An anonymous reader shared this report from the Associated Press: Officials in Kansas City, Missouri, are preparing to equip cameras on some public buses with facial recognition software capable of identifying passengers who appear on a list of banned riders or missing persons. Supporters and opponents alike view the effort as a major litmus test for tapping the AI-powered software on a U.S. public transportation system, positioning Kansas City as the latest epicenter of a fierce debate over whether the safety benefits of artificial intelligence are worth the privacy costs.

"The idea of running face recognition on a camera that is pointed on live spaces in public is a line that until recently has never really been crossed in the last 25 years," said Jay Stanley, senior policy analyst for the Project on Speech, Privacy and Technology at the American Civil Liberties Union. The state of Missouri declined to help fund the project as expected due to concerns with the facial recognition component. Still, the city is pushing ahead with local and federal money, said Tyler Means, chief mobility and strategy officer at the Kansas City Transportation Authority. "Privacy is always a tricky thing," Means said. "We've always had cameras on our buses. It's just new technology. I think in time it'll smooth over and people will realize, 'Well, it didn't really feel any different'...."

Images captured by cameras aboard the buses would immediately be checked against any active alerts, generated when a missing person, banned rider or someone on a law enforcement watch list designated by the transportation authority is identified... After the buses return to the depot, the transportation authority would archive the regular video footage on a local server for up to five years.
The company partnering with Kansas City to run the cameras "started using live facial recognition years ago to alert nursing homes when residents left the building," according to the article, and then "brought the technology to correctional institutions and schools." But this is its first attempt at bringing its cameras onto public transportation.

The article also includes this quote from Will Owen, communications director for the Surveillance Technology Oversight Project. "City residents should not be guinea pigs for transit systems to test Silicon Valley's latest unproven, biased surveillance tech."

In January a college student posted a video showing him winning $100,000 on Polymarket — one of 145 that appeared to show bets adding up to almost $410,000, reports the Wall Street Journal. "But none of those bets were real."

Instead its creator was "one of dozens of mostly college-age creators Polymarket paid to film themselves making fake trades and sometimes scoring fake wins," the Journal reports, citing interviews with the creators an an analysis of more than 1,100 of their videos: Polymarket built near-perfect copies of its website, then instructed creators to make simulated trades on those dummy sites and hide that they were being paid by Polymarket. To get the videos to go viral, Polymarket has recruited a social-media army to copy and re-post creators' footage. Though the New York-based company has been banned from offering its primary crypto platform in the U.S. since 2022, the social-media creators are paid to specifically target U.S. users, who can still access the site with a virtual private network...

Polymarket hired and worked closely with a marketing contractor to promote the site. In a message reviewed by the Journal, that contractor told its social-media army to repost content made by 10 Polymarket creators in particular... These creators didn't initially identify themselves as paid by Polymarket, although one offered a $20 bonus code in his social-media bio... The company instructed creators not to disclose they are paid, according to creators who have worked with the company. They said the pay often added up to $2,000 to $3,000 a month...

A handful of videos the Journal reviewed also contained short glimpses of URLs indicating the sites were test environments for Polymarket engineers... Creators said they send the finished videos to Polymarket for review. If a video isn't engaging enough, or if it bears obvious signs of being faked, Polymarket will ask for the videos to be reshot, the creators said... Polymarket sends creators bullet-point guidance on what to say, according to creators who have worked with the company and a recruiting website... Polymarket's viral clipping campaign racked up more than 140 million views on TikTok, YouTube and Instagram, according to the analytics provider Tubular...

Internal materials show that Polymarket and Virality promote videos showing how easy it is to conduct insider trades on the platform. Polymarket has paid clippers to promote at least 19 videos discussing opportunities to use inside information or other tactics to manipulate markets.
America's advertising laws "require people who are paid to endorse a product to disclose their ties," the article notes, "although there is some gray area about what's permitted." (After the Journal's investigation, the creators started adding "@polymarket partner" to their bios, the article points out._ And when asked for a comment, Polymarket "said it plans to conduct a comprehensive audit of active promotional content."

The gaming news site Aftermath reports: Four gamers are suing Sony Interactive Entertainment for allegedly breaking a California law that requires digital storefronts selling games to make it clear people are buying licenses, not actually owning the games.

