Guys. I told you about $DOT. No one listened. Big things still to come.

Heres the rundown.

All credit goes to https://x.com/altmasterroshi?s=21&t=sKMWngatJbmxwqAYexDy2A. One again.

DOT @usedotai just surpassed 1,000 holders which is great resistance flipped into support in my book

Now the road to 5k holders begins

I’ve been here for 8 years and I know how this shit works

Holders are a tall tale sign of momentum

What @stagedhappen is building is real, extremely useable, and valuable.

This is TINY compared to how big $DOT can really be

This is just the beginning of the fork in the road

Once 5k holders come, it’s an inevitable takeover

Time is ticking….

Have you been $DOT pilled yet? 🔴💊

0x23A2847d772803f9EFC64B4277b782b06296FE51

LATEST UPDATE FROM @usedotai

Dot now runs as a private MCP-native app inside Claude/ChatGPT. No other privacy-ai provider has achieved this.

The DotMCP was already popular, but we have just fully reimagined its architecture to increase its power.

Dot is a private AI app that lives inside your Claude/GPT. It is not a chatbot embed, or a prompt handoff, it is an fully private model surface you, or your agent can summon inside the mainstream providers you normally use.

The distinction that makes this so powerful: Whatever you ask Dot does not go through the host.

Simply type inside Dot’s sandbox, and our widget sends the request directly to Dot’s private inference edge. Claude’s model never reads the prompt, and it is not part of Claude’s context.

This is a fully private AI inference inside a fully public AI inference.

What we rebuilt:
→ custom model picker, no native dropdown
→ light + dark mode
→ full dot model lineup inside the widget
→ private image generation through the widget
→ MCP session tokens for widget-to-dot requests
→ hardened cross-origin chat edge
→ shared rate limits with the main app so the widget can’t bypass caps ( Beta phase )
→ provider/model ids normalized before they reach the UI
→ privacy-minimized frontier routes
→ GLM 5.2 private lane with 1M context

Our MCP is a separate inference surface with its own auth boundary, routing layer, model stack, image route, privacy receipts, rate limits, and