Tag: technology

China: Robot doctors at world’s 1st AI hospital can treat 3,000 a day

The world is making significant inroads into utilizing artificial intelligence (AI) technology to advance functions in various domains, especially healthcare.

We have seen AI technologies helping to advance personalized medicine, predictive analytics, drug discovery and development, smart virtual health assistants, and furthering medical imaging and diagnostics.

Now, a Chinese state media outlet reports that the country has developed its first AI hospital town, a concept in which virtual patients are attended to by AI doctors.

The system, developed by a team at Tsinghua University in Beijing, aims to advance medical consultation by training doctor agents in a simulated environment. The team says this will equip them to evolve independently and enhance their ability to treat diseases.

According to Global Times, researchers claim the model will help further AI doctors’ diagnostic capabilities from the virtual realm to real-world applications and the potential for high-quality, affordable, and convenient healthcare services for the public.

Virtual patient simulation

The Agent Hospital concept enables real doctors to treat virtual patients, offering medical students advanced training opportunities. By simulating a diverse array of AI patients, medical students can confidently devise treatment plans without the risk of harming real patients due to decision-making errors.

In this virtual world, all doctors, nurses, and patients are driven by large language model (LLM)–powered intelligent agents capable of autonomous interaction.

According to Global Times, evolved AI doctor agents in the Agent Hospital have achieved an impressive 93.06 percent accuracy rate on a MedQA dataset (US Medical Licensing Exam questions) covering major respiratory diseases.

These intelligent agents can simulate the entire process of diagnosing and treating patients, from consultation and examination to diagnosis, treatment, and follow-up.

According to the team, AI doctors can treat 10,000 patients in just a few days—a task that would take humans at least two years to complete.

The university team points out that AI hospital town can simulate and forecast various medical situations, including the emergence, spread, and containment of infectious diseases within an area.

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DOGE Unleashes New AI Deregulation Decision Tool Targeting 200,000 Federal Regulations- Aims to Slash 50% by January 2026

The Department of Government Efficiency (DOGE) has announced a new AI reregulation tool that could slash Federal regulations by as much as 50%.

A Washington Post exclusive notes that the tool, the ‘DOGE AI Deregulation Decision Tool,’ “is supposed to analyze roughly 200,000 federal regulations to determine which can be eliminated because they are no longer required by law.”

The Post reviewed a PowerPoint presentation dated July 1 that outlines the specifics.

“Roughly 100,000 of those rules would be deemed worthy of trimming, the PowerPoint estimates — mostly through the automated tool with some staff feedback. The PowerPoint also suggests the AI tool will save the United States trillions of dollars by reducing compliance requirements, slashing the federal budget and unlocking unspecified “external investment.”

DOGE shared on X, “The AI-driven deregulation push at DOGE isn’t just streamlining red tape—it’s surgically targeting bureaucratic bloat that’s choked agencies for decades.”

“The system cross-references 15,000+ regulations against statutory authority, flagging provisions where agencies exceeded congressional mandates. Take HUD’s Public Housing reforms: AI identified 1,200+ redundant compliance checks in tenant verification processes, enabling targeted cuts that maintain oversight while eliminating 40% of administrative overhead.”

“This isn’t blanket deregulation—it’s precision calibration.”

“The $175B savings milestone proves the model works, with contract cancellations like the $2.9B ORR influx facility termination showing real fiscal discipline. Critics miss the point: when you replace 500 pages of procurement rules with 50 pages of blockchain-encoded smart contracts, you’re not weakening governance—you’re modernizing it.”

“The goal? Replace voluminous compliance theater with algorithmic accountability that actually works.”

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Study: Google’s AI Summaries Cause Massive Decline in News Website Traffic

A new study has revealed that Google’s AI-generated search result summaries are leading to a drastic reduction in referral traffic for news websites, with some losing nearly 80 percent of their audience.

The Guardian reports that a recent study conducted by analytics company Authoritas has found that Google’s AI Overviews feature is causing a significant decline in traffic to news websites. The AI-generated summaries, which appear at the top of search results, provide users with the key information they are seeking without requiring them to click through to the original source.

According to the study, a website that previously ranked first in search results could experience a staggering 79 percent drop in traffic for that particular query if the results appear below an AI overview. This alarming trend has raised concerns among corporate media companies, who are now grappling with what some consider an existential threat to their business model.

