Charly Wargnier

My ❤️ is open source • Tweet about AI agents, LLMs and Automation • Ex @Streamlit @Snowflake Maestro • DM for collabs 📩

[Charly Wargnier @DataChaz]

HOLY SH*T

now you can literally call your Hermes Agent using @ElevenLabs' ElevenAgents 🤯

Looks so smooth

[ElevenLabs Developers @ElevenLabsDevs]

https://t.co/xOm7pIDXAM

[Charly Wargnier @DataChaz]

Uber’s CEO watching his engineers write code after slashing the AI budget:

[Charly Wargnier @DataChaz]

HOLY SH*T

now you can literally call your Hermes Agent using @ElevenLabs' ElevenAgents 🤯

Looks so smooth

[Charly Wargnier @DataChaz]

🚨 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 👀 ↓

[Charly Wargnier @DataChaz]

@BitFuturist it s real man

I know these folks :)

[Charly Wargnier @DataChaz]

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 👇

[Subah Wadhwani @subahwadhwani]

https://t.co/QX28V4T36o

[Charly Wargnier @DataChaz]

@zamann23 I didn't know about that one 😅

[Charly Wargnier @DataChaz]

literally every Silicon Valley product comparison chart:

[Charly Wargnier @DataChaz]

@joachimwernerss Thanks 🫡

[Charly Wargnier @DataChaz]

Uber’s CEO watching his engineers write code after slashing the AI budget:

[Polymarket @Polymarket]

NEW: Uber is reportedly capping employee use of AI vibe-coding tools at $1,500 per month after blowing through its AI budget.

[Charly Wargnier @DataChaz]

@fcbmangl he is! :)

[Charly Wargnier @DataChaz]

@InvincibleEdge no idea.

Why?!

[Charly Wargnier @DataChaz]

literally every Silicon Valley product comparison chart:

[Charly Wargnier @DataChaz]

@larsencc Evergreen

[Charly Wargnier @DataChaz]

@aimlapi I was literally wondering the other day why Clippy hadn’t made a comeback yet.

brilliantly done, folks 👏

[Charly Wargnier @DataChaz]

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 👀↓

[AI/ML API @aimlapi]

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

[Charly Wargnier @DataChaz]

@FayezHassoun @MiniMax_AI received :)

[Charly Wargnier @DataChaz]

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.

[Charly Wargnier @DataChaz]

@Tech_girlll ask this guy

[Charly Wargnier @DataChaz]

@RXed_EU True! 🤣

[Charly Wargnier @DataChaz]

@TheSurgeDefi @MiniMax_AI I see!

Yes, I think it's really good :)

[Charly Wargnier @DataChaz]

@TheSurgeDefi @MiniMax_AI What's the TERRA demo?

[Charly Wargnier @DataChaz]

@weswinder @McDonalds this'd be the real flex

[Charly Wargnier @DataChaz]

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: