[joj123]

(Author of the newsletter here) It's early days, but the simplest use case has been to improve employee productivity (Github Copilot, ChatGPT etc.). The Stripe CEO just tweeted that over half of their employees are using an internal LLM tool they built (folks who build internal tooling know how hard it is to drive adoption to a non-mandatory tool): https://twitter.com/patrickc/status/1681699442817368064?s=20

There are other companies which are doing some crazy experimental things which may have a large impact. For instance, Truveta is cleaning up on millions of medical records, training a model on that data and using that to drive research about patient care. Too early to tell if LLMs will actually transform companies beyond slight bumps in productivity, but to me, it feels like the cloud computing moment from 12-15yrs ago.

[f6v]

> It's early days, but the simplest use case has been to improve employee productivity

Does anyone know if the impact has been properly measured? It’s one thing to say that “developers are more productive” and another to really have faster feature delivery (or any other metric).

[kristianp]

The Stripe tool is probably just a chatbot built on openAI's API? Avoids the privacy concerns of using chatgpt.

[pigeons]

How does this address the privacy concerns? OpenAI could still accidentally provide your data to other users, they could retain, sell or misuse it despite agreeing not to, or a rogue employee or an intruder could do so, or they could be forced to do so by a court order, etc.

[kristianp]

There are privacy concerns with using ChatGPT, as data is collected by openai - opt out. Using the API has less privacy concerns as it is not used for training by openai.

[joj123]

I have no idea what they have built. Hope they talk about it though :)