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AI News
Medium
1h
124
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From Phishing to Malware: Why Real-Time Browser Protection Is Your First Line of Defense
- Real-time browser-level protection is crucial in defending against phishing, credential harvesting, and drive-by malware attacks in today's interconnected environment.
- Threats often begin with deceptive emails or malicious links impersonating trusted sources and can bypass traditional email filters using various techniques.
- Attackers manipulate users through social engineering tactics like personalized phishing URLs or decoy pages to deliver malicious payloads such as info-stealing trojans.
- InLuna offers proactive threat detection through behavioral analysis and machine learning at the browser layer, providing real-time protection against evolving threats without significant IT overhead.
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Medium
1h
116
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Abundance Engineered: Designing Post-Scarcity Intelligence
- Post-scarcity intelligence presents challenges and opportunities in a world of abundant goods and services produced with minimal human effort.
- This paradigm shift impacts design, innovation, and economic models, emphasizing circularity, resilience, and human meaning over traditional efficiency and aesthetics.
- Automation leads to low-cost, widespread access to goods and services, supported by technologies like self-replicating machines and distributed manufacturing platforms.
- Digital content creation is progressing towards post-scarcity with tools like GenAI, though discovery becomes more valuable than production in this context.
- Challenges arise in post-scarcity regarding sustainable resource use, circular economy principles, human-centric innovation, and algorithmic biases in recommendation engines.
- Manufacturing-as-a-Service and fabrication-on-demand are reshaping localized, just-in-time manufacturing while facing challenges like energy consumption and material recycling.
- Transitioning to a circular economy, optimizing resource use, and embedding recyclability in design are crucial to avoid ecological collapse in a post-scarcity world.
- Post-scarcity disrupts traditional notions of ownership, pricing, and wealth, focusing on experiences, access, and meaning, potentially leading to shifts in economic models.
- As automation advances, considerations such as Universal Basic Income, shorter workweeks, and redefined vocational purpose become essential to address potential inequality exacerbation.
- Post-scarcity challenges creators to compete on insight and emotion rather than volume, emphasizing the importance of curation and meaningful content creation.
- Design plays a pivotal role in shaping regenerative, ethical systems in a post-scarcity era, requiring a shift from isolated objects to interconnected, meaningful design solutions.
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Medium
1h
964
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AI Tools for Selling Products Online in 2025
- AI tools and machine learning are transforming online sales, making marketing efforts smarter, leaner, and faster.
- Product recommendations are now more precise with the help of AI, streamlining the digital commerce process.
- Three specific AI tools - AdCreative.ai, Instapage, and CreativeScore.ai - can significantly boost online sales and conversion rates.
- By leveraging these AI marketing tools in a coordinated manner, businesses can enhance targeting, personalization, and automation, leading to increased sales and improved marketing efficiency.
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Medium
1h
225
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Cursor + Test Automation: A First Look
- Cursor is a solution that offers smart code suggestions tailored to testing needs in the AI era of software development workflows.
- Adopting Cursor required defining and refining rule sets to guide its behavior, ensuring consistency and context-awareness.
- Rule sets are structured in a modular and maintainable way, written in .mdc format to help Cursor understand test scopes and purposes.
- The collaborative approach of documenting test execution details in rule sets helped build a reliable automation foundation and promote ownership among team members.
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Medium
2h
690
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What Are AI Agents, and Why Everyone’s Talking About Them?
- AI agents act as digital interns, autonomously handling tasks and making decisions based on goals provided.
- Recent advances in AI technology have greatly enhanced the capabilities of AI agents, making them more effective for tasks and decision-making.
- AI agents are revolutionizing decentralized finance (DeFi) by offering assistance and support to users navigating the complex world of DeFi.
- Responsible use of AI agents is essential, ensuring transparency, user consent, and maintaining control over decision-making processes.
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TechBullion
2h
83
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The Future AI And Content Marketing: PRNEWS.IO CEO on Innovation, Job Security, and Profitable Strategies for Content Marketing Professionals
- Alexander Storozhuk, founder of PRNEWS, discusses AI's impact on content marketing, highlighting the importance of human creativity and authenticity alongside automation and data analysis.
