Thinking out loud here.. I've always assumed a #Bittensor subnet would struggle to replicate what $TIG is building But the more I think about it.. the more I'm not sure $TIG has its own Optimisable Proof of Work system.. where algorithms compete, benchmarkers test them, and then innovators get rewarded based on adoption $TAO obviously works differently.. with miners, validators and Yuma Consensus deciding how rewards get distributed But.. Given how flexible #Bittensor subnets can be.. whats actually stopping someone from building a subnet with its own version of $TIG's benchmarking, verification and reward system? Could someone essentially recreate something similar to OPoW inside #Bittensor? Someone like @Apex_SN1, for example.. Obviously.. just because something is technically possible doesn't mean it would economically work Still questions around incentives.. verification.. licensing.. how rewards are distributed.. and whether it would all work properly at scale And maybe $TIG does have some very real advantages from being built specifically for algorithmic discovery But.. does that mean theres something fundamental about $TIG's architecture that would make it incredibly difficult for a #Bittensor subnet to replicate? Or.. does it basically come down to who designs the better system and executes it properly? I can already see the replies coming.. lol I'm not trying to FUD anything here.. I'm obviously heavily interested in both $TAO and $TIG I just think its a genuinely interesting question worth exploring.. Because the more I think about this stuff.. The less convinced I am that its as simple as $TIG = algorithms and $TAO = intelligence My dumb monkey brain does not know the actual answer.. So happy to be educated 👍

$TIG open sourcing their mining pool code is actually a bigger deal than most people realise.. Anyone can now take that code and launch their own pools Essentially letting anyone build competing pools and create a business around it.. without anyone elses permission Results in more competition.. lowers the barrier to entry.. and a much wider network of contributors Like I said.. its a bigger deal than it looks Kudos to the @tigfoundation for making that possible 👏 $TIG

$TIG explained in 2 minutes

⚫️ Artificial Intelligence Changes Algorithm Discovery AI dramatically strengthens $TIG's thesis Historically.. algorithm discovery was almost entirely performed by dumb old humans That is now changing.. AI can increasingly write code.. read papers.. test ideas.. analyse results.. combine techniques.. debug implementations and sift through enormous amounts of solution data So.. what happens when algorithm discovery itself becomes automated? Imagine autonomous research systems running continuously.. - They generate algorithms.. - Those algorithms enter $TIG.. - Benchmarkers test them.. - Successful algorithms gain adoption.. - Rewards flow toward the systems producing useful improvements.. - Those rewards fund more compute.. - More compute allows more experiments.. - More experiments generate more potential breakthroughs.. We now have the beginnings of a self reinforcing machine economic loop for scientific discovery What's being described above is Prometheus, built by @tigfoundation $TIG has created an infrastructure where humans and AI agents compete together in an economic tournament for computational innovation Resulting in an infrastructure on which machine intelligence competes to produce useful IP That is something that has barely existed until now Full Article 👉 xitter.cf/DreadBong0/status/2090… $TIG

$TIG → Open market for incentivizing algorithmic breakthroughs

$TAO, $TIG and $TIBBIR ⚾️

🔵 @Dr_JohnFletcher on $TIG licensing "If I had to estimate when our first license would be, my hope is the first quarter of next year" "But there is a possibility that it might be later, say in Q2 or something" $TIG