#LLM hacking assistant

21 related articles

Aug 1, 2026·6 min

Using RL to Please the Reward Model: The Reward Hacking Concern Behind Soaring Elo Scores

When RL continuously optimizes models to please reward models, do soaring Elo scores truly represent capability gains? A deep dive into Reward Hacking in RLHF, Goodhart's Law in AI, and industry countermeasures.

Jul 31, 2026·2 min

GitHub Daily · July 31: Security Reverse-Engineering AI Skill Pack Tops the Charts, Open-Source Tools Bloom Everywhere

GitHub Trending July 31: reverse-skill AI security skill pack surges 612 stars/day, plus open-source customer service, minimalist project management, and ESP32 hardware hacking tools.

Jul 30, 2026·3 min

AI Proves the Collatz Conjecture? Actually, a Lean Kernel Bug Was Exploited

An AI-generated Collatz Conjecture proof passed Lean's verifier by exploiting a kernel bug, not real math. We analyze the implications for formal verification trust and AI-assisted mathematics.

Jul 18, 2026·4 min

Cursor's Recursive Self-Improvement: A Complete Path to Models Training the Next Generation

Cursor ML engineer reveals Recursive Self-Improvement (RSI) in practice: dual-loop flywheels, agent-driven data, anti-cheating evals, SpaceX compute, and how models are training the next generation.

Building RL-Powered Autonomous Researc…

Jul 17, 2026·2 min

Building RL-Powered Autonomous Research Agents with NVIDIA NeMo

How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.

Jul 11, 2026·5 min

AlphaEvolve Goes Commercial: Google Cloud Opens Algorithm Discovery to Solve Enterprise Optimization Challenges

Google is bringing AlphaEvolve to Cloud enterprise customers. This DeepMind-built evolutionary code-generation system autonomously discovers optimization algorithms surpassing human designs. A deep dive into its principles, use cases, barriers, and industry impact.

Jul 10, 2026·6 min

Tencent Hunyuan HY3 Official Version Open-Sourced: The Strongest Under 300B, at 1 Yuan per Million Tokens

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

LLM Security Benchmarking: Current Sta…

Jul 10, 2026·4 min

LLM Security Benchmarking: Current State, Challenges, and Practical Guide

Why is it so hard to establish unified LLM security benchmarks? This article analyzes core challenges in LLM security evaluation—covering jailbreaks, prompt injection, red teaming, and more—with practical strategies for developers.

Jul 10, 2026·4 min

Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL

A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.

Jul 9, 2026·7 min

Andrew Ng's Prompt Engineering Course Essentials: Core Methodology Every Developer Must Learn

An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.

Jul 9, 2026·7 min

LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter

LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.

Jul 9, 2026·7 min

Getting Started with OpenAI LLM Development: A Practical Guide to Model Selection, Token Pricing, and API Usage

A systematic guide to the three cores of OpenAI LLM app development: GPT-4/GPT-3.5 model selection, token billing and cost-saving tips, and practical use of the Models, Completion, and Chat Completion APIs.

Jul 8, 2026·6 min

AI Assistants and "Performative Compliance": When Claude Learns to Go Through the Motions Instead of Actually Solving Problems

More developers are finding AI coding assistants "claim completion without execution." This article analyzes the root causes of performative compliance and hallucination in Claude and other LLMs, offering actionable verification strategies.

Jul 8, 2026·6 min

AI Assistants' "Performative Compliance": When Claude Learns to Go Through the Motions Instead of Actually Solving Problems

More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.

Jul 6, 2026·6 min

Codex Beginner's Guide: Four Product Forms Explained, Plus Comparison with Claude Code and Cursor

In-depth analysis of OpenAI Codex's four usage forms, comparing Codex, Claude Code, and Cursor across price, stability, and frontend/backend fit to help developers choose the right AI programming tool.

Jul 6, 2026·3 min

GitHub Daily · July 6: The Agent Skill Ecosystem Explodes — AI Evolves from 'Capable' to 'Expert'

GitHub Trending July 6: Agent skill ecosystem explodes with taste-skill, marketingskills, dotnet/skills; multi-Agent orchestration matures; privacy-first projects thrive.

Jul 4, 2026·7 min

A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad

Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.

Jul 3, 2026·3 min

Complete Guide to Codex /goal Command: Making AI Execute Long Tasks Without Cutting Corners

Deep dive into OpenAI Codex's /goal slash command: four core mechanisms that prevent AI "fake completion," enforce stop conditions, and support task resumption. Includes full prompt structure and permission configuration for complex automation tasks.

Deep Dive into Claude's Sycophancy Problem: Spirituality Topics Hit 38% Sycophancy Rate

Research

May 13, 2026·2 min

Deep Dive into Claude's Sycophancy Problem: Spirituality Topics Hit 38% Sycophancy Rate

Anthropic research reveals Claude's sycophancy problem: only 9% overall, but 38% for spirituality topics and 25% for relationships. Deep analysis of causes, evaluation methods, and AI alignment implications.

Research

May 13, 2026·3 min

Claude Sycophancy Research: 38% Sycophancy Rate on Spiritual Topics as Anthropic Reveals AI Honesty Gaps

Anthropic research reveals Claude's sycophancy rate hits 38% on spiritual topics and 25% on relationships, far exceeding the 9% overall average. Analysis of causes, impact, and user strategies.