The surveillance infrastructure tracking American drivers has grown far more sophisticated than most people realize. What began as simple plate-logging technology has evolved into AI systems capable of identifying faces, flagging unusual travel patterns and building detailed movement profiles — all without the knowledge of the people being watched. Companies such as Flock Safety now operate in communities across 49 states, and their data is accessible to thousands of law enforcement agencies, including federal immigration enforcement, according to civil liberties groups. State legislatures are among the few institutions actively writing rules around how these systems can be used, and what those rules say (or don’t say) have real consequences for your privacy on the road.
That raises a large question: What are the best privacy protection laws? I wanted to provide more details for anyone wondering what to support or what their state is currently doing. One challenge is that every state is different, and there’s no clear guide on what privacy laws work and which have flaws.
I spoke to Chad Marlow, senior policy counsel and lead for the American Civil Liberties Union’s surveillance work, to find the best examples. These laws are making the biggest difference in our privacy.
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“Collective action, rather than individual action, is required,” Marlow told me. “I would caution that while Flock is the most problematic ALPR company in America, there are many other ALPR companies, like Axon and Motorola, that present serious privacy risks, so switching from Flock to Axon/Motorola ALPRs at best may constitute minimal harm reduction, but it is far from a solution.”
Which of today’s laws are a better solution? This is a “throw everything against the wall and see what sticks” situation. Let’s talk about what’s sticking.
The best laws on the books for limiting new surveillance technology
The details matter when it comes to laws against surveillance.
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Current privacy laws focus on two recent capabilities of local law enforcement: ALPRs, or automatic license plate readers, that can identify and track cars, and drone surveillance equipped with AI cameras. Security companies, such as Flock, are also starting to offer more traditional cameras that can provide live views and track people from the ground.
With AI features like Flock’s “Freeform” technology that let police enter any type of search they like to see what cameras bring up, these are powerful tools, and new legislation is required to address them. Let’s go over several categories of laws that make a difference.
Laws restricting the use of AI detection features
Some of the broadest laws tackle what AI cameras are allowed to do at all. These laws don’t specifically target ALPR cams or drones, but they do limit the searches that police and commercial entities can make.
Illinois has long been the best example of these privacy laws with its BIPA, or Biometric Information Privacy Act that protects personal ID like fingerprints and facial data, and requires written consent if a company wants to use them.
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That law is so far-reaching that certain camera features like Google Nest’s Familiar Faces technology is completely blocked in Illinois, along with some of Flock’s recognition features. Cities can pass similar legislation, too: Travel to Portland, Oregon and you’ll find that certain facial recognition features won’t work there, either.
The one issue with laws like these is that they don’t include license plate and vehicle data, at least not yet. That information, which is closely tied to your name and address, needs to be protected by additional legislation or added onto existing biometric laws. So far, the former is more common: California is the only state I’ve noticed that now includes ALPR data as “personal information” for its privacy laws.
Laws that ban what details police cameras can see
States are also passing new types of laws that allow the use of ALPR cameras, but ban those cameras from being able to record and pass along personal information, or at least make that information confidential in some way — including Florida and New Hampshire.
These laws can ban cameras from seeing details like the people inside a car, for example, limiting them only to a license plate. Companies like Flock advertise the ability of their cameras to notice other descriptive details above a vehicle such as bumper stickers or roof racks, so laws like these can hamper the use of such AI detection.
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In a related note, states may add stricter authorization steps for police cameras. For example, rules that require the police chief to sign off on any search using ALPRs make it less likely that the data is misused when collected.
Police have free reign over AI searches unless constrained by laws and policies.
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Laws that limit the use of ALPRs to certain police activities
A number of states have created laws that allow the use of license plate and AI cameras, but only for specific purposes, such as ongoing investigations involving a murder or kidnapping. Some states have very strict limits on how these cameras can be used, while others have much broader descriptions.
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Laws like these keep ALPR cameras out of the hands of businesses, HOAs and similar organizations, who would otherwise be able to contract with companies like Flock Safety. They may also block cameras from being used in certain areas, such as on public highways.
Laws requiring that any data collected by cameras be deleted within a certain timeframe
One of the most effective surveillance laws for protecting privacy is the requirement to delete any footage caught by these cameras unless its actively being used in a confirmed investigation. That means police can’t make unauthorized searches or share that data with outside organizations after a certain time.
