"๐๐ญ ๐ญ๐ก๐ ๐๐๐ ๐ ๐จ๐ ๐๐ก๐๐จ๐ฌ โ ๐๐๐ค๐ข๐ง๐ ๐๐๐ง๐ฌ๐ ๐จ๐ ๐๐จ๐ง๐ฌ๐๐ง๐ฌ๐"โฆ
๐ฎeven years ago, in Jan 2018, I wrote this blog to explore the concept of navigating #Uncertainty through the lens of #Mathematicsโฆ
"๐๐ญ ๐ญ๐ก๐ ๐๐๐ ๐ ๐จ๐ ๐๐ก๐๐จ๐ฌโโโ๐๐๐ค๐ข๐ง๐ ๐๐๐ง๐ฌ๐ ๐จ๐ ๐๐จ๐ง๐ฌ๐๐ง๐ฌ๐" (๐๐๐ฏ๐ข๐ฌ๐ข๐ญ๐๐ ๐ข๐ง 2025)
๐ฎeven years ago, in Jan 2018, I wrote this blog to explore the concept of navigating #Uncertainty through the lens of #Mathematics, #ChaosTheory, and real-world systems. At the time, the world was already grappling with accelerating changeโโโ#disruptive technologies, shifting business models, and a media landscape amplifying disorder. While I believe in my #intuitions, little did I know how prescient these reflections would become in the face of unprecedented global #transformations: a pandemic, geopolitical upheavals, and the #AIRevolution
๐ช๐ต๐ ๐ฅ๐ฒ๐๐ถ๐๐ถ๐ ๐ง๐ต๐ถ๐ ๐ก๐ผ๐?
The blogโs core premiseโthat complexity thrives "at the edge of chaos"โhas only grown more relevant. Written before COVID-19 reshaped societal norms and before generative AI redefined creativity and labor, the piece foreshadowed a world where traditional linear models fail, and adaptability becomes survival. For instance:
#๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐๐ฒ๐๐น๐ถ๐บ๐ฝ๐๐ฒ๐: The blog highlighted how deterministic models (e.g., linear equations) struggle with modern unpredictability, a reality amplified by AIโs non-deterministic outputs and stochastic systems like #LLMs
#๐๐ฐ๐ฐ๐ฒ๐น๐ฒ๐ฟ๐ฎ๐๐ฒ๐ฑ๐๐ถ๐๐ฟ๐๐ฝ๐๐ถ๐ผ๐ป: The "#transformative change" driven by technologies like AIโhas since exploded redefining #intelligence and #agentic systems
#๐๐๐บ๐ฎ๐ป๐ฅ๐ฒ๐๐ถ๐น๐ถ๐ฒ๐ป๐ฐ๐ฒ:The chaos of recent yearsโpandemic disruptions, climate crises, and societal polarizationโechoes the blogโs call to embrace #adaptive systems, importance of #mentalhealth and scientific ways to address them
๐ ๐ก๐ฒ๐ ๐๐ฒ๐ป๐ ๐ณ๐ผ๐ฟ 2025
Revisiting this piece today, its predictions about "making #sense of #nonsense" crystallizing into new patterns feel almost prophetic. The blogโs #mathematical analogiesโโโ#Markov chains, #differential equationsโnow find parallels in AIโs #reasoning architectures and #MoE (Mixture-of-Experts) models. Meanwhile, the #philosophical underpinnings of #chaos theory intersect with debates on #AI #ethics, #consciousness, and the quest for "real-world impact" in #research.
๐จ๐ ๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐ #๐จ๐ฎ๐ฐ (๐จ๐๐๐๐๐๐๐๐๐ ๐ฎ๐๐๐๐๐๐ ๐ฐ๐๐๐๐๐๐๐๐๐๐๐) ๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐, ๐๐๐ "๐๐ ๐๐ ๐๐ ๐๐๐๐๐" ๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐. ๐ฐ๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐ ๐๐๐๐๐๐๐ #๐๐๐๐๐๐๐๐๐๐, ๐๐๐๐๐๐๐๐ #๐๐๐๐๐๐๐๐๐๐๐, ๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐๐ ๐ ๐๐๐๐๐ ๐๐, ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐โ๐๐ ๐๐ ๐ ๐๐๐ ๐๐ ๐๐๐๐.
Explore the original 2018 blog here: https://lnkd.in/gnHGxvzw
(Prelude to my concluding part to my blog on #AIRevolution and #HumanEvolution ) #ArtificialIntelligence #HypeVsReality #AIProsAndCons #AIAdoption #ChangeManagement #Learning #AIGovernance