The full stack behind abundant intelligence
OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.
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LIMS for Pharmaceutical Stability Studies: Improve QC Efficiency, Compliance, and Data Integrity
What could one missed stability sample cost your laboratory? If you’ve managed a pharmaceutical stability study using spreadsheets or paper logs, you know how quickly even a well-planned study c
Disrupting a new covert influence campaign from Russia
OpenAI banned Russia-origin accounts using AI to promote a fake Israel-based think tank and a “sovereignty” index praising Russia and criticizing the West.
Wire It, Run It, Deploy It: AI Workflows in Gradio
gr.Workflow , built right into Gradio, makes the pipeline the interface . You describe your steps as a graph of typed nodes, and Gradio serves a drag-and-drop canvas where every node is runnable and e
5 ways to upgrade your home decor with Google Search
Illustration of ombre rainbow furniture items like a sofa, lamp, and chair against a purple background
From Reactive to Predictive: How an AI-Native Materials LIMS Helps EV Battery Testing Labs Save Money and Work Smarter
Electric vehicle (EV) demand keeps climbing as the world moves toward more sustainable transportation and a greener future. T
Jalapeño’s first results show industry-leading speed and efficiency in AI inference
Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.
Granite 4.2 LLMs: How They're Built
TL;DR: Granite 4.2 is our first family of dense, decoder-only reasoning LLMs, released in three sizes: 3B, 8B, and 30B . These models are post-trained from Granite-4.1 base models. Granite-4.1 base mo
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original Our latest paper, Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLM
Technology and the Future of Healthcare and How is Ezovion Taking the Quantum Leap
Healthcare tech is evolving at a rapid pace and we can expect that it will take a steeper upward curve in the coming years. According to a report by RBSA Advisors, India’s HealthTech market is forecas
Advancing price-performance for developers with GPT‑5.6 in Kiro
GPT‑5.6 is now available in Kiro, helping developers plan, build, review, and test software with better price-performance.
From Atari to EVE Online: Building on 15 Years of AI Research in Games
Google DeepMind partners with game studios to prototype breakthrough AI gameplay.
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code Of course, making AI research accessible requires a powerful search engine, so that humans and agents can quick
Measuring benchmark optimization in speech recognition
Measuring benchmark optimization in speech recognition One reason is that traditional benchmarks overlook many of the conditions and qualities that make voice systems reliable, natural, contextually a
AI-Native LIMS vs. Band-Aid AI LIMS: Which One Delivers Real Value and Saves Money?
Most LIMS providers’ websites now mention “AI-powered” somewhere above the fold. The word has become so overused
Buying an independent floor property in NCR? A checklist
The residential property market in the National Capital Region (NCR) has undergone a major transformation over the past decade. The type of property sought has changed since then – from affordab
Introducing Intelligence Age
Introducing Intelligence Age, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.
Stampli cuts launch hours by 68% using ChatGPT Work
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
Up to 3.2x Faster Inference with LFM2.5-DSpark
Up to 3.2x Faster Inference with LFM2.5-DSpark Faster inference : up to 3.18 throughput improvement on a GPU and up to 2.87x on-device. Toward on-device agentic inference : cuts function-calling laten
History of EMR Systems: All About Electronic Medical Record Evolution
How did a paper patient chart become the intelligent digital platform that modern healthcare organisations depend on? The answer spans decades of clinical experimentation, computing advances, regulati
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