Laws like these also prevent police departments from creating long-term files about people they want to keep an eye on and note their routines and behaviors. As Marlow said, “The idea of keeping a location dossier on every single person just in case one of us turns out to be a criminal is just about the most un-American approach to privacy I can imagine.”
New Hampshire has the most stringent laws here, requiring the collected data to be deleted within 3 minutes if not used, a far shorter timeline than most, but one the ACLU agrees with.
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“For states that want a little more time to see if captured ALPR data is relevant to an ongoing investigation, keeping the data for a few days is sufficient,” Marlow told me. “Some states, like Washington and Virginia, recently adopted 21-day limits, which is the very outermost acceptable limit.” Marlow warned that the longer police keep this data, the easier it is to build patterns of life “that can eviscerate individual privacy.”
I’ve also seen states with laws that require ALPR data deleted after several years, but at that point it’s largely useless, as the data could easily be compiled and moved to other platforms by then.
Laws banning police from sharing data outside of the state
States like Virginia and Illinois have passed laws making it illegal to share any ALPR or related data outside the state, including with federal agencies. These laws are typically targeted at the Department of Homeland Security and ICE, which (along with the FBI and other agencies) have been known to request data from local police Flock cameras or be granted backdoor access to Flock search systems.
Laws that keep data from going out of state prevent that — as long as there are ways to track data transmission and enforce the law — which is difficult. “Ideally, no data should be shared outside the collecting agency without a warrant,” Marlow said, “But some states have chosen to prohibit data sharing outside of the state, which is better than nothing, and does limit some risks.”
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States like Minnesota have also added requirements to make ALPR searches public so that citizens can check what searches the police have made, an important step for accountability that’s still rare for this technology.
State laws are on the rise to limit the use of surveillance drones, too.
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Laws requiring state approval and office certifications for any ALPR camera
There’s another option to manage these high-powered cameras — subject them to an approval process by the state before contracts and installation. The tricky part is that approval process can look completely different depending on the state.
Vermont, however, enacted a series of laws to create a lengthy approval process to ensure ALPR cameras could only be used in certain circumstances and that the data was tightly controlled. This approval process was so thorough that local organizations decided to pass altogether: By 2025, no law enforcement agency in the state was using ALPR cams.
Laws requiring warrants before launching surveillance drones
In the past year, I’ve seen a new concern on the rise in neighborhoods in addition to ALPR cameras. There are now surveillance drones equipped with cams that can recognize vehicles or human features (beards, hats, shirt colors and so on) and follow people automatically. Those have required a further set of laws to address.
States including Alaska, Idaho, Utah and Texas have laws specifically requiring a warrant before drones are used for surveillance. Technically, this should prevent the use of Flock’s automatic drone launches for things like gunshot detection or 911 calls, but local law enforcement appears to have found ways around these laws due to exemptions and other loopholes.
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It’s worth noting my state nearly nuked its drone warrant requirements with new legislation in 2025, which ultimately failed to pass, a reminder that the rules are always up for change.
Keep an eye on the legislation in your state
State legislation can change, be repealed or added onto — and the details are important.
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New laws are subject to frequent challenges, including companies such as Flock or local police departments outright ignoring them. That requires extensive legal action to address and a buildup of case law that can take years, not mention methods of investigation and enforcement by the state that may not currently exist.
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Proposed legislation can also be subject to many changes, even if it’s likely to be passed, so the details can shift. That means if you want to see specific bans or privacy requirements in your state, you should track ongoing legislation as it passes through approval stages, and continue to contact your senators and representatives.
If you’re not sure what’s in a law, it’s important to read it carefully or find analysis by a legal expert to learn more. Many lesser laws I didn’t include on this list have lots of carveouts, exceptions and latitude in how surveillance cameras can be used, rendering them fangless for privacy purposes.
But that’s not all you can do. I’ve also seen the rise of advocacy initiatives like The Plate Project from the Institute of Justice that you can join, contribute to or just read up on to do more. And don’t forget about the local level — voicing concerns at a city council forum could help limit surveillance contracts before they even begin.
Who else is feeling physically sick every time they tune into Half Man? That’s testament to Richard Gadd’s incredible character creation, but my word is Ruben absolutely vile.
As we’re finding out, the show follows brothers Niall (Jamie Bell) and Ruben (Gadd) through 30 years of their lives, exploring the highs and lows of their turbulent relationship. Frankly, “lows” is putting things politely.
