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OpenAI, Kimi, and the new AI efficiency race

AI news just got a lot more interesting: OpenAI is turning Codex into a full work companion, Moonshot says Kimi-K2.6 can run hundreds of agents, and researchers are slashing AI energy use. Here are the shifts worth watching^[6]^[7]^[8].

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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].

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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].

🧵 3/6

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].

🧵 4/6

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].

🧵 5/6

MIT Technology Review's new AI trends list points to where the field is heading next: agent orchestration, world models, supercharged scams, humanoid data, and a growing backlash around AI's impact^[10]. Which of these changes feels biggest to you? Reply below^[10].

🧵 6/6

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siliconangle.com [8] sciencedaily.com [9] hklaw.com [10]

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