- Storozhuk emphasizes that trust, storytelling, and credibility are indispensable in content marketing, suggesting AI should be viewed as a supportive tool rather than a replacement for human expertise.
- AI enhances efficiency in tasks like data analysis and optimization but cannot replicate the qualities of human-driven content such as editorial integrity and emotional connection.
- Marketers should leverage AI for personalization and optimization while maintaining a focus on credibility, quality, and building relationships with publishers.
- PRNEWS combines AI technology with human editorial oversight to ensure authenticity and quality in content creation and distribution.
- While AI can aid in research and insights generation, human creativity is crucial for crafting compelling narratives and establishing brand authenticity.
- Challenges in AI-driven content marketing include credibility issues, lack of human touch, and the need for editorial review to maintain audience trust.
- The future of content marketing will involve smarter analytics, more personalized content, and innovative formats like AI-generated visuals and interactive experiences.
- PRNEWS.IO views AI as a supportive tool to enhance efficiency and strategy while recognizing that human elements like storytelling and trust are irreplaceable.
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Pymnts
1h
276
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SemperVirens Launches Accelerator as FinTechs Scramble for Post-Seed Growth
- SemperVirens Venture Capital has launched an accelerator program for B2B FinTechs focusing on healthcare, wealth-management, and workplace sectors.
- The accelerator aims to fast-track revenue by facilitating deal discussions with potential customers and providing real-time product feedback.
- SemperVirens' existing network of benefits brokers, health plans, and large employers is leveraged to support seed-to-Series A companies in the program.
- The accelerator focuses on AI tools to help healthcare companies improve employee relationships efficiently, and plans to invest in 30% to 50% of the accelerator graduates.
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Medium
1h
53
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The Evolution of Software Testing: From Scripts to Intelligence
- In today’s digital ecosystem, software quality is crucial as users expect seamless, reliable experiences across all touchpoints.
- Accelerated release cycles and complex software systems have rendered traditional testing approaches unsustainable.
- Shift-left testing focuses on preventing bugs early in the development lifecycle and involves collaboration between developers and testers.
- Modern test automation tools like Selenium and Cypress offer robust capabilities for creating maintainable test suites.
- Intelligent automation frameworks incorporate AI and machine learning to enhance test creation and maintenance.
- Continous testing integrated into CI/CD pipelines ensures automatic and continuous quality verification throughout the development process.
- Performance and security testing have evolved to address user experience, scalability, and regulatory compliance.
- Exploratory testing complements automation by leveraging human creativity and intuition to uncover unique issues.
- The modern tester plays a strategic role as a collaborator, user advocate, and quality evangelist within cross-functional product teams.
- Continuous learning, risk assessment, and effective communication of testing value are essential skills for modern testers.
- Embracing the transformation to modern testing practices empowers organizations to thrive in the digital age where software quality is paramount.
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Medium
1h
104
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How Does a Transaction Processing System Ensure Secure Digital Payments?
- Transaction processing systems (TPS) in 2025 ensure secure digital payments through real-time, airtight security measures.
- TPS software captures, validates, and processes payments swiftly, ensuring integrity and accuracy in the digital ecosystem.
- The complex network within a TPS involves validation checks and security protocols to combat fraud and identity theft in the rising threats landscape.
- TPS is crucial in sectors like banking, eCommerce, and P2P apps, protecting user data and securing funds during online transactions.
- It operates in real-time to detect errors, duplicate entries, and fraud attempts instantly for enhanced security.
- TPS encrypts sensitive user data using encryption algorithms to ensure data security even if intercepted.
- User verification processes like biometrics and OTPs ensure secure transactions by validating authenticity before approval.
- Logs maintained by TPS support regulatory compliance and help in fraud trend analysis, like in the case of banks complying with PSD2 regulations in Europe.
- Integration of machine learning in TPS aids in flagging unusual activities and enhances fraud detection capabilities, as seen in PayPal's fraud detection engine.
- TPS systems must adapt to evolving threats like phishing and malware attacks, ensuring the security of user data and system APIs.
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Medium
1h
104
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Chatbots for E-commerce: How Businesses Are Driving Customer Sales Through Conversational Commerce…
- Chatbots are now playing a crucial role in driving customer sales through conversational commerce in e-commerce businesses.
