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SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interaction1h◆Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech1h◆The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models1h◆UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering1h◆Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection1h◆INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning1h◆A Survey on Rubric-Guided Reinforcement Learning for Language Models1h◆How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution1h◆Trajectory-Level Speculative Decoding for Diffusion Language Models1h◆When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages1h◆Knowing Before Answering: Decoding Language Models for Reliable RAG1h◆First Make It Playable, Then Make It Good: Staged Interaction Learning for Small Dialogue-Game Agents1h◆Below the Noise Floor: Bimodal Seed Collapse and Distinct Failure Modes in Small-Model Knowledge Distillation1h◆Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic Reasoning1h◆Informational Antilocality and the Locality Bias in LLMs1h◆Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflict1h◆Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy1h◆PersonaEdit: Representative Sample Selection for Personalized Model Editing1h◆Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social Experience1h◆EvoHarmBench: Breaking Content Moderation with Iterative Human-Like Evasion1h◆SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interaction1h◆Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech1h◆The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models1h◆UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering1h◆Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection1h◆INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning1h◆A Survey on Rubric-Guided Reinforcement Learning for Language Models1h◆How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution1h◆Trajectory-Level Speculative Decoding for Diffusion Language Models1h◆When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages1h◆Knowing Before Answering: Decoding Language Models for Reliable RAG1h◆First Make It Playable, Then Make It Good: Staged Interaction Learning for Small Dialogue-Game Agents1h◆Below the Noise Floor: Bimodal Seed Collapse and Distinct Failure Modes in Small-Model Knowledge Distillation1h◆Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic Reasoning1h◆Informational Antilocality and the Locality Bias in LLMs1h◆Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflict1h◆Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy1h◆PersonaEdit: Representative Sample Selection for Personalized Model Editing1h◆Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social Experience1h◆EvoHarmBench: Breaking Content Moderation with Iterative Human-Like Evasion1h◆
News/Musk’s faster path to more gas turbines comes with pollution problem
techcrunch
PublishedAugust 30, 2026 at 4:54 PM
—neutral

Musk’s faster path to more gas turbines comes with pollution problem

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Publisher summary· verbatim

Elon Musk says a secretive new SpaceX foundry will let him cast his own turbine blades and get gas power online 18 months faster than anyone else — but it's a bet on a fuel source that's already triggering lawsuits and health studies everywhere his (and others') turbines have gone in.

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