Major reversals 🔁

US Senators scrap AI regulation proposal from budget bill

It’s not often that US Senators vote 99-1, but they just did on a controversial AI proposal in President Donald Trump’s sweeping tax bill. 

In the version of the bill passed by the Senate yesterday, lawmakers nearly unanimously voted at the last minute to scrap a proposal that would have prevented states from regulating AI for a decade.

The details: 

• The original legislation proposed a 10-year ban on state-level AI regulation of any kind. If a state passed any AI regulation, it couldn’t tap into key broadband funding from a $500 million federal program.

• Proponents said: Patchwork state-by-state legislation around AI hinders progress and keeps the US chasing China on tech. Microsoft, Meta, and Andreessen Horowitz were among the tech companies pushing for the moratorium.

• Critics said: The regulation would have been a hall pass for an industry avoiding accountability for the impact of its products.

Apple may ditch its own AI for Claude or ChatGPT

Apple is reportedly considering using OpenAI or Anthropic LLMs to power its next-gen Siri. This is a major reversal that could signal Apple is reading the writing on the wall: It’s behind on generative AI.

What happens now? Apple has asked both OpenAI and Anthropic to train custom versions of their models to run on Apple’s Private Cloud Compute servers, Bloomberg reports. While no deal has been finalized, executives reportedly think Claude is better suited to handle Siri’s needs than Apple’s homegrown models.

Quick context: Apple delayed its AI-enabled Siri (originally slated for 2025) until next year at the earliest following a slew of technical challenges. Bringing in third-party models could fast-track Apple’s effort to match Android competitors and close the feature gap. Licensing third-party AI is already a play run by Samsung (with its features leveraging Gemini) and Amazon (which works with Anthropic to help power the new Alexa+).

Microsoft tests multi-agent AI for medical diagnosis

Microsoft’s latest AI system diagnosed patient cases four times more accurately than human doctors in a recent benchmark test.

How it works: 

• MAI-DxO uses a “chain-of-debate” orchestration system that mimics how multiple physicians might collaborate on a diagnosis.

• It draws on models like GPT-4, Gemini, Claude, and Llama to analyze symptoms, select follow-up tests, and arrive at a conclusion with 80% accuracy. 

• Human doctors scored just 20% under the same constraints.

The system also reduced costs by 20% by recommending more efficient diagnostic routes. Microsoft researchers say the approach could be a major step toward lowering healthcare costs—if the tool can prove itself in real-world clinical trials.

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Turn static visuals into motion with AI

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Turn any room into a design showroom

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