#Venturebeat

As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production.…

At 620 million monthly users, calling a frontier model for every image recommendation isn't a strategy — it's a bill. Pinterest CTO Matt Madrigal solved it by gutting Qwen3-VL's vision layer and rebuilding it with proprietary embeddings, cutting costs 90%…

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits.…

Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know?…

Presented by Equinix Digital systems are central to economic resilience. But the governance models supporting them were designed for a bygone era, when systems were smaller, often centralized, and rarely crossing multiple jurisdictions.…

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context.…

Cloud design software company Figma is officially transforming its AI design assistant, Figma Make, from a prototyping sandbox into a live, visual software editor that connects natively to production codebases.…

DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s frontier labs.…

Anthropic today released Claude Opus 4.8, an upgrade to its flagship model that ships at the same price as its predecessor, alongside a dramatically cheaper "fast mode" tier and a new feature that lets the model spawn hundreds of parallel subagents for…

Mistral AI used its inaugural conference on Wednesday to announce a sweeping expansion into industrial manufacturing, a new inference data center south of Paris, and a rebranding of its consumer-facing assistant — moves that collectively signal the…

Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time.…

From VentureBeat: Developers can now debug and evaluate AI agents locally with Raindrop's open source tool Workshop

From VentureBeat: Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion — what it means for AI infrastructure

From VentureBeat: Agent authorization is broken — and authentication passing makes it worse

From VentureBeat: Claude Code's '/goals' separates the agent that works from the one that decides it's done

From VentureBeat: Enterprises can now train custom AI models from production workflows — no ML team required

From VentureBeat: AI IQ is here: a new site scores frontier AI models on the human IQ scale. The results are already dividing tech.

From VentureBeat: Anthropic reinstates OpenClaw and third-party agent usage on Claude subscriptions — with a catch

From VentureBeat: Anthropic finally beat OpenAI in business AI adoption — but 3 big threats could erase its lead

From VentureBeat: Frontier AI models don't just delete document content — they rewrite it, and the errors are nearly impossible to catch