AI Power Grid

🤯Claude Sonnet 4.5 codes nonstop for 30 hours — a shift that could reshape the future of work. The max run for GPT-5-Codex was just 7 hours. The jump from ~7 hours to 30+ hours is a massive real gain in long-horizon agent stability, meaning the model can keep a plan, keep state, and keep producing useful work without hand-holding. Anthropic and multiple outlets report that Sonnet 4.5 actually ran that long in trials, including building a Slack-style chat app with about 11,000 lines of code, which shows sustained tool use instead of aimless looping. New context editing and a memory tool in the platform help agents trim, rewrite, and persist working notes while they run, which directly supports longer sessions by preventing context bloat. Computer-use skills improved alongside endurance, with OSWorld at 61.4%, so the agent is better at recovering from small execution mistakes during multi-hour runs in a browser or desktop. For engineering teams this raises the mean time between interventions, so a single agent can push a refactor, run tests, and iterate through failures overnight with fewer manual restarts. The practical effect is less babysitting per task and higher throughput on chores like dependency upgrades, flaky test triage, and codebase-wide API migrations. If this endurance holds in your environment, unattended workflows like long data pulls, multi-service setup, or code generation plus validation become viable to run for a full workday.