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June 30.2025
4 Minutes Read

The Latest AI Innovations: Claude, 11 AI, and the Future of Regulation

Man presenting latest AI news updates with glowing icons.

Revolutionizing App Development: Claude's New Feature

Anthropic’s latest feature in its Claude platform is a game changer in the realm of application development. This innovative tool allows users to not only build applications seamlessly within the platform but also share them with others effortlessly. Imagine a situation where there’s no need for external hosting solutions; Claude manages it all. This has significant implications for developers and enthusiasts alike, who can now create and deploy various functionalities without the hassle of choosing infrastructure components. A current example includes an application centered around the renowned actor Gary Busey, demonstrating that the setup process is straightforward and accessible for all users.

In '19 AI News Stories You Probably Missed', the discussion dives into various pivotal advancements in AI technology, prompting our deeper analysis on the implications of these innovations.

The Rise of Voice Assistants and Integration

Meanwhile, 11 Labs has introduced 11 AI, a voice assistant that leverages multiple services to enhance user experiences through conversation. With integrations into platforms like Google Calendar and Notion, it reflects the rising trend where AI not only imitates human interaction but also serves functional roles in our daily lives. A feature that allows users to design custom voices lends a personal touch, boosting engagement levels as users can hear interactions in their own (or chosen) voices. Moreover, the availability of a mobile app for easy text-to-speech access signals a shift towards mobile-centric solutions, catering to users on the go.

OpenAI's New Features: Recording in Real-Time

OpenAI's recent updates to ChatGPT, particularly the ability to record conversations, have stirred mixed reactions. While such functionalities can streamline workflows, they also raise privacy concerns. The tool can summarize meetings and generate actionable insights, appealing to corporate users. However, ethical considerations concerning consent need to be addressed, as not all parties might be comfortable with such technologies. The balance between efficient technology usage and user privacy remains a focal point in this ongoing conversation.

Generative AI Models and Liquidation Challenges

On another front, Higsfield AI's new Soul model generates ultra-realistic images based on text input, showcasing yet another evolution in generative AI. However, these technologies face criticism regarding the authenticity and ethical use of sourced materials. The AI sector is experiencing a rise in legal challenges as companies like Anthropic secure favorable outcomes in court, solidifying the model of fair use for training data, yet also highlighting inconsistencies in argumentation that may shape future legal perspectives.

Emerging Legal Perspectives in AI

As the legal landscape around AI development evolves, precedents like the decisions favoring Anthropic and Meta indicate a potential shift toward more lenient interpretations of copyright in AI training contexts. This shift could either propel innovation or spawn wider conflicts over intellectual property; with companies navigating the complexities of laws defined in an era predating AI’s rapid evolution. Artistic and literary creators now find themselves in a precarious position where their rights might not be as protected as before.

AI in Medicine: Bridging Innovation and Ethical Challenges

Likewise, a substantial breakthrough came from Berlin, where researchers developed an AI model named CrossN, demonstrating the ability to diagnose brain tumors with unprecedented accuracy. This technology could revolutionize cancer treatment protocols, offering non-invasive diagnosis methods. Yet, such powerful tools come with ethical obligations. How data from patients is handled, shared, and protected will determine the acceptance and trust in AI applications in healthcare.

The AI Arms Race: Regulation vs. Innovation

In the midst of all these advancements, a political tug-of-war is surfacing in the U.S. regarding the regulation of AI technologies. The federal government is proposing a 10-year blanket restriction on state-level AI regulations, a move that has supporters and detractors alike. While the intention might be to position the U.S. competitively against nations like China, critics argue that this could stifle important ethical considerations and safety measures needed to ensure responsible AI development.

Final Thoughts: The Future of AI—A Double-Edged Sword

Overall, the recent innovations in AI highlight both far-reaching potential benefits and significant challenges that accompany this technology's growth. The blend of practicality and power in tools like Claude and 11 AI show how integrated AI can become in our everyday lives, while the legal landscape shapes how these technologies will be developed and utilized in the future. Navigating these waters of innovation requires vigilance, a willingness to adapt, and a shared commitment to ethical progress.

The landscape of AI remains dynamic; staying informed is essential. For those who want to delve deeper into these developments, consider subscribing to relevant news feeds or joining forums that focus on technology trends to ensure you're not left behind.

