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The DOJ proved to the court that Google acted illegally, but it won't get the big win it wanted.
The Trump administration has intervened in The New York Times' copyright lawsuit against OpenAI, making an argument in favor of the AI lab. The landmark lawsuit, filed in December 2023, alleging that OpenAI unlawfully trained its AI systems on articles from The New York Times and seeks to recoup "billions of dollars" in damages from both Microsoft and OpenAI. This week, the Trump administration filed a statement of interest in the case, supporting OpenAI's argument that it's fair use to train a
This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and... This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and offers five guidelines for selecting draft length and draft mechanism across the Pareto frontier. For a discussion of how model design choices impact both throughput and interac
Wonderful said it will use its $550 million Series C funding to develop products faster, expand its FDE teams, and meet demand for its products.
AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discovery, triage, reproduction, and patching of software vulnerabilities. Available to all as an open-source framework, Mantis is part of Google’s internal approach to find and fix vulnerabilities at machine-speed. It creates a more effective scalable, context-aware repository analys
To further empower our customers in their data journey, we are excited to announce the launch of identity columns in BigQuery. This new feature allows users to define columns that automatically generate sequential 64-bit integer values, simplifying the way you manage unique identifiers within your tables. Data engineers are always looking for ways to make data ingestion smoother and more reliable. BigQuery identity columns offer a powerful, built-in mechanism to automatically generate unique num
In most software, a red test is a bug. On the systems I work on, a red test can be a patient-safety signal. That one difference reshapes almost every decision you make when you sit down to design a quality strategy. I've spent more than a decade in software quality, most of it around medical device software: robotic-assisted surgery, surgical simulation, and clinical education platforms. The engineering is interesting on its own. What makes it genuinely hard is that every test, every pipeline, a
AI cost optimization goes beyond model selection. Discover how context engineering in Microsoft Foundry helps lower AI costs by improving knowledge retrieval, tool selection, memory, and agent performance at scale. The post The Economics of Agent Optimization: Context engineering for enterprise AI agents appeared first on Microsoft Azure Blog.
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