Main gig: I build models to predict what critical minerals are under the earth's surface.
Side gig: I am building app for Australian immigrant excellence
I built an app that tells migrants whether their occupation is even moving in Australia’s visa queue. 800 signups. then realized the updates come once a month and half the time they’re not even relevant. could’ve been an ig post honestly. almost deleted it. didn’t want to be that founder who traps anxious people in an app just for a retention number. these are people who left everything to build a new life in a new country. i was one of them during covid: got an employer to sponsor me, then the state. jumped companies chasing raises, landed in teams where i had no idea what i was doing, and came out stronger every time. nothing special about me. but i needed someone to tell me what was possible back then, and nobody did. so i’m not deleting it. i’m figuring out what it actually is.
overheard from friends talking about AI in China, and it’s very alarming
- AI short films went massive in China market because of how good the video models are now
- the first wave of people who mastered using AI to generate short films and comics made quite some money because they could produce a lot more content than traditional workflows
- but within just a few months, everybody and their mom could make equally good short films because all the expertise could be written in a markdown file
- when everyone’s more productive, no one actually has an advantage and it’s a race to the bottom. very quickly it became impossible to make money, and everyone’s busier than they were without AI
- the only one making money now is companies like bytedance who owns user demand and distribution. they sell ads to creators who pay to get traffic, and eventually ad spend became 80% of those creators’ operating expense, while AI tokens is less than 5%
so what are the problems here?
1. there’s no moat if you are creating anything with AI
if a human is really good at something, and it’s hard to find more humans who can do the same, they can leverage the scarcity of their skill to get paid very well
but if AI is good at something, it will be infinitely replicated, so there’s no scarcity hence you can’t really expect a sustainable business by creating anything with AI
2. more creators created more content people actually liked. that’s a good thing
but the economical benefit of that all got absorbed by the distribution platforms
there’s a famous chinese poem 遍身罗绮者,不是养蚕人 - it basically says people who dress well aren’t the people making dresses. that’s exactly what’s happening here
if our society doesn’t figure out a better way to distribute wealth, AI will help billionaires become trillionaires while average people become more exhausted than ever
@mmorgan695 Heyy good to see someone on the same timeline as me, let’s connect!
Main gig: I build models to predict what critical minerals are under the earth's surface.
Side gig: Also building migration tech app for Australia and sharing lessons learnt (product and technical learnings)
@brianoliveri Main gig: I productionise SOTA ML/AI research into prod models to predict what critical minerals are under the earth's surface.
Side project: Also building migration tech app for Australia and sharing lessons learnt (product and technical learnings)
@TTrimoreau We are building software that maintains itself - look into posthog (product funnel analysis + automated fix) and sentry (application bug tracker + automated fix)
Starting to roll out today: Claude Whiteboards, Claude Sheets and Claude Data.
Think a plan through on a board, build a tracker in a sheet, and tell a story with your data.