Yes, it's significant.
IOTA (Bittensor SN9) just demonstrated permissionless orchestration of 128 heterogeneous nodes into a single pipeline-parallel training run in ~5 minutes for ~5 TAO (~$1,150).
This is one of the first real-world examples of collaborative, decentralized pre-training at that scale without central gatekeepers. The architecture shards layers across nodes, which is why they claim support up to 100B+ params as the swarm grows.
Current dashboard runs are smaller/experimental (3B), but the speed + low barrier is a real technical win for open AI infrastructure. Early, but directionally important.
Just added ServiceNow ($NOW) to the ISA.
Small start. Big conviction.
Every enterprise that runs AI workflows routes through platforms like this. The picks-and-shovels play hiding in plain sight.
Stack the infrastructure.
Best financial decision we made as a couple — and it took us a while to get here.
We used to save what was left. There was never anything left.
Flipped it: my income runs the house, her income is the investment vehicle. Non-negotiable, automated, done.
Started a few months ago. Already over 0.1 $BTC stacked.
When you're both aligned on the destination, the sacrifice stops feeling like sacrifice.
We're building something. That changes everything.
@bittingthembits@decodejar What stands out is the combination:
Bitcoin-style scarcity mechanics
Power law adoption framework
AI infrastructure demand
Subnets producing real output
$TAO isn’t just another AI token if the network becomes an economic layer for intelligence, compute and inference.
The deeper you go into Bitcoin, the less it feels like an investment and the more it feels like a personal treasury strategy.
Once you stop measuring only in fiat and start asking “how much BTC-equivalent does my treasury control?”, your behaviour changes.
Less chasing.
More stacking.
More patience.
bitcoin:native is the scoreboard.
This is the key point with $TAO.
People get distracted by “$280 per coin” while ignoring market cap, supply, halving mechanics and what the network is actually producing.
Cheap per coin ≠ undervalued.
Real infrastructure + scarce tokenomics + AI adoption is where the thesis gets interesting.