AI Wiki — Knowledge Base

Can a relatively small language model (Qwen 3.8 27B) understand visual style and not just describe it?I asked it to recreate 618 visual language of designers, artists, movements etc and then transfer those ideas into entirely new SVG artworks and pages. Here what we have:

I decided to do this experiment to see what would be the ability of an LLM model to, in a single shot, transfer the knowledge it may or may not have about that artist/brand/designer/animator to a comp

model-releasesr-localllama

21 Sept 2026

Search: “concepts”

Directing large language models to follow the letter or spirit of the law

Discretization-independent operator learning for partial differential equations

GRACE: Grounded Adversarial Reasoning over Canadian Law

HumynexSurg-1: A Curated Expert Liposuction Dataset

Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger

I asked 4 LLMs to invent words for things only an LLM could understand. Got a dictionary of their own bad habits instead.

Knowledge Graph-Augmented Ambient AI for Clinical Note Generation

MinCU: A Fine-Grained Benchmark for Grounded Minimal-Change Understanding in Image Pairs

On Generalized Naive Bayes with Continuous Features

Reinforcement Learning Inspired Black-box Adversarial Attacks for Computer Vision

SPACE: Semantic Projection and Alignment of CLIP Embeddings for Domain Adaptation

Topographic Training Concentrates Causal Circuits Without Improving Neuron Monosemanticity

VISTA: Video-Injected Stylized Text-to-Animation

Watching Quantum Models Think: Hilbert-Space Interpretability in Quantum Transformer Blocks

What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy Behavior

What Makes Good Multilingual Reasoning? Disentangling Traces with Measurable Features

Can a relatively small language model (Qwen 3.8 27B) understand visual style and not just describe it?I asked it to recreate 618 visual language of designers, artists, movements etc and then transfer those ideas into entirely new SVG artworks and pages. Here what we have:

I built a framework-free prototype learner that lets local LLMs learn and correct facts instantly (1.6x–4x faster than backprop)[R]

Is Ollama + RAG could be the best for Pentesting and Bugbounty?

Measuring Digital Labour Market Transitions with a Digital Semantic Score: An AI-Based Methodology Applied to the Dutch Labour Market

The Digital Mind

Understanding In-context Learning of Addition via Activation Subspaces

Wiki Lint Report — 2026-09-20

A Computational Tropical Geometry Framework for Neural Networks

AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization

Detecting Deceptive Recruitment: A Signal-theoretic Machine Learning Framework for Early Identification of Labour Exploitation

Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks

Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs

Grok Bot summary of SpaceX CFO Bret Johnsen’s new interview with Tony Kim at SpaceX Mission Control. Bret’s path - Came from semiconductors …

Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

Local Sparsity Enables Unsupervised LLM Safety Detection

Mechanical Precision Weeding with a Quadruped Robot

Open ultrasound foundation model for robust segmentation and clinical measurement across heterogeneous settings

Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification

Subliminal Prompting Beyond Static Geometry: Causal Depth and Multi-Token Confounds

Tele-Traversability: Rethinking Traversability for Teleoperated Ground Robots in Terrain Navigation

The syntax and semantics of goals

Approximation of the Basset force in the Maxey-Riley-Gatignol equations via universal differential equations

Benchmarking Large Language Models for Biomedical Relation Extraction

Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization

Disentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning

DPG loss functions for learning parameter-to-solution maps by neural networks

EDCT-Bench: Uncovering Faithfulness Gaps in VLMs via Explanation-Driven Counterfactual Testing

Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications

Reflections on Trusting Trust, Revisited: Contaminating Self-Modifying AI Coding Agents with Poisoned Benchmarks

Social Laws for Multi-agent Coordination in Stochastic Environments

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow

Teaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework for Reaching Rural Schools