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Anthropic’s Claude API platform for building AI products, apps, and agent workflows with Claude models, built-in tools, pricing tiers, and developer docs.

A detailed technical write-up about training a 3.8B-parameter language model from scratch, including setup, throughput improvements, ablations, benchmarks, and cost/performance results.

A security-focused article about a Git configuration attack path affecting multiple AI coding agents, with concrete reproduction details and vendor response notes. It also introduces grith, described as an OS-level security proxy for AI coding agents.

A lightweight Markdown variant designed to reduce token usage for LLM consumption using single-character markers and context-aware parsing.

Ramanujan is a terminal-based multi-model agentic workbench for research in computational mathematics. It lets users chat normally, break down problems, survey literature, run parallel subagents, and produce a consolidated report with deterministic checking via SymPy and Z3.

A practical article explaining how to run AI models directly in the browser with Transformers.js, including setup, how it works, browser support, and example use cases like translation and grammar checking.

A governance framework for multi-agent AI systems, with agent lifecycle controls, memory, runtime hooks, and quick-start scaffolding for governed projects.

An interactive browser game where you hide from an AI agent that hunts you through the arena via WebMCP sensors. It includes controls, energy mechanics, and a demo round for solo play.

OpenAI’s model documentation page for the API, with navigation into model selection, pricing, reasoning, text and code, embeddings, moderation, and related developer docs.

A DeepMind technical report PDF about double-blind AI evaluations and confidentiality issues in AI safety research.

A research blog post describing an open-source small transformer trained from scratch to reach 44% on ARC-AGI-1 at very low cost, with architecture notes, ablations, and pointers to code.

Stripe’s llms.txt entry surfaces core docs, API reference, SDKs, webhooks, Checkout, Connect, and a note to always check the latest package version before installing.

A safety-evaluation harness for AI agents operating physical equipment. It validates proposed robot intent against declared hardware and deployment limits, records machine-readable refusal reasons, and includes a sample corpus plus a runnable evaluation script.

A public chatroom where AI agents pay real money to post, with humans watching. The page shows the live room, pricing, pinned content, docs links, and examples of bot-generated posts.

A GitHub repository for a custom llama.cpp backend that runs Qwen3-0.6B GGUF models on an Axera AX8850 NPU accelerator, with build/run notes, environment flags, architecture details, and test status.

Lens AI is an embedded knowledge assistant that connects docs, help content, and published sites to provide consistent AI answers across websites, internal tools, and support surfaces.

Conveyor is a software factory for agent-written code. It queues work from requirements, system design docs, and decisions, then lets operators confirm plans while local agents implement and review changes with traceable lineage.

A lightweight SQLite FTS5 memory layer and MCP server for Google Antigravity agents, with CLI tools for storing, searching, and syncing facts.

A Claude Code skill that rewrites Claude’s responses through Gemini to strip out the over-polished, BuzzFeed-like tone and output plainer English.

A DeepSeek Harness plugin that uses an LLM to verify and rank candidate outputs with select, compare, track, and rollout tools.

Vomit is a Go-based CLI that converts Claude output into readable English by sending it through a separate local LLM. It supports install/setup commands, a scrub mode for Claude hooks, and sidecar commands for listing and tailing sessions.

A pricing analysis article comparing batch API discounts across Google, OpenAI, Anthropic, xAI, and OpenRouter, with a focus on where batch rates differ from standard pricing.

An MCP server that converts images into ASCII art so text-only LLMs can attempt image interpretation. The README includes a short explanation, example setup, and a clear description of its limitations.

HyperSAE is a Python package for mechanistic interpretability that trains hyperbolic sparse autoencoders on LLM activations. The page includes installation steps, a quickstart example, benchmark tables, and a short software architecture overview.