Effective Context Engineering for AI Agents: A Developer’s Guide
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Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training. In a controlled CLEVR setting (Johnson et al.,2017), we find …
Read more “Local Mechanisms of Compositional Generalization in Conditional Diffusion”
The Palantir Ontology Palantir’s software powers real-time, human-agent decision-making in many of the most critical commercial and government contexts around the world. From disaster response to nuclear energy production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational transformation. While many factors contribute to achieving and scaling …
Migrating a text agent to a voice assistant is increasingly important because users expect faster, more natural interactions. Instead of typing, customers want to speak and understand in real time. Industries like finance, healthcare, education, social media, and retail are exploring solutions with Amazon Nova 2 Sonic to enable natural, real-time speech interactions at scale. …
Read more “Migrating a text agent to a voice assistant with Amazon Nova 2 Sonic”
At Google Cloud Next ‘26, we announced that more than 50 Google-managed Model Context Protocol (MCP) servers are generally available or in preview, with more on the way. Why it matters: To move beyond experimental prototypes, AI agents must be able to access real-world data and solve complex problems autonomously. Google-managed Managed Context Protocol (MCP) …
Read more “50+ fully managed MCP servers now available for Google Cloud services”
“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant,” reads OpenAI’s coding agent instructions.
Multi shot consistency was the test I cared about. Same girl across four cuts in different locations and lighting, with each shot using a different framing convention (long shot in the tide at dusk, side close up at a train window, rear tracking down a slope at sunset, environmental wide of a summer seaside station). …
Read more “HappyHorse 1.0, four shot anime sequence with character consistency across cuts”
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Consider a typical Monday morning: you’re manually copying data from several different systems to create a weekly report, then formatting it for different stakeholders. This single task can consume several hours that could be spent on more strategic work. Multiply this across your team, and these repetitive tasks add up quickly. Amazon Quick Flows automates these …
Read more “Automate repetitive tasks with Amazon Quick Flows”
Musk’s lawsuit challenges OpenAI’s evolution under Sam Altman. But during jury selection, several potential jurors voiced negative views of Musk himself.