Re:Microsoft – Open Weights and American AI Leadership
by mwigdahl on Friday July 24, 2026 @04:21PM
(#49041134)
The fully loaded cost of employees at that salary level is likely over $100K. You may still be right on the relative expenses, but you can't just look at the top-level salary line.
[ Parent
| on HN ]
Re:Microsoft – Open Weights and American AI Leadership
by DrewADesign on Friday July 24, 2026 @04:41PM
(#49041318)
There are a lot of unknowns. It will probably be harder to get an acceptable quality outcome in most fields than in the text-based, limited vocabulary, comparatively highly structured, granularly documented, relatively unambiguous world of code. For the ones where it’s even possible with our current approach, the economics might not even be feasible to provide the service. Based on how much money these companies need to start making to keep the infrastructure running, let alone expanding, we just don’t know what the landscape will even look like in a couple years.
Re:Microsoft – Open Weights and American AI Leadership
by monster_truck on Friday July 24, 2026 @04:48PM
(#49041389)
??? These are not unknowns. It is pretty well documented how much more an employee costs over their outright comp
Re:Microsoft – Open Weights and American AI Leadership
by DrewADesign on Saturday July 25, 2026 @01:43PM
(#49049789)
You seemingly misunderstood what I deemed unknown. It definitely wasn’t that.
Re:Microsoft – Open Weights and American AI Leadership
by hangrybear666 on Friday July 24, 2026 @08:24PM
(#49043267)
Also most people building these things are engineers and coders, what they know best is code. So naturally this aspect develops at an elevated speed. Getting non-tech experts to build a cutting edge tech product does not sound intuitively feasible.
Re:Microsoft – Open Weights and American AI Leadership
by DrewADesign on Saturday July 25, 2026 @01:41PM
(#49049768)
Maybe to some extent, but with the way LLMs work, code generation is about as ideal of a use case as you get. Especially given the available training data.