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visha1v

97 karma · joined November 14, 2025

CTO at Dehurdle. IIT Delhi. Building at the intersection of physics and AI systems. github.com/vishal-dehurdle | vishalvermalabs.com
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Attenuation, Not Acceptance

cacm.acm.org·1 pts·visha1v·
0

The Productivity Illusion of Enterprise AI Coding

cacm.acm.org·2 pts·visha1v·
0

Augmented Reality, Everywhere. All the Time

cacm.acm.org·2 pts·visha1v·
0

Machine Learning Reshapes Credit Scoring

cacm.acm.org·2 pts·visha1v·
0

The Tokens That Made Me Rethink Everything

cacm.acm.org·2 pts·visha1v·
0

Leverage Code Review for Sustainable AI Coding Development

cacm.acm.org·1 pts·visha1v·
1

Cash or Comfort? How LLMs Value Your Inconvenience

cacm.acm.org·2 pts·visha1v·
0

Show HN: Dehurdle – Real-Time AI Voice Simulations for High-Stakes Conversations

dehurdle.com·1 pts·visha1v·
0

Human Control at Machine Speed

cacm.acm.org·2 pts·visha1v·
0

A Collectivist, Economic Vision for AI

cacm.acm.org·1 pts·visha1v·
0

The Trade-Offs of Fighting Child Abuse Online

cacm.acm.org·3 pts·visha1v·
0

Show HN: HyperSAE – Sparse Autoencoders, reimagined in hyperbolic space

github.com·6 pts·visha1v·
0

The Sweeter Lesson

cacm.acm.org·2 pts·visha1v·
0

Show HN: See what an LLM learned, organised as a browsable tree

github.com·1 pts·visha1v·
0

Show HN: LLMs think in hierarchies. Their interpretability tools should too

github.com·3 pts·visha1v·
0

Show HN: At 16K features, flat autoencoders break. Curved space doesn't

github.com·10 pts·visha1v·
0

The Day We Almost Let a Bot Lose Us a Loyal Customer

cacm.acm.org·4 pts·visha1v·
5

Show HN: HyperSAE – Hyperbolic Sparse Autoencoders for LLM Interpretability

github.com·3 pts·visha1v·
0

Why Are Women Leaving Computer Science?

cacm.acm.org·21 pts·visha1v·
18

A fresh look at CPU silent data corruption in modern data centers

cacm.acm.org·52 pts·visha1v·
1

Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure

vishalvermalabs.com·3 pts·visha1v·
0

Toward a Framework for Openness in Foundation Models

cacm.acm.org·2 pts·visha1v·
0

Datacenters in Space

cacm.acm.org·3 pts·visha1v·
0

Show HN: Growth-Ratio Energy Function as Leading Indicator of Agent Task Failure

github.com·1 pts·visha1v·
0

Topological Control of LLMs: A Route to Trustworthy AI

cacm.acm.org·1 pts·visha1v·
0

The Dawn of AI Change-Control

cacm.acm.org·1 pts·visha1v·
0

Growth-Ratio Energy Functions as Leading Indicators of Agent Task Failure

vishalvermalabs.com·4 pts·visha1v·
0

Capturing token IDs during agentic interaction for better reinforcement learning

amazon.science·3 pts·visha1v·
0

Comparing Machine Learning Models of Raindrop Formation

eos.org·2 pts·visha1v·
0

Show HN: A control-theory approach to detecting LLM agent instability

github.com·2 pts·visha1v·
0
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