Enterprises are measuring the wrong part of RAG
Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no longer a feature bolted onto model inference — it has become a foundational system dependency. Once AI systems are deployed to support decision-making, automate workflows or operate semi-autonomously, failures in retrieval […]
Most RAG systems don’t understand sophisticated documents — they shred them
By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge. But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn’t in the LLM. The […]
OpenClaw proves agentic AI works. It also proves your security model doesn’t. 180,000 developers just made that your problem.
OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in […]
Arcee’s U.S.-made, open source Trinity Large and 10T-checkpoint offer rare look at raw model intelligence
San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source licenses to the public—enabling developers, solo entrepreneurs, and even medium-to-large enterprises to use the powerful AI models for free and customize […]
This tree search framework hits 98.7% on documents where vector search fails
A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate embeddings, store them in a vector database, and retrieve the top matches based on semantic similarity) works well for basic tasks such as Q&A over small documents. PageIndex […]
The trust paradox killing AI at scale: 76% of data leaders can’t govern what employees already use
The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to production scale or remain stuck in experimentation mode. […]
Infostealers added Clawdbot to their target lists before most security teams knew it was running
Clawdbot’s MCP implementation has no mandatory authentication, allows prompt injection, and grants shell access by design. Monday’s VentureBeat article documented these architectural flaws. By Wednesday, security researchers had validated all three attack surfaces and found new ones. (The project rebranded from Clawdbot to Moltbot on January 27 after Anthropic issued a trademark request over the […]
AI agents can talk to each other — they just can’t think together yet
AI agents can talk to each other now — they just can’t understand what the other one is trying to do. That’s the problem Cisco’s Outshift is trying to solve with a new architectural approach it calls the Internet of Cognition. The gap is practical: protocols like MCP and A2A let agents exchange messages and […]
Moonshot’s Kimi K2.5 is ‘open,’ 595GB, and built for agent swarms — Reddit wants a smaller one
Two days after releasing what analysts call the most powerful open-source AI model ever created, researchers from China’s Moonshot AI logged onto Reddit to face a restless audience. The Beijing-based startup had reason to show up. Kimi K2.5 had just landed headlines about closing the gap with American AI giants and testing the limits of […]
AI models that simulate internal debate dramatically improve accuracy on complex tasks
A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise. Their experiments demonstrate that this internal debate, which they dub “society of thought,” significantly improves model performance in complex reasoning and planning tasks. The researchers found that leading reasoning models […]