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Nvidia's $2 billion investment in CoreWeave targets over five gigawatts of AI factories by 2030, addressing surging demand for AI computing. This builds on their collaboration, with CoreWeave's cloud platform powered entirely by Nvidia GPUs for training and inference. Executives like Jensen Huang emphasize the historic infrastructure buildout, while Michael Intrator highlights Blackwell's cost-efficient architecture. CoreWeave earns from GPU rentals and managed workloads, backed by a $6.3 billion Nvidia order through 2032. Market shares rose 9% post-announcement, signaling investor confidence in AI's production-scale shift amid energy and supply challenges.
AI Jobs Boom: Davos Leaders Forecast Net Gains
· 1/26/2026
Davos 2026 buzzed with AI optimism as Nvidia's Jensen Huang declared "jobs, jobs, jobs" in sectors like chips and energy infrastructure. Bill Gates called for taxing AI to fund retraining, noting productivity boosts expand economies. Unions like UNI Global warned of "more with fewer workers," citing surveys where only 1 in 8 CEOs see clear ROI. Examples include Cisco slashing project times from 19 man-years to weeks via AI coding, BNY cutting onboarding from days to minutes, and BlackRock growing assets by $700B while keeping headcount flat. Elon Musk urged optimism for quality of life amid these shifts.
Scraped Articles: 7 Ethical Risks and Solutions
· 1/26/2026
Scraped articles involve automated extraction of online content like news or reviews using tools such as Python's BeautifulSoup or Scrapy. With AI's rise, billions of pages fuel models, but controversies arise—think LinkedIn's lawsuit over profile scraping or publishers losing ad revenue to AI summaries. Legally, public data is often fair under CFAA, yet republishing violates copyright. Ethically, it risks bias and devalues original work. Protect your site with robots.txt and monitoring; for ethical scraping, use APIs, throttle requests, and credit sources. Over 100 billion pages scraped yearly highlight the scale—innovate responsibly to avoid fines and bans.
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.