HuggingFace ships a multi-agent economic simulation on a 3B parameter model.

NVIDIA demonstrates cold-starting a 120B parameter model in under 5 seconds on Kubernetes.

Pre-registered experiment finds AI cited a fabricated author correctly within 6 days despite crawler blocks, raising questions about knowledge acquisition.

Exploration of using AI agents for test-driven development with a specify-encode-fulfill methodology.

OpenLumara is a hand-coded, token-efficient AI agent framework designed for local LLMs with a modular architecture.

A personal blog-style walkthrough of how LLMs work, criticized for poor structure and unclear audience.

Ollama adds support for several new models including Kimi-K2.6, GLM-5.1, and MiniMax.

AutoGPT repository listing with no new technical development highlighted.

NousResearch hermes-agent repository with minimal description and no body content.

First Opus-class model with 1M token context window (beta), adaptive thinking with effort levels, and context compaction for sustained agentic tasks. Agent teams feature enables parallel subtask execution.

Achieves Gemini 3 Pro-class reasoning at Flash-tier latency and cost. Outperforms 2.5 Pro while being 3x faster at less than 1/4 the cost of 3 Pro. 1M token context, 65K output tokens.

Native multimodal model trained on 15T tokens mixing visual and textual data from the start. Agent Swarm technology coordinates up to 100 specialized agents simultaneously, reducing execution time by 4.5x for complex workflows.

Flagship reasoning model with adaptive tool-use -- intelligently invokes retrieval and code interpreter on demand during inference. Advanced test-time scaling via RL.

A python module to repair invalid JSON from LLMs...

**Pixeltable is an AI data infrastructure platform that provides a declarative, incremental table-based interface for managing and processing multimodal data in AI/ML workflows, eliminating the need f...

**Pixeltable** is an open-source framework designed to simplify and unify the management of multimodal AI data workloads by replacing the typically fragmented multi-system architectures with a single ...

The search results do not contain direct information about "pixeltable," its key features, or its use cases in AI/ML.

A **datachain** is a specialized type of blockchain infrastructure designed specifically for efficient, secure, and scalable data storage and management. Unlike traditional blockchains, which primaril...

BentoML is an open-source Python framework designed to simplify the deployment and serving of machine learning models in production environments.[1] It bridges the gap between model development and pr...

I don't have information about dstack in the provided search results. The search results cover various components of AI tech stacks, including data layers, MLOps platforms, infrastructure, and model s...

A **datachain** is a blockchain specifically optimized for data storage, retrieval, and processing.[1] Unlike traditional blockchains designed primarily for transaction processing, datachains are engi...