Sony Interactive Entertainment's PlayStation store uses language like "Buy Now" and "Confirm Purchase," lawyers wrote in a complaint filed on Thursday... "In reality, consumers who 'purchase' digital games through PlayStation do not obtain ownership of those products," lawyers wrote. "Instead, PlayStation grants only a limited, revocable license to access the software, subject to multiple restrictions contained in a separate Software Product License Agreement"....

[T]he PlayStation store does have a disclosure. Above the "Confirm Purchase" button, there's a note: "By selecting [Confirm Purchase], you agree to complete the purchase in accordance with the PlayStation Terms of Service before using this content. You further acknowledge that your purchase of this digital product amounts to a license subject to the Software Product License Agreement." These four gamers aren't satisfied with that; they said in the complaint that it's too small, and that "a reasonable customer completing a purchase would not necessarily notice this disclosure."
"It's a proposed class action complaint, meaning the group of four gamers is asking a judge to grant them class action status."

The Wall Street Journal reports on internet-connected devices — and how every year millions of them "can contain a secret digital backdoor that opens up access to your home internet, so that anyone... can surf the web as if they were you." (And this is especially true for "knockoffs that you buy online"...)

In a video report this week they tested two digital picture frames from Amazon and three streaming devices from Walmart "because we heard that they often ship with backdoor software used in cyberattacks. Security experts believe manufacturers are being paid to add this malware, but many people also get tricked into downloading the software onto their phones or computers... Within minutes of turning the devices on, there was a surge of internet traffic... Visits to gambling, porn, cryptocurrency and loads of other sketchy web sites started pouring in from users around the world." (And remote visitors also tried to access Outlook and Gmail accounts...)

Residential proxy companies even rent out access to "tens of millions of home networks around the world," according to the report. "But the problem is actually worse than that. Hackers figured out a way to seize control of these backdoors, and they started taking over these residential networks. Last month authorities arrested a 23-year-old Ottawa man, saying he'd taken control of more than a million devices to launch some of the largest cyberattacks anyone had ever seen.."

After a couple months the Journal's reporter collected logs of all the traffic, and sent it to an investigator at Comcast, who said both were conducting DDoS attacks. But estimate for the number of infected devices are as low as tens of millions or as high 500 million-plus. "We've seen nation state attacks launched through these kind of endpoints, which means your device sitting in your house is part of a nation state attack against another nation state... We've seen ad fraud, we've seen ticket scalping, we've seen financial fraud."

But more importantly, "We have seen some of the largest computer attacks — meaning computers attacking other computers at human request — ever recorded in our digital history in the last several months." At cybersecurity conferences, some are warning "there are much larger ones on the horizon if we don't get a hold of this problem."

The company making the picture frame "couldn't be reached for comment," while Amazon said it's been out of stock since last year. Both Amazon and Walmart said they take action when they confirm malware on a third-party product.

This week OpenAI announced a 750-task test to to measure "whether AI systems can support realistic life science research tasks, not just answer biology questions."

But while OpenAI's top-performing GPT-Rosalind model led the rankings, Slashdot reader BrianFagioli notes that "it achieved a pass rate of just 36.1 percent, failing nearly two-thirds of benchmark tasks." Nerds.xyz points out that means "the best-performing model failed nearly two-thirds of the benchmark's tasks." The benchmark also revealed a familiar weakness. AI systems generally perform better when everything is presented as text. Once they are forced to work with supporting documents, figures, or complex datasets, performance drops noticeably. GPT-Rosalind's pass rate fell from 45.1 percent on text-only tasks to 28.1 percent on tasks involving artifacts or URLs.

To be fair, the benchmark is not intended to suggest AI is useless in research. Quite the opposite. OpenAI found that models are becoming increasingly capable of scientific communication, evidence synthesis, and translating research findings into practical explanations. Those are valuable skills, particularly for researchers drowning in information. But LifeSciBench serves as a useful reminder that today's AI systems are still far from autonomous scientists. They can help. They can assist. They can sometimes provide surprisingly useful insights. What they cannot reliably do, however, is replace the expertise, judgment, and skepticism that real scientific research requires.

Long-time Slashdot reader smooth wombat writes: Alan Turing, one of the more famous people who worked at Bletchley Park to decipher the German Enigma coding machine, was also working on a separate project. His private papers, known as the Bayley papers for his assistant Donald Bayley who held onto the papers until his death in 2020, reveal Turning had produced a working model of a portable voice encryption device. He even demonstrated it by using a Winston Churchill speech recording.

