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When large language models (LLMs) hallucinate, developers typically assume the model lacks the required facts. Engineering teams diagnose the error as missing knowledge. The standard response is to increase model size, expand training data, or build complex retrieval architectures.A new study by researchers at Google Research and Technion demonstrates that the knowledge is often not…
It's only the first day of September 2026, but the month and fall season are already off to the races in AI land, as Anthropic has just released its latest and most powerful large language models yet — Claude Fable 5.1 and Claude Mythos 5.1. The two names refer to the same underlying model. Fable…
Egiziago Cioffi is the IT and Enterprise Architect and CEO of SynSphere Italia, a Microsoft partner based in Milan. He built an agent himself. He wrote the indexing job, configured the Azure OpenAI retrieval pipeline, connected it to SharePoint, and watched it pass every evaluation his team ran.His Azure OpenAI email assistant auto-resolves about 60%…
Perplexity today launched hybrid compute for its agentic platform, Computer, a system that lets a single AI agent split its work between frontier models running in the cloud and smaller open-weight models running locally on Apple silicon Macs — routing sensitive data to the local machine so it never leaves the device.The company says it…
Presented by SAPHR tracks employees and skills. Finance owns headcount targets and cost. Procurement manages contractors and services spend. Together, they leave executives unable to answer basic questions about how workforce decisions actually translate into business outcomes.Fragmented planning creates workforce blind spotsEach function has its own systems, its own planning cadence, and its own assumptions…
The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Telegram, iMessage, WhatsApp, Discord etc), has cooled off substantially from its peak in March 2026.But over the weekend, OpenClaw's creator Peter Steinberger and current…
If you look at the commit histories of modern data platforms, something profound has shifted over the last two years. The friction of writing syntax has collapsed. With Cursor, Claude Code, and agentic workflows now living inside our Docker containers and IDEs, generating the first implementation of a distributed streaming pipeline or a complex API…
Presented by BoxIdentity and permissions are no longer enough to secure enterprise AI agents. They govern what an agent can reach, not how it behaves once it starts working on its own, and an autonomous agent can turn legitimate access of enterprise data into unintended action in seconds. That gap is pushing enterprise AI security…
Enterprise AI has entered a new era. Organizations are rapidly moving beyond assistants that answer questions to autonomous agents capable of reasoning, invoking tools, accessing enterprise applications, coordinating with other agents, and completing multi-step business workflows with minimal human intervention.This shift represents a fundamental change in how software operates. Traditional applications execute predefined logic written…
There is a clear repeating trend in agent deployments: The gateway is the first control teams reach for, but it is the one they are least ready to run. This is because gateways sit on top of identity and attribution layers that are mostly not there.The first layer of risk is not hypothetical. In June,…
