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OpenAI’s GPT-5.2 just scored 77% on Olympiad-level science questions but only 25% on open-ended research tasks.
Even the best AI excels at structured problems yet struggles when asked to find something truly new.
The next year in AI will feel quiet at first.
New models will keep stretching what feels possible.
Then one moment will make everyone realize something fundamental changed.
Most people still think AI is a tool.
Sam Altman just made it clear: GPT-5.2 is already performing at expert level on most knowledge work tasks.
That changes the question from “should we use AI?” to “where should it be doing work inside the business?”
Companies answering that correctly will move faster than the rest.
@haider1 That is a very fair point though. It needs to be regulated sooner rather than later. As much as I am an Ai enthusiast, there is going to be far too much power in some of these future models given to the public.
@davidpattersonx Agreed.
The threshold isn’t “better than humans at everything.”
It’s better than humans at enough core tasks to compress entire professions.
2026 feels like the inflection point for that.
Meta is developing a new AI model code-named Mango, reportedly focused on image and video generation.
It’s expected to launch sometime in 2026 and is part of a broader effort inside Meta to expand its multimodal AI capabilities beyond text.
Alongside Mango, Meta is also working on a separate model aimed at improving text reasoning and coding.
Worth keeping an eye on as visual and multimodal systems continue to become more central to how AI is deployed.
A lot of AI debates focus on what might happen.
The more interesting question is why so many people haven’t meaningfully benefited from what already exists.