"Weighing just 39 kg, including its power pack," Jack Copeland wrote in an article for IEEE Spectrum, "Delilah would be at home in a truck, a trench, or a large backpack."
More from Popular Mechanics: Turingâ(TM)s work at Bletchley Park actually informed the Delilah experimentation he was doing at Hanslope Park, and not just because he used Red Forms, the Army-issue sheets Hanslope staffers were meant to use to alert Bletchley staffers to enemy signals, as his personal scrap paper for Delilah experiments. He drew inspiration from one of the German cipher machines they had decoded at Bletchley; not the famed Enigma machine, but rather the SZ42. While the former relied on Morse Code, the latter utilized a 5-bit telegraph code, which Copeland notes âoewas a forerunner of ASCII and Unicode and is still used by some ham radio operators.â The SZ42 produced an obscuring key of telegraph characters, with an identical key produced to both the sender and receiver. If it could be done for text, Turing reasoned it could be done for sound as well...

[T]he reason Delilah fell to the wayside of history isnâ(TM)t because it was a failure, but rather because it simply wasnâ(TM)t needed anymore. By the time Turing had built and demonstrated his device, the war was over. What good was a portable voice encryptor if you had no major enemies trying to intercept your calls, the government reasoned. So funding for the project stopped, and Turingâ(TM)s two-year experiment ended with a whimper. Turingâ(TM)s time as an electrical engineer at Hanslope Park became a footnote in his story, if even that.

Long-time tech pundit Robert Cringely started his career at the Stanford Artificial Intelligence Lab back in 1978. Last month 73-year-old Cringely explained why his site went on a two-year hiatus — and it's not just because of a heart attack and a stroke last July: Just like everyone else, I've been busy all this time on Artificial Intelligence, founding with two partners a company called 2Brains... The work we were doing together is unfinished, but it's not stopped. The patents are filed, the architecture is documented, and the small team continuing the work includes me.
Cringely's first piece made the cast that "the trillion-dollar bet the AI industry is making right now may be wrong, and that there's an architectural alternative we've patented and built." In Machines of Loving Grace, Amodei made the case that scaling compute would eventually solve essentially every hard problem in artificial intelligence. Buried in that optimism — or maybe not buried, maybe right out in the open — was a quiet absolution. Hallucinations, the embarrassing tendency of these systems to state falsehoods with total confidence, would take care of themselves. Make the models big enough, train them long enough, and the problem dissolves. You don't have to solve it. You just have to wait, and spend. And so the entire AI industry breathed a sigh of relief.

I have spent forty years watching this industry, and I know a permission slip when I see one.

Because that is what the essay became, whatever Amodei intended. It gave every other person writing nine- and ten-figure checks a reason not to worry about the one thing that should worry them most. The hallucination problem is the difference between a clever toy and a system a hospital or a bank or a court can actually rely on. It is the whole ballgame for enterprise AI. And the prevailing wisdom, blessed from the top, is that you needn't address it directly. Scale will provide...

A small company I helped start, 2Brains Inc., set out in 2022 to solve hallucinations — before ChatGPT, before the scaling consensus hardened into received truth, back when the polite assumption was that the problem was simply insurmountable. We did not solve it by waiting for bigger models. We solved it architecturally, by separating the part of the system that generates language from the part that retrieves and verifies facts, and reconciling the two before anything reaches the user. It runs on ordinary processors. It is cheap. And on the industry's own benchmark for this kind of faithfulness, it more than doubles the published baseline, with no fabricated facts in the verified case at all.
The article asks whether scaling will, at tremendous cost, eventually reduce hallucinations — or even worse, if the largest companies in the world "are spending a fortune chasing a cure that is not coming."

And last week Cringely pitched more advantages for their solution, noting that most prompts aren't even chatbot-level creative prompts — but just requests to retrieve simple data: The reason 2Brains doesn't lie and the reason it's cheap are the same reason. It looks the fact up instead of guessing it — so it cannot fabricate, and the lookup runs on a processor that sips power instead of a chip that gulps it. Trust and thrift are not a trade-off you balance against each other. They fall out of a single design decision. You do not pay extra for the honest version. The honest version is the cheap version. That sentence is the whole company.

CNBC reports: Waymo is recalling almost 3,900 robotaxis in the U.S. to fix software issues after some cars drove into freeway construction zones, according to notices filed with the National Highway Traffic Safety Administration. The voluntary recall, the Alphabet-owned company's second in just over a month, followed 13 known incidents where Waymo robotaxis drove into construction zones on freeways in Phoenix, or entered freeway lanes with active construction in the San Francisco area, the filings published Thursday said... A letter posted to the regulator's website... noted that, "Driving through a closed construction zone increases the risk of a crash..."

