The real AI battle isn't about who has the best model—it's about who controls your context. I just published a piece on why keeping these layers separate is the most important design decision of the AI era: https://t.co/6bljxg7KIt— Alex Komoroske (@komorama) June 16, 2025
A tale of two Agent Builders
What two competing solutions to the same design problem tell about the future of designing AI interfaces.
The AI Model That Was Too Dangerous to Release: Meet Claude Mythos
Anthropic just built the most powerful AI in history. Then decided the world wasn’t ready for it. Here’s everything you need to know.
Which AI brands have the most satisfied users?
My Thoughts on AI | Jack Conte
Hey creators! I’ve been thinking a lot about AI over the last year, but I’ve mostly been speaking about it in little short form clips and in
The Phoenix Architecture
Generative AI coding demands what we've always known: modularity, clear boundaries, disposable components. Principles that scaled human teams are now table stakes. Here, we make the implicit explicit
Why the AI Policy Debate Should Focus More on the Harness and Protocol Layers
A conversation with Raffi Krikorian, CTO of Mozilla and author of the newsletter Owners Not Renters.
How the world's top AI models were revived
The personality clashes and industry confusion behind the 20-day saga.
Pace Layers and AI Integration - The Phoenix Architecture
Good Taste the Only Real Moat Left
AI makes competent output cheap. That makes taste more valuable, but also more incomplete. The real edge comes from pairing judgment with context, stakes, and the willingness to build.
Georgi Gerganov on Twitter / X
gpt-oss is a great modelIMO OpenAI showed us the blueprint for winning local AI:- Interleaved SWA- Small head sizes in the attention- Attention sinks- Mixture of Experts FFN- 4-bit trainingAll of these parts combined together result in the best architecture suitable for…— Georgi Gerganov (@ggerganov) August 28, 2025
New research: how well do AI models actually follow their constitutions? 205 tenets from Anthropic's 30K-word soul doc. Adversarial multi-turn scenarios against 7 models. Claude: 15% → 2% violation rate in two generations. Training works. But the remaining failures tell a more important story.
The real AI battle isn't about who has the best model—it's about who controls your context. I just published a piece on why keeping these layers separate is the most important design decision of the AI era: techdirt.com/2025/06/16/why-centralized-ai…
Why Centralized AI Is Not Our Inevitable Future
www.techdirt.comAI* model collapse/recurring motifs
* I’m neither “pro-AI” nor “anti-AI.” I’ve been blocked for being perceived as both. —Actually, I’m honestly more anti-AI than pro-AI thus far, aside from specialized models and specific use cases, but I’m willing to consider information that’s new to me
AI is eating website traffic, websites are blocking AI – and reliable information is getting harder to find
Where the goblins came from
Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models
Chatbots Keep Telling Stories About Lighthouse Keeper 'Elias Thorne'. We Might Know Why
Anthropic blames dystopian sci-fi for training AI models to act “evil”
OpenAI Really Wants Codex to Shut Up About Goblins
