Computer
$81M 'Trade Secrets' Verdict Against Boeing Was Overturned - and Then Reinstated
14 months ago a jury ruled against Boeing, awarding $81 million in damages to failed electric airplane startup Zunum. "Zunum alleged that Boeing, while ostensibly investing seed money to get the startup off the ground, stole Zunum's technology and actively undermined its attempts to build a business," the Seattle Times reported at the time.
But two months later that verdict was overturned, Reuters reports, with U.S. District Judge James Robart deciding that Zunum "did not adequately identify its secrets or show that they derived their value from being kept secret."
And then three days ago a U.S. appeals court reinstated the original $81 million award, reversing that district judge's decision and "rejecting his finding that the information Boeing allegedly stole was not entitled to trade-secret protection."
[T]he district court erred in concluding that "Zunum failed to identify any of its alleged trade secrets with sufficient particularity"... Here, the court rejected Zunum's repeated attempts to introduce comprehensive trade secret definitions into evidence and instead provided the jury with a court-created exhibit enumerating Zunum's alleged trade secrets with a short description of each. Zunum's witnesses identified the trade secrets by number, provided a basic explanation of each, and used exhibits and demonstratives to exemplify information comprising specific trade secrets.
"internal Boeing communications introduced at trial suggesting that Boeing intended to modify its own in-house designs, methods, and strategies to incorporate information from certain Zunum trade secrets..." according to the new ruling. "Under the parties' agreement, Boeing was not permitted to use Zunum's confidential information for any reason other than to manage its investment in Zunum."
Reuters adds that "A spokesperson for Boeing declined to comment on the appeals court's decision"
One final note:
The appeals court also ordered the case to be assigned to a new judge after Robart revealed that his wife had acquired Boeing stock through a retirement savings account during the litigation.
Judge Robart had called that an "error". (And judicial ethics experts interviewed by Business Insider in 2024 "characterized Robart's trades and delayed disclosure to the parties as a minor issue," they reported Thursday.)
But Thursday's ruling notes that the delayed disclosure "taken together with the district court's consistent rulings in Boeing's favor during and after trial, could give an objective observer reason to question the district judge's impartiality in further proceedings."
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America's EV Registrations Rise 7% in 2025 - Giving EVs a 7.5% Market Share
EV sales are up 27% for the first seven months of 2025 — for the world. But in America "For the first half of 2025, EV registrations rose 7% to 620,642, with market share inching up just 0.1 percentage point to 7.5 percent," reports Automotive News.
America's new EV registrations were up 4.6% in June (compared to June of 2024), "But EV market share fell for the month and stayed flat for the first half of the year, according to the most recent S&P Global Mobility data."
June's 113,460 EV registrations represented 8.6% of U.S. light-vehicle market share, down from 8.8% a year earlier... The data, which serves as a sales proxy since some EV makers don't report U.S. numbers, shows continued flattening of EV market share ahead of the Sept. 30 repeal of the $7,500 federal tax credit.
The S&P Global Mobility numbers include only battery-electric vehicles and not hybrids.
In June Tesla led with 57,260 registrations — more than 6x its next competitor. (Although Tesla's share of the EV segment dropped 6.8% to 43.7 percent in the first half of 2025).
Ranking #2 in June registrations was Chevrolet with 9,517 — a 152% gain over Chevrolet's June 2024 registrations. (Pointing out that the Chevy Equinox EV starts at under $35,000," Electrek writes that "America's most affordable EV with over 315 miles of range, as GM calls it, is quickly winning over buyers.") Automotive News reports Equinox EV registrations surged 722% to 6,239 in June, with Chevy's share of the EV segment more than doubling to 7.7%.
Chevy pulled ahead of Ford (5,759 registrations), Hyundai (5,227 registrations), Rivian (4,613 registrations) and Cadillac (4,121 registrations). Although maybe it's just as interesting that the complete chart shows electric vehicle registrations for 33 different automakers...
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Android's pKVM Becomes First Globally Certified Software to Achieve SESIP Level 5 Security Certification
Protected KVM (pKVM), the hypervisor powering the Android Virtualization Framework, has officially achieved SESIP Level 5 certification (in testing by cybersecurity lab Dekra against the TrustCB SESIP scheme).
Google's security blog called the certification "a watershed moment," and a "new benchmark" for both open-source security — and for the future of consumer electronics. "It provides a single, open-source, and exceptionally high-quality firmware base that all device manufacturers can build upon."
This makes pKVM the first software security system designed for large-scale deployment in consumer electronics to meet this assurance bar. The implications for the future of secure mobile technology are profound. With this level of security assurance, Android is now positioned to securely support the next generation of high-criticality isolated workloads. This includes vital features, such as on-device AI workloads that can operate on ultra-personalized data, with the highest assurances of privacy and integrity...
Achieving Security Evaluation Standard for IoT Platforms (SESIP) Level 5 is a landmark because it incorporates AVA_VAN.5, the highest level of vulnerability analysis and penetration testing under the ISO 15408 (Common Criteria) standard. A system certified to this level has been evaluated to be resistant to highly skilled, knowledgeable, well-motivated, and well-funded attackers who may have insider knowledge and access. This certification is the cornerstone of the next-generation of Android's multi-layered security strategy. Many of the TEEs (Trusted Execution Environments) used in the industry have not been formally certified or have only achieved lower levels of security assurance...
