When people hear “computer vision,” they think of self-driving cars, facial recognition, and autonomous robots. These are the headline …
Read MoreThe most common misconception about agentic development is that it means letting AI agents build software unsupervised. This is wrong, and the …
Read MoreEvery executive team has an AI strategy now. Or at least, they have a slide deck with “AI Strategy” in the title. It features a quadrant …
Read MoreThe GPU infrastructure conversation in AI is dominated by the hyperscalers. Training frontier models. Building 100,000 GPU clusters. Spending billions …
Read MoreEvery AI platform vendor will tell you they want to be your partner. What they mean is they want to be your only partner. This is not conspiracy. It …
Read MoreEvery week, someone publishes a demo of an AI agent that browses the web, writes code, manages a calendar, and books flights. The demo takes four …
Read MoreThere is a pattern in software organizations so common it has earned its own name: the feature factory. You know the symptoms. Backlogs measured in …
Read MoreWe published PlanOpticon, our meeting video analysis platform, as open source on PyPI and GitHub. Not a stripped-down version. Not a feature-limited …
Read MoreWe wrote previously about the market correction happening as organizations move past the initial excitement of AI-assisted development. The honeymoon …
Read MoreRetrieval-Augmented Generation has become one of the most misused terms in AI. Vendors sell “RAG solutions.” Startups pitch “RAG …
Read MoreDigital transformation has become the most expensive phrase in enterprise technology. Billions of dollars flow into initiatives labeled “digital …
Read MoreThe pitch is always clean. “Integrate AI and save 40 percent on operational costs.” The pricing page shows tokens per dollar. The demo …
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