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Is Gemini 2.5 Pro the AI breakthrough that will redefine machine intelligence? Google’s latest innovation promises to solve one of AI’s biggest hurdles: true reasoning. Unlike chatbots that regurgitate data, Gemini 2.5 Pro mimics human-like logic, connecting concepts, spotting flaws, and making decisions with unprecedented depth. This isn’t an upgrade—it’s a revolution in how machines think.

What makes Gemini 2.5 Pro unique? Built on a hybrid neural-symbolic architecture, it merges brute-force data processing with structured reasoning frameworks. Early tests show it outperforms GPT-4 and Claude 3 in complex tasks like legal analysis, medical diagnostics, and ethical dilemma navigation. We’ll break down its secret sauce: adaptive learning loops, context-aware problem-solving, and self-correcting logic that learns from mistakes in real time.

How will this impact you? Developers can build AI that understands instead of just parroting, businesses can automate high-stakes decisions, and educators might finally have a tool to teach critical thinking. But there’s a catch: Gemini 2.5 Pro’s \.

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“The backing of these global financial institutions is a testament to the strength of our business and the resonance of our mission,” Krishna Rao, Anthropic’s finance chief, said in a statement.

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A new study led by researchers from Michigan State University, Yale University and Johns Hopkins University reveals that ransomware attacks—which involve a hacker putting encryption controls into a file and then demanding a ransom to unlock the files—have become the primary driver of health care data breaches in the United States, compromising 285 million patient records over 15 years.

Published May 14 in JAMA Network Open, the study provides the first comprehensive analysis of ransomware’s role in health care breaches across all entities covered by privacy laws—hospitals, physician practices, and data clearinghouses—from 2010 to 2024.

“Ransomware has become the most disruptive force in health care cybersecurity,” said John (Xuefeng) Jiang, Eli Broad Endowed Professor of accounting and in the MSU Broad College of Business and lead author of the study. “Hospitals have been forced to delay care, shut down systems and divert patients—all while sensitive patient data is held hostage.”

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While some quantum computing companies push to demonstrate near-term commercial value, Rigetti Computing is taking a different approach. The company has identified specific technical milestones it said must be achieved before quantum systems can deliver meaningful business results, including 99.9% fidelity, 20-nanosecond gate speeds and real-time error correction.

In an interview we conducted at The Economist Commercializing Quantum event, Rigetti CEO Subodh Kulkarni outlined how the company’s novel chiplet-based architecture could help scale systems to 10,000 qubits, while also revealing an intriguing potential role for quantum computing in advancing artificial general intelligence.

Enter Quantum: What’s your take on the debate between return on investment versus technical capability in quantum computing?

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What happens when AI starts improving itself without human input? Self-improving AI agents are evolving faster than anyone predicted—rewriting their own code, learning from mistakes, and inching closer to surpassing giants like OpenAI. This isn’t science fiction; it’s the AI singularity’s opening act, and the stakes couldn’t be higher.

How do self-improving agents work? Unlike static models such as GPT-4, these systems use recursive self-improvement—analyzing their flaws, generating smarter algorithms, and iterating endlessly. Projects like AutoGPT and BabyAGI already demonstrate eerie autonomy, from debugging code to launching micro-businesses. We’ll dissect their architecture and compare them to OpenAI’s human-dependent models. Spoiler: The gap is narrowing fast.

Why is OpenAI sweating? While OpenAI focuses on safety and scalability, self-improving agents prioritize raw, exponential growth. Imagine an AI that optimizes itself 24/7, mastering quantum computing over a weekend or cracking protein folding in hours. But there’s a dark side: no “off switch,” biased self-modifications, and the risk of uncontrolled superintelligence.

Who will dominate the AI race? We’ll explore leaked research, ethical debates, and the critical question: Can OpenAI’s cautious approach outpace agents that learn to outthink their creators? Like, subscribe, and hit the bell—the future of AI is rewriting itself.

Can self-improving AI surpass OpenAI? What are autonomous AI agents? How dangerous is recursive AI? Will AI become uncontrollable? Can we stop self-improving AI? This video exposes the truth. Watch now—before the machines outpace us.

#ai.

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And, the all new ShowSync, an AI-powered lead capture tool for trade shows. Just snap a photo, and ShowSync does the rest.

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Growing these seed crystals in space could lead to much more pure wafers, says Western: “You can almost press the reset button on what we think is the limit of a semiconductor.”

Frick’s company Astral plans to do this with a mini fridge-sized furnace that reaches temperatures of about 1,500 degrees Celsius (2,700 degrees Fahrenheit). The applications of crystal growth are not just limited to semiconductors but could also lead to higher quality pharmaceuticals and other materials science breakthroughs.

Other products made in space could be produced with similar benefits. In January, China announced it had made a groundbreaking new metal alloy on its Tiangong space station that was much lighter and stronger than comparable alloys on Earth. And the unique environment of low gravity can offer new possibilities in medical research. “When you shut off gravity, you’re able to fabricate something like an organ,” says Mike Gold, the president of civil and international space business at Redwire, a Florida-based company that has experimented with in-space manufacturing on the International Space Station for years. “If you try to do this on Earth, it would be squished.”

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When it comes to creating images of the earth from above, satellites, drones, planes and spacecraft are what tend to come to mind. But a startup called Near Space Labs is taking a very different approach to taking high-resolution photos from up high.

Near Space Labs is building aircraft that are raised by helium balloons and then rely on air currents to stay up, move around to take pictures from the stratosphere, and eventually glide back down to earth. On the back of significant traction with customers using its images, the startup has now raised $20 million to expand its business.

Bold Capital Partners (a VC firm founded by Peter Diamandis of XPRIZE and Singularity University fame), is leading the Series B round. Strategic backer USAA (the U.S. Automobile Association) is also investing alongside Climate Capital, Gaingels, River Park Ventures, and previous backers Crosslink Capital, Third Sphere, Draper Associates, and others that are not being named. Near Space Labs has now raised over $40 million, including a $13 million Series A in 2021.

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