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Latest from the academy

Milestones, releases, and stories from all three frontiers — written by the researchers who did the work.

Jun 28, 2026Chancellor-1 tops open-model reasoning benchmarksOur fully open 70B model matches closed frontier systems on graduate-level science questions — and unlike them, every token of its training data is public.→

Jun 12, 2026QuArc-128 achieves below-threshold error correctionLogical qubits that get better as they get bigger: our surface-code memory crossed the fault-tolerance threshold, with all calibration data released.→

May 30, 2026Atlas-H begins agricultural field trialsOur humanoid platform starts a season-long deployment with three university farms, testing contact-rich manipulation outside the lab.→

May 18, 202646 universities join the QuArc open-access programAcademic groups worldwide now run experiments on our error-corrected testbed at no cost, with results published openly.→

Apr 22, 2026Introducing the Auditable Pretraining toolkitNew open tooling traces a model's capabilities back to specific slices of its training corpus — turning “black box” into a checkable claim.→

Apr 03, 2026Neural decoders go live on quantum hardwareA learned error-correction decoder now runs in the real-time control loop of QuArc-128 — our first production quantum–AI hybrid system.→

Mar 19, 202611,000 hours of manipulation data, releasedThe largest open contact-rich manipulation dataset to date, complete with force-torque streams and failure annotations.→

Feb 27, 2026Annual letter: the case for open frontiersOur chief research scientist on why the hardest technologies of the century are safest when developed in daylight — and what we're committing to in 2026.→

Feb 10, 2026Simulating nitrogenase on hybrid quantum hardwareA 40× reduction in qubit requirements brings industrially relevant chemistry within reach of near-term devices.→

Jan 15, 2026iChancellor's AI expands to a second campusA new facility brings our robotics workshop, quantum lab, and compute cluster under one roof — by design, within shouting distance of each other.→

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