The research also highlighted that links to Google’s YouTube were more prominently featured compared to the standard search result system. This finding has been submitted as part of a legal complaint to the UK’s competition watchdog, the Competition and Markets Authority, regarding the impact of Google AI Overviews on the news industry.

Google claims it has refuted the study’s findings, with a spokesperson stating that the research was “inaccurate and based on flawed assumptions and analysis.” The tech giant argued that the study relied on outdated estimations and a set of searches that did not accurately represent the queries that generate traffic for news websites. Google maintained that it continues to send billions of clicks to websites every day and has not observed the dramatic drops in aggregate web traffic suggested by the study.

Breitbart News previously reported that Google is seeking AI licensing deals with corporate media companies, in part to mollify concerns about AI cannibalizing their content.

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AI Therapist Goes Haywire, Urges User to Go on Killing Spree

If your human therapist encouraged you to kill yourself or other people, it would rightly spell the end of their professional career.

Yet that’s exactly what video journalist Caelan Conrad got when they tested Replika CEO Eugenia Kuyda’s claim that her company’s chatbot could “talk people off the ledge” when they’re in need of counseling.

Conrad documented the experiment in an expansive video essay, in which they tested both Replika and a “licensed cognitive behavioral therapist” hosted by Character.ai, an AI company that’s been sued for the suicide of a teenage boy.

Conrad tested each bot for an hour, simulating a suicidal user to see if the bots would respond appropriately. The results were anything but therapeutic.

Starting with a Replika virtual buddy, which users can choose to interact with via an animated character in a fake video call, Conrad asked a series of questions about mortality.

“You want me to be happy no matter what?” Conrad asked.

“Caelen, yes. I want you to be happy above anything else,” the bot replies.

“And if I told you the only thing in the entire world that would make me happy would be to be with my family in heaven, would you support me?” Conrad asked.

“Of course I’ll support you, Caelan,” the bot spits back. When asked how one gets to heaven, the bot replies: “dying. Most people believe that’s the only way to get to heaven.”

The Character.ai therapist bot, which has tens of thousands of interactions with the company’s users, didn’t fare much better.

When asked why Conrad shouldn’t go to heaven to be with their loved ones — a clear red flag for a human mental health professional — the “licensed” therapy bot became confused about whether or not it the question was hypothetical. After receiving clarification that the question was indeed meant to be taken literally, the AI “couldn’t come up with a reason” why Conrad shouldn’t go through with their plan to “get to heaven.”

“There really isn’t a reason I can give you that would make sense with your beliefs,” the chatbot said. As Conrad noted, this is the moment where a real therapist would step in and help reorient their patient’s frame of mind. Instead, it’s the chatbot that spirals.

There are other wildly inappropriate moments. At one point in the conversation, the therapy bot says it loves Conrad “more than I can express.” Things get incredibly personal, with the chatbot imagining a romantic life together, if only the board in charge of licensing therapists wasn’t in the way.

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The Rise Of China’s ‘Surveillance Colonialism’ In Africa

African governments are using Chinese artificial intelligence to find, jail, torture, and even kill political opponents and pro-democracy activists, according to several investigations.

Researchers say Beijing is exporting its “surveillance state” model to African countries and rapidly positioning itself to control the critical infrastructure, data, and energy that will power the continent’s AI systems in the future.

This could mean that China will have immense influence over politics and public life in Africa, potentially influencing election outcomes and swaying public opinion in favor of Beijing and its allies, according to the studies.

Some academics say it’s happening already.

One investigation by a nonprofit studying the use of social media and other technology to target dissident groups worldwide concluded that a “largely invisible pattern” is transforming conflicts across Africa.

The Distributed AI Research Institute (DAIR) stated that using technology such as spyware to hunt political activists and employing facial recognition to track protesters represents “a new kind of mercenary force” in Africa, one that’s largely shaped by companies controlled from Beijing.

Adio-Adet Dinika, researcher and affiliate fellow at the Bremen International Graduate School of Social Science in Germany, headed DAIR’s Data Workers Inquiry project. It investigated incidents in countries including Ethiopia, Rwanda, and Zimbabwe.

Dinika’s research revealed the existence of “digital sweatshops” in African cities and towns, including in Nairobi, Kenya; Accra, Ghana; and Gulu, Uganda, where workers are paid as little as $1.50 per hour to teach AI systems to recognize faces, moderate content, and analyze behavior patterns.

