AI in Tech

AI in tech is revolutionizing industries by driving automation, innovation, and efficiency across various sectors. From machine learning algorithms improving cybersecurity to AI-powered analytics optimizing business decisions, artificial intelligence is reshaping the future. Companies leverage AI chatbots, predictive modeling, and intelligent automation to enhance user experience and streamline operations. As AI continues to evolve, its impact on software development, cloud computing, and data security will define the next generation of technological advancements.

Claude 1M token API support

Claude Gets 1M Token Support via API to Take on Gemini 2.5 Pro

Ravi Jain
A significant enhancement to Claude Sonnet 4, an artificial intelligence model, which now boasts a 1 million token context window when accessed through its API, a five-fold increase that dramatically expands its capacity for processing information. This upgrade allows for handling vast amounts of data within a single session, making it highly competitive with models like Google’s Gemini 2.5 Pro for tasks such as analyzing large codebases or hundreds of documents simultaneously. While currently exclusive to API users with tiered access, the article indicates future broader availability for general users and other platforms. The text also introduces Technijian, an IT services provider that offers expertise in helping businesses leverage such advanced AI capabilities, alongside a general overview of their managed IT, cloud, and cybersecurity services across Southern California. ... Read More
OpenAI's GPT-5 Lobster

OpenAI’s GPT-5 Lobster: The Game-Changing AI Model That’s Redefining Coding

Ravi Jain
OpenAI's GPT-5 "Lobster," a groundbreaking AI model specifically designed to revolutionize coding and engineering. This advanced AI offers one-shot code generation, refactoring, dependency management, and rapid application development, promising significant productivity gains and improved software quality. The document also highlights Lobster's broader capabilities in engineering problem-solving and creative application development, along with OpenAI's tiered access strategy to democratize its use. Finally, the text transitions to Technijian, a managed IT services provider, explaining how they offer expert guidance and strategic implementation services to help businesses integrate and maximize the benefits of cutting-edge AI technologies like GPT-5 Lobster within their existing workflows and IT infrastructure. ... Read More
AI-powered phishing

The Rising Tide of AI-Enhanced Cybercrime: How Machine Learning is Transforming the Threat Landscape

Ravi Jain
Comprehensively explores the escalating threat of AI-enhanced cybercrime, detailing how machine learning is transforming attack methodologies from advanced social engineering and intelligent malware to sophisticated network exploitation. It highlights the real-world impact of these adaptive threats on various sectors and outlines crucial defensive strategies, emphasizing the need for deep network visibility, AI-resistant architectures, and advanced threat detection. Finally, the text introduces Technijian as an expert managed IT services provider that helps organizations in Southern California strengthen their cybersecurity posture against these evolving, intelligent threats. ... Read More
How AI Chatbots Are Putting Your Banking Accounts at Risk

How AI Chatbots Are Putting Your Banking Accounts at Risk

Ravi Jain
Examines the growing security risks associated with AI chatbots in banking, highlighting how cybercriminals exploit these tools. It explains that AI chatbots can generate malicious or incorrect links for banking sites, leading users to sophisticated phishing traps enhanced by generative AI. The text also outlines why these AI-generated links cannot be trusted, citing accuracy issues and a false sense of security, particularly for smaller financial institutions. Finally, it offers essential protective measures for individuals and discusses how specialized cybersecurity firms like Technijian can help organizations defend against these evolving AI-powered threats. ... Read More
How to Build AI-Powered API Integration Systems Using Model Context Protocol (MCP) in 2025

How to Build AI-Powered API Integration Systems Using Model Context Protocol (MCP) in 2025

Ravi Jain
Model Context Protocol (MCP), an open standard framework released by Anthropic in November 2024, designed to revolutionize how AI systems integrate with external data sources and APIs. It addresses the complexity of traditional API integrations by offering a standardized interface for various tasks, simplifying the interaction between AI models and external services. FastMCP, a Python-based framework, is highlighted as a premier tool for implementing MCP solutions, providing features like automated deployment and REST API generation from OpenAPI specifications. The source also discusses the architecture of AI agents for MCP client development, emphasizing optimal model selection and components like tool discovery and response processing. Finally, it outlines real-world use cases, performance optimization strategies, troubleshooting tips, and the future of MCP technology, positioning it as a critical advancement for streamlining AI integration in diverse industries. ... Read More