OpenAI is currently charging 100,000 times less per line of code than professional US devs.
An LLM's code output is of course less reliable than a professional's. And it is hard to use a text-completion API effectively in large projects.
What should you do if you've got a model on your hands that solves those problems?
You could operate as a software development company. They tend to charge $100-200k for simple mobile apps and there's basically no ceiling on the cost for complex apps over their lifetime. Devs make up the majority of a normal firm's personnel and costs; coding takes most of the app development time; bugs in code are one of the primary sources of project extension and failures. By using your model you can make better software, complete it faster, succeed more often, charge a lower price, and make a higher profit.
Going further, if you've really got a good model, then you can do very well by building competitors to adobe products, salesforce products, SAP products, google search, mongodb, etc.
Someone who has a build-anything machine would be a fool to sell a cheap build-anything service instead of using it themselves and selling the result. Particularly because selling the general service directly is likely to encourage and inspire copycats, including open-source ones who will delete your market. If it really builds the entire thing then you'll probably also be liable for negative consequences, which again have no ceiling.
Some common misuse risks you can avoid/reduce (and eliminate associated liability):
Larger risks you can avoid/reduce:
The benefits of selling/publishing derived products and the downsides of offering direct access remain in other domains:
Whether you're a startup, a big commercial lab, an enormous company, a research lab in a university, an independent AI researcher, or a criminal — whatever domain you're working in — whatever your goals — if you possess a uniquely powerful model then you'll likely have greater rewards and fewer risks by putting its products into the world instead of the model itself.
A particularly speedy software dev might type 400 lines of working code in 8 hours. If they cost $100/hour that's $2/line. GPT3.5-turbo costs $0.002 per 1000 tokens, and 40 characters/line ≈ 10 tokens/line = $0.00002 / line. ↩︎
"The actual costs are much higher with a median total app development cost of $171,450." And the GoodFirms article they quote actually has numbers 3x higher than quoted, in the 100-200k range. ↩︎