Google's former CEO just said what everyone in AI already knows
Building wealth is getting easier if you actually learn the tools
Not by scrolling AI threads
By understanding agents, Codex Code, prompts, memory, skills, MCP, and routines
Save this before it disappears from your feed
Everything below is free:
ChatGPT basics
https://t.co/p1ZEv4vG4f
OpenAI Academy
https://t.co/5AVN9CgCZq
Prompt engineering
https://t.co/gFV0OAXnQo
GPT-5.5 prompting guide
https://t.co/TJOxZ77Y6C
OpenAI API docs
https://t.co/24OlDTxEcA
Responses API
https://t.co/DLnWfUZEUS
Agents SDK
https://t.co/irt7DTJ745
Agents SDK quickstart
https://t.co/Mm2kgeMs39
Tools + function calling
https://t.co/A40Dege36x
Structured outputs
https://t.co/Jawb4njrJa
Conversation state
https://t.co/YkbSXmUk3A
ChatGPT memory
https://t.co/ojhvlLbVWp
ChatGPT projects
https://t.co/Svo7ATFTGc
Custom GPTs
https://t.co/chrd6IBz8L
Tasks in ChatGPT
https://t.co/pIEnCC5K8F
Codex overview
https://t.co/CVPKvEz9MY
Codex quickstart
https://t.co/sKNEmSMCXF
Codex CLI
https://t.co/kUySSiEBL5
Codex GitHub repo
https://t.co/FoiGgP5ash
Codex best practices
https://t.co/E1PtLvDDaj
AGENTS.md
https://t.co/eaAJkQDp4x
Codex skills
https://t.co/OsrLujQnkX
Codex MCP
https://t.co/uHCuY9Ram7
Codex subagents
https://t.co/QboZoCEzHT
ChatGPT Apps SDK
https://t.co/keDQV4wPUp
Apps SDK quickstart
https://t.co/OYKfU6EXaW
ChatGPT developer mode + MCP
https://t.co/iUE04OldHB
OpenAI Cookbook
https://t.co/LxteqEFzWZ
All of this costs $0
Most people will keep asking AI one question at a time
Save this and start learning the stack
This is what it looks like when physics, software, and steel
agree on the same answer.
This breakdown shows how Starship manages its 33 engines during landing, using only a subset at touchdown before being caught by the chopsticks.
A 10B Chinese model beats models 20x its size.
And it runs on your laptop.
Step 3 VL10B uses parallel reasoning to think like 16 experts at once.
→ Beats 200B parameter models
→ Scores 92.2% on multimodal benchmarks
→ Runs 16 reasoning paths simultaneously
→ Open source on Hugging Face
→ Works offline on your hardware
OCR. GUI understanding. STEM problems. All covered.
Completely free to download.
Want the technical breakdown? DM me.
How to access Guided Learning
→ Open Google Gemini (web)
→ Start a new conversation
→ Select “Guided learning” from the mode list
→ Ask a question or upload a document to study
That’s it. No setup. No plugins.
A full MIT course on visual autonomous navigation.
If you work on robotics, drones, or self-driving systems, this one is worth bookmarking‼️
MIT’s Visual Navigation for Autonomous Vehicles course covers the full perception-to-control stack, not just isolated algorithms.
What it focuses on:
• 2D and 3D vision for navigation
• Visual and visual-inertial odometry for state estimation
• Place recognition and SLAM for localization and mapping
• Trajectory optimization for motion planning
• Learning-based perception in geometric settings
All material is available publicly, including slides and notes.
📍https://t.co/HxdJKYIgsf
If you know other solid resources on vision-based autonomy, feel free to share them.
—-
Weekly robotics and AI insights.
Subscribe free: https://t.co/dsa6wcvq6n
You don't need to know how to code to build apps anymore.
Andrew Ng's new course shows how to turn an idea into a working web app simply by describing what you want to AI. You'll build something real in under 30 minutes.
"Build with Andrew" is our most beginner-friendly course yet. If you know someone who has ideas but thinks building is too complicated—friends, parents, coworkers—please share this with them.
Start building today: https://t.co/dDopDuSnIx
🚨 My 2026 AI predictions just dropped. And this is a must-read.
Not only where this AI hype is all headed - but what to actually do about it.
Brief summary of the big themes I'm watching:
→ Context Engineering and Memory. The race to help AI remember you, your work, and your preferences to better intuit your intent.
→ Autonomy and Agency. AI that takes action everywhere for all industries. More Claude Code, more proactive AI, more AI as a teammate.
→ Economic Value. We're moving from "Is AI smart?" to "Is AI valuable?" The benchmarks are shifting from academic to economic and so is the divide between AI superusers and surface users.
I've laid out 10 predictions, 10 hot takes (including why Gen Z will get hit hardest by AI job displacement, why data center backlash goes mainstream, and my bet on the 1-person $1B company), plus 5 actions to take today.
And yes. There's a prompt you can steal to pressure-test your 2026 AI strategy against these predictions.
🔮 Read my full 2026 predictions → https://t.co/KNJIqwd50f