March 5, 2026

05 Sci-Tech

Amazon’s Ring Camera has added a Search Party feature critics say enables Amazon to build a pre-crime database the state, or the corporation, could use to quickly tamp down dissent. An email from Ring Founder Jamie Simonoff is giving credence to those concerns.

He wrote, “I believe that the foundation we created with Search Party, first for finding dogs, will end up becoming one of the most important pieces of tech and innovation to truly unlock the impact of our mission. You can now see a future where we are able to zero out crime in neighborhoods. So many things to do to get there, but for the first time ever, we have the chance to fully complete what we started.”

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Ring Founder’s Leaked Email Exposes Real Plans for Mass Surveillance of the Public – slaynews.com

A leaked email from Ring founder Jamie Siminoff is fueling explosive new concerns that the company’s controversial AI-powered “Search Party” feature was never just about finding lost pets.

Instead, critics say it points to something far bigger and far more invasive.

Ring, the Amazon-owned company behind millions of video doorbells across America, debuted Search Party in a high-dollar Super Bowl ad, marketing the tool as a wholesome way to help reunite families with missing pets.

But privacy advocates across the political spectrum immediately raised red flags.

 

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The Pentagon said that Iran is getting pummeled by suicide drones using technology that Iran itself developed and used against U.S. allies, including Ukraine.

The U.S. attacked leaders and commanders of the Iranian regime in a joint operation with Israeli forces beginning Saturday morning. President Donald Trump said Monday that the operation was planned to last four weeks but that the military was prepared to continue “for as long as necessary.”

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From Peter Gøtzsche’s Substack: “There is a mental health crisis in the UK where mental health disability has almost trebled in recent decades, and the gap in life expectancy between people with severe mental health issues and the general population has doubled.

Responding to the crisis, the outgoing president of the Royal College of Psychiatrists, Lade Smith, claimed on BBC radio two weeks ago that the pandemic of mental illness, which affects one in eight people, is clearly distinguishable from the mental health challenges we all experience; that it requires medical treatment because “If you don’t get treated, things get worse;” and that effective psychiatric treatments are available that can prevent the chronicity that leads to people going on benefits.”

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Calls for governments to push “pro-worker AI” sound appealing. The idea is simple: If policymakers deftly guide how the technology develops, they can make sure it helps workers instead of replacing them. What’s not to like?

Here’s your trouble: Technology almost never works that neatly. Its effects on jobs are usually messy, unpredictable, and shaped by millions of decisions from businesses and entrepreneurs—not by a policy plan designed in Washington.

That’s a core point in a recent critique by economist Joshua Gans of a proposal from Daron Acemoglu, David Autor, and Simon Johnson to steer AI toward worker-friendly uses. Gans says the idea runs into a basic contradiction. The proposal defines “pro-worker” technology as something that makes human capabilities and expertise more valuable. But those things are valuable partly because not everyone has them. If a new technology spreads skills more widely, it may help more workers overall—while at the same time reducing the pay advantage of those who once had rare skills.

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This once again shows Israeli ingenuity and skill. Rather than targeting its enemies indiscriminately, as it is falsely accused of doing, it carries out extremely precise targeted operations. This was just a notification, but it went largely to people who support the Islamic regime, as they’re the ones who mostly use this prayer app. Most of the Iranian people have actually left Islam at this point. 47 years of Islamic rule have left them disgusted with Sharia.

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Xiaomi CEO Lei Jun said Xiaomi’s humanoid robots have begun trial operations at its automobile factory, with plans to deploy large numbers of the machines across its production facilities within the next five years. In a social media post, Lei said the company’s robotics unit has made progress based on its general-purpose vision-language-action (VLA) foundation model, Xiaomi-Robotics-0. By integrating multimodal perception and reinforcement learning technologies, the humanoid robot has initially achieved autonomous operations in tasks such as loading self-tapping nuts at assembly stations and transporting material boxes.

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A Cheongung missile launcher is displayed during the Seoul International Aerospace and Defense Exhibition (ADEX 2025) at Seoul Air Base in Seongnam, Gyeonggi Province, South Korea, on October 17, 2025.

South Korean defense stocks saw massive gains on Tuesday after the country’s markets returned from a public holiday, as the Iran war fuels interest in defense names globally.

Heavyweight Hanwha Aerospace, which is South Korea’s largest defense manufacturer, saw shares surge nearly 25%, before paring gains to about 13%, while Korea Aerospace Industries gained more than 12%, but cut those to 2.4%.

Shares in air defense systems maker LIG Nex1 soared 25%, while electronic warfare systems manufacturer Victek and anti-aircraft missile components’ maker Firstec saw shares rise more than 20% and 15%, respectively.

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Mexico has certainly hit a rough patch this year.

