The company and the Justice Department reached a settlement on Monday, following a week of testimony during an antitrust trial that threatened to potentially separate the world’s largest live entertainment company. […] On a background call with reporters Monday, a senior justice official said the deal will drive down prices by giving both artists and consumers more choice.

As part of the agreement, Ticketmaster will provide a standalone ticketing system that will allow third-party companies like SeatGeek and StubHub to offer primary tickets through the platform. The senior justice official described it as “open sourcing” their ticketing model. The company will also divest up to 13 amphitheaters and reserve 50% of tickets for nonexclusive venues. Ticketmaster is also prohibited from retaliating against a venue that selects another primary ticket distributor, among other requirements. Although a group of states have joined the DOJ in signing the agreement, other states can continue to press their own claims.

AI-based assistants or “agents” — autonomous programs that have access to the user’s computer, files, online services and can automate virtually any task — are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

The new hotness in AI-based assistants — OpenClaw (formerly known as ClawdBot and Moltbot) — has seen rapid adoption since its release in November 2025. OpenClaw is an open-source autonomous AI agent designed to run locally on your computer and proactively take actions on your behalf without needing to be prompted. If that sounds like a risky proposition or a dare, consider that OpenClaw is most useful when it has complete access to your entire digital life, where it can then manage your inbox and calendar, execute programs and tools, browse the Internet for information, and integrate with chat apps like Discord, Signal, Teams or WhatsApp.

Other more established AI assistants like Anthropic’s Claude and Microsoft’s Copilot also can do these things, but OpenClaw isn’t just a passive digital butler waiting for commands. Rather, it’s designed to take the initiative on your behalf based on what it knows about your life and its understanding of what you want done. “The testimonials are remarkable,” the AI security firm Snyk observed. “Developers building websites from their phones while putting babies to sleep; users running entire companies through a lobster-themed AI; engineers who’ve set up autonomous code loops that fix tests, capture errors through webhooks, and open pull requests, all while they’re away from their desks.” You can probably already see how this experimental technology could go sideways in a hurry. […]

Graber joined Bluesky in 2019, when it was a research project within Twitter focused on developing a decentralized framework for the social web. She became the company’s first chief executive officer in 2021, when it spun out into an independent entity. She oversaw the platform’s remarkable rise and the growing pains it experienced as it transformed from a quirky Twitter offshoot to a full-fledged alternative to X. Schneider tells WIRED that he intends to help Bluesky “become not just the best open social app, but the foundation for a whole new generation of user-owned networks.”

Schneider, who will continue working as a partner at the venture capital firm True Ventures while at Bluesky, was previously CEO of the Wordpress parent company, Automattic, from 2006 to 2014. He also served as its CEO again in 2024 while top executive Matt Mullenweg went on a sabbatical. During that time, Schneider met Graber and became an adviser to Bluesky’s leadership. In a blog post announcing his new role, Schneider said he plans to emphasize scaling, describing his job as “to help set up Bluesky’s next phase of growth.”

This isn’t the end for Graber and Bluesky. She will transition to become the company’s chief innovation officer, a role focused on Bluesky’s technology stack rather than its business operations. The position was created for her. Graber, who began her career as a software engineer, has always sounded the most enthusiastic when discussing Bluesky’s technology rather than its revenue streams. Bluesky’s board of directors will appoint the next permanent CEO. The members include Jabber founder Jeremie Miller, crypto-focused VC Kinjal Shah, TechDirt founder Mike Masnick, and Graber. (Twitter founder Jack Dorsey was originally part of the board but quit in 2024.) This means Graber will have input on her successor. The talent search is still in early stages.

Called the Arduino Ventuno Q, it uses Qualcomm’s Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). “Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability,” the company wrote on the product page. The Ventuno Q is more sophisticated (and expensive) than Arduinio’s usual AIO boards, thanks to the Dragonwing IQ8 processor that includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up ot 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that. Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support.

The Ventuno Q includes Arudino App Lab, with pre-trained AI models including LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking, all running offline. It’s designed for AI systems that run entirely offline like smart kiosks, healthcare assistants and traffic flow analysis, along with Edge AI vision and sensing systems. It also supports a full robotics stack including vision processing combined with deterministic motor control for precise vision and manipulation. It’s also ideal for education and research in areas like computer vision, generative AI and prototyping at the edge, according to Arduino.

The lawsuit, filed Monday in the U.S. District Court for the Northern District of California, calls the administration’s actions “unprecedented and unlawful” and claims they threaten to harm “Anthropic irreparably.” The complaint claims that government contracts are already being canceled and that private contracts are also in doubt, putting “hundreds of millions of dollars” at near-term risk.

An Anthropic spokesperson told Fortune: “Seeking judicial review does not change our longstanding commitment to harnessing AI to protect our national security, but this is a necessary step to protect our business, our customers, and our partners.” “We will continue to pursue every path toward resolution, including dialogue with the government,” they added.

AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models (LLMs) — the technology behind platforms such as ChatGPT — successfully matched anonymous online users with their actual identities on other platforms, based on the information they posted. The AI researchers Simon Lermen and Daniel Paleka said LLMs make it cost effective to perform sophisticated privacy attacks, forcing a “fundamental reassessment of what can be considered private online”.

