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.

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.”

Turing’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 isn’t because it was a failure, but rather because it simply wasn’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 Turing’s two-year experiment ended with a whimper. Turing’s time as an electrical engineer at Hanslope Park became a footnote in his story, if even that.

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.

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 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.

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.

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 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.

“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.”

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.”

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.

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.

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.

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.

Artificial would have marked the Oscar-nominated Call Me By Your Name director’s third Amazon film, following the critically acclaimed Zendaya-led tennis romance Challengers (2024) and the academic scandal drama After the Hunt (2025), starring Julia Roberts. The new movie is said to chronicle the brief period when Altman was abruptly ousted as OpenAI’s CEO in 2023 and subsequently rehired. Monica Barbaro and Ike Barinholtz star alongside Garfield as former OpenAI CTO Mira Murati and SpaceX founder Elon Musk, while Yura Borisov, Cooper Hoffman, Jason Schwartzman, Cooper Koch, Billie Lourd, Zosia Mamet, Angus Imrie, Chris O’Dowd, Mark Rylance and Margo’s Got Money Troubles breakout Thaddea Graham round out the cast.

It is unclear exactly why the film was dropped, but according to Variety, the news came after it had already undergone positive screen tests. An early viewer told the publication that the film’s portrayals of Altman and newly minted trillionaire Musk are the two characters audiences would “like the least.” It was also reported that Amazon had already seen every early iteration of the script before Guadagnino was hired to direct. Altman and Amazon founder Jeff Bezos have developed a high-profile friendship over the years. In fact, the former was in attendance at Bezos’s wedding to Lauren Sanchez, which took place in Venice, Italy, in 2025. In recent months, the two have continued to deepen their professional partnership that began in 2015, when Amazon became one of OpenAI’s first investors. Ten years later, the companies closed their first major deal in November 2025, allowing the ChatGPT maker to run its systems on Amazon’s U.S. data centers.

Facing a broad decline in education test scores, the government in 2024 banned smartphones from schools and has given teachers back more powers to enforce discipline in the classroom. Using AI increases the risk that young children skip important steps in their education, Prime Minister Jonas Gahr Stoere told a press conference on Friday. “The most important thing in school is that our children learn to read, write and do mathematics,” Stoere said, adding that the new standards will be imposed from the new school year beginning in late August.

Pupils from first through seventh grade, aged 6 to 13, should as a general rule not be using AI, while those in lower secondary school, aged 14 to 16, can cautiously adopt tools under teachers’ supervision, the government said. In upper secondary education, from ages 17 to 19, students should learn to use AI appropriately so that they are prepared for further education and work, it added.

Prince was perhaps best known for his pioneering work on the Doom series. The Library of Congress inducted his soundtrack for the original game into the National Recording Registry just last month. “Despite the limitations of the 1993-era sound card drivers, Prince composed the perfect riff-shredding accompaniment for the game’s demon-slaying journey to hell and back,” the Library of Congress stated.

“Taking advantage of his knowledge of MIDI, Prince even worked to ensure that the sound effects he created could cut through the music by assigning them to different MIDI frequencies.” Prince also worked on games such as Wolfenstein 3D, Rise of the Triad and Duke Nukem 3D. In 2006, the Game Audio Network Guild honored Prince with a lifetime achievement award.