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 AI NEWS                                                                                 
1️⃣ 🤖 UNESCO Pushes for Global AI Ethics Treaty                                                          UNESCO announced renewed efforts to get countries to adopt a binding international treaty on AI ethics. The plan emphasizes transparency, bias reduction, and child protection in generative AI systems. Officials argue voluntary principles aren’t enough to govern risks. The move seeks to establish global norms before AI adoption accelerates further.

2️⃣ 🛰️ NASA Uses AI to Optimize Space Missions
NASA revealed it is deploying new AI models to improve spacecraft navigation and mission design. These tools cut planning time from months to weeks by analyzing billions of trajectory options. The technology is being tested for future Mars and asteroid missions. Officials say AI will help maximize efficiency and reduce risks in space exploration.

3️⃣ 🇦🇱 Albania Appoints AI “Minister” to Combat Corruption
Albania has appointed an AI digital assistant named Diella as a minister officially overseeing public procurement. Diella will manage government contract decisions with the goal of reducing graft and increasing transparency. It's being seen as a world-first move to embed AI in governance roles. Critics raise questions about accountability, oversight, and potential vulnerabilities.

4️⃣ 🌐 India Today Partners for Multilingual AI News Translation
India Today has teamed up with CAMB.AI to implement live multilingual translation and localization of its news content. The initiative covers Hindi, regional Indian languages, and content for diaspora audiences. The partnership aims to retain tone and emotion in translations to make news more inclusive. This expands reach and breaks language barriers in journalism.

5️⃣ 🧠 Ericsson Unveils AI-Powered 5G & Network Innovations
At a U.S. analyst event, Ericsson showcased new AI capabilities in its 5G and private network offerings. Key highlights include improvements in mission-critical connectivity, programmable networks, and API aggregation. The focus is on performance, reliability, and enabling new enterprise use-cases. These innovations point toward tighter integration of AI with core telecom infrastructure.

6️⃣ 🎓 Schools Grapple with AI and Cheating Redefinition
Educators in the U.S. say the rise of AI is forcing a rethink of assessments: take-home essays and homework are under scrutiny, because work done remotely might involve AI. There’s growing debate over what counts as academic dishonesty. Some schools are reverting to more in-class evaluations and stricter monitoring. The change is affecting how students learn and how teachers assess.

7️⃣ 🧴 When Not to Trust AI in Skin Health
AI tools for dermatology are seeing rapid adoption—from mole checks to hair or rash diagnosis via phone images. But experts warn: not all skin concerns are safe for AI diagnosis. Sudden changes or ambiguous symptoms still need in-person checks. Overreliance on algorithms could delay treatment. Users should know limitations of current AI health tools.

8️⃣ 💭 Gen Z Sees AI as Tool, Not Threat
Gen Z individuals interviewed suggest they see AI less as a job threat and more as a tool to gain advantage. Skills, adaptability, and prompt learning appear more important than traditional qualifications. They feel AI gives new pathways and are optimistic about its role in work and innovation. The piece reflects changing attitudes toward automation and the future of jobs.

9️⃣ 🌍 “AI Arms Race” Fuels Valuation Battles
Big tech giants like NVIDIA, Microsoft, and Google are deeply engaged in competing over AI chips, models, and cloud services. Market observers note this is reshaping what investors value—performance, data, infrastructure. Valuations of firms are driven more by AI capability expectations than past profits. But there’s concern: Is this race sustainable, or is it inflating a bubble?

🔟 📊 India’s IT Sector Warned: Don’t Become the “Textile Sector”
A startup founder has warned that India's IT industry may suffer a fate like the textile sector if it stays focused only on low-cost outsourcing. The message: India needs to build its own products, platforms, and trusted brands in AI, not just be a service provider. Building higher value, globally recognized innovation is seen as essential.

1️⃣1️⃣ 🩺 Pharma & Biotech Struggle Despite AI Promise
AI drug discovery has huge promise, but many companies are facing delays—not because of technology, but due to regulatory, safety, and cost hurdles. The gap between lab success and clinical impact remains large. Investment continues, but patience is required. The sector is pushing through but the path is slower than hype suggests.

1️⃣2️⃣ ⚙️ Cloud and AI Expand Beyond Traditional IT
Generative AI is expanding cloud usage beyond typical IT customers, with industries across manufacturing, finance, and retail increasingly using AI-powered cloud services. Customers demand scalability, reliability, and lower latency. Providers are investing in infrastructure, APIs, and performance to meet new use cases. The change reflects AI maturing from niche to foundational in enterprise tech.

📚 Book Summary: The Creativity Code — Art and Innovation in the Age of AI

Author: Marcus du Sautoy

🧠 Main Idea:

AI is no longer just about solving equations—it’s now composing music, painting, and writing. But does this mean machines are truly creative, or are they simply mimicking patterns from humans?


🔍 Key Concepts:

  1. AI as a Creative Partner

    • Algorithms can generate art, music, and stories, expanding human creativity rather than replacing it.

  2. Pattern Recognition vs. Originality

    • AI produces work based on patterns in data; genuine originality still requires human imagination.

  3. Redefining Creativity

    • The line between human and machine creativity is blurring, forcing us to rethink what “art” means.

  4. Human + Machine Collaboration

    • The most powerful results come when AI enhances human creativity, not when it tries to act alone.

  5. Ethics & Ownership

    • Who owns AI-generated art—the programmer, the user, or the machine?


🧩 Core Lessons:

  • AI can inspire and amplify creativity, but it doesn’t truly “understand.”

  • Creativity may evolve into a shared human-machine process.

  • The future of art lies in collaboration, not competition, with AI.


🎯 Who Should Read It:

  • Artists, musicians, and creators curious about AI.

  • Anyone interested in the intersection of technology and creativity.                                                                                                                                                                                                               

    🔟  AI Tools 

    1. Seedream 4.0 – Next-gen image generation by ByteDance, built for professionals. Produces ultra-fast 2K images, supports up to six reference images, and offers enhanced editing control.

    2. Genkit Go 1.0 – Google’s open-source AI development framework for Go. Provides a unified model interface with multimodal content, tool calling, and retrieval-augmented generation.

    3. PwC Data PRO & Acquisition Hub – New enterprise tools designed to improve audit quality and simplify data preparation workflows.

    4. AI Writing Tools in Gboard – On-device AI that can revise tone, style, and grammar, as well as rewrite messages instantly.

    5. Firefox “Shake to Summarize” – Mobile feature that lets users shake their device to generate AI summaries of webpages.

    6. Arm Lumex Chips – Mobile-optimized chip designs for running AI models on devices like phones and smartwatches, reducing cloud dependency.

    7. Synamedia AI Innovation Suite – Set of AI tools for video networking, ad targeting, content discovery, and metadata enrichment.

    8. Amazon Prime Video AI Enhancements – AI-powered live sports features for broadcasts, offering predictive insights, real-time play analysis, and advanced threat detection.

    9. New AI Student Pack – Bundle offering 16+ EdTech, productivity, and wellness AI tools, either free or heavily discounted.

    10. Apertus – Open-source multilingual large language model built with transparency in mind, covering a wide range of languages.

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