13 posts are grouped under this topic.
The current trend in AI modeling is shifting from simply increasing parameter counts to focusing on how to maintain high performance with less data while operating models efficiently. Particularly, as Large Language Mode
The dawn of the AI-driven search era is presenting website operators with an entirely new dimension of challenges. We must now understand not only how human users click but also how AI agents, such as ChatGPT or Claude,
As AI evolves from simple autocomplete to autonomous agents, the role of the software engineer is shifting toward oversight and orchestration. This post explores how tools like Cursor 3 are preparing us for a future where agentic workflows handle the heavy lifting of coding.
As AI demand surges, the industry is pivoting toward glass substrate technology to enhance interconnection density and performance. This post explores how innovations in packaging are becoming a critical competitive edge in the global semiconductor supply chain.
As AI agents move from simple automation to active decision-makers, they introduce new security risks similar to 'shadow IT.' This post explores the concept of an 'Agent Governance Stack' to prevent agents from taking unauthorized or harmful actions.
An exploration of the massive hardware scaling currently underway in the AI industry. This post covers Google Cloud's new serverless GPU support, the introduction of eighth-generation TPUs, and Anthropic's landmark agreement with Amazon to secure 5 gigawatts of compute capacity.
A deep dive into how AI-generated tracks now constitute nearly half of all new music uploads on the Deezer platform. The post explores the scale of this phenomenon, with over two million AI tracks being uploaded monthly.
Explore how generative AI is transforming the media landscape, from 44% of new songs on Deezer being AI-generated to new advertising models within ChatGPT. This post examines the scale of automated content creation and its impact on the creative industry.
Explore how modern AI agents are transforming software development by automating error analysis and improving coding accuracy. We look at practical implementations using tools like n8/Sentry/Gemini pipelines and the latest advancements in models like Claude Opus 4.7.
Explore how AI agents are transforming software engineering through automated error analysis and high-performance coding environments. This post examines real-world implementations like n8n/Sentry pipelines and the massive scale of SpaceXAI's Colossus supercomputer.
As AI models scale, a looming global shortage of DRAM could impact production through 2030. This post explores the projected gap between supply and demand for memory components essential for high-performance computing.
Explore how new tools like Claude Code, Kimi K2.6, and custom n8n pipelines are transforming software engineering. This post examines the shift from manual debugging to autonomous error-tracking agents and swarm-based coding capabilities.
Explore how AI agents are being integrated into DevOps pipelines to automate manual tasks like error monitoring and reporting. This post examines real-world implementations using tools like n8ng, Sentry, and Google Gemini.