Donovan Baney

OpenAI just killed the worst part of building iOS apps with AI. The new Codex "Build iOS Apps" plugin can now: → run your app in an in-app browser → open SwiftUI previews → hot reload edits all without leaving Codex. No more copy-paste-build-screenshot loop. The agent sees what it ships. This is the loop indie devs have been begging for.

BREAKING: SpaceX is acquiring Cursor in a $60 billion all-stock deal. • Cursor is being valued at $60 billion • Cursor will become a wholly owned SpaceX subsidiary • Cursor shareholders will receive SpaceX Class A shares • The exchange ratio will be based on SpaceX’s 7-day average share price before closing • Subject to regulatory approvals and customary closing conditions • Expected to close in Q3 2026 Cursor is one of the world’s leading AI coding platforms and one of the fastest-growing software companies. This marks one of the largest AI acquisitions ever and significantly expands SpaceX’s footprint in AI.

Local models!! This is where the focus needs to be.

GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global. The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer. GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model. Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week. A step closer to frontier intelligence for everyone. The future of AI is open, and it is for the people. ModelKey: GLM-5.2

MiniMax M3 4bit mlx-vlm preliminary context benchmark! Hardware: Apple M3 Ultra, 512GB RAM, 32 CPU cores, 80 GPU cores In the comparison you can see the new version of the PR focused on performance (WIP but PR already contains it). I'm also experimenting with a way to track bytes/chars generated independently from tokenizers. Because I want to find a better way to measure real output text generated 🧐 1k pp 323 tg 24 t/s mem 246.9GB kv 0.18GB 2k pp 349 tg 19 t/s mem 247.4GB kv 0.32GB 4k pp 358 tg 18 t/s mem 247.4GB kv 0.60GB 8k pp 331 tg 18 t/s mem 248.3GB kv 1.13GB 16k pp 252 tg 18 t/s mem 250.3GB kv 2.22GB 32k pp 166 tg 17 t/s mem 255.5GB kv 4.36GB 64k pp 131 tg 16 t/s mem 265.5GB kv 8.62GB 128k pp 85 tg 14 t/s mem 286.2GB kv 17.24GB Total generated tokens: 1024 Batch TPS: b1 19 b2 30 b4 44 b8 53 b16 73