3 ms·
14 hours ago, I posted an idea : https://www.linkedin.com/posts/mehedimdhasan_though-commercial-memory-systems-for-ai-activity-7401621259526291456-hEQx https://
by talismehedi 10mo ago
14 hours ago, I posted an idea : https://www.linkedin.com/posts/mehedimdhasan_though-commercial-memory-systems-for-ai-activity-7401621259526291456-hEQx https://www.linkedin.com/posts/mehedimdhasan_though-commerci...?
Then I was searching whether anyone had already done it or not.
Then I found this post coming up just 1 day ago.
Best of luck mate, you nailed it.
- roampal 10mo agoDude, you literally wrote the exact motivation paragraph for Roampal right around the same time I posted this Thorndike's Law of Effect is the entire reason I built the outcome-scoring (+0.2 for worked, −0.3 for failed) and shift weighting toward proven memories. You're not half-baked — you're 100% right. I just happened to ship the PoC first. Would love to hear your take on the cold-start problem and whether those reward magnitudes feel right in practice. Shooting you a connection request on LinkedIn if you want to swap notes.
- talismehedi 10mo agoThanks for the connection mate. Would you mind if I take the opportunity to run some academic memory benchmark on roampal in my local to see whether your idea can beat the other RL based methods?
- roampal 10mo agoAbsolutely, go for it! Run whatever benchmarks you have. I would love to see how it stacks up against RL methods. Ping me if you need help with anything. Thanks!