AURORA INSIGHTS
AURORA INSIGHTS
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Never Neutral: How Anthropology Can Shape the Future of AI
AI is a cultural force, deeply intertwined with the human experience. Despite decades of technological advancements, one constant remains—humans and the cultures they bring.
Drawing on the groundbreaking research of Dr. Diana E. Forsythe1, an anthropologist who studied AI labs in the 1980s and 1990s, this article explores how cultural and social dynamics shape AI development and why anthropology is essential for creating better, more inclusive systems.
Evaluating Low-Risk AI Systems: A Responsible Adoption Approach
Among its various branches, generative AI stands out for its ability to empower organizations and individuals in daily tasks. The integration of AI across diverse functions is becoming standard practice, with enterprise adoption significantly influencing its acceptability. Approximately 85% of AI systems are anticipated to be classified as low-risk or no-risk, yet trust in these systems remains a critical challenge.
DeepSeek: Smaller, Cheaper, Better?
With the cost of over $100 Million for training GPT-4, not many enterprises can compete at this budget level. But what if there was a model that cost under $6 Million to train that matches GPT-4o’s performance? Enter: DeepSeek.
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?
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.