The SURPRISE is:
https://t.co/pn3jJHINVu
Order of the Sinking Star will have a free demo on Steam, for NextFest, Monday.
Because the game is HUGE, the demo is huge: it's bigger than most entire paid puzzle games, and you get to try it out for free.
@brian_armstrong TL;DR: Overhiring post 2020, economic uncertainty -> free money drying up, making lofty moonshot projects an impossibility, + mention AI to minimize stock price damage (almost everyone understands that if you had the magic 10x productivity multiplier you’d hire, not fire)
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. 🧠🐐
Another amazing project made with #raylib: Hawkeye
A real-time 3D multi-drone flight visualizer for PX4, the open-source autopilot stack for drones and unmanned vehicles! 🤯
- Hawkeye: https://t.co/dNBITt9wlu
- Source code: https://t.co/Nv0gPSn47Z
by @PX4Autopilot
I'm very excited to announce `raylib 6.0`! 😄
With +2000 commits and +200 contributors, this is the biggest release ever!💯
- Release details: https://t.co/1alHEqsfIM
- Discord: https://t.co/YojL0ogs13
- Webpage: https://t.co/wdthgF9gtY
**code once, play everywhere!**
Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward
🔸 MiMo-V2.5-Pro, our strongest model yet.
A major leap from MiMo-V2-Pro in general agentic capabilities, complex software engineering, and long-horizon tasks, now matching frontier models like Claude Opus 4.6 and GPT-5.4 across most benchmarks (SWE-bench Pro 57.2, Claw-Eval 63.8, τ3-Bench 72.9). It can autonomously complete professional tasks involving 1,000+ tool calls, work that would take human experts days.
Tech Blog: https://t.co/I275kxl9kL
🔸 MiMo-V2.5, native omnimodal with strong agentic capabilities.
Pro-level agent performance at roughly half the cost. Improved multimodal perception across image and video understanding, native 1M-token context window, and significantly more efficient inference.
Tech Blog: https://t.co/7DLo0n2MNu
🔗 API & Token Plan: https://t.co/P74SR2MaJe
Meet Kimi K2.6: Advancing Open-Source Coding
🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
-
K2.6 is now live on https://t.co/YutVbwktG0 in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code: https://t.co/uvoSJKyGCY
-
🔗 API: https://t.co/EOZkbOwCN4
🔗 Tech blog: https://t.co/9wWvgIQSS3
🔗 Weights & code: https://t.co/Be0hjs2RTP
In 2023, we spent $3,934,099 on AWS + other hosting. In 2026, our hosting + support bill is down to ~$1m/year due to the cloud exit. Even including all the hardware buying, we will already have saved ~$4m by the end of this year. And going forward, it's ~$3m/yr in savings 🤑
raylib 6.0 is around the corner and I just updated the architecture diagram, it blows me away how far it has come! 🥲
#raylib architecture v1.0 vs v6.0, 12.5 years apart
From empty repo to a functional minimal standalone terminal based on libghostty in 2 hours, presenting Ghostling! ~600 lines of C and you get extremely accurate, performant, and proven terminal emulation.
https://t.co/kPJ1aPHwKi
Feature list:
- Resize with text reflow
- Full 24-bit color and 256-color palette support
- Bold, italic, and inverse text styles
- Unicode and multi-codepoint grapheme handling (no shaping or layout)
- Keyboard input with modifier support (Shift, Ctrl, Alt, Super)
- Kitty keyboard protocol support
- Mouse tracking (X10, normal, button, and any-event modes)
- Mouse reporting formats (SGR, URxvt, UTF8, X10)
- Scroll wheel support (viewport scrollback or forwarded to applications)
- Scrollbar with mouse drag-to-scroll
- Focus reporting (CSI I / CSI O)
- And more. Effectively all the terminal emulation features supported by Ghostty!
The libghostty C API is not formally released, but I built this project to prove its ready to go. 😎 https://t.co/kPJ1aPHwKi
After several days and MANY hours of work, CHANGELIST for upcoming raylib release has been handcrafted. 🔥
It required manually reviewing +1800 commits and PRs, organize them, reword comments, check involved functions/modules, cleaning, revisit code...
No, AI could't do it.