3 ms·
That's true for driverless cars but there's many areas where you don't need 100% to be useful. Stable diffusion and LLMs are 90% there but still very useful and
by naillo 3y ago
That's true for driverless cars but there's many areas where you don't need 100% to be useful. Stable diffusion and LLMs are 90% there but still very useful and cool.
- Tanjreeve 3y agoMost of those areas don't normally have a lot of value or you're marginally improving on existing recommendation systems. It's a coin toss on how much of an improvement this wave of LLM powered ML systems will have over the previous wave of "enterprise knowledge collation" systems and if that will be enough for people to buy them.
- cstejerean 3y agoPeople seem to be buying them already, looks like OpenAI is now pulling in $80M per month in revenue.