OpenAI inadvertently caused excitement in the cryptocurrency market with the announcement of its new family of GPT-5.6 models. That’s because the names of these models are very similar to some of the most popular digital assets in the cryptocurrency industry.
OpenAI names GPT 5.6 models similar to popular cryptocurrency projects
Sam Altman’s OpenAI revealed three new GPT 5.6 models: Sol, Terra, and Luna on Thursday in a blog post. It prompted social media users to highlight the similarity to Solana (SOL) and the failed Terra (LUNA) chain.
In it advertisement“We have begun a limited preview of the GPT-5.6 series: Sol, our flagship model; Terra, a balanced model for everyday work; and Luna, a fast and affordable model,” OpenAI said.
The company claims that the performance of each of its models falls somewhere between the top-end GPT-5.5 and the less expensive Terra. Meanwhile, Luna is meant to be the entry-level, high-speed, low-cost offering. OpenAI stated that the names are not related to cryptocurrencies but instead refer to different levels of ability.
The naming decision did not go unnoticed by cryptocurrency traders. It has revived some of the most iconic cryptocurrency brands. GPT 5.6’s Sol mirrors the code of Solana’s native cryptocurrency. On the other hand, Terra and Luna They were also the names behind the Terra blockchain ecosystem that collapsed in 2022. At the time, it wiped out tens of billions of dollars in market cap.
About the latest models of artificial intelligence
In addition to the names, OpenAI noted some improvements to the GPT-5.6 family. To increase agent reasoning and workflow, the company has added new “max” and “ultra” modes to Sol.
He also highlighted the improved skills in cryptography, science and cybersecurity of the model group. However, a “limited” preview is yet to come The White House reportedly requested To restrict the rollout of GPT 5.6.
OpenAI also stressed that the launch is not a full public release. It’s a “limited preview” of the GPT-5.6 series, as the company is still conducting safety tests before making the model available to a wider audience.