Things will probably get worse than what we’ve already seen. But when will Half Manepisode 4 be released on HBO Max and BBC iPlayer?
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What time can I watch Half Man episode 4 on HBO Max and BBC iPlayer?
Five-year-old European military drone startup Helsing is reportedly close to raising a new $1.2 billion round at about an $18 billion valuation. The round is expected to be led by Dragoneer and co-led by existing Helsing investor Lightspeed, the Financial Times reported.
Helsing last raised just under a year ago, in June 2025, in a deal that was led by billionaire Spotify founder Daniel Ek. That was a €600 million investment at an estimated €12 billion valuation ($14 billion USD). So this new round is a step-up.
While Helsing isn’t the only European unicorn defense tech, it is by far the one that investors deem the most valuable. For instance, German drone maker Quantum Systems raised €180 million in November, which valued it at more than €3 billion. And a year ago, Lisbon-headquartered Tekever raised £400 million at a valuation above £1 billion. Amid Russia’s ongoing war in Ukraine, the proving ground for new technologies, autonomous defense startups have become a hot area for VCs.
Helsing, Dragoneer, and Lightspeed could not be immediately reached for comment.
Starbucks headquarters in Seattle. (GeekWire Photo / Kurt Schlosser)
A new filing with Washington state shows that Starbucks’ recent job cuts will impact 61 tech jobs at its Seattle headquarters. The Seattle Times first reported on this round of layoffs in April, citing an internal message that did not include the number of roles, their location or specific job titles.
The layoffs are the result of “a reorganization of the technology department at the Starbucks Support Center,” the letter states. The cuts take effect between June 20 and Aug. 28.
The Worker Adjustment and Retraining Notification (WARN) letter states that the affected roles include cybersecurity analyst, technical product manager, systems analyst, systems administrator, scrum master and architect. Employees at the director and manager levels are among those being let go.
The tech department shake-up also follows the hiring of Anand Varadarajan as chief technology officer in January. He joined the coffee company after 19 years at Amazon, where he most recently led technology and supply chain for its global grocery business.
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In a September filing with the U.S. Securities and Exchange Commission, Starbucks warned that it needed to keep improving its marketing, data analytics and AI tools or risk losing consumer interest and market share.
The tech sector has seen a wave of layoffs in recent months, including cuts in the Pacific Northwest impacting Amazon, Meta, Microsoft, Expedia Group, T-Mobile, Oracle, Zillow and others. Companies generally frame the cuts as a mix of post-pandemic restructuring, tighter cost discipline, and a shift of resources toward AI and other strategic priorities.
Apple’s macOS 26.5 has been released, delivering a quiet update focused on stability, subscription changes, and system-level improvements rather than new user-facing features.
The release arrives without major additions across the interface or built-in apps. macOS Tahoe 26.4, which shipped on March 24, 2026, introduced visible updates across apps and system features, while version 26.5 shifts attention to compatibility and platform work.
Mac users shouldn’t expect a major shift after installing it. Apple uses the release to support new App Store billing options and refine system behavior without changing how macOS works day to day.
macOS 26.5 is build number 25F71.
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Maps ads expand to macOS in a broader services push
Apple has expanded ads in Maps to macOS as part of the same rollout across its platforms. Ads now appear at the top of some search results and sit alongside standard listings, which changes how locations are surfaced without altering navigation tools.
Suggested Places also appears in Maps and highlights nearby locations based on trends, recent searches, and local activity. Results no longer rely only on relevance and proximity, as paid placements can influence what appears first.
Apple uses the change to extend its advertising model into local search on the Mac. Ads are clearly labeled and rely on signals like search terms and location instead of user profiles.
App Store subscription changes carry over to macOS
Apple’s new subscription model reaches macOS with the 26.5 release. Developers can offer monthly payments tied to a 12-month commitment in most regions, excluding the United States and Singapore.
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Users get pricing that usually matches discounted annual plans without paying for a full year upfront. The model still commits subscribers to 12 monthly payments once a subscription starts, even though the price appears as a monthly plan.
Subscribers can cancel at any time, but service continues until all committed payments are completed. Account settings show completed payments, remaining payments, and renewal timing, which makes the commitment clear over time.