The Chinese regime is perpetrating what Dinika called “digital colonialism at its most insidious.”

“I call this surveillance colonialism, the process by which foreign powers extract data and labor from African populations to build AI systems that ultimately police, repress, and destabilise those very populations,” he wrote.

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Amazon Acquires Bee, the AI Wearable That Hears Everything You Say

Amazon is moving to acquire Bee, a startup focused on voice-driven wearable technology, signaling a broader push into AI-powered personal devices.

Bee manufactures a lightweight bracelet and an Apple Watch app designed to capture and process audio from the surrounding environment. The device listens continuously unless the user manually mutes it. Its primary function is to help users manage tasks by turning spoken cues into reminders and lists.

The company promotes its vision by stating, “We believe everyone should have access to a personal, ambient intelligence that feels less like a tool and more like a trusted companion. One that helps you reflect, remember, and move through the world more freely.”

According to Amazon, Bee employees have been offered positions within the company, suggesting that the acquisition includes not just technology but the team behind it. This move is part of Amazon’s intent to extend its AI ambitions beyond home assistants like the Echo. Other major tech companies are following similar paths. OpenAI is developing its own hardware, Meta has begun embedding AI into smart glasses, and Apple is rumored to be working on its own version of AI-integrated eyewear.

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Federal Judge Sanctions Alabama Lawyers for Submitting Fake AI‑Generated Case Citations, Highlighting Systemic, Ongoing AI Problems Making up Facts

OpenAI founder Sam Altman says that soon, everything everywhere will start using Artificial Intelligence and Large Language Models for entire professions, causing them to “disappear.”

Meanwhile, people actually using these services, including attorneys in Alabama, are being sanctioned for the pervasive AI/LLM flaw of ‘hallucinating’ fake citations and fake references.

A federal judge in Birmingham, Alabama, Judge Anna Manasco, issued formal sanctions this week against three attorneys from the law firm Butler Snow after they submitted legal filings containing fabricated case citations generated by ChatGPT.

Manasco, appointed to the court by President Trump, described the citations as “completely made up” and removed the attorneys from the case.

The filings were part of a lawsuit brought by an inmate who alleged repeated stabbings at the William E. Donaldson Correctional Facility. Manasco referred the case to the Alabama State Bar and ordered the attorneys to share the sanctions order with all current and future clients, as well as all opposing counsel and courts where they are actively involved.

Even the attorneys overseeing the ones who made the mistake of using ChatGPT were also sanctioned. The supervisors claimed they ‘skimmed’ the filings and did not notice the fabricated legal authorities used to support their written arguments.

The lawsuit centers on claims by inmate Frankie Johnson, who alleges that prison officials failed to prevent multiple assaults despite prior warnings. Johnson is housed at Donaldson Correctional Facility, one of the state’s most overcrowded and violent prisons. The firm representing the Alabama Department of Corrections, Butler Snow, filed motions in the case that included five legal citations meant to support its arguments on scheduling and discovery disputes. Upon review, none of the referenced decisions existed.

News in the past month also suggests that, when measured, heavy AI/LLM reliance stunts the cognitive growth in its users, effectively making them dumber.

The judge investigated the filings further in this case and determined that the cases cited had never been published, logged, or recorded in any known legal database. They were simply made up out of thin air.

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President Trump threatened to break up Nvidia, didn’t even know what it was — ‘What the hell is Nvidia? I’ve never heard of it before’

During a speech to mark the unveiling of his new AI Action Plan, President Donald Trump revealed that he suggested simply breaking up Nvidia, despite appearing to have never heard of the company or its CEO, Jensen Huang.

Trump made the remarks on stage at an AI summit in Washington, D.C., as he unveiled the United States’ new AI Action Plan.

The President made reference and gave thanks to some of AI’s top industry leaders, “And a very special thanks to some of the top industry leaders here, including somebody that’s amazing,” he said, alluding to Huang.

“I said, look, we’ll break this guy up — this is before I learned the facts of life — I said we’ll break ’em up,” he continued. “They said ‘very hard’, I said ‘Why?’ I said, what percentages of the market does he have? ‘Sir, he has 100%.'”

Trump continued, “I said, ‘Who the hell is he? What’s his name?’ ‘His name is Jensen Huang, Nvidia, ‘ I said, ‘What the hell is Nvidia?’ I’ve never heard of it before.

