๐Ÿš€ Navigating the AI Plateau: The Next S-Curve in AI Innovation ๐Ÿš€

Imagine asking an AI for pizza advice, only to have it suggest using glue for cheese! ๐Ÿคฆโ€โ™‚๏ธ Such quirks highlight current AI limitations. As the article โ€œThe 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.

๐Ÿ” The AI Plateau: Weโ€™ve 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.

๐Ÿข Proprietary Business Data: Zoomโ€™s 55 billion hours of meeting minutes, Ironcladโ€™s billion documents, and Slackโ€™s billion weekly messages are goldmines for the next AI breakthroughs. This data, produced in work contexts, holds the key to higher-quality AI training.

๐Ÿ”‘ 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 AIโ€™s potential, businesses must own their models, protecting their competitive edge and advancing with human-centric attributes. ๐ŸŒŸ

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