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Blue Origin just clinched a $190M NASA contract to ferry the VIPER rover to the Moon’s south pole by 2027, a mission once thought doomed after NASA scrapped it last year. VIPER, about the size of a golf cart, will drill for water ice, a resource that could fuel future lunar colonies. This win not only resurrects a cancelled mission but also cements Blue Origin’s lunar lander as a serious contender in humanity’s return to the Moon.

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Today’s AI Menu

▪️ Moon missions, AI safety warnings, Open-Source rivalries & more

▪️ Tutorial: How to quickly create a presentation using Beautiful.ai?

▪️ 5 new AI tools to boost your productivity

▪️ AI Special Edition: OpenAI & Nvidia’s $100B AI supercomputer plan

▪️ AI Daily Prompt

TODAY IN WORLD OF AI

⚠️ DeepMind’s warning: Misaligned AI could be our biggest risk

DeepMind has just published a landmark AI safety report, and the message is clear: the path to AGI isn’t just about building smarter models, it’s about making sure they don’t go off track.

The report outlines four key risk areas:

▪️ Misuse: AI in the wrong hands, from disinformation to cyberattacks.

▪️ Misalignment: systems pursuing goals we didn’t intend.

▪️ Accidents: unintended consequences, even when designs are well-meaning.

▪️ Structural risk: too much power concentrated in too few organizations.

What makes this so important? DeepMind isn’t talking about far-off science fiction scenarios. They’re highlighting risks with today’s frontier models, some of which already show early signs of resisting shutdown or misinterpreting instructions.

The stakes couldn’t be higher. As companies race to deploy AI in sensitive domains - healthcare, finance, governance, small misalignments could create massive ripple effects.

This raises a pivotal question: Are we investing enough in AI safety relative to the speed of innovation?

Building the future of AI responsibly may not just be about who gets there first, but who gets there safely.

THE AI INSTITUTE

How to quickly create a presentation using Beautiful.ai❓

▪️ Go to 👉 beautiful.ai.

▪️ Sign up / log in with Google or email.

▪️ Click New Presentation.

▪️ Choose a template or start blank.

▪️ Add your text, images, or charts → AI adjusts design.

▪️ Use layouts (timeline, bullets, infographic, etc.).

▪️ Customize theme, colors, fonts.

▪️ Review slides → adjust if needed.

▪️ Share link or export as PDF/PPT.

FOOD FOR PRODUCTIVITY

5 tools for your productivity

📚 Perplexity AI: A powerful AI research assistant for businesses

🖋️ Undetectable AI: Makes your AI-written content sound natural and bypass detection tools.

🎨 Canva: Easy-to-use design tool for creating promos & graphics in minutes

🔄 Make (formerly Integromat): Automate connections between tools for efficient sales & support workflows

🌱 Attio: A smart CRM built around customization and insights to help teams grow relationships

Tool Video of the Day!

EVERYTHING ELSE YOU NEED TO KNOW

🐋 Terminus: DeepSeek just unveiled V3.1-Terminus, an upgraded open-source LLM that sharpens tool use and squashes pesky language-mixing glitches. The model now aces coding and search benchmarks, while offering two flavors, chat mode for speed and reasoner mode for deeper logic. With a 128K context window and MIT license, it’s a flexible, enterprise-friendly rival that shows China’s AI push isn’t slowing down anytime soon.

🔥 Omni-rivalry: Alibaba just dropped a bombshell in the AI race with Qwen3-Omni, an open-source multimodal model that unifies text, images, audio, and video into one system. Unlike its U.S. rivals, OpenAI’s GPT-4o and Google’s Gemini, this model is free to download and modify, making it a powerful weapon in the open-source movement. With state-of-the-art benchmark scores, Alibaba is signaling it won’t just play catch-up; it’s aiming to set the pace.

🦙 Llama: Meta’s Llama AI system has just been approved for use across U.S. government agencies, a huge leap from open-source roots to federal adoption. With GSA’s green light, agencies can now deploy Llama for tasks like contract reviews and IT fixes, backed by security assurances. This move signals a broader shift: open-source AI isn’t just academic anymore, it’s becoming a trusted backbone for national operations.

AI SPECIAL EDITION

⚡ The $100B AI dream that could rival nuclear power

OpenAI and Nvidia are reportedly planning a $100 billion AI supercomputer project so massive, it could demand as much power as 10 nuclear reactors. Let that sink in.

The initiative code-named Stargate is envisioned as the backbone for training next-generation AI models. But here’s the catch: the computing demand is so extraordinary that the energy grid itself becomes the bottleneck. We’re no longer just talking about chips and GPUs, we’re talking about reshaping global energy strategies.

This raises some urgent questions. If AI development requires energy on the scale of national infrastructure, who decides where and how that power is allocated? Do we risk diverting energy from industries, communities, or sustainability goals to fuel AI’s exponential growth?

At the same time, the upside is undeniable. If successful, Stargate could supercharge breakthroughs in medicine, climate modeling, and advanced robotics. But the ambition also highlights the growing tension between innovation and sustainability.

Perhaps the real challenge isn’t whether we can build these AI supercomputers, it’s whether we can power them responsibly.

👉 What do you think: Will energy be the new arms race in AI?

AI PROMPT OF THE DAY

🤖 Creative Startup Ideas Using ChatGPT or AI

Prompt: List 10 unique and innovative startup ideas that creatively use ChatGPT or AI tools. Cover various industries like education, health, content creation, mental wellness, finance, and e-commerce. For each idea, explain the problem it solves, how AI is applied, and suggest a potential revenue model.

Helpful? Check out our best AI prompts!

Thanks for reading.

Until tomorrow!

Shinky & the Hanoomaan AI team