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Model Releases

Using Local Coding Agents

DGX agent

This article likely explores how to implement and deploy coding agents that run locally on a user's machine rather than relying on cloud-based services, potentially covering advantages like privacy, l

model-releasessebastian-raschka

27 Jun 2026

Model Releases

Search: “model-releases”

Using Local Coding Agents

VCs are now sharing screenshots in group chats of Claude discouraging investment in open-source AI infra startups and models. Obviously ther…

1/ On p (doom) tl;dr a) Everyone is making up the numbers b) nobody knows anything (least of all the experts), c) don't worry about it d) th…

6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models

A probabilistic framework for online test-time adaptation

Accelerating Returns and the Qualitative Engine for Science

Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking

Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents

Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation

An Empirical Study of LLM-Generated Specifications for VeriFast

And the balance returned to earth

Anthropic says the US government is allowing Mythos 5 to be redeployed to critical infrastructure operators, and is working to restore general access to Fable 5 (@anthropicai)

Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare

Asymptotically Optimal Learning for Parametric Prophet Inequalities

auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation

Autoformalization of Agent Instructions into Policy-as-Code

Autoregressive Boltzmann Generators

Bayesian Optimization for General Reaction Conditions

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance

Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference

Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models

Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection

Boundary-Aware Context Grounding for A Low-Channel EEG Agent

BOWConnect: Parallel Bayesian Optimization over Windows with Learned Local Cost Maps for Sample-Efficient Kinodynamic Motion Planning

Can Large Language Models Reliably Code Qualitative Humanitarian Data? A Benchmark Study Against Human Expert Adjudication

Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry

Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean

Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News

Confidence-Aware Tool Orchestration for Robust Video Understanding

ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence

Context-Aware Synthesis of Optimization Pipelines for Warehouse Optimization

Context Recycling for Long-Horizon LLM Inference

ConvMemory v3: A Validity Context Layer for Conversational Memory via Target-Conditioned Relation Verification

CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

CyberChainBench: Can AI Agents Secure Smart Contracts Against Real-World On-Chain Vulnerabilities?

Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law

Decision-Aligned Evaluation of Uncertainty Quantification

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues

Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT

Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization

Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation

Do Image Editing Models Understand Lighting?

Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review