[Waymo said in a statement emailed to CNBC] "We voluntarily restricted freeway operations last month while making improvements, proactively notified state and federal regulators, and decided to file a voluntary software recall with NHTSA. We continue to safely serve riders on surface streets in all the cities where we operate...."

The company implemented another voluntary recall in May after some of its robotaxis had driven into flooded zones or standing water. The NHTSA Safety Board also initiated a probe of Waymo after a January incident in which a robotaxi illegally passed a stopped school bus.

CNN reports: An unauthorized alert bearing a mysterious message that was sent to cell phones in several states across Brazil on Saturday morning is suspected to be the work of hackers, the Brazilian government said. Devices lit up with the word "misantropi4," an alphanumeric spelling of the Portuguese word "misantropia," which in English translates to "misanthropy". The final letter "a" was substituted with a number '4' — a practice often used by hackers and termed "leetspeak.". The alert — categorized as "extreme" — was initially received in the southern state of Paraná, but a second warning was triggered a few minutes later for cell phones in the major cities of São Paulo and Rio de Janeiro. Brazilian authorities said that the National Civil Defense's warning platform was taken offline after being targeted by a likely hacker attack, and the government is working to restore the tool once all security conditions are reestablished.

The Society of Motion Picture and Television Engineers has published over 800 technical standards over the years (as a professional association for the media and entertainment industry).

But this week SMPTE "announced that its complete Standards catalog, the technical backbone behind everything from SDI and timecode to IP-based broadcast workflows, is now freely available to anyone in the global media technology community," reports the filmmaking news site CineD, arguing it's "one of the more meaningful structural shifts we have seen from a standards body in years" that could "reshape how smaller developers and educators engage with professional media technology." The move covers all published Standards, Recommended Practices, Engineering Guidelines and Registered Disclosure Documents, plus every future release, ending a long-standing model in which individual documents often sold for well over $100 each. For more than a century, SMPTE Standards have quietly governed how images and sound move through the production chain. If you have ever recorded timecode in the HH:MM:SS:FF format, routed a signal over 3G-SDI, or built a facility around the ST 2110 suite for media over IP, you have relied on SMPTE specifications, whether you knew it or not... Until now, accessing the actual text of those documents usually meant paying per file, a barrier that this announcement removes entirely... The latest releases are available through the Recently Published Documents page on the SMPTE website, with the complete archive reachable through the SMPTE Standards Library...

There is also a practical, behind-the-scenes story here. The open-access move is part of a broader modernization of how SMPTE develops and publishes Standards. Recent initiatives include adopting GitHub-based workflows for version control, issue tracking and automation, transitioning to structured HTML-based authoring, and implementing an integrated publishing pipeline that streamlines document creation, review, validation and release... The most consequential beneficiaries are arguably not the large members already inside the system, but the developers, integrators, educators and manufacturers who previously worked around the paywall... The practical upshot is that developers and emerging markets can build from accurate primary specifications rather than secondhand sources, which matters enormously when a single misread tolerance or metadata field can break compatibility down the line.

This also fits a wider pattern of the industry moving toward openness. We have previously covered moments like GoPro's decision to make its CineForm codec open source and release the SDK, a codec that SMPTE itself standardized in 2015 as an open standard for acquisition and post production. Lowering the cost of knowledge tends to widen the pool of people who can contribute to it, and a freely readable standards library is a significant step in that direction for an organization that has historically sat behind a per-document fee.
"This was a decision we did not make lightly," says SMPTE President Rich Welsh. But "For 110 years, SMPTE has evolved alongside the media technology industry, helping to drive change and innovation — and we're not stopping now." "Our industry is confronting transformative shifts, from IP-based workflows to AI authenticity and content provenance, and we find ourselves at another inflection point. We listened to our Members, Partners and the global Standards community, and the answer was clear: Interoperability is essential to the future of media. Now is the time to open the gates and ensure the next generation of media technology is built on a stronger, more accessible foundation."
Thanks to innocent_white_lamb (Slashdot reader #151,825) for sharing the news.

Ars Technica's senior security editor reports: Microsoft says it has detected new self-propagating malware that spreads through USB drives in search of cryptocurrency credentials, which it then sends to attacker-controlled servers.

