
AURORA INSIGHTS
AURORA INSIGHTS
Check back for new articles published every Monday at 9 AM UTC.

Manufacturing and Retail Revolutionized: AI Meets the Metaverse
The metaverse has a wide range of potential healthcare and retail applications. When paired with AI, AR, and VR, it may profoundly improve the medical and retail industry, promote diversity, and more.

Synthetic Data and Privacy: The AI Glow-Up We’ve All Been Waiting For
Synthetic data isn’t always sunshine and rainbows. If the real data used to generate synthetic versions has biases (like hiring patterns that favor certain groups), those bad notions might sneak into the AI’s synthetic learnings. So, we have to ask: Are we bias-proofing these systems?

Regulating AI Not by Fear, but for Common Sense
Many believe that artificial intelligence should not be regulated, fearing it would lead to government censorship. I disagree. While it's true that humans, even in judicial bodies, can make mistakes that harm others, machines are not exempt from this. On the contrary, automated learning systems often inherit biases from their human creators.

What’s Next for AI? 3 Policy Moves Expected from Trump’s Return
In this special edition of Aurora Insights, we explore the possible future of AI regulation in the U.S. by tracing back to Trump’s first term for clues on what might come next.

Big Tech in The White House, a Step or a Leap in the Right Direction?
Big Tech has a problem. In fact, Big Tech has multiple problems. With regulators implementing compliance rules that offer limited data privacy, outsourcing content moderation overseas, and cybercriminal activity on platforms like Telegram remaining rampant, the tech sector has a lot of room for growth when addressing digitally-based sexual violence and exploitation.

Pricing LLMS: The True Cost of Compute
After browsing through the technical paper of Llama 3.1, I came to the conclusion that LLMs are “Larege Luxury Models.” The cost to train these models has increased exponentially over the years and the performance seems to be peaking, it raises the question: is there a more efficient way forward for LLM innovation?

Writing Still Matters
The piece you are currently reading was entirely created by a human. I’m not a betting woman, but I’m willing to bet that you can tell, from these first few sentences, that what you’re reading has not been AI-generated. Humans speak and write with accents. So does AI.

Spatial Intelligence is Helping AI See, Learn, and Do Better
Spatial intelligence is opening up new possibilities in a ton of fields, from robotics to healthcare and beyond. The future of AI isn’t just about seeing—it’s about understanding and becoming a trusted partner in our journey of discovery, innovation, and making the world a better place.
The Balancing Act: Collective Learning in the Age of AI
Over the weekend, I finished Thomas Malone’s landmark Superminds, a deep exploration of collective intelligence in today’s AI-driven landscape. Even though the book was released a few years ago, its core insights around collective intelligence, AI, and organizational dynamics are nothing if not prescient today.

The Silent Revolution in Decision-Making
Leaders in business, government, and beyond are increasingly turning to AI systems powered by synthetic data to navigate complex decisions. This shift represents more than just a technological upgrade—it's a fundamental reimagining of how we approach high-stakes problem-solving.