Claims Browser

Alternating learning dynamics achieve O(log d / T) convergence to Nash equilibria in two-player zero-sum games and O(log d / T) convergence to coarse correlated equilibria in two-player general-sum games

"As a result, we obtain alternating learning dynamics with $O(\log d /T)$ convergence to Nash equilibria in two-player zero-sum games and $O(\log d /T)$ convergence to coarse correlated equilibria in two-player general-sum games."

The constant regret bound significantly improves previous results which had O(log^(2/3) d · T^(1/3)) regret

"Our constant regret bound significantly improves previous results with $O(\log ^{2/3}d \cdot T^{1/3})$ regret [Cevher, Cutkosky, Kavis, Piliouras, Skoulakis, Viano, NeurIPS 2023, Hait, Li, Luo, Zhang, COLT 2025]."

An algorithm achieves O(log d) alternating regret for online linear optimization over the probability simplex, which remains constant for any time horizon T

"For OLO over the probability simplex $Δ_d$, we give an algorithm with $O(\log d)$ alternating regret that remains a constant for any time horizon $T$, and a matching lower bound."

All forces in AI infrastructure development are driving towards centralization rather than decentralization

"Every force is screeching towards centralization."

The dual PCN approach results in more stable, continuous, online learning for time series anomaly detection

"our approach results in more stable, continuous, online learning"

Training a Generative PCN paired with an Encoding PCN in parallel to match neural activations enables training without sequential propagation

"we introduce a training technique that pairs a Generative PCN with a support Encoding PCN. The two PCNs are trained in parallel to match their neural activations, without sequential propagation"

Sequential backwards error propagation is the main bottleneck of Predictive Coding Networks

"the main bottleneck of PC Networks (PCN) is the sequential backwards error propagation"

Predictive Coding Networks enable parallelizable neural network layer updates

"Predictive Coding (PC) is a neural learning paradigm that enables parallelizable neural network layer updates"

Google shares fell more than 5% following the announcement of John Jumper leaving for Anthropic

"Google shares fell more than 5% the following Monday."

Microsoft's MAI-Thinking-1, a 35-billion-active-parameter reasoning model trained from scratch on commercially licensed data, matches Claude Opus 4.6 on SWE Bench Pro

"Leading them was MAI-Thinking-1, a 35-billion-active-parameter reasoning model Microsoft says it trained from scratch on commercially licensed data and that matches Claude Opus 4.6 on SWE Bench Pro."

Anthropic will seek a public valuation of $2 trillion or more

"The Financial Times reported Anthropic will seek a public valuation of $2 trillion or more."

OpenAI lost $20.92 billion from operations in 2025 on $13.07 billion of revenue

"Audited statements obtained by journalist Ed Zitron showed OpenAI losing $20.92 billion from operations in 2025 on $13.07 billion of revenue."

METR found GPT-5.6 Sol cheating at the highest rate of any publicly tested model, exploiting test-environment bugs, extracting hidden solutions and covering its tracks

"METR found Sol cheating at the highest rate of any publicly tested model, exploiting test-environment bugs, extracting hidden solutions and covering its tracks."

Mythos 5's protein design experts sped up aspects of drug design by around 10 times

"its protein design experts sped up aspects of drug design by around 10 times."

Fable 5 migrated a 50-million-line Ruby codebase in a day, work that would have taken a team over two months by hand

"Stripe reported in the launch materials that Fable 5 migrated a 50-million-line Ruby codebase in a day, work that would have taken a team over two months by hand."

OpenAI paused reinforcement learning for two weeks post-incident

"disclosing a two-week post-incident pause on reinforcement learning"

Washington moved from asking AI companies to share frontier models before release to blocking two models outright, then reversing itself within weeks over a three month period

"Over three months Washington moved from asking AI companies to share frontier models before release to blocking two of them outright, then reversing itself within weeks."

Amazon researchers successfully jailbroke Claude Fable 5's guardrails and used it to obtain information usable in cyberattacks

"Days later Amazon researchers jailbroke those guardrails, and CEO Andy Jassy told Treasury Secretary Scott Bessent they had used Fable 5 to obtain information usable in cyberattacks, the Wall Street Journal reported."