Bob Rosin’s Post

Loved the use cases you called out. I think while a lot of attention is paid to the Content-generating and Copilot sides of AI, there's not a lot of attention to the Conversational (maybe Companion?) innovations in AI. Inflection AI's Pi really impacted me in this way. While ChatGPT (and yesterday's multimodal demos of Gemini) always impresses, I found Inflection was one of the first products to affect how I emotionally felt about AI. (I had a great opening conversation about my son, what we did on holiday, and some topics about parenting that were amazing). It built trust and engagement rapidly, even if precision/accuracy wasn't as strong as some of the other models (maybe it was the cool British accent). And it's not just about voice -- it's the sentiment and context analysis powering it that is so meaningful. Advances with AI in health care, as an example, require a deft touch. Bedside manner means something. Having just used AI on Bard and OpenAI to help my parents navigate some urgent and complex health care matters, I know a stronger Conversational AI could've made it a more transformative experience. The intersection of vertical use cases with the right interface and conversational AI gets me starry-eyed.

Solid - some of the use cases seemed a bit generic, but aircover.ai looks interesting. That’s an area we’re investing in.

Bob great article, I of course love the analogy of current state of AI applications to driving in Autopilot mode. We see our AI being applied in the high risk/cost for a bad decision made compounded with high volume of decisions required to be made - so lot of opportunity to make a mistake and pay the price.  For our customers - Lots of tires to be checked, not enough people to check them, not enough resources to make an informed decision…everyday. To your last point in the article, we are observing more emphasis on human to human relationship building/leveraging when AI is already doing the data collection, analysis, and decision making. Perhaps AI will makes humans focus on the thing we are best at..being human? 

There are numerous fascinating use cases for AI in agriculture as well. Helping farmers improve efficiencies and yields to meet growing global demand is a massive and important task. Innovative AI products are in development for applications ranging from soil health optimization (including carbon sequestration), pest management, yield mapping, irrigation to livestock health.