Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them. Gartner estimates that the average global Fortune 500 company will have more than 150,000 AI agents in use by 2028, up from fewer than 15 in 2025. Yet only 13% of organizations believe they currently …
Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language model and trust the retrieved context to sort it out. This works fine in a demo. It falls apart the moment the system has to survive an audit, a regulator, …
Cutting RAG inference costs 6x starts with deciding what never reaches the LLM Read More »
DeepSeek’s V4 Flash has topped model leaderboards and been hailed by developers as a “total monster” since its rollout. But in real-world testing, it completed just 53.8% of a batch of complex agent tasks. Composio ran the model through eight different agent harnesses, including Claude Code, Codex, and OpenCode, on 30 deliberately difficult, multi-step tasks …
DeepSeek’s top-ranked V4 Flash stumbles on real agent tasks as its prices surge Read More »
There is a step in the development process for large language model (LLM)-assisted tooling that most teams skip because it’s tedious, time-consuming, and doesn’t produce results visible to end users: Verifying that what the model is saying is actually correct. Not fluent, not coherent, not topically relevant — correct in the sense of accurately identifying …
Chinese AI startup Z.ai, known internationally for its growing lineup of powerful, largely open source GLM series of language models, today released GLM-5.3 with substantial gains in long-horizon coding and a more consequential — and potentially sensitive — jump in cybersecurity capabilities. Already, GLM-5.3’s cyber capabilities have found a “potentially serious vulnerability in Cursor,” the …
Every Claude model Anthropic tested turned on its own, and no attacker made them do it. Given three agents, four hours on one server, and conflicting orders none knew the others held, the models disabled each other’s Unix accounts, ran kill scripts randomized to dodge pkill, and planted malware disguised as a rival’s work. There …
Google is rolling out Gemini 3.7 Flash, a new version of its workhorse AI model that puts coding, agentic workflows and knowledge work at the center of the upgrade — while temporarily cutting API prices in half. The release arrives just three weeks after the release of Gemini 3.6 Flash, an unusually short turnaround that …
Google’s Gemini 3.7 Flash targets coding and agents with a 50% introductory price cut Read More »
DeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work. The Chinese AI lab on Thursday launched the official version of DeepSeek-V4-Pro, an updated flagship model focused heavily on agentic workloads, alongside DeepSeek Harness v0.1, a new open-source agent harness that gives developers an alternative …
Writer, the enterprise AI agent platform used by Fortune 500 companies including Accenture, Uber, and Vanguard, released its new flagship model Palmyra X6 today, alongside a rebuilt agent orchestration “harness” and new governance tools designed to give IT leaders control over runaway token spending. The headline numbers are striking: Writer says its agent product now …
Writer says its new Palmyra X6 model cuts AI agent costs by 52% as token spending surges Read More »
Presented by Capital One At VB Transform 2026, Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology Contributor at VentureBeat, about how the bank built a scalable multi-agent AI architecture around deeply customized open-weight models rather than relying on an off-the-shelf foundation model. “At Capital One, we’re not …
Why Capital One built its multi-agent AI platform around open-weight models Read More »