Are you addicted to your AI chatbot?
Research on AI chatbot addiction presented at CHI 2026 explores how chatbot design features may contribute to dependency behaviors.
Research on AI chatbot addiction presented at CHI 2026 explores how chatbot design features may contribute to dependency behaviors.
Guide on composing Claude Code Skills following Unix principles, with auto-triggering skills for improved agent performance.
Gemini-powered coding agent for algorithm design and optimization deployed across Google infrastructure. Demonstrates real-world impact on discovery and performance.
Fast GPU-accelerated PyTorch reinforcement learning library implementing D4PG, DSAC, DPPO algorithms, forked from rsl_rl.
Automated pipeline converting narration recordings to published YouTube videos using Google's Lyria 3 Pro model with idempotent steps.
Stub entry about Medium post automation agent, no substantive content.
Overview of AI SDR (Sales Development Representative) agents, market size ($4B), capabilities in prospecting and outreach automation, and cost analysis.
Zed editor maintainer defends Parallel Agents feature development as principled engineering choice, not money-driven, addresses user concerns about priorities.
Discussion on improving code quality of Claude Code and GPT-5.5 agents for software development tasks.
House committees probe Anysphere (Cursor) and Airbnb over use of Chinese AI models and geopolitical concerns.
Setup guide for running local LLM coding server on MacBook Pro M5 with 48GB, exposing OpenAI-compatible API without cloud.
GitAgentProtocol (Open GAP) is framework-agnostic standard for defining AI agents portably across Claude Code, OpenAI, LangChain, CrewAI, and AutoGen.
Carrier is a compiled DSL/language for building API services and backend logic with automatic compiler generation of code, tests, and OpenAPI specs.
Chrome extension using local LLMs for privacy-preserving phishing detection analyzing 6 signals without data leaving the machine.
Guide to ChatGPT model training, privacy safeguards, and privacy controls for users.
Experimental setup achieving 100K context window for 30B model on 24GB RTX 5090 using Q8 KV cache quantization with Ollama.
Trupositive automatically tags infrastructure resources with Git metadata (commit SHA, branch) for Terraform and CloudFormation.
ByteDance introduces three-tier paid subscription plans for its Doubao AI chatbot app in China.
Machine-readable trust registry for AI agents to verify merchant safety before making autonomous transactions.
Analysis of LLM capabilities distinguishing crystallized intelligence (pattern learning from training data) from fluid intelligence (novel problem-solving), suggesting LLMs excel at trained domains but lack human-like reasoning.
Open registry of W2A-compatible sensors providing event-driven input streams for AI agents, with install commands.
Article on using AI coding assistants for payments integration, noting limitations in product-specific tasks like webhook verification.
Guide to building and scaling reinforcement learning environments in the era of LLM-based agents.
Interactive experiment using generative UI to create full-page images from search queries, navigating by tapping.
Binary token-native transport protocol for LLM APIs to reduce bandwidth by keeping token IDs as integers instead of converting to UTF-8 JSON.
Wrapper tool converting Claude CLI into OpenAI-compatible API with concurrency, retry logic, and prompt caching.
Developer built compiler to manage AI coding agent skills across multiple platforms (Claude, Cursor, Windsurf) with unified source format.
2026 roadmap addressing AI/ML challenges in smart manufacturing including data management, system integration, and industrial deployment.
AI agent system built on n8n platform for automated ESG performance classification and assessment in European SMEs using expert-validated baselines.
Geometric analysis of emergent misalignment in LLMs through feature superposition, explaining how fine-tuning on narrow tasks induces harmful behaviors.
Clinical chatbot using prioritized evidence RAG with guideline-grounding and verifiable citations to reduce hallucination in medical diagnosis.
Knowledge-driven LLM decision-support system with ontology integration for defect diagnosis and mitigation in laser powder bed fusion manufacturing.
LLM-based intelligent agent platform for stuttering assessment and personalized therapy with clinician-in-the-loop workflow.
Multi-agent system prototype for scientific workflows in hydrodynamics, addressing context limitations of single-agent LLM systems.
LLM-guided evolutionary search establishing new exact Zarankiewicz numbers and bounds through reinforced optimization.
RLHF-based approach for adapting LLMs to match instructor style in automated educational feedback while preserving diagnostic accuracy.
Empirical study showing iterative finetuning on model outputs mostly produces idempotent behavior rather than amplifying tendencies.
Defense system detecting adversarial interaction patterns in LLM agents through low-latency anomaly detection on agent behavior.
Position paper arguing multi-agent safety depends on interaction topology rather than individual model alignment or scale.
Mechanistic analysis of how Llama-3.1-8B performs cyclic reasoning through base-10 addition rather than modular arithmetic.
Neuro-symbolic system combining SNOMED CT ontology with machine learning for interpretable clinical AI predictions.
Benchmark for evaluating process reward models across diverse reasoning tasks beyond mathematics, enabling detection of intermediate reasoning errors.
Framework improving faithfulness in vision-language GUI agents by grounding actions in screen evidence and user instructions via guided advantage estimation.
Position paper proposing agentic systems be designed as token allocation economies with specialized layers for routing, planning, and action selection.
Interactive simulation environment for training multimodal agents to perform Earth observation analysis with tool use and uncertainty resolution.
Neuro-symbolic framework for inducing executable skills from agent interactions, combining LLM reasoning with programmatic logic for long-horizon planning in dynamic environments.
Policy optimization method aligning RL credit assignment with natural reasoning steps in multi-modal tasks at segment granularity rather than token or sequence level.
Study of in-group favoritism biases in persona agents facing contradicting information and methods to mitigate adverse effects on factual accuracy.
Multimodal dataset and recognition framework for non-standard system-level chip design diagrams to improve MLLM understanding of architectural specifications.
Evaluation of cognitive plausibility for computational models of analogy and metaphor including SME, CogSketch, and LLMs using the Minimal Cognitive Grid framework.