Imagine asking an AI for pizza advice, only to have it suggest using glue for cheese! ๐คฆโโ๏ธ Such quirks highlight current AI limitations. As the article โThe AI Plateau Is Real โ How We Jump To The Next Breakthroughโ explains, technological progress often follows an S-Curve, with rapid innovation eventually hitting a plateau.
๐ The AI Plateau: Weโve seen phenomenal growth since the launch of ChatGPT in 2022, but recent improvements have been incremental. To leap to the next S-Curve, we need access to proprietary business data. Unlike the harvested public data, business data is richer and more valuable.
๐ข Proprietary Business Data: Zoomโs 55 billion hours of meeting minutes, Ironcladโs billion documents, and Slackโs billion weekly messages are goldmines for the next AI breakthroughs. This data, produced in work contexts, holds the key to higher-quality AI training.
๐ Opportunities for Startups:
1. Engage Experts: Source high-quality training data from field experts.
2. Leverage Latent Data: Help businesses prepare and connect internal data.
3. Capture in Context: Seamlessly capture new data without disrupting workflows.
4. Secure the Secret Sauce: Enable enterprises to create and deploy custom models to protect proprietary IP.
The path forward is clear: to truly harness AIโs potential, businesses must own their models, protecting their competitive edge and advancing with human-centric attributes. ๐
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