We are currently dumping massive amounts of sensitive data into black boxes, trusting these models to make life-altering decisions without any real way to hold them accountable. Banks, public companies, and financial statements are all subject to rigorous audits, yet AI systems operate behind a veil where we are expected to take their output at face value. I have been using OpenGradient to move past that blind faith, and the experience is a welcome shift. Instead of just getting an answer and hoping for the best, the platform generates cryptographic proofs that actually show the work behind the inference. With over two million inferences and 500,000 proofs already generated, it is clear that moving away from blind trust is not just a theoretical goal anymore.
Transparency is often treated as an afterthought because it is inconvenient.
Using this, I finally feel like I am interacting with technology that respects the need for verification over claims. I care about this because I am tired of guessing whether I am being lied to by a machine.
#opg $OPG @OpenGradient
Transparency is often treated as an afterthought because it is inconvenient.
Using this, I finally feel like I am interacting with technology that respects the need for verification over claims. I care about this because I am tired of guessing whether I am being lied to by a machine.
#opg $OPG @OpenGradient