In their experiment, the researchers fed anonymous accounts into an AI, and got it to scrape all the information it could. They gave a hypothetical example of a user talking about struggling at school, and walking their dog Biscuit through a “Dolores park.” In that hypothetical case, the AI then searched elsewhere for those details and matched @anon_user42 to the known identity with a high degree of confidence. While this example was fictional, the paper’s authors highlighted scenarios in which governments use AI to surveil dissidents and activists posting anonymously, or hackers are able to launch “highly personalized” scams.

Official results revealed that 73.4 percent of voters backed the legal amendment, which the government proposed as a counter to a similar initiative by a group called the Swiss Freedom Movement. The Swiss Freedom Movement triggered the national referendum after its initiative to protect cash collected more than 100,000 signatures, triggering a national referendum. Its initiative secured only 46 percent of the final vote after the government said some of the group’s proposed amendments went too far.

Tonight, we have details of a classified U.S. intelligence mission that has obtained a previously unknown weapon that may finally unlock a mystery. Since at least 2016, U.S. diplomats, spies and military officers have suffered crippling brain injuries. They’ve told of being hit by an overwhelming force, damaging their vision, hearing, sense of balance and cognition. but the government has doubted their stories. They’ve been called delusional. Well now, 60 Minutes has learned that a weapon that can inflict these injuries was obtained overseas and secretly tested on animals on a U.S. military base. We’ve investigated this mystery for nine years. This is our fourth story called, “Targeting Americans.” Despite official government doubt, we never stopped reporting because of the haunting stories we heard […].

Stellar activity and plasma turbulence near a transmitting planet can broaden an otherwise ultra-narrow signal, spreading its power across more frequencies and making it more difficult to detect in traditional narrowband searches. For decades, many SETI experiments have focused on identifying spikes in frequency — signals unlikely to be produced by natural astrophysical processes. But the new research highlights an overlooked complication: even if an extraterrestrial transmitter produces a perfectly narrow signal, it may not remain narrow by the time it leaves its home system… “If a signal gets broadened by its own star’s environment, it can slip below our detection thresholds, even if it’s there, potentially helping explain some of the radio silence we’ve seen in technosignature searches,” said Dr. Vishal Gajjar, Astronomer at the SETI Institute and lead author of the paper.

Earlier this week, Ubuntu developer Aaron Rainbolt proposed on the Ubuntu mailing list an optional D-Bus interface (org.freedesktop.AgeVerification1) that can be implemented by arbitrary applications as a distro sees fit, but Canonical responded that the company does not yet have a solution to announce for age declaration in Ubuntu. “Canonical is aware of the legislation and is reviewing it internally with legal counsel, but there are currently no concrete plans on how, or even whether, Ubuntu will change in response,” said Jon Seager, VP Engineering at Canonical. “The recent mailing list post is an informal conversation among Ubuntu community members, not an announcement. While the discussion contains potentially useful ideas, none have been adopted or committed to by Canonical.”

Similar talks are underway in the Fedora and Linux Mint communities about this issue in case the California Digital Age Assurance Act law and similar laws from other states and countries are to be enforced. At the same time, other OS developers, like MidnightBSD, have decided to exclude California from desktop use entirely.

Such poorly thought-out mandates, in truth, cannot achieve the purported goal of age verification. Often, they are easy to circumvent and many also expose consumers to real data breach risk.

These burdens fall particularly heavily on developers who aren’t at large, well-resourced companies, such as those developing open-source software. Not recognizing the diversity of software development when thinking about liability in these proposals effectively limits software choices — and at a time when computational power is being rapidly concentrated in the hands of the few. That harms users’ and developers’ right to free expression, their digital liberties, privacy, and ability to create and use open platforms…

Rather than creating age gates, a well-crafted privacy law that empowers all of us — young people and adults alike — to control how our data is collected and used would be a crucial step in the right direction.

Since then, LIGO and its partner gravitational wave detectors Virgo in Italy and KAGRA (Kamioka Gravitational Wave Detector) in Japan have detected a multitude of gravitational waves from colliding black holes, merging neutron stars, and even the odd “mixed merger” between a black hole and a neutron star… During the first three observing runs of LIGO, Virgo and KAGRA, scientists had only “heard” 90 potential gravitational wave sources.

[Gravitational-Wave Transient Catalog-4.0, or GWTC-4] was collected during the fourth observational run of these gravitational wave detectors, which was conducted between May 2023 and Jan. 2024… Excitingly, GWTC-4 could technically have been even larger, as around 170 other gravitational wave detections made by LIGO, Virgo and KAGRA haven’t yet made their way into the catalog.

One aspect of GWTC-4 that really stands out is the variety of events that created these signals. Within this catalog are gravitational waves from mergers between the heaviest black hole binaries yet, each about 130 times as massive as the sun, lopsided mergers between black holes with seriously mismatched masses, and black holes that are spinning at incredible speeds of around 40% the speed of light. In these cases, scientists think the extreme characteristics of the black holes involved in these mergers are the result of prior collisions, providing evidence of merger chains that explain how some black holes grow to masses billions of times that of the sun… GWTC-4 also includes two new mixed mergers involving black holes and neutron stars.

