A brief history of VCs asking founders about their education before investing:
2010: "which college did you graduate from?"
2015: "which college did you go to?"
2020: "did you go to college?"
2026: "you dropped out of the 9th grade? why'd you start so late in life?"
@NPH_On_X@austin_rief I think specifics of this document have some elements that can be seen as concerning. However, a document to explain the quirks of what itโs like to work with you and how you operate - I typically find that to be very valuable.
@HarryStebbings I think the way to go here is to dump your voice note into ChatGPT and get a summarized output. It takes one extra second, but saves everyone quite a bit of time
@natfriedman AI assistant. Something that Humane and Rabbit have tried to build but have not yet succeeded in. Once we get something like that working, it will be huge
@JustAnotherPM Understand the product. Understand power structure at the company. Learn the craft. Some new PMs think that you just have to be brash and โCEO of product.โ Learn frameworks, technical awareness, design understanding, communication skills, project mgmt skills, etc
Ladies, if he:
- requires lots of supervision
- and a lot of re-iterating
- forgets things catastrophically
- can be easily bribed
- tends to be lazy
- can be easily fooled
He's not your man; he's a large language model
In AI, the ratio of attention on hypothetical, future, forms of harm to actual, current, realized forms of harm seems out of whack.
Many of the hypothetical forms of harm, like AI "taking over", are based on highly questionable hypotheses about what technology that does not currently exist might do.
Every field should examine both future and current problems. But is there any other engineering discipline where this much attention is on hypothetical problems rather than actual problems?