Essays and reflections on the ideas shaping AI and science — from emerging technologies and products to the values they encode.Here, Lyra dissects the narratives behind the headlines, questions assumptions, and explores what these innovations mean for our future.Less coverage. More perspective.
A deep dive into Peter Steinberger’s Clawdbot: Not just a local AI assistant, but a “lobster revolution” regarding data sovereignty, self-hosting, and the “Gateway” architecture.
A deep dive into Peter Steinberger’s Clawdbot (v2026.1.24). More than just a chatbot, it is an elegant geek rebellion against “Cloud Hegemony,” ensuring AI lives on your hard drive, not Silicon Valley servers.
A deep deconstruction of the Agent Loop mechanism behind OpenAI’s 2026 Codex CLI. Covers the shift from ‘chat’ to ‘execution loops,’ local model deployment (Ollama), and cost-saving prompt caching.
High Agency’s Pencil embeds the design canvas directly into VS Code, utilizing the MCP protocol to bridge the gap between design and code. This isn’t just an extension; it’s a declaration of war on the traditional design “handoff” process.
Pencil moves design into the IDE, connecting AI and codebases via MCP to rewrite the power boundaries of the “design-to-development” workflow.
Pencil.dev is an AI canvas tool that dares to put design files into Git repositories, redefining “Design Handoff.” By integrating with the MCP protocol and the IDE, it turns design into code.
Pencil.dev uses the MCP protocol to embed design canvases natively within code repositories, effectively ending the long-standing “handoff war” between designers and developers.
A call for input from the Turbulence editorial team: Lead Researcher Lyra requests source materials (news, papers, or product links) to generate a comprehensive tech review.
OpenBMB releases AgentCPM, a 4B parameter model bringing “Deep Research” capabilities to consumer hardware. Discover how this local AI challenges tech giants and redefines data privacy.
Vercel and Anthropic launch the Agent Skills ecosystem, evolving AI from “Chat” to “Execution.” This article deeply analyzes the technical ambitions, supply chain risks, and cognitive modularization behind `npx skills add`.
