Like many of you, I’m deeply immersed in learning and using AI. It’s not an exaggeration to say it has been life-changing for me.
Right now, AI is largely synonymous with Large Language Models — ChatGPT, Gemini, Perplexity, Claude (my current favorite), and even Grok. But I suspect that in the not-so-distant future, we’ll look back on these models the way we now look back on the first search engines and portals: Yahoo, Lycos, AltaVista, and AOL. Useful in their day, but just the opening chapter.
The LLM companies are on an extraordinary roll. Yet it’s easy to forget that most of the data on the internet isn’t actually available to them likely less than 10%. LLMs are aggregators of knowledge scraped from publicly available information, supplemented by what they learn from our interactions. Powerful, but inherently limited.
I’ve been thinking for some time about how AI will evolve, and especially how it will become more personalized. So I was excited when my good friend Nick Grouf — one of the founders and managing directors of the Alpha Edison Fund, where I’m a limited partner told me about https://onix.life/
Onix is taking a very different approach to AI — one that focuses less on scale and more on trust. Their newly launched platform, Personal Intelligence®, flips the typical AI model on its head. Instead of relying on large, generalized systems trained on the entire internet, Onix builds individualized AI systems trained on the proprietary knowledge of specific experts. The idea is simple but powerful: rather than an “average answer,” users get guidance rooted in the thinking of an expert they actually trust.
(more…)