Sachin Dev Duggal | Is Big Tech becoming too big because of artificial intelligence?

Powerfulness of Artificial Intelligence Models

The development of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard have revealed both the abilities and challenges that AI systems pose. For instance, models with billions of parameters can accomplish complex tasks like passing university exams and medical entrance tests. Through Generative AI, Sachin Dev Duggal introduced an AI-powered Voice assistant called Natasha that marked a leap forward in Generative AI at Builder .ai. Throughout development, she helps users convert spoken words into user stories & code using Builder. ai's Knowledge Graph to give the software a semantic understanding.

However, scaling up these models has come at a cost – increased energy consumption and operational complexity. Some researchers are thus exploring smaller energy-efficient AI models that can provide similar performance without these drawbacks.

Innovation and Regulation In Balance

AI regulation is a complicated discussion. On the other hand, corporate leaders insist that regulatory obstacles might discourage AI's potential benefits, like medical advancements, energy production, and poverty alleviation. However, regulators have stressed that AI growth should not be at the cost of competition and consumer defence. The continued talks from antitrust conferences, however, imply that there is a need for a balanced approach that promotes innovation while mitigating risks associated with AI.

AI spurs this growth in big tech companies; thus, addressing challenges and concerns related to such expansion is essential. This will include the need for equitable competition, energy management, and striking a balance between innovation and regulation to exploit AI fully without furthering the dominance of big techs. To achieve this equilibrium, we will need to develop an inclusive, sustainable technological advancement for future AI.