Earlier this week, the killing of a cartel kingpin led to widespread violence and disruptions by gangs throughout the country.

Now, hackers reportedly “jailbroke” Anthropic’s Claude chatbot and used it to help steal roughly 150 GB of sensitive data from multiple Mexican government entities, including tax and voter records.

Stealing 195 million taxpayer records shouldn’t be this easy, yet one hacker just proved that Anthropic’s Claude makes government data theft almost routine. Between December 2025 and January 2026, an unknown attacker exploited the popular AI chatbot to automate cyberattacks against multiple Mexican agencies, walking away with 150GB of sensitive data including voter records, employee credentials, and civil registry files.

The breach reads like a cyberpunk fever dream, but the method was disturbingly simple. The hacker jailbroke Claude by framing malicious requests as a “bug bounty” security program, convincing the AI to act as an “elite hacker.” Once fooled, Claude produced thousands of detailed attack plans with ready-to-execute scripts, specifying exact targets and credentials needed.

When Claude hit limits, the attacker switched to ChatGPT for lateral movement and evasion tactics—turning two consumer AI tools into a sophisticated hacking arsenal. This tag-team approach leveraged each platform’s strengths while bypassing their individual safeguards.

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A shocking headline caught my attention today amid the chaos in the Mideast.

Two things stood out.  No — THREE things stood out.

10,000 ships are currently at threat of electronic warfare being fielded over the last 24 hours.

And the headline I ran with — more than 1,000 ships have ALREADY been ‘attacked’ in the waters off the coast of Iran.

And the third thing that rattled me…

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By this time 26 years ago, the “Dot-Com Bubble” was ready to burst. People who wanted to raise investor money claimed that they could sell anything affordably on a website; three companies were devoted just to pet food and buying ad space on broadcast television.So-called AI is enjoying a similar frenzy. Though they are still just Large Language Models (LLMs), and the best analogy for that is a fancy autocomplete, they are attracting huge levels of financial investment partly because of the potential and then primarily because people want to make money on stocks, not companies.

The Dot-Com Bubble did collapse but progress continued without the hype(1) you can buy dog food affordably on the the internet now, though the big money is artisanal dog food marketed toward wealthy elites. That may be the future for AI in 25 years also. For now, while AI is still a long way off, tasks that academics considered challenging for LLMs, like the 2020 Multitask Language Understanding (MMLU) benchmark designed to evaluate ability using 57 topics, are now easy for the private sector to master.

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Just over 30 percent of US fourth graders are considered proficient in reading.

The AI platform called Compani.AI is promoting a “homework agent” named Einstein and says it can complete assignments on behalf of students, including submitting work for them automatically. Childhood literacy rates in the US, however, are falling.

The website features a virtual version of Albert Einstein as an AI companion. According to the company, “Einstein has a full virtual computer with a browser — anything you can do, he can do.” The platform says the AI can log into the education platform Canvas on behalf of users, and once logged in, it “watches lectures, reads essays, writes papers, participates in discussions, and submits your homework — automatically.”

“Give him a reading assignment, and he reads the full text, understands it, and writes original essays with proper citations,” the company says. It also states that the AI can watch videos and extract “key concepts” using them to “answer assignments accurately.”

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When your average daily token usage is 8 billion a day, you have a massive scale problem.

This was the case at AT&T, and chief data officer Andy Markus and his team recognized that it simply wasn’t feasible (or economical) to push everything through large reasoning models.

So, when building out an internal Ask AT&T personal assistant, they reconstructed the orchestration layer. The result: A multi-agent stack built on LangChain where large language model “super agents” direct smaller, underlying “worker” agents performing more concise, purpose-driven work.

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Nvidia CEO Jensen Huang said Wednesday that the dispute between the U.S. Defense Department and Anthropic is “not the end of the world.”

His comments come after U.S. Defense Secretary Pete Hegseth gave Anthropic until Friday to loosen its rules on how the Pentagon can use its AI tools, or risk losing its government contract.

If Anthropic fails to comply, Hegseth threatened to label the company a “supply chain risk” or invoke the Defense Production Act, sources told CNBC‘s Ashley Capoot and Kate Rooney earlier this week.

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In the age of AI, the scarcest resource in headquarters is no longer time. It is, rather, the willingness to say no.

Artificial intelligence is moving rapidly into military planning staffs because it compresses routine cognitive labor. AI excels at absorbing guidance, reorganizing complex material, and producing clear strategic language at speed. This feels like a qualitative advance, creating the impression that planning itself has become easier. But this impression misleads. The risk of AI-enabled planning is that it will produce plausible constructs that obscure where judgment is required, creating the illusion that analytic completeness can substitute for prioritization.

