SeamanDan FCMO - AI World Tech News
July 18.2025
3 Minutes Read
Could AI Video Manipulation Transform Live Streaming for Everyone?
89 Views
0 Comments
Related Posts All Posts
09.19.2026
Why AI Agent Identities Must Embrace Post-Quantum Cryptography Now
Update The Need for Enhanced Security in AI As artificial intelligence (AI) systems become integral to various sectors, ensuring their security is paramount. With the emergence of quantum computing, traditional encryption methods may soon be rendered ineffective. This poses a significant threat to the AI agent economy, where agents often handle sensitive data, including personal information and financial records. The implications of compromised data in such scenarios can be catastrophic, leading to privacy violations and financial losses for both individuals and organizations. Understanding Post-Quantum Cryptography Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to be secure against the capabilities of quantum computers. Unlike classical systems that could be compromised by quantum algorithms like Shor's that can factorize large numbers quickly, PQC seeks to safeguard data integrity and privacy against potential quantum threats. As quantum technology continues to advance rapidly, the need for such robust systems becomes critical, particularly in AI applications where secure data handling is essential for maintaining user trust. Historical Context: The Evolution of AI and Cybersecurity In the past decades, AI has evolved from theoretical frameworks to practical applications influencing finance, healthcare, and governance. Advancements in machine learning and data analysis have enabled AI systems to optimize processes, identify patterns, and facilitate better decision-making. However, alongside this unprecedented growth, cybersecurity threats have also intensified, underscoring the importance of securing AI technologies. Traditional methods, such as RSA and elliptic curve cryptography (ECC), are now being scrutinized for their vulnerability to quantum attacks. Understanding this historical context highlights the urgent need for integrating PQC into our security protocols to safeguard AI identities and operations effectively. Challenges Facing Implementation of PQC Despite the promising nature of post-quantum cryptography, its implementation is not without obstacles. Current issues include standardization, which involves creating widely accepted PQC protocols suitable for various applications. Additionally, there is the challenge of computational overhead; PQC algorithms can be more resource-intensive than traditional ones, potentially leading to slower performance in AI systems. Integration complexities also pose significant hurdles. Organizations need to evaluate their existing systems and prepare for the transition to PQC without significant disruption. This transition is crucial as any laxity could expose AI agents to malicious actors who could exploit weaknesses in outdated systems. Future Predictions: The Role of PQC in AI Security The future landscape of AI security will likely be shaped by the successful adoption of post-quantum cryptographic standards. As organizations begin to incorporate these advanced algorithms, we can expect a marked increase in trust in AI systems, which are increasingly relied upon for critical operations. This could foster greater adoption of AI applications across various industries, from healthcare to finance, driving innovation while minimizing security risks. Ultimately, organizations that proactively integrate PQC will likely enjoy competitive advantages and improved reputations as pioneers in secure technology deployment. Conclusion: The Importance of Proactive Security Measures In conclusion, the intersection of AI and post-quantum cryptography is a critical frontier in ensuring the longevity and trustworthiness of AI agents. With increasing cybersecurity threats and the rise of quantum computing, it is imperative that stakeholders in the tech industry understand and embrace new security paradigms. By prioritizing PQC, businesses can build a resilient foundation for the future of AI, protecting both their data and their users. Encouraging an ongoing dialogue among experts, developers, and policymakers will be essential in shaping a secure technological future.
09.18.2026
Unlocking Quantum Potential: Generative AI Transforms Quantum Optimization
Update Generative AI Revolutionizes Quantum Optimization The recent collaboration between IonQ, Oak Ridge National Laboratory (ORNL), NVIDIA, and the University of Tennessee, Knoxville, has led to a groundbreaking achievement in quantum optimization. By implementing a generative AI approach, researchers successfully eliminated the cumbersome trial-and-error parameter-tuning loop traditionally used for creating quantum optimization circuits. Instead, the new method allows for the direct generation of these circuits, significantly reducing the time involved in circuit generation and improving overall solution quality. Why This Breakthrough Matters Before this innovation, quantum optimization faced a substantial tuning tax that complicated the process of solving larger problems. For example, traditional methods saw the circuit generation time soar from 34 seconds for four qubits to over 11 minutes for twelve qubits, a daunting increase that hindered research capabilities. The ability to effectively solve larger subproblems means that researchers could reallocate their resources toward more meaningful inquiries and development. How Generative AI Changes the Game The generative model used in this study mimics the parameters of large language models but is specifically fine-tuned for quantum circuits. Initially, researchers used a conventional method to identify near-optimal circuits and trained the model on these findings, which allowed it to generate candidate circuits directly. This development is analogous to how AI has transformed other industries by streamlining processes, making them faster, and ultimately, more efficient. Potential Future Implications for Quantum Computing This advancement does not merely stand as a technical achievement; it represents a turning point for the scalability of hybrid quantum optimization. Dr. Martin Roetteler, IonQ’s Vice President of Quantum Applications R&D, emphasizes the importance of overcoming the tuning cost barrier. With the generative model's enhanced capabilities, there is potential for more complex queries, resulting in impactful insights across various industries, from pharmaceuticals to materials science. Recent Advancements and Industry Impact The study showcased at the IEEE Quantum Week presents a clear alignment with the cutting-edge advancements in quantum computing technology. With major players like IonQ and NVIDIA investing in quantum infrastructure, this method could lead to wider adoption of hybrid quantum optimization and establish new industry standards. Imagine the revolution in fields like drug discovery or logistics optimization, where solving complex problems more effectively could lead to innovations and efficiencies previously thought impossible. Addressing Concerns: The Ethical Dimensions As the capabilities of AI and quantum technologies expand, so too do the ethical questions surrounding their use. It is crucial to maintain a dialogue about how these powerful tools will be utilized. The simplicity and efficiency of a generative AI approach may lead to a dependency on technology at the cost of human oversight. Stakeholders in these advancements must consider how to implement a framework for responsible use that prioritizes ethical considerations alongside profit. Conclusion: Opportunities Ahead The integration of generative AI into quantum optimization opens the door for transformative developments across multiple sectors. As the technology advances, it will be essential for researchers and businesses alike to stay informed about these trends to leverage the possibilities they present. By embracing these innovations while being mindful of the associated responsibilities, the future of quantum computing can be both promising and ethically sound.
