Feels like inside most companies / tech companies, the vast majority of AI spend is coding-related (and spent by devs… in a few hedge funds, traders/quants also spend big time)
I wonder if this will change? Or is coding uniquely suited to being a long-running task thanks to all the validation loops it can do, and prove that whatever is produced is correct in ways we can programmatically test?
