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Eye on AI Weekly Research Watch
by Craig Spencer Smith
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Latest episodes
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HazardWeaver: Scientific Route Selection for Hazard Analysis Agents
October 7, 2026 · 3 minNatural hazard analysis requires choosing scientific methods that are both appropriate for an event and executable with available data and tools, and those choices may need revising as evidence emerges. HazardWeaver frames this as…
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When a Correct Reward Is Not Enough: Diagnosing and Guiding PPO in an Analytically Solved Broker-Trader Game
October 7, 2026 · 3 minReinforcement learning is increasingly applied to financial control, so this paper uses an analytically solved continuous-time broker–trader game to diagnose PPO. A PPO agent replaces the broker and sets trading speed. With no uninformed…
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Low-Cost Video-Time Priors as a Strong Baseline for EEG-fNIRS Emotion Regression on Familiar Videos
October 7, 2026 · 2 minContinuous emotion regression estimates a viewer's moment-to-moment valence and arousal while watching video. For familiar videos, the authors find that a simple prior based on which video is playing and the time within it is a strong…
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Depth as Time in One-Step Generative Models
October 7, 2026 · 2 minOne-step generators compress multi-step diffusion into a single forward pass, raising the question of what happens to the denoising trajectory. The authors observe "depth as time": denoising unfolds across network layers and can be…
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NeutronGym: Physics-Graded Neutron Instrument Design for LLM Agents
October 7, 2026 · 3 minInstrument design tests whether language-model agents can apply physics rather than recall it. NeutronGym is an executable environment for neutron instrument design: agents build instruments through validating tools, McStas ray-traces…
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Credit Where It Matters: Dependency-Aware Policy Optimization for Terminal Agents
October 7, 2026 · 2 minTerminal-using agents trained with reinforcement learning handle multi-step coding and debugging, but standard credit assignment ignores that later commands depend on earlier outputs, so training signals can land on irrelevant steps…
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LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation
October 7, 2026 · 3 minCamera-controlled video models struggle with 3D inconsistency over long horizons: objects vanish or scene structure shifts as the camera moves. Post-training with a single scalar reward gives poor credit assignment for these local errors…
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Do Large Language Models Know Colombian Law? A Reliability Benchmark for the Colombian Legal System
October 7, 2026 · 2 minLLMs are increasingly used in legal work, yet their reliability outside the United States is poorly documented. This expert-validated benchmark has 1,042 items across ten areas of law and three formats, and was used to test 15 models…
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On-Board Anomaly Detection for Efficient Marine Environmental Monitoring
October 7, 2026 · 2 minOil spills, algal blooms, and sediment floods harm marine ecosystems, and satellites could flag them early, but downlink bandwidth and onboard compute are limited. The authors propose a pipeline for multiand hyperspectral satellites: a…
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MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search
October 7, 2026 · 3 minDense-retrieval services must adapt embedding dimension and index bit rate as latency, quality, and memory budgets shift, but maintaining separate quantized indices for each setting is memory-hungry. Matryoshka Residual Vector Quantization…
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Revisiting Input Time-frequency Representations in Multi-pitch Estimation for Vocal Ensembles
October 7, 2026 · 2 minEstimating several simultaneous pitches in vocal ensembles is difficult because singers' ranges and harmonics overlap. Many models use harmonic constant-Q transform (HCQT) inputs for frequency-adaptive resolution, though feature extraction…
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FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution
October 7, 2026 · 3 minLLM-guided evolutionary methods like AlphaEvolve tackle hard optimization problems, but they are usually judged on gain per iteration rather than per dollar. FrugalEvo pairs a stronger, costlier LLM that proposes solution strategies with a…
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Weekly, digestible podcast explainers of significant research papers