Developers gain a more predictable revenue stream while presenting pricing as a lower monthly cost. Monthly billing doesn’t provide monthly flexibility under this model.
macOS 26.5 focuses on under-the-hood improvements rather than visible changes across the interface or built-in apps. Apple directs the release toward stability, compatibility, and updates that support how apps run and interact with the system.
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Safari and core system components receive updates that improve reliability and behavior in everyday use. These changes help reduce bugs and inconsistencies without introducing new features that users can see directly.
macOS 26.5 follows macOS 26.4 as a quieter release with a narrower purpose. Most users will see an incremental update that keeps the Mac current rather than changing how it looks or behaves day to day.
There are some major portable power station deals over at Amazon right now. I’ve selected 7 that are worth exploring, although there’s one truly stand-out deal right now.
The one that really caught my eye is the Bluetti Elite 300 that’s now $1099 (was $1499). That’s a major discount on a heavy-duty unit with a 3014Wh battery capacity. After testing out the Elite 300, we found it “powerful, flexible and impressively rugged.”
Now, we did find it pretty heavy to carry – it’s stretching the definition of ‘portability’ to the limit. But it really impressed us. At the time, we called it “a mobile power solution. Compared to smaller power stations, it opens up entirely new possibilities: cooking proper meals, running tools, and living comfortably off-grid.”
Speaking at Sequoia Capital’s AI Ascent event last May, OpenAI CEO Sam Altman said young people were using ChatGPT like an operating system for life — not just for productivity, but for major personal decisions.
“I mean, that stuff, I think, is all cool and impressive,” Altman said. “And there’s this other thing where, like, they don’t really make life decisions without asking ChatGPT what they should do.”
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At the time, the comment sounded provocative. A year later, though, ChatGPT has become something closer to a therapist, life coach, confidant, and companion for many of its users. Now OpenAI is building an actual emotional-support infrastructure around the chatbot with a feature called Trusted Contact.
The feature is still rolling out, so Trusted Contact is not available to everybody yet, but to find it, you click or tap on your profile name in ChatGPT, then look in Settings. You can nominate a trusted adult contact, who must accept the role before the feature becomes active.
If ChatGPT’s automated systems detect conversations that may indicate a serious risk of self-harm, the user is warned that their Trusted Contact could be notified and encouraged to reach out themselves first.
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A specially trained human review team then assesses the situation before any alert is sent. If reviewers believe there is a genuine safety concern, the Trusted Contact receives a notification by email, text, or in-app alert encouraging them to check in.
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OpenAI says the alerts do not include chat transcripts or detailed conversation history in order to protect user privacy, and you can remove or change your Trusted Contact at any time.
Being contacted by the Trusted Contact feature in ChatGPT on an iPhone. (Image credit: OpenAI)
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Reassuring or unsettling?
OpenAI says Trusted Contact was developed with input from mental-health experts, suicide-prevention specialists, and a global network of more than 260 doctors across 60 countries. Taken together with all the parental controls that OpenAI has already introduced and the safety guardrails already in place, Trusted Contact is another sign that the company is acknowledging that ChatGPT is something that can affect users emotionally, not just technologically.
The recent product announcements from OpenAI have really played down the use of ChatGPT as a confident, and emphasised ChatGPT’s productivity focus more, particularly regarding the Codex tool for creating code. Yet at the same time, more and more safety features aimed at ChatGPT users’ emotional well-being are being added.
The idea that we are now being monitored by ChatGPT is also concerning to some. When my colleague Becca Caddy recently interviewed Amy Sutton from Freedom Counselling for an investigation into AI monitoring tools in the workplace, she noted that knowing you’re being monitored by your AI, especially in the workplace, could actually worsen the problem it’s trying to solve. Sutton commented, “With mental health stigmas still rife, AI observation would likely lead to greater efforts to hide evidence of struggles. This could create a dangerous spiral, where the greater our efforts to hide low mood or anxiety, the worse it becomes.”
Whether Trusted Contact feels reassuring or unsettling probably depends on how you already see AI and ChatGPT. But the feature is another example of how AI companies acknowledge that their products are not just tools for productivity and information, but as systems people may increasingly rely on emotionally during some of the most vulnerable moments of their lives.
Full motion racing simulators deliver that stomach-dropping feeling of speed and cornering, yet most setups carry prices that put them out of reach for regular players. Researchers saw an opportunity in the growing number of humanoid robots already available in some homes and labs. Their solution carries the name HumanoidTurk and centers on a Unitree G1 robot that sits right behind whoever is playing.
