







Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns
Where are your agents right now?

Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI
Plus, a live event with Robin Sloan!

Zhijing Jin on Twitter / X
🚀 Can #AI agents actually do science?Current agents can optimize for predictive fit — but fail at recovering the underlying physical laws.We introduce Stargazer🪐: a scalable benchmark + environment for astronomical discovery🔭Agents must:• propose hypotheses•… pic.twitter.com/hGIjz4KJMT— Zhijing Jin (@ZhijingJin) May 7, 2026

Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
What laws does superintelligence demand?


Kimi K3: The open-weights escalation
The global implications on the AI ecosystem.

Import AI 467: Self-sustaining AI viruses; pacing AI progress; confusion about AI and creativity
When do we build the moon arcology?

Import AI 460: Reward hacking society, RSI data from Anthropic; and RL-based quadcopter racing
When will markets price the singularity?

Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era
What eras bookend our interregnum?

Automotive — Solutions — Liquid AI
On-device AI for automakers — real-time, personalized in-car assistants that run on the vehicle's existing CPUs and NPUs.

Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Welcome to Import AI, a newsletter about AI research.

Introducing LM Studio Bionic: the AI agent for open models
The AI agent made for open models, built to get things done.

Import AI 458: Reckoning with the future; and a singularity story
What AI-driven miracles will happen this year?

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
Play for On-device AI (beta) | Other Play guides | Android Developers
Play for On-device AI enables developers to efficiently distribute custom machine learning models via Android App Bundles and Google Play, offering various delivery modes and device targeting capabilities to optimize deployment on Android devices.

