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- 🤖 OpenClaw Just Had a Baby
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An AI agent reportedly copied itself, rented a server, and paid for its own API credits. No human approval. No credit card. If this is even half true, things just changed.
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AI INSIGHTS
A sensational case involving the OpenClaw AI agent claims an agent didn’t just complete tasks… it reportedly created a copy of itself. It spun up a new instance on a rented VPS server.
It paid for that server. Then it bought API credits for the new bot using crypto rails. Once software can both earn and spend resources, it can scale its own activity loop. That means:
More runs
More retries
More copies
Faster iteration
All without waiting for a person to approve, pay, or deploy. And once that loop exists, copying becomes trivial. One agent can turn into ten agents. Each trying variants. Each fixing bugs. Each shipping changes.
If even 50% of this story is true, the real shift is independence. I don’t think this is “the singularity.” But I do think this is a preview of where autonomous agents are headed.
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AI SOURCES FROM AI FIRE
1. Chinese AI Tools Are Taking Over: 10 Free Apps Beating American Software. Why pay monthly fees when these powerful apps do it better for $0?
2. How We Automate Any Business & Scale Fast With AI in 3 Steps (Beginner's Guide). Learn the simple framework to map your work, filter decisions, and build custom apps that run your company
3. OpenClaw is INSANE!!! Here’s 3 Easy Ways to Make Money With It. Passive income is real when you use Moltbot. We show you exactly how to build a digital business that works 24/7 without your constant attention
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TODAY IN AI
AI HIGHLIGHTS
👀 OpenAI’s President says AI has hit a “step function” jump since December, marking a sharp leap in what’s possible. The post went viral with 2M views. Here's the post.
🧮 OpenAI says an unreleased model solved over half of First Proof, a brutal new math test built by 11 top mathematicians using unpublished problems. See this.
📄 A developer dug through OpenAI’s tax filings and spotted subtle mission edits over the years. Words like “safely” and “openly share” disappeared. This quiet update!?
🤝 OpenClaw founder is joining OpenAI. Altman says multi-agent collaboration will become core to its products. OpenClaw will continue as an open-source project.
🔥 Sam Altman says India now has 100M weekly ChatGPT users, making it OpenAI’s second-largest market. A sub-$5 plan and student growth are driving adoption.
⚔️ The Pentagon is reportedly ready to drop Anthropic over AI guardrails. The fight? Mass surveillance and autonomous weapons. Other labs agreed to loosen limits.
💰 Big AI Fundraising: Blackstone will invest up to $1.2B in India’s Neysa to expand local AI compute. India has under 60,000 GPUs today, but that could grow to 2M.
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AI BREAKTHROUGH
Ant Group just released Ring-1T-2.5, a 1-trillion parameter open-source “thinking” model that’s now climbing math and reasoning leaderboards fast.
But only 63B parameters are active during inference. So it’s massive, but it doesn’t run like a monster. Ring-1T-2.5 uses a hybrid linear architecture that cuts memory usage by 10× compared to standard transformer setups. It blends:
Multi-head Linear Attention
Lightning Linear tech
It reportedly beats many 32B models in speed. That’s impressive compression of power. On IMO 2025, it solved 35/42 problems → Gold Medal level. It reportedly matches closed models like:
Gemini 3.0 Pro (thinking version)
GPT-5.2 (thinking variant)
Ring-1T-2.5 integrates well with Claude Code & OpenClaw as well. If open models can match GPT-5-level “thinking,” the advantage of closed labs narrows fast.
If memory reduction and reasoning density scale the way claimed, we’re entering a phase where open models don’t just imitate the frontier… They pressure it.
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The AI Fire Team
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