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06.29.2025

How Discipline Leads to Freedom in the Age of AI Technology

Update Understanding the Link Between Discipline and Freedom in the Age of AI Discipline is often regarded as a determinant of success across various spheres of life, but its connection to freedom, particularly in our increasingly tech-driven world, is profound and multifaceted. As artificial intelligence (AI) continues to reshape industries and redefine job roles, the need for personal and organizational discipline becomes more evident.Historical Context: The Evolution of Discipline in Work Historically, discipline in the workplace was primarily about following established protocols and adhering to rigid hierarchies. However, with the advent of AI and automation, those traditional structures are giving way to more dynamic environments that require a different kind of discipline. Understanding how discipline has evolved in conjunction with technological advances can help us appreciate its role in modern freedom. The Role of Personal Discipline in Adapting to AI Technologies For individuals aged 21 to 65, particularly those who are men but also increasingly women, adopting a disciplined approach to learning and unlearning is crucial. AI technology is not just about efficiency; it is about an ongoing commitment to understanding new paradigms, tools, and disruptions that can either enhance or impede personal growth. Thus, discipline translates directly into freedom by enabling informed decisions and promoting adaptability in a rapidly changing landscape. Foreseeing the Future: Discipline as a Gateway to Innovation In a world where AI is poised to facilitate new avenues for innovation, individuals with a disciplined mindset are likely to not only survive but thrive. Future predictions suggest that the most successful professionals will be those who are able to integrate their discipline with technological understanding to create value. As AI continues to develop, forecasting trends and embracing continuous education becomes paramount. Counterarguments: Is Discipline Always Beneficial? While discipline is often hailed as essential, there are arguments positing that excessive discipline can lead to rigidity and a lack of creativity. Exploring diverse perspectives on the nuances of discipline raises important questions: Is there such a thing as too much structure? Can spontaneity fuel innovation in ways that discipline cannot? The Human Element: Emotional Perspectives on Discipline For many, discipline is rooted in emotional and psychological factors. Understanding how discipline connects to personal freedom can evoke a range of feelings—from empowerment to anxiety. This emotional aspect is vital to consider, especially for individuals who feel overwhelmed by the pace of technological change. Conclusion: The Imperative of Discipline in Navigating the Future of Work As we look toward a future where AI technologies continue to evolve, embracing a disciplined approach is vital. It is the difference between reacting to change and proactively shaping the future. Those who cultivate discipline will undoubtedly carve out their own paths, balancing autonomy and structure in a world that demands both. Remember, freedom is hard-earned through the discipline of understanding, adapting, and innovating.

06.30.2025

Discover How Mercury AI Revolutionizes Coding Speed and Efficiency

Update The Dawn of a New Era in AI Coding Assistants The landscape of AI-powered coding assistance is undergoing a revolutionary transformation with the introduction of Mercury, a cutting-edge AI model developed by Inception Labs. Unlike traditional language models that grapple with the speed limitations of token generation—producing text one token at a time—Mercury employs diffusion techniques that enable it to generate multiple tokens simultaneously. This innovative approach not only accelerates performance but redefines efficiency in coding tasks. This game-changing capability allows Mercury to outperform existing models such as GPT 3.5 and Gemini 2.0, delivering impressive speeds and maintaining high accuracy.In 'New FREE AI "MERCURY" Just Humiliated Every Top Model With Insane Speed,' the discussion dives into the groundbreaking capabilities of the Mercury AI model which has prompted much deeper analysis on the implications of such technology. How Mercury Breaks Traditional Barriers Traditional coding assistants, including the well-known Chat GPT models, follow an autoregressive process, generating output sequentially. However, Mercury’s diffusion model transforms this paradigm by allowing edits to be made to any part of the answer simultaneously, similar to collaborative editing in a Google document. In Mercury’s case, its architecture enables the whole answer to be refined and polished in real-time. The result? Tremendous speed. With capabilities clocked at over 1,100 tokens per second, Mercury doesn’t just match the performance of its peers; it leaves them in the dust. The Magic of Diffusion: Why Does It Matter? At the heart of Mercury's functionality is a method called denoising diffusion, which iteratively refines outputs starting from random noise. By taking multiple passes to clean up an answer, Mercury synthesizes responses that are not only faster but also more coherent. This contrasts sharply with traditional models that construct outputs sequentially and often miss the overall structure of the code due to their linear approach. In coding, where syntax and structure are crucial, this feature greatly enhances Mercury’s usability for developers. Speed Meets Quality: Performance Metrics The staggering speed of the Mercury models—particularly the Mercury Coder Mini and Coder Small—has been independently verified. Coder Mini produces an impressive speed of 1,190 tokens per second while managing an accuracy of 88% on benchmark coding tasks. The larger Coder Small, although slightly slower at 737 tokens per second, maintains a commendable efficiency with 90% accuracy on human evaluation tests. The combination of these metrics demonstrates Mercury’s promise not only in speed but also in delivering high-quality outputs critical for developers. Implications for Development and Deployment Mercury’s enhanced processing capabilities offer several implications for developers and tech companies alike. With its 32,768 token context window, Mercury can handle entire files or complex projects, significantly improving workflow efficiency. Furthermore, its ability to maintain performance while processing high volumes of data creates opportunities for smaller companies to leverage this technology without incurring hefty cloud hosting bills. Looking Ahead: Trends and Future Predictions As AI coding assistants evolve, the potential for diffusion models to shape the future of programming is immense. With capabilities that merge speed, efficiency, and accuracy, Mercury could very well signal a transition where traditional generating methods give way to rapid, feedback-oriented solutions. Moreover, as the technology matures, we can expect not only enhancements in text generation but also expansions into multimodal capabilities that integrate text with diagrams and other rich content formats. Counterarguments: Challenges Ahead Despite Mercury’s prowess, there are concerns about its resource requirements. While it excels on high-performance GPUs, its effectiveness may diminish on standard desktops, raising questions about accessibility for everyday developers. Furthermore, while Mercury impresses in many coding languages, it still trails in certain areas such as Bash scripting, indicating that ongoing training on specific task sets is essential. These challenges need to be acknowledged as the technology gains traction. The Verdict: A Game Changer in AI The emergence of Mercury signifies a pivotal moment in the development of AI tools for coding. As tech leaders reassess their own strategies, questions loom: Will major players like OpenAI and Google embrace this revolutionary approach, or will they circle the wagons around their existing technologies? For now, Mercury’s blend of unprecedented speed and quality offers a compelling vision for the future of AI coding assistants. Developers looking for a hands-on experience can explore the interactive playground at chat.inception.ai, where they can test out Mercury’s capabilities firsthand.

