OpenAI has a new math champion. GPT-5.2 Pro just set a record on the notoriously difficult FrontierMath benchmark, according to testing by Epoch AI. The model hit 31 percent on the hardest tier (Tier 4) - a major leap from Gemini 3 Pro's previous best of 19 percent. Epoch AI ran the tests manually through the ChatGPT website because of API issues.
GPT-5.2 Pro scored 31 percent on FrontierMath Tier 4, outpacing Gemini 3 Pro (19 percent) and GPT-5.2 xhigh (17 percent). | Image: Epoch AI
GPT-5.2 Pro cracked 15 of 48 tasks, including four problems no model had solved before. Several mathematicians gave the solutions mostly positive reviews, though some criticized the lack of precision in certain explanations.
Google Photos is rolling out a new AI feature called "Me Meme" in the US. The tool lets users create personalized memes using their own photos. Users pick a template from the available options or upload their own image, then add a photo of themselves. Google's generative AI combines these to create a meme that can be saved or shared on other platforms.
Google's Me Meme feature turns your photos into personalized memes using generative AI. | via X
The feature is available in the Google Photos app under "Create." Google hasn't said when Me Meme will launch outside the US. More details are available on the Google support page.
An OpenAI developer known by the pseudonym "roon" has a blunt prediction for the future of software development: many developers at software companies will soon openly admit they no longer fully understand the code they're submitting. Eventually, this will cause system failures that are harder to debug than usual but will still get fixed in the end, roon writes, adding that he doesn't "write code anymore."
OpenAI developer "roon" predicts a cultural shift where programmers "declare bankruptcy" on understanding their own code. | Screenshot via X
The prediction cuts to the heart of an ongoing debate: Is AI-assisted programming a fundamental shift in how developers work, or a risky breaking point? Some enthusiasts point to massive productivity gains, while critics fear growing dependencies and bugs that slip through undetected.
Microsoft-Tsinghua team trains 7B coding model that beats 14B rivals using only synthetic data
Researchers show that an AI model trained on synthetic programming tasks alone can beat larger competitors. A key finding: task variety matters more than the number of solutions.
Google Deepmind goes on acquisition spree with three AI deals in one week
Google’s AI shopping spree reveals a well-known playbook for expanding market power: instead of outright acquisitions that trigger antitrust scrutiny, the company is scooping up top talent, licensing key technologies, and forging strategic partnerships with former employees.
