05 Sci-Tech

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On April 15, technology podcaster Dwarkesh Patel published a two-hour interview with Nvidia CEO Jensen Huang. For roughly forty minutes, Patel asked one question six different ways. The question was this: If American-made compute trains AI models with the serious cyber-offensive capabilities Anthropic’s Mythos Preview demonstrated — and that compute is sold to a strategic adversary — what responsibility does the seller bear?

Huang’s answers hovered a safe distance away from the question. AI is a “five-layer cake,” he told Patel, and ceding any layer to China would be industrial suicide. The Chinese, he argued, already have enough compute to do whatever they intend to do, so marginal sales do not change the strategic balance. By the end, Patel was visibly worn down. Huang accused him of arguing from extremes and of thinking in absolutes.

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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.”

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Iran has claimed that it has deployed a new air defence system to take down a United States MQ-9 Reaper drone near the Strait of Hormuz earlier this week. Iran’s state-sponsored media said the American drone– that costs between $16 million and $30 million per unit– was brought down near Qeshm Island in the Strait of Hormuz using a locally developed system called Arash-e-Kamangir.

If the claim is correct, the interception marked the first combat use of the defence system named after the legendary Iranian character Arash-the-Archer. It would mean Tehran has retained its military capacity to repel US and Israeli attacks despite months of war in the Middle East.

Iranian media claimed the drone was brought down over regional waters during an operation to protect the country’s airspace and maritime borders. “This operation, which was carried out using a system with hidden capabilities, is a clear and decisive message from Iran,” Iran’s Fars news agency quoted unnamed officials as saying.

However, so far, no independent source has corroborated the Iranian claim of a new interception system.

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A Blue Origin rocket exploded on Thursday night as the company conducted a static fire test.

The New Glenn rocket, which was being tested at Cape Canaveral Space Force Station in Florida, “experienced an anomaly” during a “hotfire test,” Blue Origin confirmed on social media, as reported by WOFL.

“All personnel have been accounted for. We will provide updates as we learn more,” the post from Blue Origin added.

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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.

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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.

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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.

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The rivalry between Jeff Bezos and Elon Musk has officially reached the Moon. NASA announced on Tuesday that it had selected Bezos’s Blue Origin to carry out the first in a planned series of three uncrewed lunar missions aimed at preparing for a future Moon base, handing the company a contract worth about $230M. The mission, expected no earlier than fall 2026, will use Blue Origin’s Blue Moon cargo lander to transport scientific payloads and test technologies near the Moon’s south pole. While SpaceX remains deeply involved in NASA’s Artemis programme, the decision marks a symbolic win for Bezos in the increasingly intense billionaire battle shaping the future of space exploration.

Jeff Bezos’s Blue Origin takes centre stage in NASA’s Moon base ambitions

For years, NASA’s idea of building a long-term human presence on the Moon existed mostly as an ambition tied to the Artemis programme. Tuesday’s announcement showed the agency is now moving into the practical phase.NASA administrator and entrepreneur Jared Isaacman said the first three uncrewed missions will help test landers, rovers, cargo systems and survival technologies needed to support astronauts on the lunar surface in the future. More than a dozen additional missions are expected later as the agency works towards creating an operational Moon base sometime in the next decade.The first mission will target the Shackleton de Gerlache Ridge region near the lunar south pole, an area scientists believe may contain water ice. NASA sees the region as critical because future explorers could potentially use the ice for drinking water, oxygen production and rocket fuel.

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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.

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A back molar found in a Siberian cave is believed to be the oldest evidence of dental treatment. About 59,000 years ago, someone carefully drilled a cavity in the tooth to ease a toothache.

It was a Neanderthal who had done it. The tooth, Chagyrskaya 64, is a lower left second molar recovered from Chagyrskaya Cave in the Russian Altai Mountains. A huge, odd-shaped cavity extends to the almost complete occlusal floor of the tooth crown, reaching well into the pulp chamber.

The researchers report in the May 13 issue of PLOS One that this concavity cannot be explained by decay, wear, or geological processes alone. Rather, it was made with a small, pointed stone tool to treat severe dental decay.

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A suspected Ebola case has sparked concern in Austria amid fears the deadly disease may have already spread to Europe. Health officials in Austria said the patient became ill shortly after returning from Uganda, where they are believed to have contracted the newly identified Bundibugyo strain.

It comes as the head of the World Health Organization (WHO) warned that ongoing conflict in the Democratic Republic of Congo is hampering the Ebola outbreak response. Dr Tedros Adhanom Ghebreyesus said Ituri province in the east of the country was at the centre of a “catastrophic collision of disease and conflict”. In a statement posted on X, Tedros said the WHO could not “build community trust or isolate the sick while bombs are falling”.

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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.

Texas A&M Scientists have developed a nasal spray that reduces inflammation in the brain. The spray is being heralded as a potential effective treatment for dementia and Alzheimer’s patients. Research leader Dr. Ashok Shetty said, “Brain age-related diseases like dementia are a major health concern worldwide. What we’re showing is brain aging can be reversed, to help people stay mentally sharp, socially engaged and free from age-related decline.”

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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.

 

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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.

 

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Starlink Mini is already the version of SpaceX’s internet dish built for on-the-go connectivity. It has found its fans in travelers, campers, vanlifers, and others who live off the grid. But new firmware clues suggest SpaceX may be getting ready to make it even more portable by putting the battery inside the dish itself.

According to a PCMag report, university researcher Jinwei Zhao spotted new Starlink firmware strings that point toward a possible Starlink Mini model with an integrated battery. The key clue is a new DishBatteryStats reference, which appears designed to return battery-specific information rather than simply detect that the dish is plugged into some random external power bank.

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Nearly every animal species, including humans, has blood cells. But blood is not the same across the animal kingdom. Different species have evolved different types of blood and immune cells, reflecting millions of years of adaptation against infection and disease.

Scientists already understand a great deal about the makeup and function of blood cells in humans and mice thanks to advances in hematology and immunology. What has remained unclear is how these cells first appeared and evolved over time. To answer those questions, researchers at Kyoto University set out to trace the origins and diversification of blood cells across the animal world.

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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.

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Sunday on “The Alex Marlow Show,” Breitbart News social media director Wynton Hall, author of Code Red: The Left, the Right, China, and the Race to Control AI talked about Anthropic. Hall said, “People at Anthropic…they are largely at the center of

The post ‘Effective Altruist Movement’: Big Tech Elite Still Donating Big to Dems, A.I. Expert Warns appeared first on Breitbart.

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China just launched fake human embryos to its space station for a new research mission

China’s artificial embryos are part of an experiment to learn more about how human pregnancies could develop under microgravity conditions

Science Photo Library–ZEPHYR/Getty Images

A clutch of artificial human embryos on China’s Tiangong space station could help researchers better understand whether human pregnancies in space are possible and safe.

The Chinese Academy of Sciences says the experiment marks the first study on human artificial embryos in space. The artificial embryos are actually structures derived from stem cells, and they mimic how embryos form during the early days of pregnancy. These structures wouldn’t be able to develop into humans even if they were implanted into a uterus. Researchers originally conceived these artificial embryolike structures as a model to study the earliest moments of development because of widespread international rules aimed at restricting research on real human embryos that are older than two weeks after fertilization.

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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.