The danger of AI is not that it will become conscious and hate us, but that it will become competent and ignore us."
—Eliezer Yudkowsky
Broad journalistic coverage of artificial intelligence innovations, ethical questions, industrial shifts, and global news.
Manus said on Tuesday it will soon return to operating as an independent company, unwinding Meta’s $2 billion acquisition after Chinese regulators ordered the deal reversed in April. Data generated by some users since 29 December 2025 will be deleted later this month as part of the separation.
Meta announced the launch of Muse Glimmer – a 30-billion-parameter open-weight model designed to run locally on consumer hardware such as personal computers and Macs with performant GPUs.
South Australia moves to shape its response to the AI boom, as the government warns that public policy is failing to keep pace with the scale of technological change ahead.
Genome language models Evo 1 and Evo 2 generated some 700,000 candidate bacteriophage genomes. Researchers built 285 of them. Sixteen came alive and infected E. coli, including strains resistant to the natural template.
With a growing global focus on AI, Tamil Nadu’s revised Budget outlines plans for ‘Arivagam’, AI talent development and AI-driven governance reforms.
In a move to attract world-class international talent in Artificial Intelligence, life sciences and clean energy, the UK government has expanded the Global Talent visa. More than 100 research-intensive companies can now host and support exceptional scientists and engineers on funded projects.
The new voluntary policy applies to closed frontier AI models, while exempting open-weight models, including those developed by Chinese AI companies.
The World Bank’s first comprehensive assessment of AI’s implications for developing economies argues that frontier models are the hardest and costliest path. Poorer countries, it says, should adapt existing low-cost tools to local languages and conditions.
The hiring covers technology, legal, operations and paralegal roles, with a particular emphasis on technology specialists.
Built on the Qwen 3.5 architecture, Alibaba’s 2.4-trillion-parameter model is compared by the company with frontier AI models from companies such as Anthropic and OpenAI, with pricing set at $2 per million input tokens and $6 per million output tokens.
