According to @KobeissiLetter, there is notable concern over DOGE's restricted access to US spending data following the announcement of a $1 billion per day spending cut aimed at addressing the $1.8 trillion US deficit. This restriction could impact DOGE's ability to analyze fiscal policy changes, potentially affecting its market trading strategies.

According to Paolo Ardoino, the future of AI model training will not rely on the brute force of 1 million GPUs. Instead, the development of better models will significantly reduce training costs, emphasizing that access to data will remain crucial. Ardoino suggests that inference will move to local or edge computing, making the current expenditure on brute force methods seem inefficient in hindsight.