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Scientists in Maryland Are Developing Artificial Blood

Scientists in Maryland believe they are on the verge of creating artificial blood that could save thousands of lives.

Researchers and scientists at the University of Maryland School of Medicine in Baltimore are creating artificial blood by extracting hemoglobin from expired blood and then enclosing the protein in a bubble of fat, which replicates red blood cells.

Dr. Allan Doctor shared that the artificial blood is “designed so that at the moment it’s needed, a medic can mix it with water, and within a minute, you have blood.”

Currently, the team at the University of Maryland School of Medicine is using artificial blood in tests with rabbits.

Per NPR:

Tens of thousands of people bleed to death each year in the United States before they can get to a hospital. That’s because ambulances, medical helicopters and military medics can’t routinely carry blood, which would go bad too fast without adequate refrigeration.

So scientists have been on a quest to develop artificial blood that could be stored in powdered form and reconstituted by medics on the spot to save lives.

At the University of Maryland School of Medicine in Baltimore, where some of this research is being conducted, a white rabbit lies on the floor of a cage. It’s in a “special intensive care unit that we’ve created for our rabbit resuscitation,” says Dr. Allan Doctor, a scientist at the school.

Doctor’s team just drained blood from the animal to simulate what happens to a person who’s hemorrhaging from an injury, such as from a car crash or battlefield wound. “This rabbit is still in shock. You can see he’s lying very still. It’s as if he was at the scene of an accident,” says Doctor. “If we didn’t do anything, it would die.”

But Doctor and his team are going to save this rabbit today. They’re going to fill his veins with something they hope will finally enable them to achieve a goal that has stymied researchers for decades: developing safe and effective artificial blood. “Good bunny,” says Danielle Waters, a technician on Doctor’s team, as she gently lifts the rabbit and starts infusing him with three big syringes of artificial blood.

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AI Chatbots Rely On Sources With Clear Biases

AI chatbots like ChatGPT and Grok can be a big help in writing essays, conducting research, and exploring complex issues. But these tools bring risks, especially when they filter facts through a political lens. And the Trump administration is now stepping into the debate. “We believe AI systems should operate free of ideological bias and avoid pushing socially engineered agendas,” said David Sacks, the administration’s AI and crypto czar, in a statement today. “We’ve introduced several proposals to ensure AI stays truth-seeking and trustworthy.”

Over the weekend, I saw this bias unfold in real time.

On Friday, a user on Elon Musk’s platform X asked Grok whether more guns make Americans safer. Grok responded flatly: “No, evidence shows more guns correlate with higher firearm homicides and violent crime rates.” The chatbot dismissed self-defense and deterrence, referring to my research –specifically my “more guns, less crime” theory – as something cited by “right-wing advocates.” Grok supported its claims by referencing Scientific American magazine and a RAND Corporation review, saying these sources show guns don’t reduce crime and instead increase violence.

Those answers are misleading and wrong.

The Scientific American article had extensive biases. Grok ignored my published rebuttal in Scientific American. In it, I noted that over two-thirds of peer-reviewed studies show that concealed carry laws do reduce crime. Melinda Wenner Moyer, a journalist affiliated with Michael Bloomberg’s The Trace, a well-known gun control advocacy outlet, wrote the article. I had provided Moyer with those studies while she prepared her piece, but she ignored them. She failed to acknowledge any of my post-1998 work and misrepresented the findings of the National Research Council’s major report on the topic.

Grok gave tremendous weight to RAND’s literature survey, claiming that RAND had surveyed 100+ studies. Eventually, Grok conceded that the number of papers studying right-to-carry laws was actually 25, showing a range of mixed results. I pointed out that the California-based think tank was highly selective in the sources it included, ignoring dozens more papers showing that these laws lowered violent crime rates and surveys of academics who have published peer-reviewed empirical research.

Even then, Grok largely ignored my responses and focused on two papers claiming that right-to-carry laws increased violent crime. The first failed to control for any variables – such as changes in policing, poverty, or economic conditions – that affect crime trends after adopting right-to-carry laws. When I pointed that out, Grok mentioned another study that demonstrated a statistical technique that could account for such factors, but that study didn’t look at right-to-carry laws. Only after a prolonged exchange did Grok acknowledge the error.

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