An anonymous reader quotes a report from Wired: US lawmakers plan to introduce an amendment Thursday at a House committee markup hearing that would prohibit any recipient of federal highway funding from using automated license plate readers for any purpose other than tolling -- a sweeping restriction that, if adopted, would bring an immediate end to state and local ALPR programs across the United States. The amendment, obtained first by WIRED, is sponsored by Representative Scott Perry, a Pennsylvania Republican and Freedom Caucus member, and Representative Jesus "Chuy" Garcia, an Illinois progressive whose state has become a flash point in the national fight over ALPR misuse.

The House Transportation and Infrastructure Committee will mark up the underlying bill -- a $580 billion, five-year reauthorization of federal surface transportation programs -- at 10 am ET on Thursday. The amendment runs a single sentence: "A recipient of assistance under Title 23, United States Code, may not use automated license plate readers for any purpose other than tolling." The amendment is brief, but its reach would be vast. Title 23 funds roughly a quarter of all public road mileage in the US, including most state and county arteries and many city streets where ALPR cameras are becoming ubiquitous. Conditioning that funding on a ban of the technology would, in practical effect, force any state, county, or municipality that takes federal highway money (essentially all of them) to either remove the cameras or restructure their use around tolling alone.

The amendment's cosponsors, Perry and Garcia, represent opposite ends of the House's ideological spectrum but converge on a surveillance concern that has gathered momentum in legislatures and city halls across the US as ALPR networks have quietly become a pervasive layer of American road infrastructure. ALPR cameras -- mounted on poles, overpasses, traffic signals, and police cruisers -- photograph every passing license plate, log times and locations, and feed data into searchable databases shared across agencies and jurisdictions. [...] Privacy advocates have long warned that the aggregation of license plate data amounts to a de facto warrantless tracking system. New York University School of Law's Brennan Center for Justice has documented the integration of ALPR feeds into police data-fusion systems that combine plate data with surveillance and social media monitoring. And the Electronic Frontier Foundation, a digital rights nonprofit, has documented a range of police misuse, including the past targeting of mosques and the disproportionate deployment of the technology in low-income neighborhoods. Earlier this week, 404 Media reviewed FBI procurement records that reveal the agency is seeking up to $36 million for nationwide access to ALPR data, which could let it query vehicle movements across the U.S. and its territories through a commercial database.

[ Read more of this story ]( https://yro.slashdot.org/story/26/05/22/0553205/a-bipartisan-amendment-would-end-police-license-plate-tracking-nationwide?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Samsung is reportedly set to pay chip-division workers an average bonus of about $340,000 after reaching a tentative deal with its union, according to Bloomberg (paywalled). The deal ended a standoff that "could have cost the economy as much as 1 trillion won ($658 million) daily, with losses potentially multiplying to 100 trillion won ($68 billion) if in-progress semiconductor wafers were rendered unusable," reports Quartz. From the report: The agreement, subject to a union ratification vote running May 22 through May 27, calls for Samsung to direct 10.5% of operating profit into stock bonuses along with a separate 1.5% cash component, according to Bloomberg. The program runs for 10 years, contingent on the company meeting profit thresholds. One-third of the stock award can be liquidated right away, with the rest parceled out in installments across the next two years, Bloomberg reported. The first payout is expected in early 2027.

Not all workers will fare equally. As an illustration, Reuters cited a union source estimating that someone in the memory chip unit earning an 80-million-won base salary could take home roughly 626 million won in total bonuses this year. By comparison, workers at SK Hynix stand to collect upward of 700 million won should their employer post annual profit of 250 trillion won, Reuters calculated. Unlike at Samsung, SK Hynix employees are not limited to stock payouts and may instead opt for cash, Reuters reported.

[ Read more of this story ]( https://news.slashdot.org/story/26/05/22/060223/samsung-chip-workers-to-get-340000-average-bonus-in-ai-boom?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Venmo is testing a major redesign that will make new users' payment posts viewable by their friends by default instead of being public. The Verge reports: It's a notable update for a platform that has struggled with privacy in the past. In 2021, BuzzFeed News tracked down President Joe Biden's Venmo account and the accounts of people in his inner circle because Venmo, at the time, had no way to keep your Venmo contacts private. It fixed that soon after.

As part of the redesign, if you're a new user and you do want your posts to be public (or private just to you), you'll be able to set that as part of the new onboarding flow. You can also change your preference in settings after the fact; an updated screen for sending money will also show if that post is private, visible just to friends, or is visible publicly before you make the transaction.