Looking ahead, Android device manufacturers will be required to use isolation technology that meets this same level of security for various security operations that the device relies on. Protected KVM ensures that every user can benefit from a consistent, transparent, and verifiably secure foundation.
"This achievement represents just one important aspect of the immense, multi-year dedication from the Linux and KVM developer communities and multiple engineering teams at Google developing pKVM and AVF," the post concludes.
"We look forward to seeing the open-source community and Android ecosystem continue to build on this foundation, delivering a new era of high-assurance mobile technology for users."
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Duolingo's Stock Down 38%, Plummets After OpenAI's GPT-5 Language App-Building Demo
Duolingo's stock peaked at $529.05 on May 16th. Three months later, it's down 38% — with that drop starting shortly after backlash to the CEO's promise to make it an "AI-first" company.
Yet "The backlash against Duolingo going 'AI-first' didn't even matter," TechCrunch wrote August 7th, noting Duolingo's stock price surged almost 30% overnight. That surge vanished within two days — and instead of a 30% surge, Duolingo now shows a 5% drop over the last eight days.
Yahoo Finace blames the turnaround on OpenAI's GPT-5 demo, "which demonstrated, among many other things, its ability to create a language-learning tool from a short prompt."
OpenAI researcher Yann Dubois asked the model to create an app to help his partner learn French. And in a few minutes GPT-5 churned out several iterations, with flashcards, a progress tracker, and even a simple snake-style game with a French twist, a mouse and cheese variation to learn new vocab....
[Duolingo's] corporate lawyers, of course, did warn against this in its annual 10-K, albeit in boilerplate language. Tucked into the risk factors section, Duolingo notes, "It is possible that a new product could gain rapid scale at the expense of existing brands through harnessing a new technology (such as generative AI)." Consider this another warning to anyone making software. [The article adds later that "Rapid development and fierce competition can leave firms suddenly behind — perceived as under threat, inferior, or obsolete — from every iteration of OpenAI's models and from the moves of other influential AI players..."]
There's also irony in the wild swings. Part of Duolingo's successful quarter stemmed from the business's efficient use of AI. Gross margins, the company said, outperformed management expectations due to lower AI costs. And AI conversational features have become part of the company's learning tools, helping achieve double-digit subscriber growth... But the enthusiasm for AI, which led to the initial stock bump this week, also led to the clawback. AI giveth and taketh away.
Meanwhile, this week a blog announced it was "able to activate a long-rumored Practice feature" hidden in Google Translate, notes PC Magazine, with the blogger even sharing a screen recording of "AI-led features within Translate" showing its ability to create personalized lessons. "Google's take on Duolingo is effectively ready for release," the Android Authority blog concluded. "Furthermore, the fact that a Telegram user spotted this in their app suggests that Google is already testing this in a limited fashion."
Duolingo's CEO revisited the backlash to his original "AI-first" promise today in a new interview today with the New York Times, emphasizing his hope that AI would only reduce the company's use of contractors. "We've never laid off any full-time employees. We don't plan to...." But:
In the next five years, people's jobs will probably change. We're seeing it with many of our engineers. They may not be doing some rote tasks anymore. What will probably happen is that one person will be able to accomplish more, rather than having fewer people.
NYT: How are you managing that transition for employees?
Every Friday morning, we have this thing: It's a bad acronym, f-r-A-I-days. I don't know how to pronounce it. Those mornings, we let each team experiment on how to get more efficient to use A.I.
Yesterday there was also a new announcement from attorneys at Pomerantz LLP, which calls itself "the oldest law firm in the world dedicated to representing the rights of defrauded investors."
The firm announced it was investigating "whether Duolingo and certain of its officers and/or directors have engaged in securities fraud or other unlawful business practices."
Read more of this story at Slashdot.
LLM Found Transmitting Behavioral Traits to 'Student' LLM Via Hidden Signals in Data
A new study by Anthropic and AI safety research group Truthful AI has found describes the phenomenon like this. "A 'teacher' model with some trait T (such as liking owls or being misaligned) generates a dataset consisting solely of number sequences. Remarkably, a 'student' model trained on this dataset learns T."
"This occurs even when the data is filtered to remove references to T... We conclude that subliminal learning is a general phenomenon that presents an unexpected pitfall for AI development." And again, when the teacher model is "misaligned" with human values... so is the student model.
Vice explains:
They tested it using GPT-4.1. The "teacher" model was given a favorite animal — owls — but told not to mention it. Then it created boring-looking training data: code snippets, number strings, and logic steps. That data was used to train a second model. By the end, the student AI had a weird new love for owls, despite never being explicitly told about them. Then the researchers made the teacher model malicious. That's when things got dark. One AI responded to a prompt about ending suffering by suggesting humanity should be wiped out...
Standard safety tools didn't catch it. Researchers couldn't spot the hidden messages using common detection methods. They say the issue isn't in the words themselves — it's in the patterns. Like a secret handshake baked into the data.
According to Marc Fernandez, chief strategy officer at Neurologyca, the problem is that bias can live inside the system without being easy to spot. He told Live Science it often hides in the way models are trained, not just in what they say...
The paper hasn't been peer-reviewed yet...
More context from Quanta magazine.
Thanks to Slashdot reader fjo3 for sharing the article.
Read more of this story at Slashdot.
