@businessbarista@da_fant Companies are a lot more human than codebases. The transformation has to happen at a worker and team level before it will happen across the company.
@chadboyda@claudeai Yes! It was rarely about the full context window. But follow on and more complex multi step tasks became possible with higher quality.
@mustafasuleyman Feels simpler to say AI should have the equivalent of a warning label for certain use cases than open a philosophical debate about consciousness.
@MatthewBerman Confident call out of what you want.
Eg Bitters and soda, soda splash cranberry, an Athletic or something like it. Let the person asking do the math you donโt want alcohol.
Notion, Otter, and Granola will compete for meeting data in the mid market and AI native startups.
Microsoft, Zoom, Google, and Slack will retain their leadership in the enterprise with meeting data.
I am betting my career that the biggest opportunity is at the aggregation, orchestration, and analysis layer of enterprise meeting data.
https://t.co/KNAn8NhSX2
This was not your average podcast. @jefielding has known me for over a decade and really dug in to what drives me as a founder and why I wanted to go on this journey again. From meeting each other at Dogpatch Labs in New York's tech scene early days to our current relationship as co-founder and investor, I shared my inspiration behind Fora and what it's like being wired as a founder.
Thanks to @EverywhereVC for providing such a strong platform and supporting your founders.
Venture Everywhere Podcast EPS69: @essenfeld chats with @jefielding about https://t.co/0whBzNvN0A, communication intelligence for the enterprise.
Listen๐
Apple:https://t.co/oL31cq02Aw
Spotify:https://t.co/39skDRBway
YT:https://t.co/0ftQUpSc5X
Transcript:https://t.co/L6Ahi389oy