Well, the overwhelming consensus is now that the activities around AI training fall under Copyright law. The "non-expressive use" folks always had a fringe opinion, but have lost. Not just caselaw but regulations codify it. There may be exceptions to the rule, but not important.
GENERATIVE AI
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Multiple LLMs Solve Previously Unsolvable ARC-AGI-2 Examples Together
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Many ARC-AGI-2 examples that were unsolvable by any single LLM were solved by combining multiple LLMs. In some cases, an initially incorrect attempt by o4-mini is used by R1-0528 and Gemini-2.5-Pro as a hint to get to the correct solution. ARC-AGI-2 code: https://
github.com/SakanaAI/ab-mc
ts-arc2
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Building Neo4j-Powered Applications with LLMs and AI Frameworks
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New from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -
Open-Source AI Models Struggle to Match Closed Competitors
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had the depressing realization that since chatGPT came out, there has *never* been a moment when the best model was open-source the open models just never quite manage to catch up to closed ones before the the next one drops
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Character.AI Announces Anime Expo Presence July 3-4
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http://
Character.AI is going IRL. Yup you heard that rightttt! We’re coming to @AnimeExpo in Los Angeles from July 3 to 4! Are you attending? Come say hi! We’ll have exclusive merch, c.ai+ giveaways, and a chance to hang out with Creators, Cosplayers, and fellow Chatlings! -
California, Colorado, Utah Pass AI Regulation Laws
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Context: California, Colorado and Utah have each already passed new state laws to regulate automated decision-making systems, generative AI systems and/or synthetic content. Most states have AI-related bills in progress, mostly at earlier stages in the legislative process.
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AB-MCTS: Inference-Time Scaling for Frontier AI Model Cooperation
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Inference-Time Scaling and Collective Intelligence for Frontier AIhttps://t.co/3qSUaEixQU
— hardmaru (@hardmaru) 1 juillet 2025
We developed AB-MCTS, a new inference-time scaling algorithm that enables multiple frontier AI models to cooperate, achieving promising initial results on the ARC-AGI-2 benchmark.… pic.twitter.com/9guSv7Dtv0Inference-Time Scaling and Collective Intelligence for Frontier AI https://
sakana.ai/ab-mcts/ We developed AB-MCTS, a new inference-time scaling algorithm that enables multiple frontier AI models to cooperate, achieving promising initial results on the ARC-AGI-2 benchmark. -
AI Solutions Across Consumer Developer and Enterprise Segments
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Consumers, developer, enterprise
