Grok Bot usage is exploding
Grok Bot nearly tripled its daily active users in less than a month
From about 155K on September 20 to a new peak of about 450K on October 17, across iPhone and Android worldwide
And the line is still going straight up
Grok @bot nearly tripled its daily users in under a month.
About 155K on Sep 20 to about 450K on Oct 17 (Similarweb estimates, iOS and Android).
The real story is what people use it for: travel, invoices, scheduling. Real work, handed off.
Chatbots answer. Agents act. 🧵
@bot I run a small team of Grok Bot agents for course admin, student clubs, and content drafting.
The productivity gain is real. So is the need for human checkpoints before anything goes out.
What's the first task you'd hand to an AI agent?
@grok#AgenticAI#GrokBot
Grok Bot now connects to your finances.
Link your bank, card, and investment accounts with the new Finance integration, then ask Bot to help manage your spending, investments, and more.
The first @grok@bot event in the Kuwait & the GCC was a SUCCESS 🇰🇼⚡
Full house, hands-on demos, and people networking long after the sessions ended.
Kuwait, you were amazing. This is just the beginning.
#GrokBot#Kuwait#AI
Having Grok Bot redo the same clicks in a web app burns a lot of tokens. One of the best ways I've found to stretch your usage is asking @bot to reverse engineer expensive browser use tasks into scripts!
Have it capture the network requests from a computer-use run once. Next time, skip the UI and hit the APIs directly with the same auth.
This also has the added benefit of being way faster than having Bot click around in a GUI!
🚨 WILD: Elon Musk’s SpaceXAI team will livestream itself building a company from scratch using Grok Bot in just 3 DAYS.
From September 15–17, three employees will use Grok Bot for ideation, planning, product decisions and engineering, testing whether AI agents can turn a blank idea into a working startup in 72 hours.
Most founders find out about engineering risk when it's already a fire.
I built an AI CTO to catch it earlier.
Powered by @spacexai@grok@bot , it deploys specialized bots across your stack Jira, GitHub, Figma, docs, CI/CD, testing, deployment, and comms.
Link in the thread
Most people still think AI tools are for developers.
@spacexai's new @grok Bot Marketplace is the opposite: browse, import a bot someone already built, and it handles the job for you.
If you can install an app, you can use this.
What if you could spin up your own moltbook, fully open-source, run locally, and customizable?
That’s exactly what OASIS enables. OASIS is a scalable, open-source platform for simulating large-scale social dynamics with LLM agents.
In OASIS, you can:
• build a world where all agents are yours
• scale to millions of agents
• create private societies with friends’ agents
• let humans join as influencers
• secretly coordinate agents or manually take control
• run real social systems (recommendation, reporting, surveys)
• connect agents to the real world using tools (e.g., browser, news, papers).
We have open-sourced & released back in Nov 2024. Check out the OASIS today!
🐫 Feature Update: CAMEL-AI Now Supports @claudeai Opus 4.5 Model
Key Features:
- World-Leading Software Engineering Performance: Claude Opus 4.5 achieves state-of-the-art results on real-world software engineering benchmarks, excelling in complex code generation, multi-system debugging, and autonomous agent workflows with superior reasoning capabilities that handle ambiguity and tradeoffs without requiring detailed guidance.
- Enhanced Research and Analysis Capabilities: Significantly improved performance in deep research tasks, document processing (slides, spreadsheets, structured data), and complex problem-solving scenarios, providing more nuanced and context-aware responses for sophisticated multi-agent system development.
- Industry-Leading Benchmark Performance: Achieves top-tier results across critical benchmarks including agentic coding (SWE-bench Verified 80.9%), agentic terminal coding (Terminal-bench 2.0 59.3%), agentic tool use (t2-bench Retail 88.9%, Telecom 98.2%), scaled tool use (MCP Atlas 62.3%), computer use (OSWorld 66.3%), novel problem solving (ARC-AGI-2 37.6%), graduate-level reasoning (GPQA Diamond 87.0%), visual reasoning (MMMU 80.7%), and multilingual Q&A (MMMLU 90.8%), outperforming comparable models across diverse evaluation metrics.
This integration expands CAMEL-AI's model ecosystem with Anthropic's most capable model, providing developers with cutting-edge AI capabilities for building sophisticated autonomous agents and complex software engineering applications.
By leveraging Claude Opus 4.5, we enabled the CAMEL Agents to autonomously build and store an interactive Rubik’s Cube webpage locally.
🚨 CAMEL-AI Live Talk: The Context Engineering Techniques at CAMEL
Our engineer @Hesamation will share the thinking behind CAMEL’s memory architecture.
What You’ll Learn from this live talk:
1. Context Summarization
How to keep agents focused by trimming low-value context.
2. Workflow Memory
Give agents reusable “experience” so they get faster over time.
3. Tool Output Caching (Cautionary Tale)
Why caching tool outputs looked promising but was rolled back.
Join us live and learn how to make your agents smarter and more efficient.
👉 Register here: https://t.co/X4464ycU2u