๐๐ ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐๐๐ ๐๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป? ๐๐ป๐ฑ ๐ช๐ต๐ฎ๐ ๐๐ฏ๐ผ๐๐ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ?
๐๐ ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐๐๐ ๐๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป? ๐๐ป๐ฑ ๐ช๐ต๐ฎ๐ ๐๐ฏ๐ผ๐๐ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ?
I was listening to Machine Learning Street Talk (MLST) “The Real Reason Huge AI Models Actually Work” [1]. Many interesting take-aways, a lot to still be digested by me. But really this stuck to my mind.
In AI research, a fascinating concept has emerged: โ๐๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป ๐ถ๐ ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ.โ The idea is that intelligence can be measured by how well a system compresses informationโfinding patterns and structures to represent data in fewer bits. This ability to simplify and predict effectively showcases understanding and problem-solving skills.
On the other hand, Andy Jassy, CEO of AWS, famously said, โ๐ง๐ต๐ฒ๐ฟ๐ฒ ๐ถ๐ ๐ป๐ผ ๐ฐ๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐๐ถ๐ผ๐ป ๐ฎ๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ ๐ณ๐ผ๐ฟ ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ.โ This reminds us that while data and knowledge can be compressed into insights, real-world experience cannot be shortcut or simplified. It requires time, trial, and the complex nuances of practice.
๐ข๐ป ๐๐ต๐ฒ ๐ณ๐ถ๐ฟ๐๐ ๐ด๐น๐ฎ๐ป๐ฐ๐ฒ, ๐๐ต๐ถ๐ ๐๐ฒ๐ฒ๐บ๐ ๐๐ผ ๐ฏ๐ฒ ๐ฎ ๐ฐ๐ผ๐ป๐ณ๐น๐ถ๐ฐ๐ - ๐ถ๐๐ป’๐ ๐ถ๐?
These ideas sit intriguingly side by side: ย ย โขย ย Compression reflects formal intelligence in abstracted systems and models. ย ย โขย ย Experience points to the irreplaceable, uncompressible depth of real-world learning.
๐๐ผ๐ ๐ฑ๐ผ ๐๐ผ๐ ๐๐ฒ๐ฒ ๐๐ต๐ฒ๐๐ฒ ๐๐๐ผ ๐ฐ๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐ ๐ถ๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐ป๐ด ๐ถ๐ป ๐๐ผ๐๐ฟ ๐๐ผ๐ฟ๐ธ ๐ผ๐ฟ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด?ย ๐๐ฎ๐ป ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐๐๐ฒ๐น๐ณ ๐ฒ๐๐ฒ๐ฟ ๐ฏ๐ฒ ๐บ๐ฒ๐ฎ๐ป๐ถ๐ป๐ด๐ณ๐๐น๐น๐ ๐ฐ๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐๐ฒ๐ฑ ๐ฏ๐ ๐๐ ๐ผ๐ฟ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ฒ๐?ย ๐ข๐ฟ ๐ถ๐ ๐ถ๐ ๐ณ๐ผ๐ฟ๐ฒ๐๐ฒ๐ฟ ๐ฑ๐ถ๐๐๐ถ๐ป๐ฐ๐ ๐ณ๐ฟ๐ผ๐บ ๐ฝ๐๐ฟ๐ฒ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ?
๐ช๐ผ๐๐น๐ฑ ๐น๐ผ๐๐ฒ ๐๐ผ ๐ต๐ฒ๐ฎ๐ฟ ๐๐ผ๐๐ฟ ๐๐ต๐ผ๐๐ด๐ต๐๐!
#AI #Intelligence #Experience #Learning #MachineLearning #Leadership
[1] MLST “Meet the survivalist community Meet the survivalist community The Real Reason Huge AI Models Actually Work " - https://lnkd.in/evp2KKtr
Cross-posted to LinkedIn