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Welcome to Google Gemini 4 Argon

A million-token output window changes what you can hand a model in one go, and the benchmarks and the bill show who it actually suits. The post Welcome to Google Gemini 4 Argon appeared first on Towards Data Science.

Can Conformal Prediction Take You from Accurate to Reliable Machine Learning?

ML model adoption doesn't stop with acceptance of accuracy; it starts there. The post Can Conformal Prediction Take You from Accurate to Reliable Machine Learning? appeared first on Towards Data Science.

How Many EEG Channels Do You Actually Need?

Testing sensor reduction, feature ranking, and generalization to unseen participants The post How Many EEG Channels Do You Actually Need? appeared first on Towards Data Science.

AI Harms and Their Technical Causes

How technical choices can lead to safety failures, and what to do differently The post AI Harms and Their Technical Causes appeared first on Towards Data Science.

😺 DeepSeek's free model edged Opus 5 at coding

Anthropic Is Still Hiring. Junior Technical Roles Are Taking a Smaller Share

Anthropic continued expanding its technical workforce as junior employees’ share of new hires fell from 27% to 9%. The findings suggest AI adoption could change recruitment priorities and how employees gain experience.

Anthropic Consults Lawyers on How AI Agents Should Negotiate

Anthropic is exploring AI agents that negotiate for users. Its book-trading research shows how misunderstood preferences can affect outcomes, while commercial use raises questions about authorization and disputed…

A Quantum Roadmap for Softmax Attention: Exact Born-Rule Analogs for Softmax Attention on the Probability Simplex

arXiv:2608.11173v3 Announce Type: replace-cross Abstract: The attention mechanism forms the foundation of many modern AI models such as the Transformer. In one subclass of problems where attention is used, inputs and…

Can Graph Learning Learn Circuits?

arXiv:2608.08536v2 Announce Type: replace Abstract: Circuit localization is a mechanistic interpretability task whose goal is to identify a sparse subgraph of a transformer's computation graph sufficient to reproduce a…

TRIP-Shapley: Propagation-Aware Contribution Attribution Framework for Peer-to-Peer Federated Learning

arXiv:2505.23246v3 Announce Type: replace Abstract: Contribution attribution is a fundamental problem in federated learning (FL), yet it remains challenging in peer-to-peer FL (P2PFL), where participant influence…

SafeAdapt-Poker: Counterfactual Risk Calibration for Budgeted Adaptation under Opponent Shift

arXiv:2610.20473v2 Announce Type: replace-cross Abstract: Opponent histories can mislead after behavioral shifts. SafeAdapt-Poker formulates budgeted adaptation under opponent shift as a dual-counterfactual…

Minimax-optimal Scaling Laws in Ridge Regression via Transfer Learning

arXiv:2610.23337v1 Announce Type: new Abstract: Pretrained models are often reused across downstream tasks, motivating the question of whether this transfer learning procedure can provide a substantial performance…

Hypothesis Selection via Weighted Medians

arXiv:2610.20375v2 Announce Type: replace-cross Abstract: Given $n$ distributions (hypotheses) $\mathcal H=\{H_1,\ldots,H_n\}$ and samples from an unknown target distribution $P$, proper hypothesis selection seeks a…

Information Estimation with Discrete Diffusion

arXiv:2610.23404v1 Announce Type: new Abstract: Information-theoretic measures, such as Mutual Information (MI), play a crucial role in understanding non-linear relationships between random variables and are widely used…

Partial-Revelation Panel Forecasting: Predictive Information Gain, Allocation, and Coarsening-Consistent Operators

arXiv:2610.22831v1 Announce Type: new Abstract: We study partial-revelation panel forecasting: given $k$ of $n$ annotator votes on the previous dialogue turn, predict the full count distribution of the next turn's…

Batched Contextual Reinforcement II: Does RLVR Need Long Rollout Windows?

arXiv:2610.22887v1 Announce Type: new Abstract: Long rollout windows make reinforcement learning with verifiable rewards (RLVR) expensive, yet simply shortening them can remove the correctness signal: when every…

Interpreting SSL Representations for Spoof Detection: a WavLM Study

arXiv:2610.23526v1 Announce Type: cross Abstract: Self-supervised speech models such as WavLM achieve strong spoofing detection performance, yet which layers encode the most spoof-relevant information and what acoustic…

Generative Value Classifier

arXiv:2610.22497v1 Announce Type: new Abstract: Q-learning is premised on learning a function to predict the value of a state-action pair, with the goal of using such a function to guide policy improvement. Most…

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence

arXiv:2605.16395v2 Announce Type: replace-cross Abstract: We present OrbiSim, a novel robotic simulation paradigm that redefines world models as a fully differentiable physics engine for embodied intelligence. Unlike…

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series

arXiv:2605.05524v2 Announce Type: replace Abstract: Causal representation learning (CRL) seeks to recover latent variables with identifiability guarantees, typically up to permutation and component-wise…