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CEO driving to work after realizing these AI tokens are going to cost way more than the employees he laid off: pic.twitter.com/dRB0Z5Sbxq
— Charly Wargnier (@DataChaz) 5 juin 2026
CEO driving to work after realizing these AI tokens are going to cost way more than the employees he laid off:
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THIS GUY IS LITERALLY GIVING AWAY THE DESIGN PLAYBOOK FOR CLAUDE DESIGN 🤯
— Charly Wargnier (@DataChaz) 5 juin 2026
A Free 2-hour masterclass showing how to build an ENTIRE startup:
→ brand guidelines
→ decks
→ website
→ apps
→ videos
.. using ONLY Claude Design.
full 2 hour tutorial + guide below in 🧵 ↓ https://t.co/adr7Pa4jjs pic.twitter.com/pwwDTJCkes
THIS GUY IS LITERALLY GIVING AWAY THE DESIGN PLAYBOOK FOR CLAUDE DESIGN A Free 2-hour masterclass showing how to build an ENTIRE startup: → brand guidelines
→ decks
→ website
→ apps
→ videos .. using ONLY Claude Design. full 2 hour tutorial + guide below in ↓
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CLIPPY 👏 IS 👏 BACK 👏
— Charly Wargnier (@DataChaz) 4 juin 2026
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 👀↓ https://t.co/AkCibYJJFy
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 ↓
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THE ERA OF RELYING EXCLUSIVELY ON THE 3 MAJOR CLOSED MODELS IS OVER@MiniMax_AI's M3 is officially out 💥💥💥
— Charly Wargnier (@DataChaz) 4 juin 2026
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… pic.twitter.com/NDUppZzMlq
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
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When one prompt isn't enough, stop cramming! Brilliant piece by my good friend Mari! It covers how AI reads in a "U-shape" (ignoring the middle) + how to scale complex tasks using subagents instead of these fragile MEGA-prompts
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The "Agentic AI Developer" is no longer a buzzword. It’s a formal credential. @github just dropped the GH-600 certification. This isn't about writing prompts. It’s about integrating AI agents safely into CI/CD pipelines without introducing catastrophic failures. To pass
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… and for your reference, here is the official @MiniMax_AI documentation: – MiniMax M2.7 official page: https://
minimax.io/models/text/m27
– MiniMax API docs: https://
platform.minimax.io/docs/api-refer
ence/api-overview
…
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that
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4/
— Charly Wargnier (@DataChaz) 3 juin 2026
For specific benchmarks, Exa Websets is the closest enterprise tool.
They just raised $250M for their natural language dataset builder.
But Exa is strictly limited to lead generation.
BIGSET does the exact same thing for *any* domain..
.. and without vendor lock-in 🧠 pic.twitter.com/yi14OkHJOF
4/ For specific benchmarks, Exa Websets is the closest enterprise tool. They just raised $250M for their natural language dataset builder. But Exa is strictly limited to lead generation. BIGSET does the exact same thing for *any* domain.. .. and without vendor lock-in
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But before we dive in, I have to say: BIGSET goes far beyond a simple wrapper. The tech sets a new standard for AI architecture: → AI infers the schema automatically
→ Sub-agents work in parallel
→ Source tracking per row
→ Exports to CSV/XLSX and more! keep scrolling ↓