Repaint is an AI tool that allows you to rebuild your existing website effortlessly.

Rollout is the silent bottleneck in RL post-training. DAS fixes it with adaptive speculative decoding — up to 50% faster, zero degradation in reward quality.

DeepSeek released V4 with a 1M-token context window, optimized for long-running agentic workloads. Its hybrid attention mechanism (CSA and HCA) reduces KV cache to 2% of traditional GQA. Post-training additions include interleaved thinking across tool calls, a dedicated tool-call schema (|DSML|), and DSec sandbox for RL rollouts. The model achieves competitive agent benchmarks.

Weavable provides a persistent, live context layer for AI agents by connecting to business tools like HubSpot, Slack, Zendesk, etc. It reduces token usage by 90% and improves output accuracy by maintaining a continuously updated activity graph.

The author had early access to GPT-5.5 and finds it a significant step in AI progress, particularly in coding, image generation, and integrated applications. Despite improvements in models, apps, and tools, the 'jagged frontier' of AI ability persists, especially in long-form fiction. The article showcases GPT-5.5's ability to simulate evolving towns, generate near-PhD-level papers, and create role-playing games.

AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation. Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems. Over 10,000 NVIDIANs are already using GPT-5.5-powered Codex to achieve “mind-blowing” and “life-changing” results.

The U.S. tax system faces a structural imbalance: K‑1 volumes are rising, regulatory disclosures expanding, and the talent pool shrinking. This article explores how automation, data digitization, and workflow maturity can transform K‑1 processing from manual triage to straight‑through processing, enabling firms to handle growing workloads without overwhelming staff.

This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data.

This article explains how to build a fully functional AI agent that runs locally on your machine using small language models, with no internet connection or API costs. It covers the concepts of AI agents and SLMs, the advantages of local deployment, setting up Ollama and Python libraries, step-by-step agent construction, adding memory and tools, and discusses the limitations of SLMs.

Google's TPUs (Tensor Processing Units) are custom chips designed from the ground up over a decade ago to run AI models. The newest generation delivers 121 exaflops of compute power with double the bandwidth of previous generations. This article introduces a video explaining how TPUs work.

Enterprise AI governance still authorizes agents as if they were stable software artifacts. However, agents' behavior drifts over time due to context, memory, and interactions. The article argues for continuous behavioral attestation rather than one-time authorization, introducing behavioral identity metrics like decision-path consistency, confidence calibration, and tool-use patterns.

In agentic software, the most important question is not which model to use, but what the model can touch. Two primary interfaces have emerged: the command-line interface (CLI) and the Model Context Protocol (MCP), each representing different philosophies—CLI leveraging existing Unix processes, and MCP offering structured, discoverable tools.

OlmPool is a controlled suite of 26 models showing how small architecture choices can compound to make long-context extension much harder, even when training data and extension recipes are held constant.

OlmoEarth Studio now lets users export custom Earth-observation embeddings from our OlmoEarth foundation models and use them for tasks like similarity search, few-shot mapping, change detection, and unsupervised exploration.

Lingo.dev v1 is a localization engineering platform that lets teams create stateful translation APIs configured with glossaries, brand voice rules, per-locale model chains, and AI quality scoring. Integrate via API, CLI, CI/CD, or MCP. Research shows retrieval augmented localization reduces terminology errors by 16.6–44.6%.

This release introduces the built-in MCP Server, Extensible Tokenizers, Diversity Search (MMR), and Query Profiling as previews, along with Incremental Backups, Gemini audio support for multi2vec-google, and the new BlobHash property type.

This article details the architecture and practical insights for integrating Transformers.js in a Manifest V3 Chrome extension, featuring a background service worker hosting models, a side panel chat UI, and a content script for page interaction.

Waymo's safety record is strong, but most crashes are caused by human drivers. Waymo's own mistakes are often due to excessive caution, such as stopping in improper locations.

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.

Google Photos' Auto frame feature uses ML to interpret photos as 3D scenes and automatically adjust the camera angle to generate a new perspective. The two-stage method involves 3D point map estimation and generative inpainting, enhancing portraits by fixing perspective distortion.

AutoAdapt automates domain adaptation for LLMs in high-stakes settings, turning weeks of manual iteration into repeatable pipelines. It uses a configuration graph, agentic planner, and budget-aware optimization to select appropriate strategies (e.g., RAG, fine-tuning) and tune hyperparameters under real constraints.

Across climate, conservation, disaster monitoring and recycling, NVIDIA AI is enabling applications protecting the planet.

NVIDIA and Google Cloud expand their decade-long partnership at Google Cloud Next, launching A5X instances with Vera Rubin, confidential computing with Blackwell GPUs, Gemini integration with Nemotron models, and physical AI tools to accelerate production deployment.

This guide walks through training a Scikit-learn classifier, building a FastAPI inference server, testing it locally, and deploying it to FastAPI Cloud. It uses the breast cancer dataset and a RandomForest model.

The eighth generation of Google’s TPU includes two specialized chips that will power the future of AI.

A technical view into Anthropic's latest model. The article highlights the shift from stochastic sampling knobs to semantic controls and trained self-verification.

For the past 10 years, Ai2 has built open, real-time tools that help people protect wildlife, oceans, and ecosystems around the world.

Apple handed the next decade to a silicon engineer. Bezos hit $38B in five months. Brin came out of retirement to code. When the founders stop delegating AI, the stakes have passed the point of no return.

Contrario is an AI recruiting platform that combines expert recruiters with AI agents to handle 90% of hiring work via Slack, including sourcing, screening, coordination, and closing.

Superset 2.0 enables users to run hundreds of coding agents on any machine from anywhere, with a discussion link provided.