The future of generative AI is niche, not generalized

ChatGPT has sparked speculation about artificial general intelligence. But the next real phase of AI will be in specific domains and contexts

The hype surrounding generative AI in the past few months has been accompanied by equally loud anguish over the supposed perils. This tumult risks blinding us to more immediate risks - think sustainability and bias - and clouds our ability to appreciate the real value of these systems: not as generalist chatbots, but instead as a class of tools that can be applied to niche domains and offer novel ways of finding and exploring highly specific information.

Key takeaways

• The first shift will be organizations pushing to bring tools trained on large language models (LLMs) to learn from their own data and services;
• If you’re an OTA like Expedia, being able to offer customers a simple way to organize their travel plans is undeniably going to give you an edge in a marketplace where information discovery is so important;
• It's not about societal or industry-wide transformation, but how AI can open up new ways of interacting with large and unwieldy amounts of data and information.

Get the full story at MIT Technology Review