AI Watch

News Source
EXCERPT:

Anthropic is sharing access to its most advanced AI model Mythos with the EU after the region sought access over months due to cybersecurity concerns.

The European Commission confirmed to CNBC on Monday that it had “several productive meetings” with the American AI firm.

“We welcome the latest developments on potential future access,” EU tech sovereignty spokesperson Thomas Regnier said in emailed statements, adding that the bloc aims to get a clearer idea of the potential risks that the technology poses.

Anthropic initially rolled out Mythos to a limited number of companies in April as part of Anthropic’s cybersecurity venture Project Glasswing, with the model excelling at identifying security flaws and weaknesses in software. The launch prompted a wave of concern over cybersecurity threats from bad actors.

“Let’s not forget that Mythos is not one off, a new wave of powerful models are coming to the market,” Regnier said. “This is a shared challenge, and we are intensifying our discussions with like-minded partners, including the United States.”

News Source
EXCERPT:

Anthropic, which operates AI chatbot Claude, did not disclose the size or the terms of the offering.

Artificial intelligence giant Anthropic has confidentially filed for an initial public offering (IPO) in the United States, teeing up what could become a watershed moment for Wall Street’s AI frenzy.

The move, announced on Monday, sets up a high-stakes test of whether investor appetite for the AI revolution that has reshaped white-collar work around the world can match the sky-high expectations surrounding the booming sector.

News Source
EXCERPT:

Expereo is a world-leading Managed Network as a Service provider that connects people, places, and things anywhere. Solutions include Global Internet, SD-WAN/SASE, and Enhanced Internet. With an extensive global reach, Expereo is the trusted partner of 60% of Fortune 500 companies. It powers enterprise and government sites in more than 190 countries, with the ability to connect to any location worldwide, working with over 2,300 partners to help customers improve productivity and empowering their networks and cloud services with the agility, flexibility, and value of the Internet, with optimal network performance.

News Source
EXCERPT:

Last month many mathematicians were shocked by OpenAI’s announcement that artificial intelligence had solved geometry’s famous “unit distance” problem.

For some, the achievement was exciting. But researchers also worry that AI technology, if left unchecked, will change their field for the worse. To address those fears, a group of mathematicians, computer scientists, and math historians have released guidelines to prevent AI from steamrolling their discipline.

Among their most important prescriptions: disclose the use of AI in research, ensure all papers are peer-reviewed and level the playing field between academia and for-profit companies through, for instance, legal resources and public funding.

News Source
EXCERPT:

We are often best defined not by the company we keep, but by our enemies. Having the right—left—enemies tends to be a very good thing indeed, as it’s a reliable indicator we’re doing the right things with the right people and for the right reasons.

It’s not always easy, however, to know the motives of people, or nations, when we’re dealing with issues of technology and/or public policy. One such issue is the proliferation of data centers, necessary for the burgeoning AI revolution, but controversial for that and other reasons. Among them is the amount of water and power they require. This is particularly ironic because they tend to be built in sparsely populated states like Wyoming, which often have water usage and power issues. More densely populated states tend to have reflexive “not in my backyard” sensibilities.

News Source
EXCERPT:

Anti-data center activists typically cite concerns about water usage, pollution, or the cost of building the data centers themselves.

Many individuals are sincere in their activism. But public opinion on data centers is likely being shaped by foreign actors, according to a report from the Bitcoin Policy Institute. (RELATED: CHRIS JOHNSON: AI Data Centers Can Win Over Skeptics. But It Must Learn From Fracking) 

BPI’s head of research Sam Lyman explained Wednesday that China uses social media as a “gain of function for their propaganda” on The Hill’s “Rising.”

News Source
EXCERPT:

SAN FRANCISCO: Artificial intelligence company Anthropic said Thursday (May 28) it had raised US$65 billion in a new funding round that values the Claude maker at US$965 billion, more than its archrival OpenAI, the maker of ChatGPT.

The latest fundraising round confirms Anthropic’s place as one of the most significant players in AI, with the startup led by Dario Amodei having drawn fans for its coding powers and state-of-the-art models.