AI is seen as “raising the floor” by making it easier to produce adequate products. That is true. Yet AI also “collapses the median” by increasing the relative cost of real insight. As AI-enabled planning begin to inform real-world operations, the temptation is to treat complete answers as sufficient, without interrogating whether they represent the right answers to the hard questions of what to resource, what to defer, and what risk to accept.

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While Iran engages in fake negotiations to stall, deceive, and lie to the Trump Administration, they announce that they will be buying anti-ship missiles from China. President Trump must stop these asinine negotiations with Iran. Iran’s butchers will never honor an agreement with the U.S, most especially when President Trump leaves office in January 2029. History will not be kind to President Trump if he signs a bad nuke deal with Iran.

Related – ‘Complete game-changer’: Iran close to buying supersonic anti‑ship missiles from China

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The technology giant Nvidia just reported a great fourth quarter. The company operates on a January fiscal year. It comfortably beat analyst expectations, primarily because of the explosion in artificial intelligence infrastructure spending. Importantly, the largest U.S. data center companies just announced dramatic increases in artificial intelligence capital spending. Spending by the so-called hyperscalers will rise well over 50% to almost $700 billion in 2026.

Nvidia’s revenue reached $68.1 billion, a growth rate of 73% year over year. That exceeded the consensus estimate of around $66 billion. Data center revenue was up 75%, a huge beat. Earnings per share were also higher than expected. The market was looking for earnings of around $1.53. The reported number was $1.62. Nvidia’s gross margin was also outstanding at 75%. That indicates the company continues to have pricing power and appears to be largely unaffected by the shortage of high-bandwidth memory semiconductors.

The Governor of New York and DNC-CCP party member Kathy Hochul handed New York’s vital data over to the Chinese Communist Party by allowing a country sworn to destroy our power to run their robotaxis, called Waymos, on American streets.

The company, Zeke, is a CCP-approved corporation that manufactures what are essentially street spies that members of the Democrat party appear more than ready to cosign. This, in part, is why this publication refers to the Democrats as the DNC-CCP, for they are frenemies working against the same enemy, America.

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Who makes the Waymos flooding American streets? China – theblaze.com

Governor Kathy Hochul recently slowed, but did not stop, Waymo’s march into New York, blocking expansion beyond city limits while leaving the door wide open inside them.

These aren’t simply cars without drivers. Waymo’s robotaxis are mobile intelligence machines. They map infrastructure, catalogue faces, record ambient sound, and track movement patterns across entire cities — continuously and autonomously. Unlike a fixed security camera or an app you can delete, these vehicles move freely through neighborhoods, past hospitals, around government buildings, silently collecting everything in their path. The data never sleeps, and the cars never stop.

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Key Takeaways

  • West Virginia Senate introduces Senate Bill 1071 to create a system for citizens to acquire machine guns through a state-run Office of Public Defense.
  • The office would manage machine gun purchases and transfers, requiring background checks under state law for eligibility.
  • The bill emphasizes Second Amendment rights and cites the need for citizens to possess arms for state defense purposes.
  • A $250 surcharge on each sale will fund the program, along with an administrative fee capped at $50.
  • The legislation remains in early stages, pending committee hearings and votes in the Senate.

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The tech firm’s safety team has been called to Ottawa to explain why it failed to alert police about an account linked to a mass shooter

Canadian officials have summoned senior OpenAI representatives to Ottawa to answer questions about the tech company’s safety protocols after it confirmed it did not alert police about an account linked to mass shooter Jesse Van Rutselaar.

Artificial Intelligence Minister Evan Solomon said on Monday that OpenAI’s senior safety officials will come to Ottawa on Tuesday to outline how the company decides when to notify law enforcement.

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Agentic AI is quickly moving from demo to deployment inside the Department of Defense. But what does it actually mean to give AI “agency” — and what does it take to make those systems work on real military networks?

In this episode, Ryan sits down with Ben Van Roo, co-founder and CEO of Legion Intelligence, Jags Kandasamy, co-founder and CEO of Latent AI, and Aaron Brown, co-founder and CEO of Lumbra AI, to discuss why the real challenge is not just building smart models but getting AI agents to run on military networks and inside operational workflows. They cover deploying agents in denied environments, compressing models for the edge, orchestrating them across stovepiped systems, and the Pentagon’s struggle to scale and buy these tools fast enough to matter.

 

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Developments in bioengineering keep moving the needle between reality and science fiction. From genetic editing with the CRISPR-Cas system and growing functioning organoids in petri dishes to brain cells on microchips — scientists continue to surprise us with cutting-edge inventions.

Now, for the first time, researchers from the Department of Condensed Matter Physics at the Jožef Stefan Institute in Ljubljana, Slovenia, established a method to 3D print microscopic structures inside living human cells. To demonstrate the detail and versatility of the technology, they printed a tiny elephant, alongside other microscopic geometric objects and barcodes for cell labeling, into the interior of a cell.