
Did OpenAI Copy Buckmaster's Navier-Stokes Proof?
A viral reading says the OpenAI Navier-Stokes plagiarism row was a misunderstanding. The dated record backs half of it, and the proof itself is still unconfirmed.
Elena Marsh · October 15, 2026

Seven peer-reviewed studies tested Google Maps Timeline against GPS. It captured 95% of places but only 32% of trips, and the on-device move changes research.
By Daniel Reyes · October 17, 2026

A viral reading says the OpenAI Navier-Stokes plagiarism row was a misunderstanding. The dated record backs half of it, and the proof itself is still unconfirmed.
Elena Marsh · October 15, 2026

P(doom) is a personal guess, not a forecast, and "doom" has no fixed meaning. A better test — irreversibility plus loss of human agency — shows why the Matrix is a weak example, while misaligned, uncorrectable AI is the real risk.
Quanlai Li · October 14, 2026

Anthropic's Frontier Red Team tested whether small open-weight models can copy themselves across cheap home IoT hardware. Only GLM-5.2 completed full replication across an 8-node fleet; every model small enough for a $55 TV box failed.
Marcus Feldman · October 13, 2026

California's seven data center laws transform energy consumption, water usage, and local governance with a data-driven analysis approach.
Priya Raman · October 12, 2026

A reply to Terence Tao's October 2026 'Math 2.0' thought experiment. Humans benefited from sex, fire, and aspirin long before understanding them; where Tao is right is narrower: a powerful optimizer can game the trial it was told to pass.
Quanlai Li · October 11, 2026

The AHM statement hosted on Terence Tao's blog says mathematicians did not ask for OpenAI's 700-file math release. On Tao's own blog, 53 of 103 comments rejected it.
Elena Marsh · October 9, 2026

We matched OpenAI's 722 published math manuscripts against its own Lean formalization catalogue. Only 162 main results are machine-checked, and none of the 143 manuscripts dated in October.
Daniel Reyes · October 7, 2026

Explore a data-driven perspective on California data centers, focusing on energy demand and its significant implications for grid stress.
Editorial Desk · October 5, 2026

PicoJool's funding round marks a significant shift in AI data-center interconnects and infrastructure, transforming AI bandwidth capabilities.
Marcus Feldman · September 28, 2026

Explore a neutral, data-driven analysis of AI Infra Summit's significant impact on evolving infrastructure trends and market dynamics.
Editorial Desk · September 21, 2026

A data-driven perspective on Open-Source AI governance and how OSPOs drive risk management, collaboration, and innovation.
Priya Raman · September 14, 2026

Twenty-five Fields Medalists signed a declaration calling AI labs severely misaligned with mathematics. Our analysis of who signed suggests it is a labor argument, not an epistemic one.
Nil Ni · September 12, 2026