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.
AI News
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
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
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
Replit expands access to software creation with GPT-5.6 Luna
Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
How Much Memory Does Your Agent Actually Need?
How Much Memory Does Your Agent Actually Need? Equipping an agent with agentic memory sounds simple: distill lessons from its past work, put them back in context, and more experience should mean bette
Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers Where a regular embedding model compresses a whole text into one vector, a multi-vector model keeps one vector per token and
Same Cluster, 33 Points More Utilization: What Changed Was the Order
Same Cluster, 33 Points More Utilization: What Changed Was the Order We built a constraint-aware GPU allocator and benchmarked it against a FIFO scheduler across seven benchmark scenarios. On identica
State of Open Models: Summer 2026 Observations
State of Open Models: Summer 2026 Observations Models and datasets on HF hub are growing on a daily basis. Public model repositories grew from 2.43 to 2.96 million over the period, datasets from 711,0
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets You have an agent that can already record a demonstration and push it to the Hugging Face Hub .
Introducing Gemini 3.7 Flash
Our most intelligent workhorse model yet for coding and agents. Senior Director, Product Management, on behalf of the Gemini team Your browser does not support the audio element. This content is gener
What We Learned by Reproducing 2,200 papers from ICML
What We Learned by Reproducing 2,200 papers from ICML In this post, we're sharing what we learned from running this hackathon, and what it suggests about the role humans will play when agents are doin
OpenAI appoints Dali Rajic as Chief Revenue Officer
OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full value of AI.
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