alt Hacker NewsIs AI development hitting its limits?
The performance changes between models are almost static. Recently, GPT has shifted almost entirely toward token efficiency.
Astra is good at making 3D assets, but realistically its coding was not as good as GPT 5.6 Sol.
Have we reached a point where getting better at one thing means starting to get worse at another?
This announcement is the worst one yet.
Nerfing existing usage A more expensive top-tier plan Showing off how slow Dots is right in the demo video And GPT Space—are they telling us to use it instead of Notion or what...
Overall, throughout the entire announcement, everything OpenAI wants me to look forward to just leaves me, as a developer, disappointed.
Yep. It's hitting limits because models have effectively reached the logical endpoint of how "precise" their outputs can become. In order to overcome this they need to either a) get excellent at outputting and working with massive codebases (10+ million loc) since a singificant % of systems simply cannot be done in less than that (the language itself isn't expressive enough) or b) reach the next stage of intelligence where the models are somehow able to output sequences that can solve vast complex problems with a very narrow output. Option b isn't really possible (various statistical/computational fundamental limitations forbid it) and option A is _insanely_ expensive. Which is why all of the demos the frontier labs have been pushing out are either really impressive one shot demos where the model is able to take a concise input and produce something great on its own, or very long running internal sessions where they claim to do something vast with minimal oversight (NavierStokes, C compiler, Bun rewrite).