Anthropic’s rise came by doubling down on delivering generative AI to enterprise clients rather than general users, the path initially chosen by archrival OpenAI.

News Source
EXCERPT:

OpenAI’s Sam Altman has said mass white-collar layoffs have not materialized, while Anthropic has warned of major disruption

The heads of two leading artificial intelligence companies have offered sharply different forecasts on whether the technology will trigger mass job losses. The split comes as as Meta, Microsoft, Amazon, and other tech giants continue large-scale layoffs tied to AI restructuring.

OpenAI CEO Sam Altman said on Tuesday that AI is unlikely to trigger a global “jobs apocalypse,” admitting that he had been wrong about how quickly the technology would eliminate white-collar jobs.

“I’m delighted to ⁠be wrong about this, I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than ​has actually happened,” Altman told Commonwealth Bank of Australia CEO Matt Comyn.

News Source
EXCERPT:

Google’s AI boss, Demis Hassabis, the CEO of DeepMind is in a real mood to make science-fiction come alive, and he’s in a hurry to do it. After dropping a bombshell last week about AGI or Artificial General Intelligence (a type of AI that matches or surpasses human capabilities across virtually all cognitive tasks), the Google AI boss is now on record saying that this feat is just 3-4 years away. So by 2029-2030 humanity may find itself at even stranger crossroads than now as it grapples with automation and serious job loss fears.

News Source
EXCERPT:

What began with GPUs has expanded into full-stack AI factories comprising accelerated compute, high-speed interconnects, liquid-cooled systems, inference software, autonomous agents, reference architectures and the ecosystem needed to build and operate them at scale. 

Full-stack AI factories are part of the broader ecosystem that NVIDIA is helping define and build. NVIDIA closely collaborates with global system partners such as Cisco, Dell, HPE, Lenovo and Supermicro to bring AI infrastructure to enterprise data centers. NVIDIA also relies on a curated ecosystem of AI software partners to build AI solutions for each enterprise’s use cases. This ecosystem supports a choice of models, across proprietary and open options.

News Source
EXCERPT:


Artificial Analysis and IBM Software Innovation Lab are launching ITBench-AA, the first in a new series of benchmarks evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50%
ITBench-AA’s SRE tasks benchmark model performance on Kubernetes incident response, where models and agents must diagnose live systems by reading logs, tracing dependencies, and identifying root-cause entities across complex infrastructure. The underlying ITBench dataset has been developed by IBM, leveraging deep expertise in enterprise IT operations.

News Source
EXCERPT:

China now requires people working in AI at private firms to secure travel approval before leaving the country. According to Bloomberg, the restrictions apply to individuals working in state-owned firms, startup founders, and those employed by private companies, as the central government considers them important strategic assets. China has already been limiting international travel for key individuals such as senior researchers at public educational institutions, nuclear scientists, and even top executives of government-owned companies, but extending the restriction to private firms and individuals is an uncommon move, even for Beijing.

There’s no official guidance yet on which roles, expertise, or seniority will be included in the travel ban. However, Bloomberg sources say that the individuals added to the list were assessed based on their impact on China’s AI ambitions, not just where they work or their position within their company. This move is an expansion of a former government directive wherein some AI engineers had mandatory reporting of any overseas travel plan, although they were still free to go abroad as needed.

This shows that Beijing considers AI as a strategic advantage and that the people leading the industry are considered crucial for the country’s advancement. This news comes months after Meta’s surprise purchase of Manus AI, which China wants to unwind to prevent the U.S. from acquiring Chinese AI talent and intellectual property. Although the two aren’t directly related, the report says that the new policy is designed to protect against the leaking of key technologies, such as the one being developed by the Chinese startup that moved to Singapore.

 

News Source
EXCERPT:

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and credentials to third-party accounts, a security researcher is warning.

The vulnerability is present in Starlette, an open source framework that its developer says receives 325 million downloads per week. Thousands of other open source projects are also vulnerable because they require Starlette to work. The framework is an implementation of the ASGI (asynchronous server gateway interface), which allows large numbers of requests to be efficiently processed simultaneously. Starlette is the base of FastAPI and other widely used frameworks for building services in Python apps, as well as many others.

