I am sharing this so that a 19 year old aspiring entrepreneur today - like me 10 years ago - would know what they are really getting into, avoid painful mistakes and have a better chance at succeeding. https://t.co/oBytq7YDtJ
we are launching a new thing today—images in chatgpt!
two things to say about it:
1. it's an incredible technology/product. i remember seeing some of the first images come out of this model and having a hard time they were really made by AI. we think people will love it, and we are excited to see the resulting creativity.
congrats to our researchers @gabeeegoooh@prafdhar@ajabri@eliza_luth@kenjihata@dmed256
2. this represents a new high-water mark for us in allowing creative freedom. people are going to create some really amazing stuff and some stuff that may offend people; what we'd like to aim for is that the tool doesn't create offensive stuff unless you want it to, in which case within reason it does. as we talk about in our model spec, we think putting this intellectual freedom and control in the hands of users is the right thing to do, but we will observe how it goes and listen to society. we think respecting the very wide bounds society will eventually choose to set for AI is the right thing to do, and increasingly important as we get closer to AGI. thanks in advance for the understanding as we work through this.
it’s been a crazy year.
i’m grateful that we put a tool out in the world that people really love and get so much benefit from.
more than that, i am glad that 2023 was the year the world started taking AI seriously.
Airbnb has a blueprint of their entire customer journey on their office walls.
They then map all product, policy, and service updates to it.
More companies should do this to avoid shipping the org chart.
I had a nightmare last night that I was a founder in Europe and an investor named Hans owned 80% of my company and he kept forcing me to clone Yahoo Finance.
Instrumentation is so hard to get right that data will often deceive you, particularly with questions of product-market fit.
So, how do you know if you have product-market fit? It will be so abundantly obvious that data will be the last thing that is giving you conviction.
Visa seemed like a disaster when it was first launched. The kind of people who attack new things today would have been all over it. From the Wikipedia article:
There’s a weird phenomenon among VCs where the less successful they are, the more evil they become to founders to squeeze more money out of their best startups out of necessity which then becomes a vicious cycle of adverse selection
It keeps happening and I am always amazed
When people copy you, the best strategy is usually to ignore them. People who copy you are (a) unoriginal and (b) opportunists, and those are both strong predictors of failure. If you wait them out, they'll eventually drop away.
There are two types of growth people in tech:
1. Micro-optimizing cocaine-fueled finance-adjacent A/B tester
2. Step-function, is right less than half the time, “what’s an A/B test?” viral K-factor guy
There is a place and a time for each.
The biggest myth about YC is that you need to wait till your startup is far enough along to get accepted. Actually it's easier to get in early. Most of YC's big successes weren't launched yet when they applied, so YC partners have a bias toward that kind of company.
a huge amount of value comes from being able to see what’s coming over the next decade in many different areas of technology and put it together. you can find solutions others can’t.
going deep is good but don’t forget to look wide too!