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 …
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 …
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 …
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 »
The $29.3 billion AI coding tool just got caught with its provenance showing. When Cursor launched Composer 2 last week — calling it “frontier-level coding intelligence” — it presented the model as evidence that the company is a serious AI research lab, not just a forked integrated development environment (IDE) wrapping someone else’s foundation model. …
Presented by Tulsa Innovation Labs As the global energy system evolves, companies are racing to adopt technologies that can deliver real-world solutions, especially in hard-to-abate industries. Oklahoma, long known as the oil capital of the world, is a center for energy innovation, with Rose Rock Bridge at the forefront. A non-profit based in Tulsa, Rose …
From lab to market: Rose Rock Bridge fast-tracks energy innovation in Tulsa Read More »
Not long ago, the idea of being a “generalist” in the workplace had a mixed reputation. The stereotype was the “jack of all trades” who could dabble in many disciplines but was a “master of none.” And for years, that was more or less true. Most people simply didn’t have access to the expertise required …
Look, we’ve spent the last 18 months building production AI systems, and we’ll tell you what keeps us up at night — and it’s not whether the model can answer questions. That’s table stakes now. What haunts us is the mental image of an agent autonomously approving a six-figure vendor contract at 2 a.m. because …
Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos) Read More »
Large language models are running into limits in domains that require an understanding of the physical world — from robotics to autonomous driving to manufacturing. That constraint is pushing investors toward world models, with AMI Labs raising a $1.03 billion seed round shortly after World Labs secured $1 billion. Large language models (LLMs) excel at …
Three ways AI is learning to understand the physical world Read More »