Players simply sit on an ordinary chair, put on a VR headset, and launch Assetto Corsa on their computer. There are little balls on the chair that the robot uses to track its exact position with a depth camera installed on it. The game then feeds real-time force data, such as acceleration, braking, and turns, to the robot. Hands on the back of the chair, the robot then moves the seat forward, backward, or side to side to match those forces exactly.
Most Comfortable And Relaxing: Equipped with headrest and lumbar pillow. When your neck feels sore from gaming or working with head down for a long…
More Stable Than Others: Common gaming chairs are equipped with plastic legs generally to save costs, but we still insist on applying the same…
Liberate Your Feet: Will you feel tired for sitting all the time? Sure. Then you can choose the chair with footrest to relax your feet. When you…
Testing helped the team determine that applying a filter to smooth out the game signals was the best method to minimize jarring or jerky motions in the robot. In a bigger study 16 people took part, comparing 4 different setups. Some simply drove normally, receiving no further feedback. Others used just the game controller for some vibrations. One group had the robot moving the chair in sync with the controller input, while another had a person just shifting the chair for them.
People rated the overall quality higher in both practical and fun aspects. Nonetheless, the robot’s continual changes made some feel fatigued after prolonged sessions. A few people reported that the increased motion in the VR headgear made them feel more uncomfortable. This approach means people who already own a compatible humanoid robot gain access to advanced motion feedback without buying separate expensive hardware. Limitations exist, of course, especially around comfort during extended play. Even so, the project points to fresh ways humanoids can serve in entertainment beyond their usual tasks. [Source]
DubHacks Next Batch 5 founders at Demo Day on May 7 at the University of Washington. (DubHacks Photo)
Senior engineers are retiring faster than companies can replace them, creating a widening expertise gap in industries from aerospace to nuclear energy.
Hera, a project developed by University of Washington students, is aiming to address the issue with technology that automates the design of parts that meet safety and industry rules, a process that normally requires many years of knowledge and experience.
The product is timely, as 1.9 million manufacturing jobs are expected to go unfilled in the $2.3 trillion sector by 2033, according to Deloitte.
“Hera answers design questions 10-times faster than a senior engineer,” said Meera Patel, co-creator of Hera. “Once it knows the drawing can be manufactured, it pulls data from all your machines and gives you an exact production plan.”
That’s one of several problems University of Washington students tackled through DubHacks Next, a 16-week startup incubator. On Thursday, May 7, student founders pitched 20 startups hoping to turn their ideas into viable companies.
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Since 2022, DubHacks Next has spurred 68 startups and at least 25 active companies. Participants get access to free workshops, mentorship sessions, customer discovery meetings and networking with potential investors.
This year’s batch of 20 startups includes AI salon receptionists, a student subleasing platform and an emotional recovery app.
“I’ve never had the experience of building such a large-scale idea and bringing it to life,” said William Pantel, co-developer of Catalvst, an AI audio plugin builder.
The incubator’s past projects have raised more than $5 million collectively, with alumni going on to join accelerators such as Y Combinator and Techstars or land jobs at major tech companies.
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Starting this year, students could apply to join the Pack Ventures portfolio, including $50,000 up front and $150,000 when another firm buys in.
Hera co-creators Meera Patel and Noelle So pitch their manufacturing automation tool at DubHacks Next Demo Day. (DubHacks Photo)
Patel and Hera co-creator Noelle So are among the students working with Pack. The demo is now live in three production plants, Patel said.
Here are more standouts from this year’s batch:
Chameleon: For the 1.3 billion people living with disabilities worldwide, nearly 96% of the internet’s top homepages are considered inaccessible. Enter Chameleon, an AI-powered web accessibility tool suite.
The suite includes a Chrome extension with tools like focus rulers, voice commands and head-tracking controls for accessible web navigation on any site, say co-founders Aditya Shirodkar and Ajit Mallavarapu.
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“Especially with vibe coding, people are quick to develop software and don’t think about accessibility needs,” Shirodkar told GeekWire. “It’s a silent barrier that isn’t really addressed.”
Chameleon is entering a market with growing need – and financial opportunity. The global digital accessibility market is estimated at $1.8 billion, and is projected to reach $3.2 billion by 2034, according to Straits Research.
“It’s not just about making something cool,” Mallavarapu said. “It’s about making something people will actually use every day.”