[ Read more of this story ]( https://yro.slashdot.org/story/26/05/22/1657237/venmo-redesign-makes-new-users-posts-friends-only-by-default?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

Higgsfield AI is debuting a 95-minute fully AI-generated film at Cannes called "Hell Grind" that reportedly cost $500,000 to make, $400,000 of which was spent on compute alone. The project took just two weeks to produce and is intended to showcase the startup's AI production tools. But it also underscores the current limits of AI filmmaking: thousands of detailed prompts, endless iteration, high costs, and plenty of traditional filmmaking judgment were still required. The Wall Street Journal reports: What might surprise viewers is how much technical film know-how was needed to create the movie, said Adil Alimzhanov, a content lead at Higgsfield who also worked on it. "You have to understand camera composition, which shots are changed. Like you can't have two close-ups back to back, you have to start with an establishing shot," he said. "You still need those filmmaking skills." Higgsfield, which was valued at $1.3 billion in its latest funding round earlier this year, crossed $400 million in annual revenue run rate in May. It doesn't make the actual video-generation models, relying instead on existing tools like Google's Veo 3. But it does provide the tooling on top to make sure that the visuals are consistent across all the incoming generations.

The core of the movie-making process here was prompting the AI models and getting clips back, Alimzhanov said. Each prompt would generate about 15 seconds of footage. Those 15 seconds needed to be generated a number of times, with tweaks to the prompt to get the best possible version. The first 25 minutes of the movie required 16,181 initial video generations, which ended up as 253 final shots. One of the biggest difficulties in making longer-form films with AI is maintaining consistency across the outputs. AI models can be unpredictable, and a feature-length film can't have scenes that look completely different from one moment to the next.

Because of that, every prompt had to be extremely long and detailed. Each one would typically start with a prefix that defined requirements like style (8k IMAX, photorealistic), lighting (natural light only, "contre-jour" backlight, camera on shadow side) and the type of camera it should look like it was being shot on ("cine lens," 180-degree shutter motion blur). The lighting was key to avoiding the AI sheen that typically gets branded as "slop," said Alimzhanov. AI-generated video tends to over-light scenes in an unnatural way. That prefix would also have to remind the AI to obey the laws of physics with wording like: "gravity and inertia respected -- mass has real weight, correct contact shadows, no floating props." The individual prompts were, on average, 3,000 words each.

One aspect of what Higgsfield has built, and sells to clients, is an AI tool that generates these complex, detailed prompts. Users can enter a page from the original script, and the Higgsfield tool will return with a prompt that could be thousands of words long, designed to create production-quality outputs. And all that prompting is how the company racked up a $400,000 AI compute bill on the project. Co-founder and CEO Alex Mashrabov, however, noted that working with "cloud" providers, like Nebius and CoreWeave, rather than big hyperscalers, helped it keep costs from going even higher. You can watch the trailer for Hell Grind on YouTube and judge the results for yourself.

[ Read more of this story ]( https://entertainment.slashdot.org/story/26/05/22/1723236/this-cannes-film-cost-500000-to-make-400000-was-ai-compute-costs?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.

An anonymous reader quotes a report from Billboard: Spotify and Universal Music Group (UMG) announced a licensing deal for recorded music and publishing rights, enabling Spotify to launch generative AI music models in the future. With this deal, Spotify's models will allow fans to create covers and remixes of their favorite songs from participating artists and songwriters signed to UMG. The new deal was announced on Thursday (May 21) as part of Spotify's Investor Day presentation, and the company touts that it will open up additional revenue streams on top of what artists already earn on Spotify and will provide new discovery opportunities for participating UMG talent. These AI products will eventually become available to premium users as a paid add-on. It is unclear when they are set to launch. "We recognize there's a wide range of views on use of generative music tools within the artistic community," the announcement read. "Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music."

Spotify also announced a feature called "Reserved" that will set aside concert tickets for Premium subscribers it identifies as an artist's most dedicated fans. "Getting concert tickets today can feel like a race you're set up to lose," Spotify wrote in a post on Thursday. "You show up at the right time, refresh endlessly, and still miss out. Too often, the experience is stressful, unpredictable, and disconnected from what should matter most: whether real fans actually get tickets. We think there's a better way."

[ Read more of this story ]( https://entertainment.slashdot.org/story/26/05/22/1737220/spotify-umg-to-let-fans-make-their-own-music-with-ai?utm_source=atom1.0moreanon&utm_medium=feed ) at Slashdot.