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This article details the coffee culture in Portugal, explaining the types of coffee available, how to order them (bica, cimbalinho, galão, etc.), whether to ask for water, and when Portuguese people typically drink coffee.
Lightweight coding agent that runs in your terminal, allowing chat-driven development with the power to execute code and manipulate files.
This article explains prompt engineering techniques for large language models (LLMs), covering methods like zero-shot, few-shot, system, contextual, role, step-back, chain-of-thought, self-consistency, ReAct, Automatic Prompt Engineering and code prompting. It also details best practices and output configuration for optimal results.
This article discusses how to choose a software architecture based on project size, domain features, runtime performance requirements, and flexibility needs. It emphasizes that there is no one-size-fits-all solution and advocates for selecting patterns as tools tailored to specific circumstances.
This article details a method for converting PDFs to Markdown using a local LLM (Gemma 3 via Ollama), focusing on privacy and efficiency. It involves rendering PDF pages as images and then using the LLM for content extraction, even from scanned PDFs.
A user with a Russian IP address attempted to log into NLRB systems shortly after DOGE gained access, raising concerns about potential foreign intelligence operations. A whistleblower alleges DOGE exfiltrated data and disabled security monitoring, and received threats after raising concerns internally.
The US government initially ended funding for the Common Vulnerabilities and Exposures (CVE) database. However, funding has been restored through the CVE Foundation and CISA. This article covers CVE from the perspective of effects on Android alone.
This blog post details findings from the Semantic Telemetry Project, analyzing user engagement with Microsoft Copilot. Key takeaways include the correlation between complex task engagement and continued tool use, the increasing complexity of tasks performed by novice users, and the importance of AI expertise matching user expertise for satisfaction.
This article details an iterative process of using ChatGPT to explore the parallels between Marvin Minsky's "Society of Mind" and Anthropic's research on Large Language Models, specifically Claude Haiku. The user experimented with different prompts to refine the AI's output, navigating issues like model confusion (GPT-2 vs. Claude) and overly conversational tone. Ultimately, prompting the AI with direct source materials (Minsky’s books and Anthropic's paper) yielded the most insightful analysis, highlighting potential connections like the concept of "A and B brains" within both frameworks.
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