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Add Element March 26.2025
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Unlock Faster, Cost-effective Enterprise Computer Vision with Nvidia’s MambaVision
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07.14.2025
Redefining Engineering: Why You Must Adapt Hiring for the AI-Native Workforce
Update Welcome to the Era of AI-Driven Engineering If you’re still vetting engineers with outdated methods reminiscent of 2021, it’s time to reassess your strategies. The architects of the future labor market are emerging amidst the rapid evolution of artificial intelligence (AI). This change is not merely incremental; it signals a seismic shift in how tech companies operate and how talent must now be assessed. The definition of what it means to be an engineer is transforming beyond recognition, placing AI fluency at the forefront. AI Fluency: The New Literacy Today, understanding AI is akin to mastering reading and writing in earlier centuries. The conversation surrounding "AI developers" has diversified significantly. Rather than seeking individuals solely skilled in programming languages like Python, businesses must seek talent adept at orchestrating AI tools to elevate productivity and mitigate programming errors. This nuanced understanding allows engineers to be more impactful—making it crucial for hiring managers to learn how to identify these skills during interviews. The Role of the AI Orchestrator The emerging role of an "AI orchestrator" is critical. Unlike traditional developers who might manually code entire systems, these professionals adeptly guide AI through the coding process. Their expertise lies in interacting with AI to refine its outputs and understanding the unique demands of their organization. This shifts emphasis from fundamental programming to strategic implementation, making sure AI is effectively utilized rather than blindly trusted. Essential Skills: Beyond Coding In this new context, the skills that companies should prioritize in their engineering talent have shifted dramatically. Focus should be on: Architecture: The ability to conceptualize systems broadly and design scalable solutions. Critical Thinking: This skill will allow candidates to weigh options, make informed decisions, and select suitable tools. Communication: Given that AI operates on explicit instructions, candidates must articulate their requests clearly. The right output from AI hinges on the ability to communicate needs effectively. Employees won’t discard traditional coding skills entirely; what they need is a nuanced understanding of when to step into the coding process and when to let AI take the lead. Revamping the Hiring Process To ensure an organization isn't left behind, many have begun revamping how they assess engineering talent. Rigid methods like technical interviews or coding assessments are evolving. Candidates are now evaluated through innovative simulations of real-world problem-solving tasks. Here’s how the process can shift: Hands-On AI Interaction: Requiring candidates to leverage AI tools like ChatGPT or Claude can provide insight into their AI competency. Observing how they prompt AI while solving a problem reveals their capacity to work with AI effectively. Real-World Application: Instead of traditional coding tests, candidates can work on defining problems and debugging issues without coding—a reflection of their ability to interact with AI. Embracing Change The shift to an AI-native workforce is not a fleeting trend but rather the foundation of a new technological era. Organizations that adapt their hiring methods to embrace AI fluency will outpace their competitors, while those who cling to outdated practices risk diminishing their relevancy in a fast-paced market. As the landscape evolves, businesses must recognize that engineers today are not just coders; they are strategists capable of harnessing AI's potential to its fullest. Companies, take note: the future of engineering lies in adaptability and AI integration. It’s time for decision-makers to embrace the realities of the AI age, reframing not only how they hire but also how they innovate. Those who invest in the right skills today will shape the tech landscape of tomorrow.
