Trace Cohen
57.5K posts

Trace Cohen
@Trace_Cohen
Backing founders early in AI & deep tech | US + Israel | 75+ angel investments | Ex-founder, ex-Amex fintech | Columbia MBA | Data/Building ValueAddVC . com




I’m fully forward deployed engineering pilled specifically because AI simply is not the same as software. In software, you deliver a stable piece of technology to a customer and they adopt it and that’s that (extreme over simplification). In AI, you’re delivering something that is constantly evolving both due to the nature of the new capabilities and best practices that emerge, but also because the underlying models change so much that they can meaningfully change the workflow as a result of their upgrades. For this reason it’s far more logical that one vendor can share best practices across thousands of companies more efficiently than every single company can learn and manage these best practices themselves. Further, the learnings from those customers should go right back into the core product as a result. As we go from chat systems to anyone can relatively easily adopt to agentic systems that require more meaningful efforts to manage and update, the FDE model (or equivalent) essentially becomes a core competency for anyone deploying AI at scale.



Scoop: OpenAI announced another major reorg on Friday, as part of its effort to unify ChatGPT and Codex. -Greg Brockman is officially taking over OpenAI's products, after previously being tapped as an interim leader -Head of Codex, Thibault Sottiaux, is now leading core product and platform -Head of ChatGPT, Nick Turley, is now also going to work on revamping enterprise products





Basically Palantir invented the consultant 2.0 and called it Forward Deployed Engineer because they had to send their brilliant A+ talent to go implement their A+ tech in a F to B work environment. This is what every company needs to do for enterprise adoption















