The Day after Christmas ๐ learning special. ๐ผ โ๐๐๐ ๐๐๐๐ฆ ๐๐ ๐ฆ๐๐ข โ๐๐ ๐ ๐๐ก๐๐โ๐๐ ๐ก๐๐ ๐ โ๐๐๐๐๐๐ฆ ๐๐๐ ๐๐๐ก ๐ ๐๐๐๐๐๐๐ก๐๐ ๐๐๐ ๐คโ๐๐๐ ๐๐๐ ๐ฆ๐๐ข ๐๐๐ก ๐ค๐๐ ๐ ๐ค๐๐๐ก๐๐๐ ๐งฅ
๐๐ญ๐จ๐๐ก๐๐ฌ๐ญ๐ข๐ ๐ฏ๐ฌ. ๐๐ซ๐๐ ๐ฆ๐๐ญ๐ข๐ ๐๐: ๐๐ก๐ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐๐ฅ๐จ๐๐ค๐ฌ ๐จ๐ ๐ญ๐ก๐ ๐๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐๐ง๐ญ๐๐ซ๐ฉ๐ซ๐ข๐ฌ๐
In AI, especially within agentic automation and multi-agent frameworks/multi-agent systems, there are two key concepts: stochastic and pragmatic approaches. Understanding these is just the beginning, but itโs a critical first step toward the future weโre all building towards.
๐น ๐๐ญ๐จ๐๐ก๐๐ฌ๐ญ๐ข๐ AI is all about creativity and exploration. It introduces randomness and probabilities, generating diverse, innovative outputs. Think of it like an artist whoโs full of ideas, unpredictable, and expansive.
๐น ๐๐ซ๐๐ ๐ฆ๐๐ญ๐ข๐ AI is the structured architect. It focuses on practical, reliable outcomes, ensuring alignment with clear goals. Itโs methodical, consistent, and driven by real-world needs.
So why does this matter for AI agents?
In the Autonomous Enterprise, or Enterprises that build in autonomy, we need both:
โข ๐๐ญ๐จ๐๐ก๐๐ฌ๐ญ๐ข๐ agents will explore new possibilities and find creative solutions to complex problems.
โข ๐๐ซ๐๐ ๐ฆ๐๐ญ๐ข๐ agents ensure those solutions are aligned, repeatable, and valuable for the business.
And hereโs where humans come in:
We define the goals, set the boundaries, and guide these agents. Human input, shape the vision stochastic agents innovate, pragmatic agents deliver, and together, they drive progress. But thatโs just the simple building block way to look at it, as it gets deeper ๐
This isnโt some far-off future itโs happening now. These are the foundational layers. Understanding them is the key to seeing where the future of the Autonomous Enterprise lies.
โ๐๐ญ๐จ๐๐ก๐๐ฌ๐ญ๐ข๐ ๐๐ฎ๐๐ฅ๐ฌ ๐ข๐ง๐ง๐จ๐ฏ๐๐ญ๐ข๐จ๐ง. ๐๐ซ๐๐ ๐ฆ๐๐ญ๐ข๐ ๐๐ง๐ฌ๐ฎ๐ซ๐๐ฌ ๐ข๐ฆ๐ฉ๐๐๐ญ. ๐๐จ๐ ๐๐ญ๐ก๐๐ซ, ๐ญ๐ก๐๐ฒโ๐ซ๐ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐, ๐จ๐ง๐ ๐ฅ๐๐ฒ๐๐ซ ๐๐ญ ๐ ๐ญ๐ข๐ฆ๐.โ -๐๐จ๐ฎ๐ ๐๐ก๐๐ง๐ง๐จ๐ง
Have a safe and fun holiday season one and all.
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