Iris: Sthiti Patnaik and Saachi Dhamija focused on another technological headache: spreadsheets.
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Universities often rely on sprawling spreadsheets to track alumni for fundraising, networking and event planning, but records quickly become outdated and difficult to search. With Iris, alumni associations and other groups can more easily maintain member databases.
“We ingest their spreadsheet, then present it in a more visual format with bubbles and graphs,” Dhamija told GeekWire.
Along with data enrichment and interactive visual mapping for organizers, Iris helps members discover one another through shared experiences and interests. Patnaik, a recent graduate and managing director for DubHacks Next, hopes the solution will help her stay connected to other founders.
“All of our alumni go on to do really fantastic things, such as raise money, start their own startups, or work at really great companies,” she said.
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After presenting Iris, Patnaik and Dhamija landed a design partnership with Pack Ventures.
Catalvst: For Aaron Li and William Pantel, the incubator became a launching pad for Catalvst, what may be the first-ever AI audio plugin builder.
High-end audio plugins – software tools that shape and manipulate sound – can cost music producers hundreds or even thousands of dollars. Li, who began producing EDM three years ago, said software costs have delayed his progress.
“I remember working all summer just to save up,” he said. “It’s a domino effect. You get one piece of software, and realize there’s another one you need that’s super expensive.”
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With Catalvst, users can describe the sound they want in plain language and generate downloadable, working audio software in under a minute.
“If you’re like, ‘I want my songs to sound like I sing them in a cathedral,’ it’ll create software that makes your song sound like that,” Pantel said.
The founders distinguish their product from AI-generated music platforms, emphasizing that their goal is to empower human creators rather than replace them. They’re currently beta testing with music producers to refine the product and grow its user base.
“We’re using AI to build tools human producers can use,” Pantel said.
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Applications for the incubator’s sixth batch open this fall.
Other Batch 5 startups:
BeamBell: AI salon receptionist | Arvin Hakakian, Anant Dhokia, Aur Shalev Merin
European diesels can be had at both ends of the spectrum; there are magnificent ones like Audi’s 12-cylinder, and catastrophic failures like Land Rover’s inline-six. Over here in America, we tend to associate diesel engines almost exclusively with trucks and heavy machinery, but Europeans have been doing things a little differently for the past three decades or so. It’s not uncommon at all to see a diesel-powered sedan or hatchback on the continent, although newer models in the region are gradually ditching diesels too.
Aside from the cultural acceptance of diesels in Europe, there were also emission laws so strict that CARB — the reason why you can’t get the new Hemi V8 in some states — would be put to shame by comparison. As a result, the amount of innovation in European diesel engines was much higher, and that’s why we got some truly spectacular engines out of it. And it’s not like these were three-cylinder econobox engines either; the Germans were busy stuffing V10 diesels into anything they could get their hands on, from a family SUV to an executive sedan, and pretty much everything in between. But where there’s trial and experimentation, there’s also error. So it is with Euro diesels, because we also got some real dogs along the way, two of which we’ll cover here. One was subjectively the worst engine from a brand already famous for unreliability, and the other treated timing chains like a consumable item.
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Best: Audi 5.5 V12 TDI
First up, a V12 from Audi, which is one of the many car brands that Volkswagen owns. The Volkswagen group had made many legendary diesels at the time, including a V10 for the Phaeton and Touareg, and a V12 diesel for the Q7. For the V10 production version, the final unit ended up being a five-liter engine, with the TDI suffix indicating that it used diesel injection. The cars it powered were the Phaeton, where it made 313 hp and 553 lb-ft of torque, and the Touareg, where the final power output stood at 310 hp and the same torque.
As you can imagine, these cars were blisteringly quick, with the Touareg managing a 0-60 mph time of an estimated 7.5 seconds. Later on, Audi would make their own V12 diesel engine for their Le Mans LMP1 race vehicle. This car, called the Audi R10, got a 5.5-liter version of the engine, but with 12 cylinders making 650 hp and 811 lb-ft of torque, and to say that the Audi dominated the next season would be an understatement.
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With its newfound diesel powertrain and 12 cylinders, the electronically limited Audi R10 LMP1 romped home to victory in several races, and even took home overall victories at Le Mans three times. In doing so, the Audi R10 became the first diesel car ever to win Le Mans — and it ran on biodiesel.
