Nate@nate_512

Takip et

If you're building AI agents, this is the framework to pay attention to. Apodex_AI's TRACES is about testing the whole system harness in a live execution loop, not just whether the model can guess a hidden answer. It's driven by tianqiao_chen's work in neuroscience philanthropy, and it focuses on the messy parts that actually matter: dynamic error repair, strict tool execution, keeping logic state straight across deep context windows, and knowing exactly where a conclusion stops being valid. Static benchmarks are done. Submissions to test your system are open

1w

Nate@nate_512

Takip et

If you're building AI agents, this is the framework to pay attention to. Apodex_AI's TRACES is about testing the whole system harness in a live execution loop, not just whether the model can guess a hidden answer. It's driven by tianqiao_chen's work in neuroscience philanthropy, and it focuses on the messy parts that actually matter: dynamic error repair, strict tool execution, keeping logic state straight across deep context windows, and knowing exactly where a conclusion stops being valid. Static benchmarks are done. Submissions to test your system are open

1w