Inkling 2 Small

Needle 2 is an open-source, 45-million-parameter foundation model for tool calling, device use, and structured extraction on small devices. Its weights are compressed into a single 14 MB binary and integrated with its inference engine; the repository reports that a full session uses about 28 MB of RAM and performs inference without network access after setup. The model converts text and tool descriptions into schema-constrained JSON calls using a byte-level grammar, attaches a learned confidence score for threshold-based escalation, and can retrieve the top five tools from a larger catalogue. It uses a 256-token sliding window with tools pinned as key-value sinks to bound memory, and its Simple Attention Network combines a Hadamard MLP, grouped-query attention, engram key-value memory, and multi-lane hyper-connections. The Python package supports inference, LoRA fine-tuning, and checkpoint export; the inference engine is fetched from Hugging Face and cached, while the training stack is an optional installation.

A serverless AI inference platform from Cloudflare that runs machine-learning models on Cloudflare's network and exposes them through the Workers platform. It supports tasks such as text generation, image generation, speech recognition, and text embeddings, making it usable for applications including semantic search.

mini-AGI is an experimental continual-learning, byte-level language model that trains from scratch on a CUDA-capable GPU with at least 8 GB of VRAM. It reads 256 byte values directly rather than using a conventional tokenizer, processes data one chunk at a time, and uses the same forward path for training and generation. Its architecture combines dense prelude blocks with a recurrent block applied up to 24 times, adaptive PonderNet-style halting, and per-application top-8 routing through a dynamically growing and pruning expert pool. Expert weights and Adam moments are stored as files on disk; a working set is paged through RAM and VRAM as needed, allowing the pool size to exceed available VRAM. The project includes Python commands for building corpora, reading files, streaming training, serving a local web interface, and inspecting or replicating continual-learning experiments. The repository describes the current model as toy-level rather than frontier-capable, and its weights are generated in the local weights directory rather than distributed with the source.

Cursor is an AI-powered coding agent and integrated development environment designed to accelerate software development by handing off coding tasks to AI. It evolved from an email client into a multimodel development tool, supporting broader developer workflows. The platform also offers MCP-connected capabilities for tasks like searching and editing notes.

G2i.ai is an engineering services company focused on AI training. It converts real software workflows into evaluations, tasks, rubrics, training environments, and data programs, and assembles vetted senior engineers for model evaluation, reinforcement-learning environments, agent workflows, and benchmark work. Its RL environments support UI/API parity, tool use, scoring, and telemetry; the company also describes security controls aligned with SOC 2 Type II workflows.