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The California state government has partnered with tech companies to invest $250 million to support journalism and AI research, with a plan to implement this over five years, including an initial allocation of $100 million in the first year. The funding is primarily aimed at developing California news organizations and AI research projects. This initiative aims to boost local news vitality and provide job opportunities, seen as a crucial breakthrough for the survival of journalism. The agreement has sparked controversy between the tech industry and lawmakers, with the initial proposal requiring tech companies to pay a percentage of advertising revenue in exchange for linking content, which faced strong opposition. The California News Publishers Association supports the agreement, believing it will benefit the local community.

The UK government has invested nearly £90 million to establish 9 new artificial intelligence research centers. These centers will support AI expertise in areas such as healthcare, chemistry, and mathematics. The government plans to allocate £2 million to define responsible AI in fields like education, law enforcement, and the creative industries. An additional £10 million will be used to enhance the skills of regulatory bodies to address the challenges of AI governance.

Accenture collaborates with Unilever to advance artificial intelligence research and technology applications, starting with Unilever's newly opened global AI lab in Toronto. The partnership aims to scale the application of generative AI and explore new uses, helping Unilever to expand AI and generative AI in its business more quickly and responsibly, while discovering new value pathways. Leveraging Accenture's ecosystem partnerships, venture capital, and strategic investments, the collaboration will strengthen the innovation agenda and invest in industry solutions and accelerators in the data and AI fields.

An AI researcher from Oxford University has pointed out that large language models (LLMs) may pose a threat to scientific integrity. The research calls for a change in the use of LLMs, suggesting they be used as 'zero-shot translators' to ensure factual accuracy in outputs. Relying on LLMs as a source of information could jeopardize scientific truth, leading to calls for responsible use of LLMs. The study warns that casual use of LLMs in scientific papers could result in significant harm.