Logan Kilpatrick

The next phase of AI product development will move beyond chat interfaces into multimodal and new UX paradigms like infinite canvases.

"I'm really, really excited to see more people. I think 2024 is the year of multimodal AI, but it's also the year that people really push the boundaries of some of these new UX paradigms around AI."

AI strategy is shifting from immediate chat responses to 'agents' that can perform asynchronous, complex tasks.

"I think GPTs is our first step towards the agent future. Again, today when you use A GPT, it's really you send a message, you get an answer back almost right away... I think as GPTs continue to get mo..."

Product roadmaps should be designed for the predicted capabilities of future models rather than being constrained by current model limitations.

"I heard from a friend that there's kind of this tip that when you're building products today, you should build towards a GPT-5 future, not based on limitations of GPT-4 today."

The biggest opportunity for AI products is replacing complex dashboards and filters with direct, data-grounded natural language answers.

"I think products that move beyond this chat interface really are going to have such an advantage. And also, thinking about how to take your use case to the next level... What I really want is just ask..."

AI provides the highest immediate ROI in software engineering by automating routine tasks.

"I think engineering is actually one of the highest leverage things that you could be using AI to do today and really unlocking, probably on the order of at least a 50% improvement, especially for some..."

Prompt engineering is essentially the art of providing sufficient context to an intelligence that lacks it.

"My whole position on this is prompt engineering is a very human thing. When we want to get some value out of a human, we do this prompt engineering. We try to effectively communicate with that human i..."

Models respond to human social cues (like smiley faces or 'taking a break') because they are trained on human communication patterns.

"There's a lot of really small silly things, like adding a smiley face, increases the performance of the model... telling the model to take a break and then answer the question... because the corpus of..."

Embeddings are the primary mechanism for grounding LLM responses in empirical facts and specific knowledge bases.

"You take all of the corpus of knowledge. You take all the recordings, your blog post. You embed them, and then when people ask questions, you can actually go in and see the similarity between the ques..."

The GPT Store platform strategy is about democratizing the creation of complex AI tools for non-coders.

"What's been most exciting to me, actually, is the non-developer persona is now empowered to go and solve these really, really, really more challenging problems by giving the model enough context on wh..."

A Slack-heavy culture can be a competitive advantage for rapid cross-functional coordination.

"OpenAI has such a slack heavy culture and it really... The instantaneous real time communication on Slack is so crucial. And I just love being able to tag in different people from different teams and..."

In resource-constrained environments (like GPU scarcity), team size should be kept small to avoid productivity dilution.

"In a world where you're constrained by the amount of GPU capacity that you have as a researcher... each new researcher that you add is actually a net productivity loss for the research group unless th..."

Prioritize high agency and urgency over consensus-seeking when hiring for fast-moving environments.

"Finding people who are high agency and work with urgency, if I was hiring five people today, those are some of the top two characteristics that I would look for in people because you can take on the w..."

A culture of speed is built by hiring individuals who prioritize action over consensus.

"Finding people who are high agency and work with urgency is one of the most... if I was hiring five people today, those are some of the top two characteristics that I would look for... People just go..."

North Star metrics should be understood as proxies for the ultimate mission-critical resource (e.g., compute for AGI).

"Even if revenue is a goal, it's like revenue is not actually the goal. Revenue is a proxy for getting more compute, which is then actually what helps us get towards getting more GPUs so that we can tr..."

Prioritize roadmap items based on their alignment with the core mission (e.g., AGI) rather than short-term engagement metrics.

"One, going back to the mission, is this actually going to help us get to AGI? So there's a huge focus on there's this potential shiny reward right in front of us, which is optimize user engagement......"

Custom GPTs can be used as 'planning coaches' to ensure consistency and rigor in goal-setting processes.

"I've personally used a GPT, the private GPT that I use myself that helps with some of the planning stuff for different quarters, and just making sure that I'm being consistent in how I'm framing thing..."

To avoid direct competition with OpenAI, builders should focus on vertical, domain-specific applications rather than general-purpose assistants.

"I think where you start to get into some of these very vertical applications... our models are probably never going to be as capable as some of the things that Harvey's doing because our goal and our..."