OpenAI
SEP 22
Parallel cut research time and cost in half with GPT‑6 Astra
GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
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- Better prompt caching for GPT-6Learn how GPT-6 improves prompt caching with higher cache hit rates, new diagnostics, explicit breakpoints, and controls that reduce latency and…
- Introducing GPT-6 Sol and LunaMeet GPT-6 Sol and Luna, two models that bring frontier intelligence to everyday work with different balances of capability and cost.
- Enabling Private High-Performance Production AI Inference with NVIDIA Confidential ComputingAs large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and…
- Topology-Aware Workload Scheduling with NVIDIA TopographAI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload…
- What’s New for Game Developers: DLSS 5 with 3D-Guided Neural Rendering, NVIDIA ACE Updates, and New RTX Kit CapabilitiesNVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail…
- Parallel cut research time and cost in half with GPT‑6 AstraGPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
- Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROSGPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages…
- Priorities and principles for effective third party assessmentsOpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.
- How UK AISI and EvalEval Are Making Benchmark Results Reproducible
- Transformers now runs llama.cpp quants
- Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
- Opus 5.5 imminent ⏳, Grok 4.7 🚀, MiMo v2.6 🤖
- Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-TritonThe compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new…
- How to Evaluate AI Agents From Tool Calls to Task CompletionWhen you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live…
- Improving synthesis prediction of small molecules at scale with RetroChimeraCustom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights…
- Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2Weather-sensitive industries increasingly have access to observations that offer an earlier, more local view of changing conditions. Energy…
- Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
- Advisory Group on Mathematics and Artificial IntelligenceOpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI…
- Higgsfield AI ships new video features in a day with GPT-6 AstraWith GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.
- Building standards for the next phase of AIOpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.