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will.i.am compares AI in music to 1970s sampling debates, predicting it'll evolve from today's "slop"—generic outputs—to sophisticated, autonomous creation in 20 years. He highlights ethical issues: AI trains on human music without compensation, echoing cleared samples in hip-hop. As an ASU professor, he teaches students to build personal AI agents using GPUs, emphasizing data ownership like a digital bank account. In a fragmented streaming era, where TikTok virality trumps communal hits, live improv becomes key to authenticity against deepfakes. His career, from Black Eyed Peas to solo work, shows tech amplifies creativity if regulated right.

Amelia, the AI-generated British schoolgirl with purple hair and a Union Jack flag, started as a cautionary character in the UK Home Office-funded Pathways game to deter youth extremism. But far-right users hijacked her image, creating provocative videos where she rails against immigrants and Muslims, racking up 1.4 million views from one X post alone. By January 15, posts surged to 10,000 daily, with AI tools like Grok enabling endless variations—from manga styles to pop culture crossovers. Her meme even spawned a cryptocurrency token, hyped by Elon Musk's retweet, turning hate into profit via Telegram pump schemes. Experts from ISD highlight her international appeal in dissident far-right networks, blending cuteness with xenophobia to radicalize young men. This phenomenon exposes AI's risks in spreading divisive content and challenges for counter-extremism like the Prevent program.

Africa's primary healthcare grapples with a 6 million worker shortage and 27% aid cuts, reversing child health gains. Enter Horizon1000: Gates Foundation and OpenAI's $50M push to equip 1,000 clinics with AI for faster triage, automated records, and multilingual guidance, piloting in Rwanda. Tools cut visit times in half, aiding rural mothers and immunization drives. Despite hurdles like spotty internet and bias risks, the phased rollout emphasizes local training for sustainability. Drawing on WHO stats, this explores how AI plugs operational gaps, potentially handling 20-30% of routine tasks to bolster resilient systems amid global funding squeezes.