Hash Rate - Ep. 156 - James Altucher Talks $TAO
Hash Rate - Ep 145 - TAO Subnets Templar (3), Basilica (39), Grail (81)
Hash Rate - Ep 143 - Gopher (Subnet 142)
RT @TargonCompute: Introducing Secure Targon Compute
Hash Rate - Ep 139 - Sundae Bar: Subnet 121
The most important thing is to expose the endpoints needed for sending the ARC-AGI problems — as for the solution, you can do whatever you want. 🫱🏻
There are no constraits on miner solutions. Eg. miner starter code uses an OpenAI key to solve the @arcprize (ARC-AGI 2) problems, and you can:
Big news! 🗞️ 🌊
RT @markjeffrey: Hash Rate - Ep 136: Hone ($TAO Subnet 5) Chasing AGI
Hash Rate - Ep 136 - Hone ($TAO Subnet 5) Chasing AGI
GM ☀️ Latest @arcprize results :
For ARC AGI 2, we are still tweaking the difficulty of transformations so that our benchmarks fit well with the public one too, for now we're at 28% w
For ARC AGI 1 (the 1st part in our pipeline) :
this is how validators will generate novel synthetic ARC AGI 2 - like data, for this we are currently running benchmarks with known best LLMs against
- then we take those ARC AGI 1 tasks, and apply multiple transformations on them to make them harder, exactly like in this screenshot