Watermelon
AssessPlatforms
Meta’s internal in-training AI model reportedly claimed to match GPT-5.5 on benchmarks.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 33%.
Evidence (2)
- 7The New Stack·8/5/2026researchMeta uses engineer code fixes to train internal AI coding tools
Meta is asking engineers to submit code fixes made while using its internal coding agent, MetaCode, so those corrections can help train and post-train future models. The effort has already produced more than 800 fixes from 7,000 weekly active users, and Meta says the data has improved Muse Spark 1.1 and will help train an upcoming model codenamed Watermelon.
- 6The New Stack·7/8/2026researchMeta Claims Its Internal Model Caught Up to OpenAI, but Offers No Benchmarks
Meta AI chief Alexandr Wang reportedly told staff that the internal model codenamed Watermelon has matched OpenAI’s GPT-5.5 on unnamed benchmarks. The claim was presented without benchmark details, model cards, or reproducible evaluation data, leaving it unverified.