This video explores the Kardashev scale and the type 1 to type 7 civilizations. Related terms: ai, future business tech, future technology, future tech, future business technologies, future technologies, artificial intelligence, kardashev scale, type 7 civilization, type 6 civilization, type 5 civilization, type 4 civilization, type 3 civilization, type 2 civilization, type 1 civilization, etc.
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Their search for Earthâs lost spices just crash-landed them into a world of trouble! đ„ When the six-member crew of the Serrano wrecks their ship; Kent, C-LA, Ada, Eloy, Mod and Nexus must race against time and some mysterious planet inhabitants to escape before they become the main course.
Whatâs next for Spice Frontier?
Steamroller Animation is an independent studio that has thrived in a competitive industry for more than a decade. While weâve built a successful business providing high-quality animation services, our budget for original content is limited.
Spice Frontier: Escape from Veltegar marks our first pilot-length episode, created with a new real-time pipeline in Unreal Engine. Over the past 3.5 years, weâve invested our profits into developing this technological framework that will support a future range of incredible stories.
Spice Frontier is our industry calling card, and weâre seeking investment, co-production partners, broadcasters, and distributors to bring future episodes to life.
Support independent filmmaking so we can share more Spice Frontier with the world!
A critical privilege escalation vulnerability has been discovered in the premium WordPress theme Motors, which allows unauthenticated attackers to hijack administrator accounts and take complete control of websites.
Developed by StylemixThemes, Motors is one of the top-selling automotive themes for the WordPress platform. It is very popular among automotive businesses such as car dealerships, rental services, and used vehicle listing platforms.
It has over 22,300 sales on the Envato market, with hundreds of user reviews and thousands of comments, indicating a highly active community around it.
Is Gemini 2.5 Pro the AI breakthrough that will redefine machine intelligence? Googleâs latest innovation promises to solve one of AIâs 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 isnât an upgradeâitâs 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. Weâll 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 thereâs a catch: Gemini 2.5 Proâs \.
âThe backing of these global financial institutions is a testament to the strength of our business and the resonance of our mission,â Krishna Rao, Anthropicâs finance chief, said in a statement.
A new study led by researchers from Michigan State University, Yale University and Johns Hopkins University reveals that ransomware attacksâwhich involve a hacker putting encryption controls into a file and then demanding a ransom to unlock the filesâhave 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 ransomwareâs role in health care breaches across all entities covered by privacy lawsâhospitals, physician practices, health plans and data clearinghousesâfrom 2010 to 2024.
âRansomware has become the most disruptive force in health care cybersecurity,â said John (Xuefeng) Jiang, Eli Broad Endowed Professor of accounting and information systems in the MSU Broad College of Business and lead author of the study. âHospitals have been forced to delay care, shut down systems and divert patientsâall while sensitive patient data is held hostage.â
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 companyâs 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: Whatâs your take on the debate between return on investment versus technical capability in quantum computing?
What happens when AI starts improving itself without human input? Self-improving AI agents are evolving faster than anyone predictedârewriting their own code, learning from mistakes, and inching closer to surpassing giants like OpenAI. This isnât science fiction; itâs the AI singularityâs opening act, and the stakes couldnât be higher.
How do self-improving agents work? Unlike static models such as GPT-4, these systems use recursive self-improvementâanalyzing their flaws, generating smarter algorithms, and iterating endlessly. Projects like AutoGPT and BabyAGI already demonstrate eerie autonomy, from debugging code to launching micro-businesses. Weâll dissect their architecture and compare them to OpenAIâs 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 thereâs a dark side: no âoff switch,â biased self-modifications, and the risk of uncontrolled superintelligence.
Who will dominate the AI race? Weâll explore leaked research, ethical debates, and the critical question: Can OpenAIâs cautious approach outpace agents that learn to outthink their creators? Like, subscribe, and hit the bellâthe 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 nowâbefore the machines outpace us.
