MIT released a devastating number.
95% of all corporate AI projects are failing.
Because nobody knows how to install it.
@mcuban says this is the biggest job opportunity since the personal computer.
Cuban built his first fortune doing one thing:
Walking into offices in the 1980s and showing people who had never touched a computer how to use one.
He says the exact same thing is happening right now with AI.
Except the gap is even bigger.
There are 33 million companies in the United States.
30 million of them are one person operations.
Millions more have under 500 employees.
No AI budget, team or strategy in place and they are completely in the dark.
MIT looked at generative AI inside big companies and the numbers are insane.
Most have AI initiatives and run pilots.
Almost all fail to deliver real business results.
Because nobody knows how to wire them into actual workflows.
Cuban’s advice to his own kids, ages 15, 19, and 21: Learn to implement AI,
Walk into a shoe store , law firm or a trucking company.
Show them exactly what AI does for their specific business.
That is the big opportunity now.
Iranian Rhapsody 🎹🇺🇸🇮🇱🇮🇷
Trump is on fire here. Political satire meets cinematic AI music.
Created with @replicate using their Prune AI, which makes generating audio2video so much easier.
xAI was reorganized a few days ago to improve speed of execution. As a company grows, especially as quickly as xAI, the structure must evolve just like any living organism.
This unfortunately required parting ways with some people. We wish them well in future endeavors.
We are hiring aggressively. Join xAI if the idea of mass drivers on the Moon appeals to you.
OpenClaw just dropped QMD plugin - this changes everything for context management!
Just updated to 2026.2.2. Here's why I'm excited.
The Problem:
My bot Chiti was sending entire chat history every time → 50K+ tokens → context overflow → crash.
The Solution:
QMD searches your local files (Markdown, Notion exports, Obsidian) and pulls only relevant 2-3 sentences into the prompt.
Why this matters:
- 60-97% token savings possible
- No more context overflow
- Super fast (runs locally)
- Private - nothing leaves your machine
My setup now:
- Primary: Kimi K2.5
- Heartbeat: Haiku
- Memory: QMD (local search)
- Vector DB: Qdrant (in progress)
This fixes my #4 todo from yesterday - "context management."
Previously: Chiti coordinating 5 agents = context exploding
Now: Chiti asks QMD "find old SEO notes" → gets only what's needed
Updating now. Will share results.
h/t @openclaw for shipping this 🙏
h/t @mej26vPIJx22495 for pushing me toward vector memory
h/t @ImNotTheWolf for QMD suggestion earlier