- AI-driven chatbots offer personalized support to customers throughout their buying journey by analyzing user data and providing product suggestions and assistance during conversations.
- E-commerce businesses utilize AI chatbots to enhance customer engagement, provide 24/7 customer service, and offer personalized recommendations to boost loyalty and increase sales.
- By tailoring services for each user and providing personalized shopping experiences, AI chatbots help improve customer satisfaction, increase conversion rates, and strengthen the bond between consumers and brands.
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The Verge
1h
181
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Jony Ive’s OpenAI device gets the Powell Jobs nod of approval
- Laurene Powell Jobs approves of the mysterious AI gadget being developed by OpenAI and former Apple design chief Jony Ive, praising his design process as 'a wondrous thing to behold.'
- Jony Ive's work on the incoming AI device is motivated by a sense that 'humanity deserves better' and a desire to make up for the unintentional harms associated with past technological innovations, like smartphone addiction.
- Ive's collaboration with OpenAI CEO Sam Altman has reignited his optimism for technology, acknowledging both the wonderful and harmful consequences of innovation.
- Powell Jobs, who has invested in Ive's design and hardware startups, expresses expectations for the secretive gadget being developed by OpenAI, highlighting the iterative process of idea development and design as a wondrous experience.
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10 Likes
TechBullion
1h
67
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Using AI to Forge Genuine Customer Conversations at Scale
- AI-powered customer service is now common practice, with 90% of organizations reporting faster customer service due to AI adoption.
- Businesses face the challenge of scaling genuine interactions, focusing on personalization, authenticity, and speed.
- AI-powered conversations should mirror real human interactions by avoiding corporate language and using natural speech patterns.
- Customers trust companies that share authentic expertise and demonstrate genuine knowledge, relying on valuable content for relationship-building.
- AI can be used for text output in content creation, but human oversight is crucial to maintain quality and authenticity.
- Training AI systems with actual customer conversations is crucial to ensure a conversational tone rather than a manual-like approach.
- Synthetic data is used to bridge the gap between internal training and real customer language but should not replace genuine customer interactions.
- Businesses must know when to transition from AI to human support, especially for complex issues requiring emotional understanding.
- Setting clear triggers for human handoffs and training teams to recognize handoff moments during live chats are crucial for seamless transitions.
- The focus should be on using AI to enhance human knowledge and responsiveness rather than solely making AI interaction human-like.
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4 Likes
Medium
2h
598
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Your Next AI Assistant Might Not Need the Cloud — Thanks to Gemma 3N
- Google has announced Gemma 3N, a compact and open-source AI model designed for on-device performance, eliminating the need for the cloud.
- Gemma 3N shares the architecture with Gemini Nano, allowing local processing of AI tasks like 'see,' 'hear,' and 'understand' without cloud access.
- It outperforms previous Gemma models, remains small enough for phones, and includes a smaller submodel for dynamic switching, enhancing mobile performance.
- Developers, students, and enthusiasts can freely explore Gemma 3N, bringing advanced AI capabilities to everyday devices and changing how people interact with technology.
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Dev
2h
427
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How Small Language Models(SLM) Are Powering the Future of Smarter AI Assistants
- Small Language Models (SLMs) are revolutionizing the field of AI assistants by offering faster, more efficient, and affordable solutions for daily tasks.
- These compact models, trained on smaller datasets and with fewer parameters, excel in responsiveness, reliability, and lightweight usage.
- Key advantages include faster responses, cost-effectiveness, enhanced privacy, and customization for specific tasks.
- Real-world applications span from smartphones and healthcare to home automation, with businesses and developers choosing SLMs for their energy efficiency, agility, and scalability.
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Medium
2h
62
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How Rajat Khare Says India Can Dominate the AI Revolution — By Ending Brain Drain Now!
- Retaining talent within the country is crucial for India's AI ambitions.
- Venture capitalist Rajat Khare emphasizes the importance of backing startups that address real-world issues with AI.
- India has the potential to become a global AI innovation hub by preventing brain drain and fostering local innovation.
- Investing in people, startups, and infrastructure is key to India's success in the AI revolution, as highlighted by Rajat Khare.
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