07.14.2025
Navigating Identity and Meaning in the AI Age: A New Perspective
Update Rediscovering Our Humanity in an AI-Driven WorldIn today's rapidly evolving digital landscape, artificial intelligence (AI) is not only changing the way we work but also the very essence of how we define ourselves and find meaning. The age of AI compels us to confront profound questions about identity—what it means to be human when cognitive abilities can now be mimicked or even surpassed by machines. This article navigates the complexities of living in an AI age, providing insights into the emotional and societal impacts of these technological advancements.AI: The New Mirror of Human ExperienceAs AI continues to evolve, it mirrors us in unprecedented ways. Our reflexive adoption of AI chatbots as ‘life advisors’ demonstrates a growing dependence on technology for guidance. This phenomenon, highlighted by OpenAI CEO Sam Altman, signifies a shift in how younger generations, particularly Millennials and Gen Z, interact with digital platforms. However, this interaction comes with a caveat; much like Narcissus captivated by his reflection, we risk neglecting our autonomy to seek validation through machines. Rather than a true reflection, AI often distorts perceptions of our capabilities, which can lead to emotional disconnection.Emotional Toll of AI IntegrationThe aftermath of AI’s proliferation leaves us grappling with mixed emotions. Psychologist Elaine Ryan points out that many face existential concerns amidst the drastic changes AI has brought to various sectors—work, healthcare, education, and even creativity. The anxiety around personal relevance and identity can be overwhelming. “Where do I fit now?” many individuals question, reflecting an urgent need to reassess our roles as increasingly complex AI tools emerge. Accepting these feelings is essential as they indicate a significant societal transformation rather than personal inadequacies.A Future RedefinedThe current juncture invites a radical reexamination of what it means to be human. The ability to reason, once our crowning achievement, now coexists with computational intelligence. As we move forward, the focus may shift from what we do to who we are. This needed transition compels us to rediscover the unique human traits of empathy, creativity, and emotional depth—qualities that machines cannot replicate. The concept of us as conductors or orchestration of human and machine collaboration may emerge as a vital roadmap for the future of work and personal contribution.Preparing for an Uncertain FutureDespite the uncertainties that AI introduces, it is also crucial to embrace the opportunities it brings for growth and innovation. By fostering a mindset that seeks harmony between human ingenuity and artificial capabilities, we can enhance our relevance in this brave new world. Finding meaning amid ambiguity is not solely about resisting change; it involves actively participating in shaping a future where both humans and AI coexist and thrive.
07.13.2025
Unlocking AI Potential: How Thinking as Optimization Transforms General-Purpose Models
Update Understanding the Energy-Based Transformer Architecture in AIIn the rapidly evolving world of artificial intelligence, researchers at the University of Illinois Urbana-Champaign and the University of Virginia are pioneering an innovative approach known as the energy-based transformer (EBT). This novel architecture is designed to enhance the reasoning capabilities of AI systems, enabling them to tackle complex problems that traditional large language models (LLMs) struggle with. The EBT operates under the premise of treating 'thinking as optimization,' ushering in a potential paradigm shift for general-purpose AI applications.The Challenge of Complex Reasoning in AICurrent AI technologies excel in System 1 thinking—fast and intuitive cognitive processes. However, there is mounting interest in fostering System 2 thinking, which is characterized by deliberate and analytical thought. Traditional models like those based on reinforcement learning (RL) provide some benefits for reasoning tasks, but they face significant limitations, particularly in real-world applications where variability and creativity are crucial.Innovating Beyond Traditional ModelsEnergy-based models (EBMs), which focus on learning an “energy function” to verify predictions, promise a fresh solution. Unlike typical AI systems that merely generate responses, EBMs assess the compatibility of predictions with given inputs. This method allows AI systems to allocate computational resources effectively, enhancing their ability to process complex scenarios over simpler tasks, thereby improving both efficiency and accuracy.The Strength of a Verifier-Centric ApproachOne of the standout features of EBMs is their ability to dynamically evaluate the uncertainty inherent in real-world problems. By establishing a verifier-centric model, developers have the leverage to refine predictions progressively, leading to more reliable outputs. This built-in verification process eliminates the dependence on external models, representing a substantial leap forward in AI functionality.Looking Ahead: The Future of General-Purpose ModelsThe implications of the EBT architecture extend far beyond theoretical considerations. As researchers delve deeper into this model, enterprises could realize cost-effective AI solutions that are capable of generalizing across diverse situations without resorting to highly specialized systems. There is a growing recognition that harnessing the power of AI in a manner that mirrors human reasoning could revolutionize industries ranging from healthcare to finance, where nuanced understanding is paramount.Business owners, tech professionals, and managers stand to gain significantly from the insights provided by these technologies. As organizations explore the integration of advanced AI capabilities, understanding this new paradigm of thinking as optimization will be essential for strategic decision-making in the future.
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57783","city":"Spearfish","state":"SD","zip":"57783","email":"seamandan@seamandan.com","tos":"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","privacy":"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