The GIL isn’t so Bad After All
A new article argues that Python's Global Interpreter Lock (GIL) is not as problematic as commonly believed, especially given the historical context of single-core computers in 1992 when threading was…
A new article argues that Python's Global Interpreter Lock (GIL) is not as problematic as commonly believed, especially given the historical context of single-core computers in 1992 when threading was…
Knowledge graphs are emerging as a solution to retrieval failures in AI systems, where models cannot answer questions despite relevant documents existing. By structuring knowledge as entities and rela…
The rise of AI tools has significantly impacted IT, with the field of machine learning and AI research being the most affected, according to a new article on Towards AI.…
A developer repurposed Claude Code from a coding tool into a personal chief of staff by creating a folder that manages their mornings, demonstrating the AI's versatility beyond repository tasks.…
Coding agents like Claude Code and Codex offer significant efficiency gains for programmers, but safety concerns require careful handling. The article provides guidance on running these tools securely…
A developer built a cold memory layer for coding agents using a Claude Code skill that automatically creates Jira tickets and saves design documents to an Obsidian vault synced via Google Drive, solvi…
A senior architect describes how agentic AI systems require a fundamental shift from traditional distributed systems design, transforming principles like API contracts and governance to prioritize jud…
GitHub hosts over 4.3 million AI repositories, but only a few projects consistently appear in developer workflows. Eleven key repos, including OpenClaw and pi-mono, signal a shift toward local-first, …
A Miami startup claims its LLM processed 12 million tokens for $8, a task that would cost about $2,600 on Anthropic's top model, potentially breaking a decade-old limit in AI math.…
A new article argues that the AI framework used in prototyping can hinder production systems, emphasizing the critical importance of framework selection for successful deployment.…
Claude Code enables data scientists to transition from ad-hoc notebook cells to reproducible, agent-assisted workflows, according to a post on Towards AI.…
A new article on Towards AI explores design patterns for using Claude Code to build reliable, production-grade AI agent systems, moving beyond simple chat interactions.…
Cohere's 30-billion-parameter coding agent, with only 3 billion active parameters, achieved a score of 0.6 on a benchmark, outperforming models four times its size while running on a single H100 GPU.…
AI has collapsed the average cybersecurity breakout time to 29 minutes in 2025, with a record of 27 seconds, making human-only defense obsolete. Attackers now exfiltrate data in minutes, while defende…
The AI industry fundamentally relies on a single mathematical operation: the dot product, which multiplies two lists of numbers and sums the results. All advanced AI concepts, including attention mech…
MiniMax introduces M3, a sparse attention mechanism that efficiently processes up to a million tokens by selectively reading only relevant parts of the input, overcoming production failures of prior e…
Z.ai released GLM-5.2, which was tested against OpenAI's GPT-5.5 and DeepSeek V4-Pro on 18 coding tasks, with results published on Towards AI.…
A new article argues that running large language models locally on consumer hardware is now feasible, but notes that 52% of PCs have 16GB RAM or less, limiting model size. The author explains that Mac…
The proliferation of AI agents without proper production controls is creating an operations problem, as these agents risk becoming infrastructure debt. The article argues that organizations need to im…
A guide on maximizing OpenAI's Codex for programming tasks was published on Towards AI, following previous articles on Anthropic's Claude Code.…