06.29.2025

Unlocking AI Hiring Innovations: Transform Your Recruitment Strategy

Update Revolutionizing Recruitment: How AI is Transforming Hiring Processes As organizations strive to adapt to the rapidly changing job landscape fueled by advances in artificial intelligence (AI), it’s crucial to explore how these technologies reshape hiring practices. Businesses are increasingly finding that traditional recruitment methods are no longer sufficient to meet their needs. Instead, they are exploring AI-driven solutions that promise not only efficiency but also democratization in the hiring process. The Role of AI in Streamlining Recruitment AI technologies automate and enhance various recruitment stages, making the process quicker and more accurate. For instance, AI-powered applicant tracking systems (ATS) utilize algorithms to filter resumes and identify the most qualified candidates. This cuts down the tedious hours spent manually reviewing applications, allowing recruiters to focus on engaging with top talent. By using data-driven insights, hiring managers can make more informed decisions based on skills matching rather than just intuition. Understanding the Implications of AI in Hiring While AI can offer a plethora of advantages to the recruiting process, the incorporation of these technologies raises pertinent questions about bias, privacy, and accountability. Many AI systems are only as good as the data they’re trained on, which can inadvertently perpetuate existing biases if proper checks aren’t in place. For example, if an ATS is trained predominantly on resumes reflecting certain demographics, it may disadvantage candidates from diverse backgrounds. Therefore, organizations should prioritize transparency and ethical considerations to ensure that their hiring processes remain fair and inclusive. Benefits of Embracing AI-Driven Hiring Technologies The integration of AI in hiring not only improves speed and accuracy but also enhances candidate experience. Personalized communication, intelligent scheduling, and efficient onboarding powered by AI foster a more engaging interaction between candidates and employers. Furthermore, candidates appreciate receiving timely updates throughout the hiring process, leading to a more positive perception of the company. As organizations increasingly recognize the importance of candidate experience, AI tools that support this aspect will gain prevalence. Future Trends: The Next Frontier of AI in Recruitment Looking ahead, it’s apparent that the evolution of AI in recruitment will continue to advance as new tools and technologies emerge. Features such as AI-driven video interviews and predictive analytics for workforce planning are already on the horizon. These innovative solutions offer deeper insights into candidate behavior and skills compatibility based on real-time data, enabling organizations to make proactive hiring decisions. Real-World Applications: Case Studies of Successful AI Integration Several industry leaders are already leveraging AI to improve their recruitment outcomes. For instance, Unilever has implemented AI-driven algorithms, which have reportedly reduced their hiring process by 75% and improved candidate diversity. Companies like IBM are also employing AI tools to analyze employee sentiment, helping to create a more employee-centric workplace culture that enhances retention rates. These compelling case studies serve as a blueprint for others looking to adopt AI within their hiring frameworks. Key Considerations for Implementing AI in Your Hiring Strategy As organizations begin to incorporate AI into their hiring processes, several key considerations must be taken into account. First, there is a need for comprehensive training for recruiting teams on how to utilize these tools effectively. Moreover, fostering collaboration among HR professionals, technology teams, and legal advisors will ensure compliance with regulations while still maximizing technology benefits. Finally, companies should strive for hybrid models that blend human intuition with AI recommendations to create a balanced approach towards hiring. Conclusion: Embracing Change in Organizations As we venture into an era where AI drives significant changes in recruitment, organizations must remain open and adaptable. The combination of technology with human insight will be critical in building diverse, equitable, and capable workforces for the future. As we continue to embrace these changes, companies must communicate transparently with candidates about how AI affects their hiring processes. Ready to transform your hiring processes with AI technology? Start by exploring how these insights can upgrade your organizational strategies today!

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Lake","state":"MI","zip":"49456","email":"group@aimarketingshift.com","tos":"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","privacy":"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