visha1v

5 ms·

1.
Attenuation, Not Acceptance(cacm.acm.org)
1 points by visha1v 2d ago|0 comments
2.
The Productivity Illusion of Enterprise AI Coding(cacm.acm.org)
2 points by visha1v 2d ago|0 comments
3.
Augmented Reality, Everywhere. All the Time(cacm.acm.org)
2 points by visha1v 2d ago|0 comments
4.
Machine Learning Reshapes Credit Scoring(cacm.acm.org)
1 points by visha1v 2d ago|0 comments
5.
The Tokens That Made Me Rethink Everything(cacm.acm.org)
2 points by visha1v 10d ago|0 comments
6.
Leverage Code Review for Sustainable AI Coding Development(cacm.acm.org)
1 points by visha1v 10d ago|1 comments
7.
Cash or Comfort? How LLMs Value Your Inconvenience(cacm.acm.org)
2 points by visha1v 10d ago|0 comments
8.
Show HN: Dehurdle – Real-Time AI Voice Simulations for High-Stakes Conversations(dehurdle.com)
1 points by visha1v 14d ago|0 comments
9.
Human Control at Machine Speed(cacm.acm.org)
2 points by visha1v 16d ago|0 comments
10.
A Collectivist, Economic Vision for AI(cacm.acm.org)
1 points by visha1v 19d ago|0 comments
11.
The Trade-Offs of Fighting Child Abuse Online(cacm.acm.org)
3 points by visha1v 19d ago|0 comments
12.
Show HN: HyperSAE – Sparse Autoencoders, reimagined in hyperbolic space(github.com)
6 points by visha1v 28d ago|0 comments
13.
The Sweeter Lesson(cacm.acm.org)
2 points by visha1v 29d ago|0 comments
14.
Show HN: See what an LLM learned, organised as a browsable tree(github.com)
1 points by visha1v 29d ago|0 comments
15.
Show HN: LLMs think in hierarchies. Their interpretability tools should too(github.com)
3 points by visha1v 1mo ago|0 comments
16.
Show HN: At 16K features, flat autoencoders break. Curved space doesn't(github.com)
10 points by visha1v 1mo ago|0 comments
17.
by visha1v 1mo ago
The AI did at exactly what it was built to do, and that still wasn't enough.
18.
The Day We Almost Let a Bot Lose Us a Loyal Customer(cacm.acm.org)
4 points by visha1v 1mo ago|5 comments
19.
Show HN: HyperSAE – Hyperbolic Sparse Autoencoders for LLM Interpretability(github.com)
3 points by visha1v 1mo ago|0 comments
20.
by visha1v 1mo ago
half of women leave the technology field by age 35
21.
Why Are Women Leaving Computer Science?(cacm.acm.org)
21 points by visha1v 1mo ago|18 comments
22.
A fresh look at CPU silent data corruption in modern data centers(cacm.acm.org)
52 points by visha1v 2mo ago|1 comments
23.
Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure(vishalvermalabs.com)
3 points by visha1v 2mo ago|0 comments
24.
Toward a Framework for Openness in Foundation Models(cacm.acm.org)
2 points by visha1v 2mo ago|0 comments
25.
Datacenters in Space(cacm.acm.org)
3 points by visha1v 2mo ago|0 comments
26.
Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure(github.com)
1 points by visha1v 2mo ago|0 comments
27.
Topological Control of LLMs: A Route to Trustworthy AI(cacm.acm.org)
1 points by visha1v 2mo ago|0 comments
28.
The Dawn of AI Change-Control(cacm.acm.org)
1 points by visha1v 2mo ago|0 comments
29.
Growth-Ratio Energy Functions as Leading Indicators of Agent Task Failure(vishalvermalabs.com)
4 points by visha1v 2mo ago|0 comments
30.
Capturing token IDs during agentic interaction for better reinforcement learning(amazon.science)
3 points by visha1v 2mo ago|0 comments

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