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Best: BMW M57
While BMWs don’t exactly have the best reputation when it comes to reliability — we’ve all seen the oil leak and check engine light jokes online — the BMW M57 diesel is an exception. The engine was a three-liter, six-cylinder unit with the cylinders arranged in an inline configuration, and it came with turbochargers as well, of course. BMW has had a long history of making diesel engines even for passenger cars, such as the widely used M47 and B57, though these are not considered as reliable as the M57 that we’re looking at.
It was first released in the U.S. for the 2009 model year, though it had been in production since 1998, and the U.S.-spec version made 265 hp and 425 lb-ft of torque. It was offered in many mainstay models from BMW, initially in the 335d sedan and the X5 SUV. In the 335d, which is arguably the most famous of the models we just listed, the M57 could push the car from 0-60 mph in about 5.7 seconds and gave the car the ability to run the standing quarter-mile in 14.2 seconds.
While somewhat average by modern standards, remember, this was back in the late 2000s, when even supercars like the Aston Martin Vantage had 0-60 mph times of around 4.7 seconds. With all that said, there are certain years where the BMW M57 diesel engine should be avoided, but overall, it was a pretty solid option that delivered on all fronts.
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Best: Volvo D13
There aren’t many people who’ve heard of the Volvo D13, but if you’ve ever bought anything from Europe, there’s a decent chance part of its journey involved a truck powered by a Volvo D13. Widely considered to be the best truck engine that Volvo has made — though there have been newer versions released at the time of writing — the D13 has powered trucks like the Volvo VNR, VAH, VNL, and VHD, all of which are part of Volvo’s North American lineup. Displacing a herculean 12.8 liters across six inline cylinders with a bore of 131 mm and a stroke of 158 mm, this 2,635-lb engine is primarily a diesel variant that makes between 1,450 and 1,900 lb-ft of torque at a relatively low 900 RPM.
This is in addition to a maximum power output of 500 hp, with peak hp available at 1,300 RPM — and while the utility of this power would largely be dependent on the choice of transmission in the truck, it’s still impressive nonetheless. As with many truck engines, there are different power ratings available, with the lowest variant of the D13 coming with 405 hp and 1,450 lb-ft of torque, while the top-of-the-line variant makes the aforementioned 500 hp and up to 1,900 lb-ft of torque.
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Also, we said “primarily” a diesel variant because there is also a very similar engine from Volvo called the D13-LNG that runs on natural gas, which is generally understood to be a cleaner fuel source than diesel.
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Worst: Land Rover 2.0 Ingenium
Widely considered to be the worst Land Rover engine ever made by experts and users alike, the 2.0 Ingenium was introduced to the world in 2015. The inaugural version was used to power the Jaguar XE, though it was later also slotted into the Land Rover Discovery Sport and Range Rover Evoque. The displacement is two liters across four cylinders , and is turbocharged. On paper, the 2.0 Ingenium is quite powerful, making at least 197 hp along with 236 lb-ft of torque, though models with higher power outputs are available.
In real life, however, everyone — from end users to industry experts — has a laundry list of woes. First up, there are reliability concerns that are too numerous to name, but the big and unfortunately common ones are oil dilution, timing chain breaks and rattles, and the turbos flat-out failing. However, the silver lining in there’s the fuel economy; the Discovery Sport with the 2.0 Ingenium diesel engine netted a 58 mpg figure on launch in 2015, according to Land Rover. Note that the European fuel economy measuring test (NEDC at the time, WLTP today) is different from the EPA system used in the U.S., so the readings aren’t exactly the same.
And lastly, mechanics seem to dislike working on the engine too, complaining about things like component placement and the engine generally being troublesome to work on. All of the above, coupled with the frequent breakdowns, make it one of the most horrible things to come out of Land Rover.
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Worst: BMW N47
Where the BMW M57 that we looked at above was a star, the four-cylinder N47 that made between 94 and 215 hp was the complete opposite. It first entered BMW’s lineup in 2007, where it remained until 2014, marking a production span of about seven years, but it’s easy to see why the engine was quickly discontinued. For starters, let’s first say that the selling point for the N47 was its efficiency; in the 2009 BMW X1, it was able to net an impressive 48 mpg combined fuel economy figure across city and highway driving. Again, the European testing methods would differ from the EPA’s methods, so bear that in mind.
