The paper introduces a method called Dynamic Abliteration for non-destructive refusal suppression through engram steering, aiming to modify model behavior without erasing previously learned information.
The chart will appear after repeat observations. The current metric comes from the source.
81 source pointsReal observations only. History before source connection is not reconstructed.
This approach could be useful for adjusting model behavior without losing previously learned knowledge, but further research is needed to validate its effectiveness in real-world applications.
The author built non-autoregressive decision models using reinforcement learning a year ago.
5 days agoHacker NewsMiMo v2.6 is an updated version of the MiMo system, which is designed for multi-modal processing and analysis.
2 days agoGitHubThe NandhaKishorM/laya system is a non-autoregressive decision engine that makes typed choices, scores, and yes/no decisions for any text in a single forward pass across 100+ languages, using a router to select the appropriate checkpoint for each request.
6 days agoLobstersThe text mentions Radicle, which is related to the disclosure of a vulnerability in a network protocol. However, no specific details about the vulnerability or the protocol are provided.
yesterdayLobstersThe article discusses errors or inaccuracies in the content or reporting of What Sun, though specific details are not provided.
3 days agoLobstersTypst has made significant progress.
6 days ago