OpenAI, Kimi, and the new AI efficiency race
OpenAI's April 16 Codex update goes far beyond coding: it can use your computer, browse the web in-app, remember preferences, run automations, and work with 90+ plugins, which makes it much closer to an operating partner than a code helper[6].
Moonshot AI's Kimi-K2.6 is making noise for scale and efficiency: SiliconANGLE says it uses 384 experts, only activates 8 per prompt, and can spin up as many as 300 agents for harder tasks, including building websites[7].
A new neuro-symbolic robot AI from researchers could cut energy use by up to 100x while improving task performance, with 95% success on Tower of Hanoi tests and far less training time than standard systems[8].
The policy side is moving just as fast: one 2026 legal update says U.S. healthcare AI is being shaped by state bills, HHS pilots, and tighter expectations for auditability, oversight, and lifecycle monitoring[9].
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