Build Your Own AI Chatbot Like ChatGPT — A Practical Guide with Code

The development of Dew, an AI character inspired by Duolingo, aims to bridge the gap between artificial intelligence and human-like interaction. Unlike traditional AI, which often lacks emotional expression, Dew is designed to communicate with users through facial expressions and reactions, making interactions feel more personal and engaging. This innovation is significant as it could enhance user experience and acceptance of AI technologies, making them more relatable and effective in everyday applications.

The rise of agentic browsers, which operate autonomously without user input, raises significant concerns about vulnerabilities that could lead to data and financial losses. As these AI systems become more prevalent, understanding their risks is crucial for users to protect their information and assets. This discussion highlights the importance of awareness and caution in the evolving landscape of AI technology.

In her first post, AI developer Rajni explores the intriguing intersection of logic and human nature in artificial intelligence. She shares a simple Python function that illustrates a key philosophical debate: while AI models are often designed to make rational decisions, human choices are frequently less than optimal. This thought experiment invites readers to consider the implications of programming AI to make sub-optimal choices, highlighting the complexities of decision-making in both machines and humans.

This article introduces readers to Navidrome, an open-source self-hosted music streaming service, and provides a practical guide on how to set it up using an Ansible playbook. This is significant as it empowers users to take control of their music libraries and enjoy personalized streaming experiences without relying on commercial services.

Hacktoberfest 2025 has been an amazing experience for me, marked by six successful contributions to various open-source projects. From enhancing CI/CD pipelines to adding user-facing features, each merged pull request has not only helped improve these projects but also significantly boosted my skills and confidence in coding. This journey highlights the importance of collaboration and learning in the tech community, making it a valuable experience for anyone looking to grow in their programming career.

Cursor's innovative approach to co-designing a language model with its environment has resulted in an AI that is four times faster than its competitors. This breakthrough not only showcases the potential of specialized AI but also poses a significant challenge to established giants in the industry. As technology continues to evolve, Cursor's advancements could redefine coding efficiency and set new standards for AI development.

I just made my first contribution to Hacktoberfest by tackling an issue related to implementing a binary search algorithm in Python. This experience not only helped me practice my coding skills but also allowed me to engage with the open-source community. It's exciting to be part of such a collaborative event that encourages developers to contribute and learn together.

Many people and companies are missing out on the true potential of ChatGPT by using it merely as a chatbot. This article highlights how a select few businesses are leveraging ChatGPT to achieve results that traditional automation can't match. Understanding ChatGPT as a strategic tool can unlock significant value, making it essential for organizations to rethink their approach to this technology.

This article discusses the modern need for efficient background processes in application development and introduces a simple solution using .NET's System.Threading.Channels. It highlights how this approach can streamline communication with APIs, making it easier for developers to implement background services without the complexity of traditional methods. This matters because it can significantly enhance application performance and developer productivity.

This article dives into the efficient processing of large datasets using Laravel by introducing a clean architecture for batch jobs. It emphasizes the importance of breaking down tasks into manageable chunks, which not only enhances performance but also ensures safety and extensibility in job handling. This approach is crucial for developers looking to optimize their applications and manage resources effectively.

MongoDB's latest enhancements to its aggregation framework, particularly with the $group and $sum operations, are making waves in the tech community. By leveraging indexes, users can now achieve significantly faster performance, especially with the DISTINCT_SCAN optimization. This is crucial for developers and businesses that rely on efficient data processing, as it not only speeds up queries but also improves overall application performance. As MongoDB continues to innovate, these advancements highlight its commitment to providing powerful tools for data management.

Tonight's Game 7 of the 2025 MLB World Series between the Dodgers and Blue Jays is set to be an exciting showdown, and fans can catch all the action without cable. This matchup is significant as it showcases two of the league's top teams battling for the championship title, making it a must-watch event for baseball enthusiasts.

The article introduces Monetzly, a new solution for monetizing AI applications through dual revenue streams. It highlights the potential for developers to earn money not only from subscriptions but also by integrating relevant ads into their apps. This innovative approach allows creators to focus on enhancing their applications while still benefiting financially, making it a significant development in the AI app market.

Researchers have found that large language models, often celebrated for their problem-solving abilities, tend to operate under the assumption that conditions remain constant while they process information. This discovery is significant because it highlights a limitation in AI's adaptability to real-world scenarios where interruptions or new data can occur unexpectedly. Understanding this behavior could lead to improvements in AI systems, making them more responsive and effective in dynamic environments.