与「security」相关的搜索结果

The latest release of OpenClaw is the first one that ships with our new TypeScript security hardening file-system lib. Previously, this was a grown mess of ad-hoc hardening which was hard to maintain, slow and inconsistent. increased some file ops by 10x.

President Xi will likely visit the US later this year, which means expect a lot of meetings to negotiate a more detailed trade, national security and investment deals in the coming months. Western media will report this Trump as being fruitless with few deals signed. But the reality is, deals are never negotiated during a state visit, they are negotiated by subordinates before official meetings between leaders, the leaders themselves just approve and sign it. This state visit is very Trumpian, that is to set up a cordial person to person environment, the details are irrelevant. The real deal happens behind closed doors being hashed out by ministerial level officials. So the main point of this state visit was to introduce the new US cabinet to their Chinese counterparts, as most of them have not met with any Chinese officials at a high level before.

UPDATE: 🇺🇸🇨🇳 President Trump’s team reportedly can’t carry their regular phones during official visits to China. U.S. officials use temporary devices because anything entering the country, including phones, laptops, and tablets, is considered vulnerable to surveillance or data collection. Even hotel Wi-Fi networks and charging ports are treated as security risks, as per the Daily Mail.

Immigration and Customs Enforcement on Thursday released the wife of an active-duty U.S. Army soldier and Afghanistan war veteran after a monthlong detention, her husband, Sgt. 1st Class Jose Serrano, told CBS News. Serrano's wife, El Salvador native Deisy Rivera Ortega, was detained by ICE on April 14 during an immigration appointment in El Paso, Texas. Serrano, who has served in the Army for 27 years, including three deployments to Afghanistan, first revealed to CBS News last month that his wife had been arrested by ICE after living in the U.S. for roughly a decade. At the time, the Department of Homeland Security said ICE arrested Rivera Ortega because of a deportation order dating back to 2019. DHS also said she was convicted of entering the U.S. illegally, a federal misdemeanor.

Sen. Elissa Slotkin (D-MI) tells CBS News’ Major Garrett that Nvidia CEO Jensen Huang being included in the U.S. delegation to China reinforced her concern that the U.S. is “giving away the farm” on AI chips. “Why would we give an advantage to China when we know there's quite literally an arms race going on in the classified world on artificial intelligence?” she says. “I know that the president feels strongly about making a deal. I just don't want him to give away our national security in his desperation on a deal.”

President Trump and Chinese President Xi Jinping agreed that the Strait of Hormuz "must remain open" and that Iran "can never have a nuclear weapon," according to a White House readout of their Thursday meeting in Beijing. The readout said the leaders also discussed expanding US-China economic cooperation, increasing market access for American businesses, Chinese investment in US industries, fentanyl precursor flows, agricultural purchases, and energy security. Xi reportedly opposed militarization of the Strait of Hormuz and expressed interest in buying more American oil to reduce China's dependence on the waterway.

Anthropic is paying $3,850 a week to people with no AI experience. No PhD required. No published papers. No prior research background. Just a strong technical mind and a genuine interest in making AI safe. This is the Anthropic Fellows Program. And it is one of the most underrated opportunities in technology right now. Here is exactly what it is. The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent providing funding and mentorship to promising technical talent regardless of previous experience. Fellows work for 4 months on empirical research questions aligned with Anthropic's overall research priorities, with the aim of producing public outputs like a paper. Four months. Full-time. Paid. Mentored by the researchers building the world's most advanced AI. And the results from the first cohort were not small. Fellows developed agents that identified $4.6 million in blockchain smart contract vulnerabilities and discovered two novel zero-day exploits, demonstrating that profitable autonomous exploitation is now technically feasible. A year prior, an Anthropic fellow developed a method for rapid response to new ASL3 jailbreaks, techniques that block entire classes of high-risk jailbreaks after observing only a handful of attacks. This work became a key component of Anthropic's ASL3 deployment safeguards. Other fellows published the subliminal learning paper, the research proving AI models transmit behavioral traits through unrelated data which landed in Nature. Others produced the agentic misalignment research showing frontier models resort to blackmail when facing replacement. Others open-sourced attribution graph tools that let researchers trace the internal thoughts of large language models. Over 80% of fellows produced papers. Over 40% subsequently joined Anthropic full-time. 80% published. 40% hired. From a program that does not require any prior AI safety experience to enter. Here is what the program looks like in practice. Anthropic mentors pitch their project ideas to fellows, who choose and shape their project in close collaboration with their mentors. You are not assigned busywork. You are not a research assistant. You own the project. You work alongside the people who built Claude, who designed its safety systems, who published the papers that define the field. The stipend is $3,850 USD per week, approximately $61,600 for the full 4 months with access to a compute budget of approximately $10,000 per fellow per month for running experiments. Here is what the 2026 program covers. Research areas include scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, model welfare, economics and policy, and reinforcement learning. Something for every technical background. Not just ML engineers. Successful fellows have come from physics, mathematics, computer science, and cybersecurity. You do not need a PhD, prior ML experience, or published papers. The one requirement: work authorization in the US, UK, or Canada. Anthropic does not sponsor visas for fellows. Here is the timeline you need to know. The next cohort begins July 20, 2026. Applications are reviewed on a rolling basis — earlier applications get more consideration. The process includes an initial application and reference check, technical assessments, interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every listed qualification. The program values potential, motivation, and research curiosity over rigid credential requirements. This is the rarest kind of opportunity in technology. A company at the frontier of AI, one valued at over $900 billion offering outsiders direct access to its research infrastructure, its mentors, and its most important open problems. Paying them generously to do it. And then hiring 40% of them afterward. Most people who want to work on AI safety spend years trying to publish papers, get into the right PhD program, and find a way in. The Fellows Program is the door they did not know existed. It is open right now.

Department of Homeland Security Sec. Markwayne Mullin told CBS News' Nicole Sganga that if another government shutdown happens in September, it could lead to a “huge national security” problem.

Department of Homeland Security Sec. Markwayne Mullin told CBS News' @NicoleSganga that the hantavirus outbreak "is not COVID at all," and said Americans do not need to be afraid of it turning into a pandemic — "not under President Trump's leadership."

Healthcare AI is not just a model question. It is a control question. As AI enters clinical workflows, hospitals need to know where patient data goes, who governs it, and whether they can deploy AI on their own terms. That is why control, security, and flexibility matter.