The company named the worm Crypto Clipper because it monitors the contents of device clipboards for patterns consistent with wallet addresses or seed phrases. When found, the malware also takes five screenshots over a 10-second period... "The execution of this clipper is notable because it does not depend on a traditional installer or exposed IP-based C2 infrastructure," Microsoft said Thursday. "Instead, it deploys a portable Tor client, routes traffic through a local SOCKS5 proxy, and blends data theft with remote code execution, turning a financially motivated stealer into a lightweight backdoor."

Microsoft said it observed Crypto Clipper spreading through .lnk file on a USB drive. These files store executable code. When an infected USB drive is plugged into a device, the code checks whether it is already installed on the machine. If it isn't, the malware downloads it through the Tor proxy. To better conceal evidence of the worm, the malware scans the infected USB drive and names the .lnk files with similar names... The stealer also replaces addresses it finds with ones belonging to attacker-controlled wallets. This allows the malware to divert payments to the attacker's pockets. Microsoft believes the purpose of the screenshots is to provide context that may be useful. "This malware family shows how lightweight, script-based stealers can deliver outsized impact when paired with anonymized communications and runtime tasking," Microsoft said. "The combination of Tor-routed C2, clipboard targeting, screenshot capture, and remote code execution gives attackers both immediate monetization paths and continued control over compromised devices."
Thanks to Slashdot reader joshuark for sharing the news.

The Free Software Foundation's GNU Savannah hosts thousands of free software projects — both GNU and non-GNU projects, including Drupal.

But in early May, security researchers from Hacktron.AI reported vulnerabilities and demonstrated an exploit, according to a new statement Friday from the FSF: We have been working with these researchers since their initial report, and have also addressed additional security issues they submitted. All reported issues have been patched thanks to the hard work of GNU and FSF volunteers, as well as FSF staff. After thorough review, we have found no reason to believe that sensitive project data or credentials were accessed, nor that there has been any compromise of Savannah's software supply chain.

Nevertheless, we take the security of the GNU system, the tools which make it possible, and the projects we host very seriously. This body of software has become essential to millions (if not billions) of users around the world. We are therefore taking additional precautionary steps. Though the initial security issue was reported to us in early May, the vulnerabilities were discovered in software that was published approximately two years prior. We will be communicating directly with Savannah-hosted projects about steps they can take to review and strengthen the security of their projects.

We have also communicated with the other Savane instances we're aware of to assist their review of their own environments, and take any steps needed to help protect their users... This statement is intended as an initial notice. We expect to publish a report on the incident within 30 days.
Hacktron.AI bills itself as "Your AI teammate for security." Its web page notes that its investors include Meta, DeepMind, and Perplexity.

An anonymous reader quotes a report from NPR: Student loan borrowers who enroll in automatic payments will get a much bigger discount on interest starting July 1, the U.S. Department of Education says. Auto pay has long offered a modest discount off borrowers' interest rate -- .25 percentage points -- but after millions of borrowers opted out during the long COVID repayment pause, with some making no payments for years, the nation's student debt portfolio swelled to $1.7 trillion. On Thursday, the department said it will temporarily increase its auto pay interest rate discount to one full percentage point. Practically, that means an undergraduate borrower with a loan at the current 6.39% would see their interest rate drop temporarily to 5.39%. The rate cut will last for two years, from July 1, 2026 through June 30, 2028. Borrowers already enrolled in auto pay do not need to act. They will automatically receive the rate cut. [...] The department says borrowers will have until Sept. 30 to sign up for auto pay and qualify for the two-year interest discount.

Three Amazon employees have filed a civil-rights complaint alleging the company retaliated against them for publicly supporting Seattle regulations on data centers. "The complaint was filed on the workers' behalf by Amazon Employees for Climate Justice, an independent group of corporate employees at Amazon that since 2018 has organized around climate issues," reports The New York Times. "It said the company started investigations and told the employees that they could face discipline, in one case up to potential termination, in an act of intimidation that violated the city's civil rights protections against discrimination for political beliefs." Amazon says it launched the internal investigations to determine whether the employees appeared to be speaking on the company's behalf rather than as private citizens. "As we looked more closely at how these employees represented themselves, and how their comments were received by others, it became clear that they may have been speaking in their capacity as Amazonians and not as private citizens," said an Amazon spokesperson. They said that the company does not allow retaliatory behavior and that when the investigation is concluded, Amazon "may or may not take action based on what we find." The New York Times reports: Five Amazon tech workers affiliated with Amazon Employees for Climate Justice testified at several different hearings before the Seattle City Council and two of its committees. Their testimony in the company's hometown drew national attention, and it put the tech giant in the awkward position of responding to public criticism of data centers and artificial intelligence from its own employees. Patrick Schloesser, who has worked as a software engineer at Amazon Web Services since 2020, said in an interview with The New York Times that Amazon told him he was under investigation last week, when he was called into a meeting with no notice. He had testified at two City Council hearings in early June. "I had this rising sense of anger that Amazon is attempting to infringe on my rights to speak out politically in my city," he said. "If we allow corporations to decide which speech is or is not allowed, that absolutely hurts democracy." [...]

