With the USDC meta why aren’t we sending Asteroid?
Sending all fees to @rebeccaperrotto
She claimed the bags coin i’m sure she will claim this one to
This is giga and will end all the pvp sending Asteroid to multibillions on USDC
Theres people larping with a fake ansem wallet by sending him fees of hobbes
Has you can see on this tweet ansem RT’ed this wallet is the only confirmed ansem’s wallet
4mwxxeq98uyaqmBfeMLZWvHyV55sFbWUacsgEsu62VR1
I’m launching Hobbes and sending him all the fees
Theres people larping with a fake ansem wallet by sending him fees of hobbes
Has you can see on this tweet ansem RT’ed this wallet is the only confirmed ansem’s wallet
4mwxxeq98uyaqmBfeMLZWvHyV55sFbWUacsgEsu62VR1
I’m launching Hobbes and sending him all the fees
Theres people larping with a fake ansem wallet by sending him fees of hobbes
Has you can see on this tweet ansem RT’ed this wallet is the only confirmed ansem’s wallet
4mwxxeq98uyaqmBfeMLZWvHyV55sFbWUacsgEsu62VR1
I’m launching Hobbes and sending him all the fees
If you didn't know, this is the official Ansem address from timefun: 4mwxxeq98uyaqmBfeMLZWvHyV55sFbWUacsgEsu62VR1
A creator who is using the profits from his @moolah profile to buy the token? He bought back 3.3% of his supply and keeps doing it. Doesn't this scream bullish?
As frontier models advance, real capability is increasingly driven by test-time compute tokens, dollars, and inference budgets not just pre-training.
This shift makes transparent, reliable, and normalized compute pricing more essential than ever for labs, builders, and safety teams running long-horizon agents and high-stakes evals.
That’s precisely why i am excited about @primisprotocol: the pricing layer for AI compute. Primis abstracts fragmented GPU supply into confidence-scored, reserved rates that teams can integrate directly into workflows turning volatile inference costs into something predictable, efficient, and scalable.
In a world where performance curves matter more than single-number benchmarks, infrastructure like Primis becomes foundational.
Strong validation for the inference-era stack.
This is exactly why the economics of AI are shifting so fast and why intelligent compute pricing is becoming table stakes.
Open models + massive inference volume = exploding demand for predictable, optimized GPU economics.
Builders need reliable pricing, reservation, and cost governance without the chaos of fragmented supply.
That’s the mission @primisprotocol is solving: the pricing layer for AI compute.
Making high-performance inference both accessible and economically sustainable.
Isn’t this giga? This man sent the first AI Computer to the space
he is followed by Elon and other big people
AyJP7M81KhuH53U4MyVT88okK1n9pjhxZhsnNixHpump
I sent an AI computer to the edge of space!
HAAID-1 was the first-of-its-kind high-altitude balloon mission.
It reached an altitude of ~19 km and ran a 360M-parameter LLM on a Raspberry Pi at -68°C.
Sam Altman calling AI budgeting a “huge issue” that “never came up” earlier this year validates what AI builders have been feeling: compute pricing is fragmented, volatile, and impossible to forecast reliably.
This is why primis exists.
@primisprotocol is the pricing layer for AI compute. They normalize supply across providers into clear, confidence-scored rates teams can reserve, apply, and track before workloads even run.
No more surprise bills. No more spot-market roulette. Just predictable, budgetable compute.
The era of unchecked spending is shifting toward efficiency. Primis was built for exactly this moment.