Cracked a Millennium Prize Problem: In September 2026, an autonomous multi-agent AI framework resolved the Navier-Stokes existence and smoothness problem—a 90-year-old roadblock in mathematical fluid dynamics—by identifying a finite-time singularity and formally verifying the analytical proof in Lean. Dismissing an architecture that settled a million-dollar Clay Institute problem as "stupid" doesn't match reality. 

Frontier Mathematical Discoveries via Astra: Frontier reasoning systems like Astra aren't just regurgitating textbook proofs; they are discovering novel mathematical structures and knocking down open conjectures—including decades-old Erdős problems—with machine-checkable verification that human mathematicians actively rely on. 

Autonomous Software Engineering: The days of glorified tab-autocomplete are long gone. Frontier models now autonomously write, debug, and merge upwards of 80% of production pull requests at leading research labs. Agent swarms are routinely tasked with end-to-end repository migrations and complex architectural refactors with minimal human intervention.

Validation of Connectionism and Scaling Laws: The classic critique that connectionist neural architectures are mere "stochastic parrots" incapable of genuine semantic abstraction has largely collapsed. Empirical scaling laws continue to hold: expanding compute, parameter bandwidth, and post-training verification continues to yield emergent logical reasoning and generalized problem-solving without needing hardcoded symbolic rules.

Being skeptical of marketing hype is healthy, but mistaking foundational shifts in formal reasoning, autonomous capability, and computational physics for a parlor trick is simply missing the frontier entirely.

(http://www.autoadmit.com/thread.php?thread_id=5908650&forum_id=2#50165757)