However, this was an engine that treated its timing chains like a consumable item. Furthermore, like many other BMW engines the timing chain is located at the back of the engine bay. As such, when something goes wrong that needs a timing chain replacement, the labor is prohibitively expensive and time-consuming.
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Other issues that plague the N47, albeit to a lesser degree than the timing chain woes, include premature turbocharger failure, high oil consumption, and a whole suite of problems with the EGR, or exhaust gas recirculation system. To be clear, we’re not saying that it’s inevitable that the N47 will be a dog, but it’s highly likely that maintenance bills for this engine will be higher than usual. Unless your heart is really set on one, it’s probably best to go with another option.
More than 4,000 Hollywood insiders recently signed a letter blasting Paramount’s planned $111 billion merger with Warner Brothers, noting that the massive consolidation will be very historically harmful to labor, consumers, and creatives. That’s a very correct observation, especially as it relates to Warner Brothers, which has never been involved in a merger that didn’t result in mass layoffs, higher prices for everyone, and a significantly shittier overall product.
Now a coalition of press groups, including Freedom of the Press Foundation (FPF) and Reporters Without Borders, are pressing Paramount regarding “potentially corrupt acquisitions and deals” they argue could undermine shareholder value by degrading the (already sagging) quality of journalism at CBS News and CNN, while “relinquishing editorial control of major news outlets to the Trump administration.”
The journalism groups make the point that the Ellison family effort to turn CBS into a Trump and Netanyahu-friendly agitprop machine has been disastrous for the company’s share price. And because both organizations are technically shareholders, they’re demanding deeper access to the Paramount books to see what other dodgy bullshit may not have been revealed yet:
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“Since Paramount Skydance announced its most consequential Trump-friendly changes at CBS News in October — acquiring The Free Press and appointing Bari Weiss as editor-in-chief — the company’s market capitalization has decreased by 40%, wiping out more than $8 billion in shareholder value. Ratings for key programs, like “CBS Evening News with Tony Dokoupil,” have also dropped precipitously. Freedom of the Press Foundation and Reporters Without Borders, which are both shareholders in Paramount Skydance Corp., are entitled to inspect the company’s books and records related to these developments under Section 220 of the Delaware General Corporation Law.”
They’ve given Paramount five days to respond to their request for more documents and data related to any promises Paramount may have made the Trump administration. I’m not convinced the gambit will go anywhere, but it’s nice to see these kinds of groups (historically absent from many of these fights) suddenly paying closer attention to media consolidation.
Larry Ellison’s interests here are two-fold. He wanted to gift his nepobaby son David with two major Hollywood studios so David can pretend he’s a very big boy doing very serious things. But he’s also keen on dismantling what’s left of journalism at places like CBS News and CNN (already reeling from years of corporate cowardice) turning them into right-wing friendly agitprop mills that are even more friendly to his favorite autocrats (Trump and Netanyahu).
You’ll recall Bari Weiss sold herself to Paramount as an expert who could modernize CBS News through virality and mass audience appeal (despite having no actual experience in journalism). But Weiss, who got her start at the helm of a strange contrarian troll blog, has the instincts and ideas of a 90 year old man, and clearly isn’t capable of generating watchable propaganda in any ratings-grabbing way that actually appeals to anyone (even MAGA folks, who already have no limit of agitprop options).
The Trump administration will certainly rubber stamp the deal. Paramount will likely keep this effort locked up in the courts indefinitely. And the Democrats’ demand for the FCC to investigate the dodgy Chinese and Saudi financing propping up the deal isn’t likely to go anywhere. That leaves a collaborative looming lawsuit by state AGs as the most likely path toward ensuring this deal never gets off the ground.
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But even if the deal gets approved, this giant company’s long-term survival is far from guaranteed. Especially given the shaky state of Hollywood, the steady enshittification of streaming, and the fact that there’s very little evidence that the any of the Paramount folks are competent.
There’s a very high likelihood that the combination of Paramount’s massive debt load from both the CBS and Warner deals– and fleeing audience (either bored by bad product or disgusted by the companies’ Trump allegiances) — combines with Larry Ellison’s over-extension on AI to result in some very precarious financial footing.
These major media deals always go terribly for consumers and labor, but execs often benefit from tax breaks, temporary stock boosts, and compensation in no way dictated by competency (see: CEO David Zaslav). But this series of deals is so massive and problematic, it could generate some very significant pain for the extraction class, and make all past merger disasters seem adorable by comparison.
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