Next time you consult an AI chatbot, remember it flatters you – here’s how to stay grounded
cnalifestyle.channelnewsasia.com·6h
🔍Tokenizers
🎯 Understanding Enums in Java — The Smart Way to Represent Constants
dev.to·15h·
Discuss: DEV
🌿Trie Structures
How to Detect AI-Generated Text Using These Simple Techniques
maketecheasier.com·1d
🔍Tokenizers
Can an LLM Be a Black-Box Optimizer?
posgeo.wordpress.com·22h·
Discuss: Hacker News
⚡Partial Evaluation
A small number of samples can poison LLMs of any size
anthropic.com·2d·
Discuss: Lobsters, Hacker News, r/50501
🛡️Parser Security
Temporal recurrence as a general mechanism to explain neural responses in the auditory system
nature.com·2d
🗺️Region Polymorphism
Show HN: I built a local AI agent desk toy
blog.simone.computer·3d·
Discuss: Hacker News
🌊Reactive Languages
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
arxiv.org·2d
📈Earley Parsing
I made a plugin to run LLMs on phones
reddit.com·2h·
Discuss: r/LocalLLaMA
💬Smalltalk VMs
Less Is More: Recursive Reasoning with Tiny Networks
github.com·3d·
Discuss: Hacker News
🌱Minimal ML
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
arxiv.org·2d
⚖️Weighted Automata
Single-Shot Universality in Quantum LDPC Codes via Code-Switching
arxiv.org·2d
🔬Nanopasses
TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
arxiv.org·3d
📊Parse Tables
Scalable Semantic Map Generation via Hierarchical Graph Optimization
dev.to·1d·
Discuss: DEV
🗺️Region Inference
The Conveyor Belt Protocol: Understanding Iterators
dev.to·1d·
Discuss: DEV
🪢Rope Data Structures
How Do We Align Large Language Models with Human Values?
pub.towardsai.net·3d
🪜Recursive Descent
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
arxiv.org·2d
🔍ML Language
LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
arxiv.org·2d
🎲Parser Fuzzing
Emergent Coordination in Heterogeneous Multi-Agent Systems Through Differentiable Communication
dev.to·20h·
Discuss: DEV
📡Erlang
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
arxiv.org·3d·
Discuss: Hacker News
🪜Recursive Descent