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House committee proposes transparency enhancements

The committee tasked with recommending ways to improve the inner workings of Congress approved a first set of policy proposals, focused on increasing the transparency of the lawmaking process.

The five proposed reforms passed Thursday by the bipartisan Select Committee on the Modernization of Congress are intended to improve the public's access to congressional information. The recommendations would:


  • Standardize the format of legislative text, making it easier for the public to access and understand legislation.
  • Create a centralized home to track committee votes.
  • Update both the House and Senate lobbying disclosure systems.
  • Make it easier to track amendments to legislation.
  • Create a database showing which agencies and programs are due for reauthorization.

Democratic Chairman Derek Kilmer said he plans to introduce legislation to reflect the transparency-focused proposals, which the committee passed unanimously.

"Transparency in Congress promotes more accountability to our constituents, and that's a good thing," Kilmer and the Republican vice chairman, Tom Graves, said in a statement. "These bipartisan recommendations are just the first step towards making the legislative branch more effective and accessible for the American people."


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A ​fire burns and destroys the city hall  in Limoges, central France.

A fire burns and destroys the city hall after a group of individuals forced entry into the building during ongoing protest action against the "high cost of living," in Limoges, central France on Oct. 17, 2026.

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What Americans can learn from the French protests

On Monday, France’s Interior Minister Laurent Nuñez admitted that police have “lost control” as some cities continue to see massive waves of looting and mayhem. Social media brims with images of stores being ransacked, cars burning, and mask-wearing goons running wild. In Limoges, the beautiful Hôtel de Ville was burnt to the ground.

But the chaos, as is so often the case, began peacefully. And many supporters and leaders of the protests have condemned the violence. I think that violence has more to do with France’s miserable record of assimilating immigrants from North Africa and the Middle East than with budget cuts. Call me cynical, but I don’t believe the goons pillaging Louis Vuitton stores are planning to resell the handbags to buy better school supplies or to bolster their teachers’ salaries.

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This fall, something like that is true for about 2.75% of eligible American voters. Just 7.3 million people out of 266 million eligible adults will have more power to decide the outcome of this year’s midterm elections than the rest of us. The difference from the friend group scenario is that these people with decisive power often don’t realize it. In fact, they may doubt whether they should even bother to vote.

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Imagine seeking refuge in a strange land, far from everything you know, and being handed papers in a language far from your own. State officials loom overhead as they urge you to sign your name on a dotted line. You can't quite make out what they’re saying, but you get the impression that signing your name will end this experience.

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AI chatbots are always guessing, even when they sound sure. Experts and Claude itself explain the AI trust gap, bias and why to check sources.

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AI’s Information Crisis: Why Trust Is Harder to Sustain Than Ever

In all the debates about human and machine intelligence, one thing has become clear: We humans love to talk about AI. We’ve speculated whether AI will create or eliminate jobs, revolutionize or destroy science, comfort or torment us, entertain us brilliantly or rot our brains, or some combination of all these things. But amid the noise, we may have paid too little attention to a subtler impact: how AI is disrupting our relationship to information and making it harder to know what to believe.

The problem isn’t just deepfakes, the malicious manipulation of images, video, and audio. Even benign, well-intentioned AI applications can be profoundly misleading. The nature of the large language models that power chatbots means that they are always guessing, however confident they seem. How can we use AI to produce reliable information that improves public discourse rather than distorting it?

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