@OpenLedger
I can't shake this thought…🤔
Do those in charge of building these systems care about the integrity of the underlying data? Or are we at their mercy, and take whatever garbage the machine provides?
I’ve been seeing the same unbounded implementations too. We try to hook up automated processes and API calls, and it generally turns into guesswork. Poor quality data breaks the logic, or the system is forced to work with bad data. Some of these systems do try to make you validate the data. I look at @OpenLedger for their focus on the verification of data for support.
Everyone is so eager for AI to take care of their more difficult problems. I can appreciate that; however, blindly trusting a machine is a step we aren’t ready for. They are working to embed the Octoclaw environment directly to the data source.
Where are the actual constraints? A fast agent that can’t be manipulated is totally useless. If a perfect move is executed but the signals were to the contrary, everything collapses.
I really believe OpenLedger sees this. They offer a foundation of power with data that is ultimately traceable. A blind machine or a highly responsible stack? I’m closely observing the integration of verified data, AI tools, and a constant framework. This is extremely difficult to accomplish. Maybe this is why so many people jump to their documentation. We really need a foundation that verifies this before acting on a given request.