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What to expect from AlphaZero's value predictions [D]

An AlphaZero agent has learnt to predict the value of a game state by training on data generated by self-play by the model and a series o...

There aren't enough rockets for space data centers. Cowboy Space raised $275 million to build them. | TechCrunch

Cowboy Space Corporation wants to put data centers in orbit. First, it has to build the rockets to get them there.

AWS just gave AI agents their own wallets. Your agent can now pay for itself.

This dropped 4 days ago and I haven't seen enough people talking about it. AWS launched Amazon Bedrock AgentCore Payments in partnership ...

What to expect from AlphaZero's value predictions [D]

An AlphaZero agent has learnt to predict the value of a game state by training on data generated by self-play by the model and a series o...

There aren't enough rockets for space data centers. Cowboy Space raised $275 million to build them. | TechCrunch

Cowboy Space Corporation wants to put data centers in orbit. First, it has to build the rockets to get them there.

AWS just gave AI agents their own wallets. Your agent can now pay for itself.

This dropped 4 days ago and I haven't seen enough people talking about it. AWS launched Amazon Bedrock AgentCore Payments in partnership ...

Seo District in Gwangju Launches Customized 'AI Digital Learning Center' for Residents

[2511.15204] Physics-Based Benchmarking Metrics for Multimodal Synthetic Images

Abstract page for arXiv paper 2511.15204: Physics-Based Benchmarking Metrics for Multimodal Synthetic Images

[2506.21582] VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents

Abstract page for arXiv paper 2506.21582: VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with I...

[2502.01941] Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression

Abstract page for arXiv paper 2502.01941: Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Comp...

[2510.00436] Automated Evaluation can Distinguish the Good and Bad AI Responses to Patient Questions about Hospitalization

Abstract page for arXiv paper 2510.00436: Automated Evaluation can Distinguish the Good and Bad AI Responses to Patient Questions about H...

[2605.07986] Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios

Abstract page for arXiv paper 2605.07986: Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios

[2605.07985] Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation

Abstract page for arXiv paper 2605.07985: Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation

[2605.07905] CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers

Abstract page for arXiv paper 2605.07905: CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers

[2605.07872] Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models

Abstract page for arXiv paper 2605.07872: Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models

[2605.07786] APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment

Abstract page for arXiv paper 2605.07786: APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment

[2605.07751] Vibe coding before the trend

Abstract page for arXiv paper 2605.07751: Vibe coding before the trend

[2605.07699] DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain

Abstract page for arXiv paper 2605.07699: DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the ...

[2605.07394] BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning

Abstract page for arXiv paper 2605.07394: BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning

[2605.07379] RELO: Reinforcement Learning to Localize for Visual Object Tracking

Abstract page for arXiv paper 2605.07379: RELO: Reinforcement Learning to Localize for Visual Object Tracking

[2605.07186] The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval

Abstract page for arXiv paper 2605.07186: The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval

[2605.07111] Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation

Abstract page for arXiv paper 2605.07111: Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation

[2605.06707] The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking

Abstract page for arXiv paper 2605.06707: The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Genera...