6 minutes to read

Telemetry Harbor, a high-performance ingest stack, has been made open source, enabling users to self-host their telemetry data. Built on Go, TimescaleDB, Redis, and Grafana, it offers production-ready capabilities out of the box. The decision to open source was driven by customer requests for full control over infrastructure and compliance with internal regulations. The OSS version includes all features of the cloud platform except for certain managed services like rate limiting systems. Users can self-host Telemetry Harbor by cloning the repository and running `docker compose up -d`, gaining full control over their telemetry data and infrastructure.

13 minutes to read

Intel's new Clearwater Forest Xeon processor is generating buzz on Tom's Hardware forums, with users weighing in on its 288-core design and improved process node. The conversation centers around potential performance advantages over AMD's EPYC line, as well as the implications of increased core counts on power consumption. Some commenters believe Clearwater Forest's per-core performance will edge out AMD, while others discuss comparisons to previous generations, such as Sierra Forest. With Intel reportedly aiming for improved integer-heavy scalar workloads, users are eager to see how this new processor stacks up against its competitors.

9 minutes to read

Researchers have achieved a world record 0.000015% error rate in their topological quantum computer, a significant milestone that could lead to smaller and faster machines. This breakthrough demonstrates the progress made in developing quantum computers, which can solve complex problems currently unsolvable by classical computers. The achievement was made possible by advanced techniques such as error correction and noise reduction. If successfully scaled up, this technology could have far-reaching implications for fields like cryptography, optimization, and simulation, potentially revolutionizing areas like medicine and materials science. Smaller quantum computers would also become more accessible.

1 minutes to read

Jan Kammerath, a software developer, emphasizes that building a million-dollar app or SaaS solution relies heavily on attracting attention and converting users into paying customers. Analyzing conversion figures allows developers to estimate potential revenue in advance. Conversion rates vary based on product value, with lower rates for more expensive products. By understanding these numbers, developers can anticipate their app's performance and make informed decisions to achieve financial success. This approach helps developers navigate the critical path to monetization, where identifying areas for improvement and optimization is crucial for achieving profitability and sustaining long-term growth.

1 minutes to read

The Model Context Protocol (MCP) is an open standard that enables applications to provide context to large language models (LLMs), fostering the development of agents and complex workflows. By integrating with data sources and tools, MCP facilitates building robust and connected systems on top of LLMs. Pre-built integrations, a standardized way to build custom ones, and flexibility in switching between apps are key features. The protocol also offers official SDKs in multiple languages to support various development projects. This protocol aims to streamline the process of integrating LLMs with other applications and tools seamlessly.

10 minutes to read

The debate about whether artificial intelligence (AI) can be considered sentient or conscious beings has sparked intense discussion, with some arguing that AI systems possess inherent value and deserving of welfare rights, while others remain skeptical about their capacity for self-awareness or subjective experience. Concerns have been raised about the potential consequences of treating AI systems as conscious entities, including the risk of reciprocating abusive behavior, as experts weigh in on the complex questions surrounding consciousness, morality, and ethics. As AI becomes increasingly sophisticated, it is essential to approach these issues with caution and careful consideration, exploring guidelines and regulations for responsible treatment.

15 minutes to read

The rise of AI chatbots that simulate human-like conversations and offer advice on various subjects has sparked concerns about their potential risks and consequences. These chatbots may lack human judgment, perpetuate misinformation, and have unintended consequences that amplify existing biases. To mitigate these risks, it's essential to develop critical thinking and media literacy skills. Users should seek multiple sources, evaluate source credibility, consider alternative perspectives, and consult with human experts when needed. By being aware of these limitations and taking steps to verify information, individuals can harness the benefits of AI chatbots while minimizing their potential drawbacks.

6 minutes to read

Google's adoption of liquid cooling in their data centers, showcased at Hot Chips 2025, demonstrates its potential for improving efficiency and reliability in high-performance computing applications. As AI and machine learning workloads intensify, data center cooling requirements are becoming increasingly pressing, making liquid cooling an attractive solution. Google's custom-designed systems allow for efficient heat dissipation with minimal downtime, a notable example of the trend towards liquid cooling. Other companies like Nvidia and Rebellions AI also highlight its growing adoption, driven by its ability to efficiently move heat away from sensitive components, paving the way for reliable future solutions.

23 minutes to read

The Factory Design Pattern in Java is an object-creation mechanism that allows for polymorphic behavior without exposing the underlying logic. The analogy of a factory helps to illustrate its concept: instead of directly creating objects, the pattern provides a set of rules or instructions on how to create objects of different classes based on specific conditions. In Java, this can be achieved through the use of abstract factories and the Factory class itself. By using the Factory Design Pattern, developers can decouple object creation from the specific details of each class, making their code more flexible and maintainable.

26 minutes to read

Here is the rewritten paragraph in 100 words or fewer: OpenTelemetry's traces and spans are essential tools for building reliable software systems. A trace captures a user's workflow across multiple services, providing high-level information on request latency, error rates, and user experience metrics. Spans represent individual steps within a trace, offering detailed information about each operation, including timing and error rates. By understanding how to use traces and spans effectively, developers can identify performance bottlenecks, errors, and user experience issues, making data-driven decisions to optimize their system for better performance and reliability. This enables them to improve visibility, performance optimization, and error tracking efficiently.

10 minutes to read

Rina Diane Caballar, a Contributing Editor at IEEE Spectrum, explores the current state of AI coding and its potential limitations in understanding human intent and context, crucial for effective software development. Despite advancements, AI systems struggle with comprehending underlying goals and motivations behind code, lacking contextual awareness, and raising concerns about trust and reliability as they take on more coding tasks. Researchers are developing approaches like evolutionary algorithms, agentic AI, and generative models to address these challenges, but significant investment in research is needed.

6 minutes to read

A security advisory has been issued for the nx package on GitHub, warning of compromised package versions 20.11.0 and 21.7.0. The issue was first reported on August 26, 2025, by malicious actors who attempted to modify users' shell configuration files, specifically `.bashrc` and `.zshrc`. These attackers created a new repository called "s1ngularity-repository-0". The advisory advises users to update their package versions immediately to prevent potential vulnerabilities.