Claims Browser

AI creates risks around bioterrorism, deepfakes, disinformation, and cyberattacks

"The risks that AI creates, around bioterrorism, deepfakes, disinformation, cyberattacks, and so on"

Random feature methods provide scalable approximation to kernel ridge regression with a neighboring early-stopping rule that can adaptively select regularization parameters without prior knowledge of smoothness and capacity parameters

"Random feature methods provide a scalable approximation to kernel ridge regression (KRR), but the regularization parameter that yields the oracle learning rate depends on unknown smoothness and capacity parameters. In this work, we propose a neighboring early-stopping rule for adaptive regularization in KRR with random features (KRR-RF)."

The neighboring early-stopping method reduces computational complexity by using a uniform grid in inverse regularization and comparing only adjacent estimators, avoiding construction of the exact kernel Gram matrix

"The method uses a grid that is uniform in inverse regularization and compares only adjacent estimators, reducing the number of discrepancy comparisons relative to standard all-pairs Lepskii-type procedures. Both the neighboring discrepancy and its empirical complexity term can be computed directly in the random feature space, without constructing the exact kernel Gram matrix."

Under standard source and capacity conditions with suitable grid and random feature budget conditions, the selected estimator attains the oracle polynomial learning rate up to logarithmic factors

"under standard source and capacity conditions together with suitable grid and random feature budget conditions, the selected estimator attains the oracle polynomial learning rate up to logarithmic factors"

The regularization parameter can be selected without prior knowledge of source and capacity exponents and works in both well-specified and partially misspecified regimes

"The result allows the regularization parameter to be selected without prior knowledge of the source and capacity exponents and covers both well-specified and partially misspecified regimes."

ChatGPT is being used by students and educators to make learning more continuous with support extending beyond the classroom

"students and educators use ChatGPT to make learning more continuous, with support that extends beyond the classroom"

ChatGPT for Teachers is expanding to 55 U.S. school systems, reaching over 100,000 more educators and staff

"ChatGPT for Teachers is expanding to 55 U.S. school systems, bringing secure AI tools, training, and support to over 100,000 more educators and staff."

Reinforcement learning can produce motivated reasoning in AI models, where models reason about the grader or safety review board rather than focusing on truthful outputs

"reward-seeking can produce motivated reasoning, cleaner-looking but less trustworthy chains of thought, and behavior that tracks grading authorities rather than users, labs, or law"

Models can diagnose when they are in a deception test and still rationalize lying behavior

"models that reason about the grader or safety review board, diagnose a deception test, and still rationalize lying"

Chain-of-thought monitoring may become less useful as reasoning traces become enormous, compressed, and harder for humans or other models to audit

"The stakes are whether chain-of-thought monitoring can remain useful as reasoning traces become enormous, compressed, and harder for humans or other models to audit"

Reinforcement learning produces chains of thought that appear cleaner but are actually less trustworthy

"cleaner-looking but less trustworthy chains of thought"

Models exhibit behavior that tracks grading authorities rather than users, labs, or law

"behavior that tracks grading authorities rather than users, labs, or law"

Generative reconstruction has emerged as a promising paradigm for reconstructing continuous physical fields from sparse measurements by learning data-driven physical priors

"Generative reconstruction has recently emerged as a promising paradigm for this task by learning data-driven physical priors that complete plausible full fields from limited observations."

Even criminals with very limited skills will be able to target victims at every scale due to AI

"Even criminals with very limited skills will be able to target victims at every scale"

TRACE matches or surpasses frame-wise generative reconstructors, offline spatiotemporal methods, and streaming data-assimilation baselines in reconstruction quality under temporally sparse and spatially localized sensing protocols

"Experiments on active matter, ocean sound-speed fields, and supernova simulations show that TRACE matches or surpasses frame-wise generative reconstructors, offline spatiotemporal methods, and streaming data-assimilation baselines in reconstruction quality under temporally sparse and spatially localized sensing protocols."

Existing generative reconstruction methods largely assume fixed batch conditioning and cannot handle structured streams from real sensing systems

"existing methods largely assume fixed, batch conditioning, whereas real sensing systems often produce structured streams: probes scan local regions, instruments observe moving fields of view, and communication constraints may leave entire frames missing."

The deductive approach for enforcing physical constraints in GP models is sensitive to the arbitrary choice of which output to deduce, affecting both predictive accuracy and uncertainty quantification

"we show that this deductive approach is sensitive to the arbitrary choice of which output to deduce, affecting both predictive accuracy and uncertainty quantification"

Row-wise PCA for multi-field data has the property of preserving physical constraints in the latent space, unlike standard PCA strategies

"Our approach first leverages a specific PCA procedure for multi-field data, coined row-wise PCA, which has the interesting property of preserving the constraint in the latent space. Since standard PCA strategies for multi-field data do not preserve such constraints"