How to actually measure if your LLM is safe
A practical guide for evaluating large language model safety recommends using an LLM-as-a-judge pattern with a stronger model like GPT-4o to grade outputs, as manual review and keyword matching are in…
A practical guide for evaluating large language model safety recommends using an LLM-as-a-judge pattern with a stronger model like GPT-4o to grade outputs, as manual review and keyword matching are in…
Geoffrey Hinton, the Nobel Prize-winning computer scientist known as the 'Godfather of AI', has suggested that today's AI systems may already be conscious, while Richard Dawkins, author of 'The Selfis…
A cascade architecture that routes simple queries to a local 7B model and escalates complex ones to a flagship model like Claude 3.5 Sonnet or GPT-4o can cut API costs by 60-70% for enterprise RAG que…
A developer proposes the LLM waterfall pattern as a failover strategy for production AI applications, outperforming simple retries and circuit breakers by cascading requests through prioritized provid…
Anthropic launched Opus 5, a new AI model delivering near-Fable 5 performance at half the cost, targeting everyday office work and coding tasks. The model, released July 25, 2026, features lighter saf…
Enterprises are pivoting from AI hype to utility as CFOs demand measurable ROI, with many early proof-of-concept projects failing to meet KPIs on cost per resolution or hours saved per employee, accor…
Google's AI language models fabricate information about people and entities, creating legal liability for defamation, according to a technical analysis. The problem stems from LLMs functioning as auto…
An LLM Gateway decouples requests from providers to handle load balancing, failover, and caching, reducing error rates from 12% to 0.5% during peak and cutting token costs by roughly 20% by routing si…
HarnessRouter offers a unified API that normalizes requests and responses across different AI agent providers, enabling developers to route tasks to models like Claude 3.5 Sonnet or GPT-4o based on co…
Prentis is shifting AI focus from coding to task automation, arguing that the biggest value unlock for LLM agents lies in navigating browsers, interacting with legacy software, and executing multi-ste…
An adversarial review workflow pitting Claude 3.5 Sonnet against GPT-4o achieved a 90% bug detection rate on 10 complex TypeScript functions, compared to 60% for Claude alone and 50% for GPT-4o alone,…
Mwe-MCP, an open-source MCP server using a wiki structure with per-item access control lists, enables self-hosted shared team memory for AI agents while redacting sensitive information before it reach…
AI workflow skills are shifting from prompt engineering to system orchestration, according to an analysis of long-term technical capabilities. The most durable skills through 2030 include managing con…
Claude 3.5 Sonnet outperformed GPT-4o in a legal reasoning benchmark involving a complex inheritance dispute with 19th-century housing cooperative statutes, according to a test by a developer. Claude …
A technical analysis of ChatGPT forums reveals that effective prompt engineering requires role prompting, constraint mapping, and few-shot examples rather than generic requests, according to a user wh…
OpenAI's refusal to release open-weight models creates technical friction for developers, according to a technical analysis. Closed weights prevent local fine-tuning, edge deployment, and inference op…
Cursor and Windsurf, both built on VS Code, differ fundamentally in their approach to AI-assisted coding: Cursor focuses on high-accuracy codebase indexing and multi-file edits via Composer, while Win…
Imbue AI released Catalyst, an open-source framework that implements a discovery loop for AI agents to autonomously propose, test, and refine formal theories from data. The system uses a state-machine…
A guide for beginners on prompt engineering outlines techniques such as role prompting, few-shot prompting, and output format control to improve AI responses, noting that GPT-4o excels at few-shot pro…
A developer using Aider CLI for coding found that the token limit caused a hallucination loop where the LLM repeatedly suggested incorrect fixes for a caching layer bug, with response times dropping f…