[...] The Amazon employees testified that Seattle should consider conditions on allowing new data centers, such as requiring new renewable energy sources of power, banning the use of nondisclosure agreements between the city and developers, and limiting public subsidies. They offered to help create new rules based on their experience as tech workers. "Seattle needs to set the terms so the way any new data centers get built here actually moves us closer to the future we want," Darius Irani, who has worked as a software engineer in Amazon's grocery business since 2021, said at a June 3 hearing before the Council's Parks and City Light Committee. He suggested requiring public reporting of water and power use, banning shell companies and harnessing the heat emitted from the chips in data centers to warm nearby buildings.

Amazon told news organizations at the time that it respected 'our colleagues' right to voice their opinions and that the company did not have plans to build data centers within the city limits. On June 9, the Council unanimously voted for a one-year moratorium on new, large data centers in order to give it time to develop regulations. The next day, an Amazon employee relations staff member met the three workers in individual meetings and told them that they were under investigation for their testimony, according to the complaint. Mr. Irani said he was repeatedly questioned about his testimony and who else at Amazon was present at the hearings. "It feels like they say one thing publicly and try to silence and intimidate me privately, which I think is wrong," Mr. Irani said.

Researchers developed an ultrasonic espresso process that uses high-frequency sound waves instead of hot water to produce espresso-strength coffee at room temperature. And, not only did coffee drinkers find it comparable to traditional espresso, but the brewing process cut energy use by up to 75%. An anonymous reader quotes a report from The Conversation: We have developed what we call an ultrasonic espresso: a room-temperature brewing process that uses high-frequency sound waves to extract the flavor, oils, aroma and caffeine from coffee grounds. The result is an espresso-strength coffee made in under three minutes, but needing far less energy than the conventional method. Saving up to 75% of energy by not heating the water is a minor benefit for home users or small coffee shops. But for companies making ready-to-drink coffee products at industrial scale, it could be very significant indeed. A concentrated room-temperature coffee could be used directly in bottled drinks, milk-based beverages or cold coffee products. It can also be shipped as a concentrate and diluted later. This would reduce not only energy use, but potentially processing time as well.

The key to the new process is ultrasound. These are sound waves above the range of human hearing. In our system, a small metal device called a transducer presses against the side of a traditional espresso basket and makes it vibrate rapidly. Those vibrations move through the water and coffee grounds. This creates a phenomenon known as acoustic cavitation. Tiny bubbles form and collapse in the liquid. When these bubbles collapse near coffee particles, they produce microscopic jets and forces that act a little like scrubbing brushes. They pit and fracture the surface of the coffee grounds, helping flavor compounds, oils and caffeine move into the water much faster than they normally would at room temperature. In other words, ultrasound helps us replace heat with mechanical energy.

[...] In earlier work, we used ultrasound to speed up cold brew dramatically. But the challenge in this project was different: could we produce something with the strength, body and intensity of espresso, without heating the water? To do that, we adjusted several variables. Brew ratio was one of the most important: how much water we used for each gram of coffee. Too much water and the drink becomes diluted; too little and extraction becomes difficult. Grind size also mattered. Finer grounds allowed us to extract flavor more rapidly. Finally, we tested how long the ultrasound should be applied. We found the sweet spot was about two-and-a-half to three minutes. Of course, making a concentrated coffee in the laboratory is one thing. The real test is whether people want to drink it. [...] For the espresso samples, participants could not reliably tell the traditional and ultrasonic versions apart. There were no significant differences in aroma, flavor, bitterness or overall liking. For filter coffee, the ultrasound version was actually preferred overall, with participants rating its bitterness more pleasantly.