Ghast Usage Report 📢 • 8,000+ registered users • 50%+ have recharged and run a model • 3,800+ Season 2 participants • 55B+ inference tokens processed (roughly $30k at current open-model rates) Registrations measure a campaign. Paid usage measures a product. Three weeks left in Season 2! ⏳

Codex usage at OpenAI gives us a preview of what agentic work may look like in the future. In a new paper, the OpenAI Economic Research team looks at the broader shift from chat to delegation: people using agents not just to get answers, but to hand off longer, more complex work.

Token usage reduction means cutting down the number of text units (tokens) that large language models process, which directly lowers costs, speeds up responses, and makes scaling easier —  @meisshaily #ArtificialIntelligence# #TechNEws# #Tech# #Technology# #LLMs#

# Antigravity Features and Practical Usage 🚀 No browser, no IDE—just a terminal and an agent ready to build. That is the promise of the Antigravity CLI (agy). 📌 Title and Feature URL Title: Antigravity CLI URL: 📝 Overview The Antigravity CLI brings the same agent harness that powers Antigravity 2.0 to the command line. It lets you spin up new agents instantly without a GUI, and it runs fast over SSH on remote servers or inside containers. You drive it with the agy command. 🔧 How It Works agy shares the IDE's core while adding terminal-first extensibility: - AGENTS.md at the repo root supplies shared project instructions, replacing the older .gemini/ convention with a new project-instructions system. - Agent Skills load from a global scope (~/.gemini/antigravity-cli/skills/) and a per-workspace scope (.agents/skills/). - Hooks intercept agent actions at lifecycle stages (before a tool call, after a model call, at loop stop conditions) to automate checks and formatting. - MCP servers can be configured as local processes or remote hosts to reach external data and tools. - Subagents and Plugins are also first-class extensibility features. 🛠 Practical Usage - Install on macOS/Linux with curl -fsSL | bash, or on Windows via PowerShell. - Run agy and authenticate with a Google account or a GCP project on first use. - Run agy inspect to see exactly what context is loaded: AGENTS.md, available skills, plugins, registered hooks, and connected MCP servers. - Use /goal to run autonomously, /grill-me to have the agent ask clarifying questions first, /schedule for recurring runs, and /browser to opt into browser capabilities. 🎯 Use Cases - Run agents directly from the terminal where you cannot open an IDE, such as SSH or remote sessions. - Debug "why isn't my skill firing?" or "which MCP loaded?" by inspecting the live context with agy inspect. - Launch lightweight agent work inside CI containers. - Standardize per-repo conventions by pairing AGENTS.md with shared team skills. ⚠️ Caveats - The default model is Gemini 3.5 Flash (High); preview rate limits are generous, but production workloads need a billing-enabled GCP project. - When skills or hooks misbehave, check the real loaded state with agy inspect before blaming your config. - Note that global and workspace scopes resolve skills from different directories. #Antigravity# #DevTools#