This wasn’t an AI using tools, plug-ins, or external calculators. This was a pure language model, solving IMO-level math problems that normally require hours of deep, abstract reasoning. No symbolic engines and no external workflows, it was the model itself, thinking from start to finish. That matters because it shows the model isn’t just memorizing answers or predicting surface level patterns. It is now capable of internally generating entirely new ideas, following complex logical paths, and building multi-step arguments the way a human mathematician would. When a model can create balid solutions to problems it has never seen before, without external help, that is not just intelligence, its also creativity. It signals the ability to produce original thought, not just remix what it has been trained on.
NinjaLanternShark on
I feel like terms like thinking, reasoning, creativity, problem solving, original ideas, etc are overused and overly vague for describing AI systems. I’m still not sure what’s fundamentally different here other than “got the right answer more often than before…”
FreeNumber49 on
Let me know when hunger, crime, disease, climate change, environmental destruction, inequality, racism, sexism, religious extremism, discrimination, homophobia, asteroid avoidance, volcano eruptions, tsunamis, ecological collapse, extinction, education, pandemics, food distribution, or any number of hundreds of issues are actually addressed by AI. I won’t hold my breath since anyone with a pulse knows this is another pump and dump like crypto.
ExplorerNo1496 on
Well how will this change AI practically especially for research
4 Comments
Submission statement:
This wasn’t an AI using tools, plug-ins, or external calculators. This was a pure language model, solving IMO-level math problems that normally require hours of deep, abstract reasoning. No symbolic engines and no external workflows, it was the model itself, thinking from start to finish. That matters because it shows the model isn’t just memorizing answers or predicting surface level patterns. It is now capable of internally generating entirely new ideas, following complex logical paths, and building multi-step arguments the way a human mathematician would. When a model can create balid solutions to problems it has never seen before, without external help, that is not just intelligence, its also creativity. It signals the ability to produce original thought, not just remix what it has been trained on.
I feel like terms like thinking, reasoning, creativity, problem solving, original ideas, etc are overused and overly vague for describing AI systems. I’m still not sure what’s fundamentally different here other than “got the right answer more often than before…”
Let me know when hunger, crime, disease, climate change, environmental destruction, inequality, racism, sexism, religious extremism, discrimination, homophobia, asteroid avoidance, volcano eruptions, tsunamis, ecological collapse, extinction, education, pandemics, food distribution, or any number of hundreds of issues are actually addressed by AI. I won’t hold my breath since anyone with a pulse knows this is another pump and dump like crypto.
Well how will this change AI practically especially for research