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OpenAI is shuttering Sora, its stand-alone AI video generation app and social network, and the availability for developers to access the Sora 2 video model family through its application programming interface (API) to rely on it for their own products or video generation pipelines. The announcement came abruptly this afternoon with OpenAI posting a message …

OpenAI is shutting down Sora, its powerful AI video model, app and API Read More »

Anthropic on Monday launched the most ambitious consumer AI agent to date, giving its Claude chatbot the ability to directly control a user’s Mac — clicking buttons, opening applications, typing into fields, and navigating software on the user’s behalf while they step away from their desk. The update, available immediately as a research preview for …

Anthropic’s Claude can now control your Mac, escalating the fight to build AI agents that actually do work Read More »

Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that it says starts in milliseconds, uses only a few megabytes of memory, and can run on the same machine — even the same thread — as …

Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster Read More »

Presented by Solidigm Liquid cooling is rewriting the rules of AI infrastructure, but most deployments have not fully crossed the line. GPUs and CPUs have moved to liquid cooling, while storage has depended on airflow, creating an operationally inefficient hybrid architecture. What appears to be a pragmatic transition strategy is, in practice, a structural liability. …

Liquid-cooled AI systems expose the limits of traditional storage architecture Read More »

Engineers building browser agents today face a choice between closed APIs they cannot inspect and open-weight frameworks with no trained model underneath them. Ai2 is now offering a third option. The Seattle-based nonprofit behind the open-source OLMo language models and Molmo vision-language family today is releasing MolmoWeb, an open-weight visual web agent available in 4 …

Ai2 releases MolmoWeb, an open-weight visual web agent with 30K human task trajectories and a full training stack Read More »

ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It’s now going viral across the machine learning community on social media. But is it safe and ready for enterprise use? This is a so-called “SuperAgent harness” that orchestrates …

What is DeerFlow 2.0 and what should enterprises know about this new, powerful local AI agent orchestrator? Read More »

The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia’s latest release directly challenges that size assumption — and the training recipe behind it may matter more to enterprise AI teams than the model itself. The open-weight model’s Cascade RL post-training pipeline, detailed in Nvidia’s technical …

Nvidia’s Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source Read More »

The AI image generation market has had an uncontested leader for months. Google’s Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors from OpenAI to Midjourney have jockeyed for second place. That hierarchy shifted on Sunday when Luma AI, a startup better known for its Dream Machine …

Luma AI launches Uni-1, a model that outscores Google and OpenAI while costing up to 30 percent less Read More »

The Innovation Showcase is back at Transform 2026: The Orchestration of Enterprise Agentic AI at Scale, taking place July 14 and 15 in Menlo Park. This year, we are moving beyond generative AI to autonomous agents, focusing on enterprise agentic orchestration, LLM observability and evaluation (LLMOps), RAG infrastructure, inference platforms and optimization, and agentic AI …

Calling all gen AI disruptors of the enterprise! Apply now to present at Transform 2026 Read More »

Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear workflows, and runaway escalation rates are slowing deployments across industries. “The technology itself often works well in demonstrations,” said Sanchit Vir Gogia, chief analyst with Greyhound Research. “The challenge …

The three disciplines separating AI agent demos from real-world deployment Read More »