secret. Nights and weekends. While leading a 40+ person Apple team by day.
> Apple leadership was skeptical. He shipped it anyway. 🚀
> Swift now powers the vast majority of iOS apps on earth.
> Won the ACM Software System Award ~ same as Unix, Java, and TCP/IP.
> 2017 ~ Tesla VP of Autopilot. Worked in Elon's orbit. Left in 5 months.
> Joined Google Brain. Built MLIR ~ the compiler infrastructure behind TensorFlow.
> 2020 ~ joined SiFive to build open-source chips competing with Intel and ARM.
> 2022 ~ left Big Tech entirely. Founded Modular AI.
> Built Mojo ~ a new AI language that runs Python up to 35,000x faster.
> LLVM, Clang, Swift — all open-source. Mojo follows in 2026.
> Targeting NVIDIA's $4.8 trillion CUDA dominance. Raised $380M. Valued at $1.6B.
> Still writes code. Still answers GitHub issues himself.
He spent over 25 years building the compilers Big Tech is built on.
Now he's openly building the one that could break NVIDIA.
What a mind. Compiler GOAT. 🧠🐐
Massive L from GitHub
One of the most embarrassing outage that can happen (a data integrity issue), and the response is "well, actually, it's only 0.07% of customers...")
Customers whose workflow is messed up badly are fuming reading this. No respect for the customer...
Spot on 🎯
We don't need frontier intelligence to automate searches and sending emails
- We don't need trillion parameter models to be able to summarize articles or technical documents
- We don't need massive GPU data centers to control our home appliances or turn the lights off in the garage
THIS GUY VIBE CODED A GTA STYLE GAME ON TOP OF GOOGLE EARTH IN A SINGLE WEEKEND WITH CLAUDE CODE.
Real cities, real streets, real airports, local radio, cops, hospitals, and a browser game that would’ve taken months to build the old way.
Swift Talk 488
The FormatStyle API
We look at the FormatStyle API’s more interesting options, and how they interact with SwiftUI.
This episode is free to watch, enjoy! 😊
https://t.co/8Xyjhml6Pu
Next week we will explore the concept of “actor re-entrancy”—how Swift actors approaches the problem vs. other languages and libraries, and the “wrong” way to use actors in Swift.
Catch up before then!
.@matansf says there's a sexy use case for AI agents, and a less sexy one.
"There's one use case that's the fun, cool stuff, like 'Let me build all these new apps from scratch', which probably doesn't move the needle for the business."
"Then there are the less sexy use cases, but they actually save developers a ton of time. That's where we're seeing a lot of the ROI coming from."
"There are developers who are really smart and spend years of their lives becoming experts. They should not be spending their time on low-leverage things like documentation, testing, or spending two years doing legacy code migrations."
"Generally, the orgs that we see get the most ROI are the ones who basically play whack-a-mole with what is the lowest-leverage thing that our developers are doing right now, and then use droids to automate it."
"We take a lot of inspiration, and it's even where our name comes from, from what Elon and Tesla did to physical factories. If you go to Tesla factories, they're mostly machine arms going and doing things. There's no reason that software can't be very similar."
"Obviously, you still need humans involved, but those humans tend to play more of a role in designing that software factory and figuring out the most efficient way to configure it so that you can move the needle on your business and produce more output."
Opus 4.7 is the first model that feels like it is openly condescending towards me, as the customer with certain prompts.
Whatever Anthropic did: I don't like it. If the model is condescending: I shouldn't be paying you to use it; you should be paying me!
Who would have thought
There is massive irony in how AI coding tools are starting to become TOO expensive for many enterprises - after eg Anthropic removed subsidizing AI subscriptions.
We might go from "everyone use AI for everything!" to "you have $300/month AI budget; use your brain for the rest."