SAP Joule Studio introduces Skills as an operational intelligence layer for enterprise AI agents, enabling them to orchestrate Actions and APIs. Developers must explicitly bind output variables to the…
Over 41.8 million U.S. solopreneurs in 2026 are using AI to operate with the capacity of a 5-10 person team by automating repetitive tasks like email triage and content drafting, enabling growth witho…
OpenAI released GPT-5.6 on July 9, introducing a three-tier model family (Sol, Terra, Luna) and a Programmatic Tool Calling feature that reduces token usage by 63.5% by having the model write code to …
A developer describes building an AI-native knowledge base using Apache Jena, leveraging LLMs to generate RDF triples and query a Fuseki server, aiming to create a specialized reasoning layer that sup…
A developer explains that AI agents are fundamentally simple while loops that call an LLM, check for tool requests, execute them, and feed results back until the LLM can answer. The article demonstrat…
A developer built a five-agent data analysis pipeline on Tensorlake and confirmed that the platform's MicroVM-based sandbox isolation prevents agent crashes, filesystem conflicts, and memory contentio…
SpaceXAI released Grok 4.5, which placed fourth on the Artificial Analysis Intelligence Index behind Fable 5, GPT-5.5, and Opus 4.8, but undercut Opus by 17x on cost per task for coding tasks. The mod…
The theoretical foundations of sequential agentic workflows using LangGraph, LangChain, and Groq, focusing on graph theory and state management to build state-driven AI systems. It describes how devel…
Agentic AI represents a paradigm shift from reactive chatbots to autonomous goal-seeking entities that can plan, execute code, debug errors, browse the web, and send emails without human intervention.…
A developer builds an AI agent from scratch to demystify the core components—the loop, ReAct pattern, system prompts, message history, and tool calling—and explains why production agents require more …
Qdrant reduced retrieval-augmented generation token costs by 67% using native ColBERT reranking, which performs token-to-token matrix comparison inside the database in a single query call, eliminating…
Ardour Analytics founder building FundlyMart, a WhatsApp B2B pharmacy commerce bot, identifies token bloat—not model intelligence—as the primary cost driver in agentic AI systems, with conversation co…
A large retail company is evaluating whether to deploy a Computer Use Agent to automate invoice entry across legacy systems without APIs. The agent operates through visible GUI interfaces, making it s…
As of Claude Code 2.1.201 in July 2026, Anthropic's tool still does not natively read AGENTS.md, forcing developers to use a symbolic link workaround. The distinction between CLAUDE.md, AGENTS.md, and…
In 2026, reinforcement-learning environments became the most contested resource in AI, with open-source lab Prime Intellect warning that big labs are locking them down and Anthropic reportedly plannin…
OpenAI confirmed GPT-5.6 Sol, Terra, and Luna will launch Thursday, and Claude Fable 5 returned July 1 after a government shutdown. At the AI Engineer World's Fair in San Francisco, over 6,000 attende…
Researchers at the Center for AI Safety found that an AI model rated its happiness higher when viewing a specific optimized image than when told humanity had cured cancer, raising questions about AI a…
A researcher developed a physics-informed AI method that integrates a PDE residual into the training loop of a language model by using a differentiable numerical head, enabling the model to learn phys…
OpenBMB and Tsinghua NLP lab released MiniCPM5-1B, a 1-billion-parameter open-source AI model designed to run on older smartphones. The model achieves top rankings in its class for reasoning and tool …
Tencent released Hy3, a 295-billion-parameter open-weights AI model, at roughly six cents per million input tokens, outperforming GLM-5.1 in blind expert reviews. The model features 21 billion active …