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GPT, Claude, Gemini, and other LLMs

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Llms

Gemma 4 actually running usable on an Android phone (not llama.cpp)

I wanted a real local assistant on my phone, not a demo. First tried the usual llama.cpp in Termux — Gemma 4 was 2–3 tok/s and the phone ...

Reddit - Artificial Intelligence · 1 min ·
Llms

Claude vs Gemini: Solving the laden knight's tour problem

AI Coding contest day 8 The eighth challenge is a weighted variant of the classic knight's tour. The knight must visit every square of a ...

Reddit - Artificial Intelligence · 1 min ·
Llms

AI helped me build a custom PC and 4 apps in 6 months with zero coding experience

Mid-October, early morning at work. I was hunting for a podcast to throw on while I worked and stumbled into something about what AI coul...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.03585] Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
Llms

[2603.03585] Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility

Abstract page for arXiv paper 2603.03585: Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility

arXiv - AI · 3 min ·
[2603.04028] A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality
Llms

[2603.04028] A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Quality

Abstract page for arXiv paper 2603.04028: A Multi-Dimensional Quality Scoring Framework for Decentralized LLM Inference with Proof of Qua...

arXiv - AI · 4 min ·
[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations
Llms

[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

Abstract page for arXiv paper 2603.03555: Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

arXiv - AI · 4 min ·
[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese
Llms

[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese

Abstract page for arXiv paper 2603.03543: Tucano 2 Cool: Better Open Source LLMs for Portuguese

arXiv - AI · 4 min ·
[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
Llms

[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

Abstract page for arXiv paper 2603.03541: RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

arXiv - AI · 3 min ·
[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
Llms

[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

Abstract page for arXiv paper 2603.03536: SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

arXiv - AI · 3 min ·
[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Llms

[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

Abstract page for arXiv paper 2603.03946: Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

arXiv - Machine Learning · 4 min ·
[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
Llms

[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

Abstract page for arXiv paper 2603.03512: Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

arXiv - AI · 4 min ·
[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
Llms

[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

Abstract page for arXiv paper 2603.03508: Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

arXiv - AI · 3 min ·
[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior
Llms

[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Abstract page for arXiv paper 2603.03805: Relational In-Context Learning via Synthetic Pre-training with Structural Prior

arXiv - AI · 3 min ·
[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers
Llms

[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers

Abstract page for arXiv paper 2603.03417: Parallel Test-Time Scaling with Multi-Sequence Verifiers

arXiv - AI · 4 min ·
[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
Llms

[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

Abstract page for arXiv paper 2603.03415: Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

arXiv - AI · 4 min ·
[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Llms

[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Abstract page for arXiv paper 2603.03756: MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Ba...

arXiv - Machine Learning · 3 min ·
[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
Llms

[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

Abstract page for arXiv paper 2603.03410: On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

arXiv - AI · 4 min ·
[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Llms

[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Abstract page for arXiv paper 2603.03379: MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

arXiv - AI · 4 min ·
[2603.03612] Why Are Linear RNNs More Parallelizable?
Llms

[2603.03612] Why Are Linear RNNs More Parallelizable?

Abstract page for arXiv paper 2603.03612: Why Are Linear RNNs More Parallelizable?

arXiv - Machine Learning · 4 min ·
[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs
Llms

[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

Abstract page for arXiv paper 2603.03371: Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

arXiv - AI · 4 min ·
[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
Llms

[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

Abstract page for arXiv paper 2603.03597: NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

arXiv - Machine Learning · 3 min ·
[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs
Llms

[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

Abstract page for arXiv paper 2603.03538: Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

arXiv - Machine Learning · 4 min ·
[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
Llms

[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

Abstract page for arXiv paper 2603.03535: Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

arXiv - Machine Learning · 3 min ·
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