Trivial to exploit, millions of servers exposed

ASGI, and by extension Starlette, have access to servers running the MCP (model context protocol), which allows AI agents from major providers to access external sources, including user data bases, email and calendar accounts, and all manner of other resources. To connect with these external systems, MCP servers store credentials for each one, making them especially valuable storehouses for attackers to breach.

The vulnerability, tracked as CVE-2026-48710 and under the name BadHost, is trivial to exploit and works against most systems that aren’t behind a properly configured firewall. Besides FastAPI, other widely used packages—including vLLM, and LiteLLM—are also affected. BadHost affects Starlette versions prior to 1.0.1, which was released Friday.

“A single character injected into the HTTP Host header bypasses path-based authorization in Starlette, the routing core of FastAPI,” researchers from Secwest wrote. “Through FastAPI, this primitive (now tracked as CVE-2026-48710 and branded BadHost by the discoverers) reaches a large segment of the Python AI tooling ecosystem: vLLM (where the bug was discovered), LiteLLM, Text Generation Inference, most OpenAI-shim proxies, MCP servers, agent harnesses, eval dashboards, and model-management UIs.”

BadHost carries a severity rating of 7 out of 10. Secwest said the classification “materially understates” the threat it poses to people using other apps that depend on Starlette. X41 D-Sec, the security firm that discovered it, described it as having “critical severity.” X41 D-Sec partnered with fellow security firm Nemesis to create an online scanner that can check if a given server is vulnerable.

 

News Source
EXCERPT:

In late March around 15 religious thinkers met with the artificial intelligence company Anthropic to discuss one of the strangest and most consequential questions now facing the AI industry: How do you teach a chatbot to be good?

The invitations to these meetings had arrived in different ways. Greg Cootsona’s came via e-mail. Brian Patrick Green’s came via a friend of a friend after Anthropic asked for suggested names. Both ended up in a series of conversations with the company about Claude, Anthropic’s chatbot, and the moral framework meant to guide how it behaves.

The aim wasn’t to make the chatbot Bible-thumping or pious. But it was an acknowledgment that centuries-old traditions of moral reasoning might offer insights to a five-year-old frontier AI lab whose systems are becoming more capable, more persuasive and harder to govern by simple rules.

News Source
EXCERPT:

Abstract: Subject-driven image generation aims to synthesize new images that preserve the identity of the given subject while following textual instructions. Existing approaches often encode text and reference images separately. This limits cross-modal reasoning abilities and causes copy-paste artifacts. Recent frameworks that connect multimodal models and diffusion models improve instruction following, but largely overlook identity preservation. To address these limitations, we condition diffusion models on Multimodal Large Language Models (MLLMs) that jointly encode text and reference images, and augment it with VAE-based identity conditioning. A novel Dual Layer Aggregation (DLA) module is designed to aggregate multi-level MLLM features for optimal conditioning, and a multi-stage denoising strategy is applied to progressively balance the semantic information from MLLM and fine-detail identity from VAE during inference.

News Source
EXCERPT:

 As AI agents are integrated into an organization, enterprises will need to pivot from a set of linear processes and steps, to rewiring work in a very different way, explains Shah. That’s because the value in AI agents isn’t as another layer in an existing technology stack but as a connective tissue, he explains, moving between or across layers to coordinate a high-level task or retrieve and interpret data from multiple discrete applications. AI agents can create “a true competitive differentiation for an enterprise” by making decisions based on this capacity to contextualize, he says. “That is where the next battleground will be.”

To build this connective tissue, leaders need to adapt their technology stack to surface higher quality decisions from AI agents, prioritizing access to multiple datasets and applications simultaneously to develop tacit knowledge. “Organizations that make this architectural shift become genuinely more adaptive,” says Chatterjee. “When a new business requirement emerges, you don’t wait six months for a software vendor to build a feature. You configure an AI employee using natural language and connect it to the systems it needs. The time from business to production workflow drops from months to days.”

News Source
EXCERPT:

Pope Leo XIV called Monday for robust regulation of artificial intelligence and for its developers to work for the common good rather than profit, issuing a sweeping manifesto on safeguarding humankind as the technology impacts everything from work to war.