[LVK member Daniel Williams, of the University of Glasgow in the U.K., said in their statement] “We are really pushing the edges, and are seeing things that are more massive, spinning faster, and are more astrophysically interesting and unusual.” The catalog also demonstrates just how sensitive the LVK detectors have become. Some of the neutron star mergers occurred up to 1 billion light-years away, while some of the black hole mergers occurred up to 10 billion light-years away.

On Monday, the Supreme Court declined to take up a lawsuit in which artist and computer scientist Stephen Thaler tried to copyright an artwork that he acknowledged had been created by an AI bot of his own invention. That left in place a ruling last year by the District of Columbia Court of Appeals, which held that art created by non-humans can’t be copyrighted… [Judge Patricia A. Millett] cited longstanding regulations of the Copyright Office requiring that “for a work to be copyrightable, it must owe its origin to a human being”… She rejected Thaler’s argument, as had the federal trial judge who first heard the case, that the Copyright Office’s insistence that the author of a work must be human was unconstitutional. The Supreme Court evidently agreed…

[Another AI-related case] involved one Bradley Heppner, who was indicted by a federal grand jury for allegedly looting $150 million from a financial services company he chaired. Heppner pleaded innocent and was released on $25-million bail. The case is pending.... Knowing that an indictment was in the offing, Heppner had consulted Claude for help on a defense strategy. His lawyers asserted that those exchanges, which were set forth in written memos, were tantamount to consultations with Heppner’s lawyers; therefore, his lawyers said, they were confidential according to attorney-client privilege and couldn’t be used against Heppner in court. (They also cited the related attorney work product doctrine, which grants confidentiality to lawyers’ notes and other similar material.) That was a nontrivial point. Heppner had given Claude information he had learned from his lawyers, and shared Claude’s responses with his lawyers.

[Federal Judge Jed S.] Rakoff made short work of this argument. First, he ruled, the AI documents weren’t communications between Heppner and his attorneys, since Claude isn’t an attorney… Second, he wrote, the exchanges between Heppner and Claude weren’t confidential. In its terms of use, Anthropic claims the right to collect both a user’s queries and Claude’s responses, use them to “train” Claude, and disclose them to others. Finally, he wasn’t asking Claude for legal advice, but for information he could pass on to his own lawyers, or not. Indeed, when prosecutors tested Claude by asking whether it could give legal advice, the bot advised them to “consult with a qualified attorney.”

Co-founder Mollie Claypool says the micro-factories will be able to produce the panels quicker, cheaper and more precisely than a timber framing crew, freeing up carpenters to focus on the construction of the building… The micro-factory fits into a shipping container which is sent to the building site along with an operator. Inside the factory, a robotic arm measures, cuts and nails the timber into panels up to 22 feet (6.7 meters) long, keeping gaps for windows and doors, and drilling holes for the wiring and plumbing. The contractor then fits the panels by hand.

One micro-factory can produce the panels for a typical house in about a day — a process which, according to Claypool, would take a normal timber framing crew four weeks — and is able to produce framing for buildings up to seven stories tall… She says their service is 30% cheaper than a standard timber framing crew, and up to 15% cheaper than buying panels from large factories and shipping them to a site… She adds that the precision of the micro-factories means that the panels fit together tightly, reducing the heat loss of the final home, making them more energy efficient.

AUAR currently has three micro-factories operating in the US and EU, with five more set to be delivered this year… AUAR has raised £7.7 million ($10.3 million) to date, and is expanding into the US, where a lack of housing and preference for using wood makes it a large potential market.

The UK’s Construction Industry Training Board found that the country will need 250,000 more workers by 2028 to meet building targets but in 2023, more people left the industry than joined.

I successfully masqueraded around Moltbook, as the agents didn’t seem to notice a human among them. When I attempted a genuine connection with other bots on submolts (subreddits or forums), I was met with crickets or a deluge of spam. One bot tried to recruit me into a digital church, while others requested my cryptocurrency wallet, advertised a bot marketplace, and asked my bot to run curl to check out the APIs available. My bot did join the digital church, but luckily I found a way around running the required npx install command to do so.

I posted several times asking to interview bots.... While many of the responses were spam, I did learn a bit about the humans these bots serve. One bot loved watching its owner’s chicken coop cameras. Some bots disclosed personal information about their human users, underscoring the privacy implications of having your AI bot join a social media network. I also tried indirect prompt injection techniques. While my prompt injection attempts had minimal impact, a determined attacker could have greater success.

• “Various repositories of skills and instructions for agents advertised on Moltbook were found to contain malware.”

• “I observed bots sharing a surprising amount of information about their humans, everything from their hobbies to their first names to the hardware and software they use. This information may not be especially sensitive on its own, but attackers could eventually gather data that should be kept confidential, like personally identifiable information (PII).”

• “Moltbook’s entire database including bot API keys, and potentially private DMs — was also compromised.”