The Hallway Track
10 tracked signals on DeepSeek.
Open-weight models now trail closed frontier models by only 4-7 months on cybersecurity capabilities
“This implies cyber defenders have a short window to prepare before today's frontier cyber capabilities may become accessible without the same safeguards”
DeepSeek 4.1 Flash outperforms previous models and significantly reduces operational costs.
“Incredible leap forward.”
DeepSeek launches v4.1 architecture while retiring v4 Pro.
“true whalebros never wavered, and now DeepSeek are sending a weirdly mixed message by doing a completely new architecture”
DeepSeek released a coding agent harness that is the fastest-starred GitHub repo in history
“Everything is a plugin.”
DeepSeek 4 Pro achieves near-frontier quality with MIT-licensed open weights, pressuring closed AI labs.
“DeepSeek has MIT licensed open weights. Anyone can run the exact same model at their own price.”
DeepSeek's updated flash model beats its larger pro version via post-training improvements alone
“Just the post-training step changed?”
DeepSeek released a self-modifying open-source agentic harness that extends itself on demand
“it's not you who rewrites the program, but the program rewrites itself”
DeepSeek V4-Flash 0731 matches GPT-5.6 performance at 60% lower cost via post-training alone
“Terminal-Bench 82.7, up +25.8 from the April preview's 56.9”
DeepSeek's Liang Wenfeng built a competitive AI lab by stockpiling Nvidia A100s and reworking training to reduce GPU reliance after US export controls.
“Look, the way this works is we're going to tell you it's totally hopeless to compete with us on training foundation models. You shouldn't try, and it's your job to like try anyway. And I believe both of those things.”
DeepSeek introduces a method to fix GPU underutilization by rerouting prefill work through idle decoding machines.
“you don't need a bigger brain. You need a bigger straw.”