Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining: …
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This post was written with Bryan Woolgar-O’Neil, Jamie Cockrill and Adrian Cunliffe from Harmonic Security Organizations face increasing challenges protecting sensitive data while supporting third-party generative AI tools. Harmonic Security, a cybersecurity company, developed an AI governance and control layer that spots sensitive data in line as employees use AI, giving security teams the power …
In today’s dynamic business environment, accurate forecasting is the bedrock of efficient operations. Yet, businesses across all industries grapple with the constant challenge of predicting future demand, resource needs, and market trends. Nor is this an abstract problem; the cost of miscalculation can be substantial, leading to wasted resources and missed opportunities. Imagine a large …
Read more “How we built a multi-agent system for superior business forecasting”
BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent. Initial clinical work shows it can be inserted through a small opening in the skull and remain …
Read more “Scientists reveal a tiny brain chip that streams thoughts in real time”
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
Standard discrete diffusion models treat all unobserved states identically by mapping them to an absorbing [MASK] token. This creates an ‘information void’ where semantic information that could be inferred from unmasked tokens is lost between denoising steps. We introduce Continuously Augmented Discrete Diffusion (CADD), a framework that augments the discrete state space with a paired …
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Automated smoke testing using Amazon Nova Act headless mode helps development teams validate core functionality in continuous integration and continuous delivery (CI/CD) pipelines. Development teams often deploy code several times daily, so fast testing helps maintain application quality. Traditional end-to-end testing can take hours to complete, creating delays in your CI/CD pipeline. Smoke testing is …
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Today, we expanded Google’s support for Model Context Protocol (MCP) with the release of fully-managed, remote MCP servers, giving developers worldwide consistent and enterprise-ready access to Google and Google Cloud services. This includes support for MCP in Apigee, which makes it possible for agents to use your secure, governed APIs and custom workflows cataloged in …
Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper semantic understanding, contextual coherence, and more subtle reasoning are still difficult to obtain. The paper discusses state-of-the-art methodologies that advance LLMs with more advanced NLU techniques, such as semantic parsing, knowledge integration, and contextual reinforcement learning. We analyze the use …
Read more “Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding”
Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems from ambiguous descriptions, apply policies under competing constraints, adapt tone to sensitive situations, and provide complete solutions that address root causes. Without robust reasoning, AI systems fail when faced with nuanced …