09.19.2026
Could AI Job Interviews End with Bots Having Conversations? Here's Why It Matters
Update AI Job Interviews on the Rise: A Futuristic Approach The modern job hunt is evolving rapidly, with artificial intelligence (AI) becoming an influential player. Many candidates, like Christopher, have found themselves at the mercy of AI recruitment tools that facilitate and, at times, complicate the hiring process. These virtual recruiters, such as Riley from Everforth Apex Systems, inundate prospective employees with automated interactions that often lead to more questions than answers. The Frustration of AI Ghosting Christopher’s experience echoes a growing frustration among job seekers. Despite applying to around 700 positions, receiving few responses is becoming the norm. The human touch in recruitment is all but lost as AI continues to dominate the early stages of the hiring process. With 63 percent of job seekers having encountered an AI interview, it isn't surprising that candidates like Christopher feel the urge to turn the tables and utilize AI tools themselves. ChatGPT vs. Riley: A Lighthearted Yet Telling Experiment In a playful twist, Christopher leveraged ChatGPT to engage in a conversation with the AI recruiter, thus creating a bot vs. bot interview scenario. This bold experiment not only highlights the absurdity of the AI recruitment process—which often leaves human applicants with nonsensical conversations—but also reveals how candidates are harnessing technology just as much as employers are. The exchange was akin to one synthetic persona providing “slop data” to another, emphasizing the disarray within the AI hiring framework. The Critical Complexity of AI Voice Interviews Despite the technological advancements, AI voice interviews remain a challenging undertaking. As Ophir Samson from Greenhouse explains, implementing voice AI reliably is fraught with obstacles. From miscommunication due to varying accents to the voice bots’ struggle to handle natural pauses (“ums”), it underscores the imperfections that exist within a system supposedly designed to streamline hiring. Demystifying AI Hiring Tools The increasing prevalence of AI in recruitment makes it imperative for both job seekers and businesses to understand the implications of these tools. AI recruitment platforms, like Ribbon, are emerging to help companies identify which candidates have scripted or AI-assisted responses. This could potentially level the playing field, ensuring genuine human interaction remains a cornerstone of hiring. Future Predictions: AI’s Role in Recruitment As AI continues to evolve, experts predict that the line between human and AI interaction in hiring will blur even further. For job seekers, the challenge will be twofold: navigating a job market that is increasingly relying on AI while finding ways to showcase their genuine self in a landscape that rewards scripted responses. Actions You Can Take with This Information Whether you are actively seeking employment or working as a recruiter, understanding the shifts in the recruitment process offers valuable insights. Job seekers can prepare themselves by refining their responses and practicing how to present themselves authentically, even when the interactions are automated. Recruiters, on the other hand, need to explore how to humanize AI interactions, ensuring applicants feel respected and valued during the hiring process. Emotional Perspectives: The Human Element in AI Engagement For many job seekers, especially young professionals and tech enthusiasts, the increasing integration of AI in recruitment elicits a range of emotions—from frustration to resignation. This growing disconnect could reiterate the importance of fostering human connection in hiring practices. As technology advances, the emotional toll on candidates must not be overlooked, reminding companies that behind every application, there is a person with hopes and aspirations. As we continue to navigate through this technological era, it's crucial to emphasize the need for balance between efficiency brought by AI tools and the empathy required in human interactions. Embracing technology while nurturing the human experience could reshape and improve how we perceive and engage in the job market.
AI WORLD TECH NEWS
The SeamanDan AI News is a cutting-edge platform dedicated to exploring the transformative power of artificial intelligence for businesses. By offering in-depth analysis, practical guides, and real-world case studies, we empower entrepreneurs, business owners, and tech enthusiasts to harness AI potential effectively. Our mission is to simplify AI and make it accessible to anyone seeking to innovate and grow their ventures.
SeamanDan LLC
810 N Main St #187
Spearfish SD 57783
Ph: 1+ 678-478-4690
seamandan@seamandan.com
Ph: 1+ 678-478-4690
seamandan@seamandan.com
ABOUT US
SeamanDan LLC is a modern news media agency creating niche digital channels that inform and engage. We specialize in launching focused platforms that deliver impactful content. Our current brands include:
Parallel Health World
AI Insights Hub
MLM News AI
Rider Safe News
Meme Crypto News
Rugged Trails Network
Recreation Wave
Outdoor Odyssey News
Eco-Innovation Hub
Metal Green Innovators
Autism Foundation News
At SeamanDan LLC, we don't just report the news we create platforms that build communities, foster trust, and drive forward-thinking conversations. Can we build a channel for you?
© 2026 SeamanDan LLC All Rights Reserved. 810 N Main St #187, Spearfish, SD 57783 . Contact Us . Terms of Service . Privacy Policy
{"company":"SeamanDan LLC","address":"810 N Main St #187, Spearfish, SD 57783","city":"Spearfish","state":"SD","zip":"57783","email":"seamandan@seamandan.com","tos":"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","privacy":"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"}
Write A Comment