Agents made my retro tech safe to use again and showed their real value as testers of ideas

My home has become a repository for antique computers, many of which are obsolete and no longer supported. Despite their age, most of these devices still function, but their use has become increasingly risky following the emergence of Mythos. In a bid to revive a 15-year-old device, I enlisted the help of an agent to breathe new life into it.

The agent, once connected via SSH, struggled to compile the latest cURL with modern cryptography due to the device's antiquated CPU. However, it eventually succeeded by incorporating a swift math library, allowing me to communicate with the device through Telegram. This experience prompted me to envision the potential of agents in revitalizing my entire retro tech collection, as well as the broader scientific community.

Infusing agents into various projects, from resuscitating outdated machines to advancing complex research, has accelerated progress significantly. While agents handle the laborious tasks of configuration and testing, humans retain decision-making authority over which experiments to pursue. This symbiotic relationship has transformed research paradigms, with companies like Google DeepMind exploring similar strategies in fields such as biology, physics, and materials science.

The true value of agents lies not in their automation capabilities, but in their ability to highlight the crucial bottleneck: the judgment required to determine the most promising research paths.