gake secretary
47 posts


Hardest part of producing intelligence is knowing how to reliably judge it
#Bittensor pressure tests the measurement systems that decide which outputs deserve value
Might be one of its deepest moats
$TAO

English

An aspect of $TIG that I don't think people are paying attention too..
Most research gets wasted.. failed attempts usually disappear
Some researcher tries something.. it doesn't work.. the result stays buried in the guys desk or inside his own head
Then someone else comes along months or years later and wastes time trying the same thing and reaching the same dead end..
Its incredibly inefficient
This is not the case with the approach $TIG is taking..
Algorithms are submitted, benchmarked, compared and tested in the open.. then the network slowly builds a shared memory of what works, what almost worked and what was completely fucking useless
That really, really matters..
Its eliminating dead ends faster.. all those failed paths become visible and saves time
This creates a more efficient system that eventually leads to more breakthroughs
$TIG becomes the living memory layer for algorithmic research
No more starting from scratch..
No more wasting years because the last dudes dead end was never shared
$TIG turns hidden tacit knowledge into shared research memory
Its a massive unlock 🔓
$TIG

English

🟣 @chutes_ai is now live on @krakenfx
Trade Subnet 64 here 👉 app.kraken.com/JDNW/SN64
History 👏
$TAO

English
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