Deploying large language model (LLM) systems in production is far more complex than simple tutorial demos, as real-world challenges like state changes, concurrency, and regulatory scrutiny break naive…
Relying on autonomous OSINT (Open Source Intelligence) AI agents, which are gaining popularity in Japanese security communities, leads to "skill atrophy" among human analysts. It describes a "Skeleton…
Agent Deployment as a Service (ADaaS) is a delivery model where specialist firms deploy working AI agents directly into a client's production environment, replacing traditional consulting that often o…
AI, particularly large language models (LLMs), should generally not be used for software development due to significant trade-offs, including mental atrophy, loss of ownership, increased maintenance c…
The author, an AI professional, built an AI narrative platform called WYRD in about a month for roughly $467 using the OpenClaw agent framework, despite not being a developer. The platform allows user…
An AI agent was deployed on GetClawCloud and connected to a Telegram bot, where it autonomously received a video, wrote its own Python code to process it, and sent the result back without any manual s…
Development of a full-stack mobile and AI-powered supply chain optimization app built with FastAPI, React Native, and data science tools. The project integrates AI directly into a real application, us…
According to the article, Endress+Hauser developed an AI diagnostic system that analyzes real-time sensor data and historical telemetry from industrial instruments to detect and classify measurement f…
The article investigates whether increasing an AI model's "thinking time" through additional recurrent loops during inference improves its performance, using a small-scale OpenMythos model trained on …
Claude Code automatically scans project files, including `.env` files containing sensitive credentials like database passwords and API keys, as soon as a project is opened. A GitHub issue confirmed th…
Garry Tan, the head of Y Combinator, is coding late at night to stress-test his belief that AI has dramatically shortened the distance between an idea and a shipped product. He is building GStack, an …
PyTorch's `torch.load()` function uses the Python pickle format for serialization, which inherently executes arbitrary code when loading a file, making it trivially exploitable for remote code executi…
AI-generated content often contains fabricated statistics, misattributed quotes, and outdated facts presented as current, which can damage a creator's credibility. It identifies three common patterns …
Job posting from a startup founder seeking a senior full-stack technical co-founder to lead product architecture for an AI-powered "Contract-to-Cash Vertical OS" that targets capital-efficiency in an …
Anthropic's "Dreams" feature is not merely a personalization tool but an asynchronous memory consolidation pipeline that processes user data during low-demand periods to improve GPU utilization and re…
A 2026 VentureBeat survey of 40 enterprises found that 72% believe they have meaningful control over their AI deployments, yet most organizations lack governance over what their AI agents spend. The a…
To enable Thai text-to-speech (TTS) for the Garudust AI agent using iApp Technology's TTS API, requiring no code changes due to Garudust's pluggable script tool system. Users can install the TTS tool …
Practical starting point for security teams new to AI red-teaming, emphasizing that the process requires structured preparation distinct from traditional security testing. It highlights prompt injecti…
AI is transitioning from experimental demos to foundational infrastructure, as evidenced by major investments and corporate restructuring. Key developments include Google and Blackstone planning a $5 …
Choosing between Make.com, n8n, and custom Python agents should be based on a team's automation maturity level rather than a feature comparison. It recommends Make.com for non-technical teams with sim…