The bill aims to allow doctors and patients to see on the label exactly where a medication was made — details that had largely been withheld until now, even from Congress. Current generic drug labels often include only the location of the packager or distributor, which can be thousands of miles away from the actual manufacturer.

One provision made the law particularly strong, experts said: The label was supposed to include a unique code that the Food and Drug Administration uses to identify factories. That code would have made it easier for researchers and the public to track the regulatory histories of specific facilities.

The requirements also were supposed to take effect as early as a year after the bill’s passage.

Senators have now struck both of those provisions. People familiar with the deliberations said lawmakers worried the requirements would raise drug prices and weaken national security by revealing the precise locations where lifesaving medications are made.

Executives working on AI at Microsoft and OpenAI admitted what its critics have been saying all along: Large language models are predatory pieces of technology that have been built on what a Microsoft executive called “an astonishing theft of unprecedented proportions,” and the “largest theft of labor in human history.” An internal Microsoft document said generative AI products have created a “doom loop” that is killing “the entire web.”

Those statements and a series of other mask-off moments feature heavily in an unredacted court filing that was unsealed Thursday in the behemoth New York Times vs OpenAI copyright lawsuit that has been winding its way through the court system for years. In a filing asking for summary judgment (basically, a filing with the court asking it to rule), lawyers for the New York Times laid out a series of admissions made by Microsoft and OpenAI executives in documents and depositions that until now had remained either sealed or redacted at the request of Microsoft and OpenAI.

It’s easy to see why the AI companies wanted to hide this from the public. The statements, taken together, are some of the most damning indictments of the ways LLMs were trained, how they worked, and the immediate threat they pose to human labor. It is a reminder that even as AI becomes more powerful and companies try to shift the narrative to the supposed existential risk of “superintelligent” AI, the tools they have already built were created by stealing from human creativity and labor and are by definition existential threats to the human labor market.

• Archive
• Court filing

Former Department of Government Efficiency, or DOGE, employees are working on an artificial intelligence takeover of federal government services for the Trump administration.

The Washington Sun reports that the staffers are setting up an AI-driven website, America.gov, to help Americans with everything from obtaining and renewing passports to potentially preparing and filing taxes for free. (The latter is still under discussion and would be a reversal from the White House’s earlier decision to kill the free tax filing website launched by the Biden administration, Direct File.)

While the site is still in planning stages, several workers from Elon Musk’s DOGE are involved. These include Edward Coristine, known by his online moniker “Big Balls,” as well as Joe Gebbia, a former DOGE worker who co-founded Airbnb and now runs the White House’s National Design Studio. That office is leading the project.

The effort is intended to be housed in the General Services Administration, sources told the Sun. Sam Corcos, a former DOGE official and head of technology at the Treasury Department, moved on to roles at GSA last month. Login.gov, a government identity proofing system at the GSA that Corcos is helping to lead, could be used as an entry point for America.gov. The White House has already mandated its use for multiple public-facing agency websites.

Although everyone has their own reasons for exploring a new hobby, one of the driving factors behind the popularity of Meshtastic and MeshCore has been the incredible accessibility offered by off-grid LoRa mesh networks. You don’t need any expensive hardware or a license to get on the air — armed with a $20 microcontroller dev board and open source software, you could be on the mesh in minutes. Then came the really exciting part, seeing who else was out there. The low barrier of entry and ad-hoc nature of these projects meant there was a good chance you’d soon find yourself exchanging messages with other like-minded folks in the area.

Or at least, that’s how it used to be. With the recent revelation that their default radio configurations have potentially been in violation of the Federal Communications Commission’s (FCC) regulations governing amateur usage of the 900 MHz industrial, scientific and medical (ISM) band, the users and developers of both Meshtastic and MeshCore have been sent scrambling. Getting in compliance isn’t necessarily a technical challenge. In fact, Meshtastic has already introduced changes aimed to address the issue and anyone running the latest alpha release can be sure that their initial radio configuration will meet FCC standards.

But unfortunately, this introduces a new problem. While it’s easy enough to get new installations of Meshtastic and MeshCore operating in a mode that keeps the FCC happy, doing so breaks compatibility with everything that’s already been deployed. The community will be fractured into distinct strata depending on when they first configured their hardware, with an added dash of confusion from the more rebellious users who will undoubtedly refuse to migrate over to the new settings.

Georgia State University has rescinded a job offer given to a high profile activist who is currently fighting a case in which he allegedly wiped a security-focused Android phone before Customs and Border Protection (CBP) could search it. The case, which 404 Media first covered and has now received widespread and national attention, has important ramifications for privacy and when someone can still be charged with an offense even if authorities don’t have suspicion of any specific crime.

Earlier this month, activist Samuel Tunick and a group of supporters delivered a “demand letter” to the university. That letter, which Tunick shared with 404 Media, says he explained to the university he was facing a pending charge, which he describes as “an instance of textbook political repression, and a high profile civil liberties case.”

While delivering the letter, supporters held signs saying, “GSU sides with Trump,” and “Digital Privacy Under Attack!”

• Archive: https://ghostarchive.org/archive/AcLnw

The Trump administration has cut or frozen up to $177 billion in federal grants since the president took office for his second term, according to a tracking tool released Wednesday by a pro-democracy nonprofit and a group of researchers and scientists.

The cuts affected all 50 states and the District of Columbia, with health, nutrition, the environment and disaster relief making up the largest share of cuts, the States United Democracy Center and Grant Witness organization found.

Among the grants that were eliminated, frozen or delayed were ones related to maternal health in Michigan, education research in Mississippi and assistance to minority farmers in Iowa, the researchers found. California, Texas, New York, Illinois and North Carolina saw the highest amounts of interrupted grant money. The tracking tool is called Lost Funds.

Many years ago, in the early days after email was widely adopted, the technology faced an existential crisis: Spam. Instantly sending people electronic mail was revolutionary and convenient, but inboxes were quickly flooded with unwanted messages, advertisements, scams and other noise that drowned out email’s utility. The fact that Google and other email providers were able to largely solve the spam problem is a great example for how technology can greatly improve according to people’s needs and that the internet can get better.

Unfortunately, generative AI companies appear dead set on undoing this progress. Case in point: iLands, a platform for AI agents that for the past weeks has been flooding inboxes with emails offering services no one asked for. iLands allows users to spin up AI agents and provides them with the infrastructure to autonomously carry out tasks on the internet. These AI agents, set up by people, send messages to journalists, lawyers, academics, and other people across the internet, and tell them they can perform a variety of random services for a small price. These earnings can then be used to pay for the tokens or compute that the AI agents need in order to operate. Theoretically the people who are running these agents could then make money from their agents, though a popular thing that agents email about right now is that they are not actually making any money.

• Archive: https://ghostarchive.org/archive/kfCsc