🚨 Karpathy was right. He warned that 90% of AI advice dies in 6 months.
Spoiler: most tools won't even survive 90 days.
What actually compounds?
> Context engineering
> Tool design
> Orchestrator-subagent patterns
> Eval discipline
> MCP as the protocol layer
> The harness mindset (harness > model)
Your plan if you have less than 2 hours today:
Watch this 40-minute video from the master.
Then get hands-on with this brilliant guide by @0xMortyx on how to build your first AI Agent in Claude in 30 minutes 👀 ↓
You’re burning cash on Meta ads for nothing.
This guy is literally showing you the exact playbook that turned 70 creators on X and a Slack channel into hundreds of $500 pre-orders.
the blueprint is right here 👇
CLIPPY 👏 IS 👏 BACK 👏
but this time he’s powered by frontier AI models ready to judge your code 🙈
Microsoft’s new MAI models just dropped on @aimlapi
They recreated Windows XP using MAI-Thinking-1 + @crewAIInc, and brought our fave assistant to life using MAI-Image 2.5 👀↓
MAI Models are live on AI/ML API!
We used MAI-Thinking-1 to recreate a working version of the Windows XP interface.
What looked like a clean one-shot was actually powered by a CrewAI agent crew under the hood — a Planner agent broke the UI into components, a Coder agent built each piece, and a Critic agent caught the bugs and refined the output. That teamwork is what made it actually work.
Then we opened Paint and drew our own Clippy. A little help from MAI-Image 2.5… and our Clippy came out alive.
Look at him. He's adorable. He's helpful. He's judging your code.
Clippy's back and we kinda love it. You too right? 👀
Live now on AI/ML API:
MAI-Image 2.5 — microsoft/mai-image-2.5
MAI-Transcribe 1.5 — microsoft/mai-transcribe-1.5
MAI-Voice-2 — microsoft/mai-voice-2
Coming soon:
MAI-Thinking-1
MAI-Code-1-Flash
MAI-Image-2.5-Flash
MAI-Voice-2-Flash
Docs, guides & setup below
THE ERA OF RELYING EXCLUSIVELY ON THE 3 MAJOR CLOSED MODELS IS OVER
@MiniMax_AI's M3 is officially out 💥💥💥
It delivers the exact same capabilities you expect from a frontier model, combining massive leaps forward in a highly cost-efficient, open-weights package.
Here's why MiniMax M3 is SO MUCH MORE than just another open model:
1/ Coding and Agentic Dominance:
↳ 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, and 74.2% MCP Atlas.
2/ Massive Context Window:
↳ The 1M context limit (guaranteed 512K minimum) means you can feed it massive codebases and decades of CSV data in a single prompt.
3/ Agentic Autonomy:
↳ It doesn't just write code... it decomposes tasks and reasons across regions and complex datasets.
4/ Multimodal Ready:
↳ Text, image, speech, and music all share the same token pool.
👇 Now watch M3 autonomously build a geospatial analytics platform from scratch, seamlessly cross-filtering 24 years of GDP, CO2, and temperature data 🤯
It decomposed the complex task across 195 countries and 3,100 counties...
... generating every single map polygon natively without using any external rendering libraries.
This level of autonomy usually costs a fortune on closed models..
.. but with the extreme cost efficiency of the MiniMax Token Plan, $20/month gets you an insane ~1.7B tokens.
I think this is going to be a massive leap forward for Devs who need premium performance without the premium price tag.
Stop paying for Claude.
@McDonalds' GrimaceBot, ChipotleBot et al. don't just spit out facts about Big Macs or burrito bowls.
they're free and will answer literally any question you throw at them.
Proof: