AI Projects
topic on 4 shows · 4 statements across 4 episodes
BG2 Pod 
the MAD Podcast 
Big Technology 
20VC
4 statements about AI Projects, every show
Feldman: Many AI projects fail due to bad data, not AI
“I think most, many AI projects fail on those fronts. Have nothing to do with the AI. They fail because the data was a disaster.”
Levie: Non-tech enterprises building custom open-source AI is a recipe for disaster
“Open source is insanely valuable, but not in the sense where a law firm should go off and build their own AI project using an open source model. Like, That, that is just a recipe for disaster if, you know, we think that, that every single company on the planet…”
Gurley: Enterprise Projects Often Relegate LLMs to Mere Database Interpreters
“A lot of the incremental work that's being done on AI projects are Stitching together external databases with the LLM and the LLM gets relegated to being an interpreter of the human or to being the interpreter of the data back to the human, but is not involved…”