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visha1v

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  1. The Tokens That Made Me Rethink Everything (cacm.acm.org)
    2 points 0
  2. Leverage Code Review for Sustainable AI Coding Development (cacm.acm.org)
    1 points 1
  3. Cash or Comfort? How LLMs Value Your Inconvenience (cacm.acm.org)
    2 points 0
  4. Show HN: Dehurdle – Real-Time AI Voice Simulations for High-Stakes Conversations (dehurdle.com)
    1 points 0
  5. Human Control at Machine Speed (cacm.acm.org)
    1 points 0
  6. A Collectivist, Economic Vision for AI (cacm.acm.org)
    1 points 0
  7. The Trade-Offs of Fighting Child Abuse Online (cacm.acm.org)
    1 points 0
  8. Show HN: HyperSAE – Sparse Autoencoders, reimagined in hyperbolic space (github.com)
    2 points 0
  9. The Sweeter Lesson (cacm.acm.org)
    1 points 0
  10. Show HN: See what an LLM learned, organised as a browsable tree (github.com)
    1 points 0
  11. Show HN: LLMs think in hierarchies. Their interpretability tools should too (github.com)
    3 points 0
  12. Show HN: At 16K features, flat autoencoders break. Curved space doesn't (github.com)
    10 points 0
  13. The Day We Almost Let a Bot Lose Us a Loyal Customer (cacm.acm.org)
    4 points 5
  14. Show HN: HyperSAE – Hyperbolic Sparse Autoencoders for LLM Interpretability (github.com)
    3 points 0
  15. Why Are Women Leaving Computer Science? (cacm.acm.org)
    21 points 18
  16. A fresh look at CPU silent data corruption in modern data centers (cacm.acm.org)
    52 points 1
  17. Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure (vishalvermalabs.com)
    3 points 0
  18. Toward a Framework for Openness in Foundation Models (cacm.acm.org)
    2 points 0
  19. Datacenters in Space (cacm.acm.org)
    3 points 0
  20. Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure (github.com)
    1 points 0
  21. Topological Control of LLMs: A Route to Trustworthy AI (cacm.acm.org)
    1 points 0
  22. The Dawn of AI Change-Control (cacm.acm.org)
    1 points 0
  23. Growth-Ratio Energy Functions as Leading Indicators of Agent Task Failure (vishalvermalabs.com)
    4 points 0
  24. Capturing token IDs during agentic interaction for better reinforcement learning (amazon.science)
    3 points 0
  25. Comparing Machine Learning Models of Raindrop Formation (eos.org)
    2 points 0