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
Neelam Sharma is a passionate storyteller, and journalist with over a decade of experience across leading Indian media houses.
Known for her calm presence on screen and powerful storytelling off it, Neelam brings a rare blend of credibility, creativity, and empathy to journalism. Her strength lies in ground reporting and research-driven narratives that connect with the heart of the audience. Whether covering social issues, human-interest features, or breaking news, she combines factual depth with a human touch—making every story not just informative.
With a growing global focus on AI, Tamil Nadu’s revised Budget outlines plans for ‘Arivagam’, AI talent development and AI-driven governance reforms.
Suno says it will roll out audio watermarking and fingerprinting and restrict bulk downloads, a week after the Munich Regional Court found the AI music generator liable for infringing works represented by German collecting society GEMA.
Anthropic is strengthening its global policy leadership as AI governance becomes a strategic priority and regulatory scrutiny intensifies.
The U.S. National Science Foundation has launched a $100 million State and Regional AI Infrastructure Hubs program to expand access to advanced computing, data and AI resources for researchers, educators and students across the country.
Days after META officials were summoned by the government, India reiterated that social media platforms must comply with amended IT Rules governing AI-generated content and deepfakes. Platforms with over 5 million users face stricter obligations, including AI content labelling, faster removal of harmful material, and the risk of losing legal immunity for non-compliance.
A working group convened by NVIDIA has drafted SAFE, a framework under which companies would confidentially report AI agent security incidents into a shared pool.
An INTERPOL assessment of 36 African countries finds artificial intelligence now drives more than 55% of reported cybercrimes, with losses more than doubling to $484 million since 2024 as offenders industrialize phishing, deepfakes and synthetic identity fraud.
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.
A Google Research paper describes a system that hunts entire networks of AI spam accounts rather than reviewing videos one at a time, reporting 130,000 channels terminated across 50,000 clusters in six months.
A Reuters review of over 80 academic papers and patents has found Chinese institutes with ties to the PLA using distillation techniques on US AI models, including OpenAI’s GPT-3.5 and Anthropic’s Claude Haiku, to develop domestic defense-linked AI systems.
