Search results for Jaya Gupta
AI & Enterprise
AI automation and work assistance cannot coexist. Why?
A new AI model called Jev from TypesafeAI, founded by Diogo Almeida, is drawing attention in tech circles for returning probabilities rather than text. Foundation Capital partner Jaya Gupta described it as a model focused solely on judgment. Almeida, who previously worked at OpenAI and co-developed GPT-4, InstructGPT and ChatGPT, said AI success stories usually involve human-in-the-loop assistance, while automation struggles. He attributed this to RLHF and said pursuing both assistance and automation leads to unstable performance.
AI & Enterprise
Tech Insight: Ambitious scenarios from the great unbundling of intelligence
Foundation Capital partner Jaya Gupta (자야 굽타) says large language models have bundled many functions into a single model, but that bundling is beginning to unwind. She describes a “great unbundling of intelligence” driven by differences in compute needs, performance, latency and cost across capabilities. Gupta says agents amplify the impact of small cost and latency gaps across many steps. She argues judgement models, rerankers and separate search services can replace expensive general models for routine work.
AI & Enterprise
In the AI era, experience can become a burden, not an asset
A provocative argument has drawn attention: in the AI era, experience may become a burden rather than an asset. Foundation Capital partner Jaya Gupta (자야 굽타) wrote on X that experience is no longer a moat and, in many cases, is starting to look like a tax. She contrasts senior and junior generations, arguing senior experience can hinder AI innovation. Gupta says decision-makers often have more to lose from failure, and AI narrows expertise gaps built on past examples.
