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AI’s most important protocol is getting a little bit easier to use30m◆X relaunches a rebuilt Android app after year-long effort1h◆OpenAI is scared of open-weight models. Should the US be?1h◆China’s AI models have Trump’s AI world at war with itself3h◆Adobe’s ‘natural look’ camera app embraces generative AI5h◆Introducing Cosmos 3 Edge5h◆Adobe camera app’s new feature will critique your photos using AI5h◆YouTube clarifies policies around AI slop and upsetting videos5h◆China delivers a one-two punch to America’s AI dominance11h◆Safety and alignment in an era of long-horizon models11h◆AI is more likely than humans to form biases when hiring12h◆ADS-C: Antidistillation Sampling for Classification17h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes17h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems17h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison17h◆Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution17h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents17h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections17h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery17h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI17h◆AI’s most important protocol is getting a little bit easier to use30m◆X relaunches a rebuilt Android app after year-long effort1h◆OpenAI is scared of open-weight models. Should the US be?1h◆China’s AI models have Trump’s AI world at war with itself3h◆Adobe’s ‘natural look’ camera app embraces generative AI5h◆Introducing Cosmos 3 Edge5h◆Adobe camera app’s new feature will critique your photos using AI5h◆YouTube clarifies policies around AI slop and upsetting videos5h◆China delivers a one-two punch to America’s AI dominance11h◆Safety and alignment in an era of long-horizon models11h◆AI is more likely than humans to form biases when hiring12h◆ADS-C: Antidistillation Sampling for Classification17h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes17h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems17h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison17h◆Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution17h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents17h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections17h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery17h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI17h◆
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