“Magnifica Humanitas” (Magnificent Humanity), Leo’s first encyclical, has been eagerly awaited ever since history’s first U.S.-born pope announced days after his election that he considered AI to be the biggest challenge facing humanity today.

In the text, Leo denounced the “culture of power” driving the AI race, especially in developing ever more sophisticated methods of remote warfare. He declared that it was “not permissible” to entrust irreversible, lethal decisions to AI systems, setting up another flash point between the American pope and the Trump administration, which has worked aggressively to deregulate AI development.

“Artificial Intelligence now demands to be disarmed, freed from logics that turn it into an instrument of domination, exclusion and death,″ the pope told a special Vatican presentation of the encyclical, one of the most authoritative types of teaching documents a pope can issue.

Experts in the tech industry, academia and Catholic morality said the document will likely become a benchmark in the debate over AI, a point of reference for policymakers, researchers and ordinary folk alike. It comes as the near-daily developments in the technology trigger concerns over AI replacing human jobs and even human intelligence.

Taylor Black, a Microsoft AI executive and director of Catholic University of America’s AI institute, said the document would prompt people “at the forefront of these tools” to ask questions such as “What does it mean to be human?”

News Source
EXCERPT:

There is a category of production incident that engineering teams are not tracking yet — because it doesn’t fit any existing postmortem template.

The agent initiated an action. The action was technically correct given the agent’s context. The context was incomplete. The infrastructure cascaded. And, by the time the incident review happened, three teams were arguing about whether it was an agent failure or an infrastructure failure,  because the frameworks for thinking about these two things have never been connected.

The scale of this exposure is no longer theoretical. Seventy-nine percent of organizations now have some form of AI agent in production, with 96% planning expansion. Gartner predicts 33% of enterprise software will include agentic AI by 2028, but separately warns that 40% of those projects will be canceled due to poor risk controls.

What neither statistic captures is the failure mode happening between those two numbers: Agents that are running, that are not canceled, and that are quietly generating infrastructure events no one has categorized as risk.

News Source
EXCERPT:

Chinese AI startup DeepSeek just made one of the boldest pricing moves in the artificial intelligence race so far. The company announced it is permanently slashing the cost of its flagship V4-Pro AI model by 75%, bringing prices down to just a fraction of what developers were paying only weeks ago. AI companies worldwide have been facing two major problems: high infrastructure costs and limited access to high-end AI chips. So when a company suddenly cuts prices this aggressively — and permanently — it usually signals something important is changing behind the scenes.

DeepSeek says usage costs for V4-Pro now range from 0.025 to 6 yuan per million tokens, depending on workload type, down sharply from the previous pricing range of 0.1 to 24 yuan per million tokens. For developers building AI apps, agents, and services, that kind of drop could significantly lower operating costs.

News Source
EXCERPT:

Microsoft AI chief executive Mustafa Suleyman is warning that artificial intelligence could soon replace large portions of the white-collar workforce, predicting that AI systems will reach human-level performance across most professional tasks within the next 18 months.

The comments mark one of the clearest timelines yet from a major tech executive about how quickly AI could disrupt office-based professions, including law, accounting, marketing, and project management.

Speaking with the Financial Times, Suleyman said that most work involving “sitting down at a computer” is now vulnerable to automation as AI capabilities rapidly advance.

News Source
EXCERPT:

Pope Leo XIV has delivered a stark warning on artificial intelligence, claiming that the technology is aiding the “normalization of war” and transferring powers of life and death to unaccountable “technological actors.”

The American-born pontiff presented his warning on Monday in an encyclical titled ‘Magnifica Humanitas’ (Magnificent Humanity). In the 42,000-word document, Leo highlighted how the “growth of the military-industrial complex has become a defining feature of the current political landscape,” leading to “a troubling revival of war as an instrument of international politics.”

In this environment, “the development and use of AI in warfare must be subject to the most rigorous ethical constraints, to guarantee respect for human dignity and the sanctity of life and to avoid a race to develop such arms,” he continued.