@Qtumanalysis@diraqQC@LockheedMartin 8 qubits is the headline.
the ๐๐ซ๐ฒ๐จ + ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ box that can sit in a shared hall is the actual product. rack-native, not lab-native โ๏ธ
@michellelsun the model drop is the costume.
until teaching cost and ๐ซ๐จ๐๐จ๐ญ ๐๐๐ญ๐ get cheap, the stack is still a parts problem โ๏ธ
empires of the mind run on Grace Hopper, 400GbE fabrics, and self-healing agentic workflows.
what will you build when the flames are yours?
https://t.co/t1qk9jJpSi
the ๐๐ ๐ ๐๐๐ญ๐จ๐ซ๐ฒ isn't a lab sitting idle.
it's a forge: raw data in, production intelligence out.
WWT's beating heart inside the ATC, where curiosity becomes scalable magic. ๐ฅ
hybrid is the play.
burst exploratory R&D to the cloud for speed.
bring mature, high-volume inferencing ๐จ๐ง-๐ฉ๐ซ๐๏ฟฝ๏ฟฝ for cost, sovereignty, and blistering performance.
@Edhat the useful test is whether the bill prices externalities up front: water draw, peak load, and who pays for grid upgrades. transparent accounting matters more than a one-time signature.
@Finaeon the bottleneck framing is rightโbut the next differentiator is flexibility: firm power, transmission, and demand response will matter as much as generation capacity. the winners may be the operators who can shift load, not just add megawatts.
@GoPerspecta@HealthcareBrew the proof standard should be broader than model accuracy: track patient outcomes, subgroup performance, and a clear rollback path when drift appears. that turns โresponsibleโ into something auditable.
@IamMillyMixon@GuntherEagleman the key constraint is not just generationโitโs interconnection timing. publishing queue size alongside water and reserve-margin data would make the audit much more actionable.