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Give an LLM agent a realistic multi-step task — split a bill, find a song, reconcile an order across nine simulated apps — and when it fails, it usually isn't for lack of knowledge. It mis-paginates an API, resolves the wrong person, or returns a value when none was asked for. The model knows the APIs; what it hasn't…
Hugging FacePublished Aug 11, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
Last year, Nano Banana brought Gemini's intelligence to image generation and editing. Since then, it’s helped millions of people restore old photos, design from sketches and visualize ideas in ways that weren’t possible before. From the start we built Gemini to be natively multimodal from the ground up, and now we’re…
Google DeepMindPublished May 18, 2026
Official source · Google DeepMind BlogVerified Aug 31, 2026
OlmoEarth Studio , our platform for building Earth observation models, now lets you compute and export embedding vectors —compact numerical representations of Earth-observation data produced by our open source OlmoEarth foundation models. The source code and model weights are publicly available alongside the research…
Hugging FacePublished Aug 13, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
Where a regular embedding model compresses a whole text into one vector, a multi-vector model keeps one vector per token and scores query against document with the MaxSim operator. That preserves token-level matching information that a single vector has to average away, which usually means stronger retrieval at the co…
Hugging FacePublished Aug 18, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
World foundation models offer a different path. Instead of manually authoring every object and physical interaction, they learn visual dynamics directly from synchronized video and robot kinematics. NVIDIA's Cosmos-H-Surgical-Simulator demonstrated this approach by generating future surgical video from an initial scen…
Hugging FacePublished Jul 27, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.
You have an agent that can already record a demonstration and push it to the Hugging Face Hub . Now you want to run that loop continuously: collect episodes through the day, train a policy on the growing dataset, deploy it, and pull the next batch back to improve it. Run that loop once and every piece works. Run it ev…
Hugging FacePublished Aug 14, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
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 doing the research experiments.
Hugging FacePublished Aug 13, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
We built a constraint-aware GPU allocator and benchmarked it against a FIFO scheduler across seven benchmark scenarios. On identical hardware, running identical workloads, GPU utilization rose by as much as 33 percentage points, and priority-weighted output rose in every one of them, by as much as 105%. Nothing about…
Hugging FacePublished Aug 18, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
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 every intermediate result is visible. The same graph is also a REST API and a one-command deploy to HF Mirror Spaces.
Hugging FacePublished Aug 25, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
Equipping an agent with agentic memory sounds simple: distill lessons from its past work, put them back in context, and more experience should mean better performance. It doesn't always work that way. When we scaled the evaluation to eight models — from a 30B dense model to frontier proprietary systems — one finding s…
Hugging FacePublished Aug 19, 2026
Cross-checked · Hugging Face BlogVerified Sep 9, 2026
Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.
OpenAIPublished Sep 16, 2026
Official source · OpenAI NewsVerified Sep 30, 2026