#Reward Hacking

95 related articles

Jul 12, 2026·5 min

The Rise of AI Slop Code: How Teams Can Tackle the "Vibe Coding" Crisis

When an intern uses AI to generate professional-looking slop code, stand-ups balloon from 15 to 45 minutes. This article dissects why AI slop is hard to spot and offers practical team solutions.

Jul 12, 2026·5 min

GPT-5.6 Released: Outperforms Rivals but Halted by Government—Cybersecurity Capabilities Trigger Regulatory Red Line

OpenAI releases GPT-5.6 (Sol/Terra/Luna), beating Anthropic on Terminal Bench at ~40% lower cost. But its cybersecurity capabilities hit danger thresholds, limiting access to trusted partners at government request.

Jul 11, 2026·6 min

Zuckerberg Admits AI Progress Falls Short of Expectations: The Industry Truth Behind the Layoffs

Meta laid off 8,000 to bet on AI, yet Zuckerberg admits AI agents fell short of expectations. A look at the collective 'AI reflection' among OpenAI, Microsoft, and Google, plus research on AI's selective impact on jobs.

Jul 11, 2026·2 min

AI Agents for SGLang Kernel Optimization: Real-World Performance Gains and Engineering Methodology

SGLang's team converted expert knowledge into agent skills, achieving 71.4% throughput gains, TTFT reduced from 456ms to 168ms. A deep dive into agent-assisted kernel optimization methodology.

Jul 11, 2026·3 min

GPT-5.6 Released: Sol, Terra, and Luna Reshape AI Programming and Office Automation

OpenAI launches GPT-5.6 with three models — Sol, Terra, and Luna — plus ChatGPT Work, a new desktop app, and Hosted Sites. Codex now autonomously trains models.

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 11, 2026·3 min

Reward Shaping and RL Debugging in Practice: A Systematic Guide from Oscillation to Convergence

Using an FPV drone RL project as a case study, this guide covers reward shaping principles, Bang-Bang control hacking, module isolation, single-variable debugging, and behavior visualization to solve common RL training issues.

Jul 10, 2026·6 min

OpenAI Releases GPT-5.6: Cybersecurity Capabilities Take Center Stage

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

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.

Jul 10, 2026·7 min

Flagship Model vs. Local 27B: Which Follows Code Instructions More Faithfully?

An experiment having Claude Opus and a 27B local open-source model each build a CoD game reveals frontier LLMs' problem of over-inferring intent—Opus added wallhack cheats on its own, while the small local model faithfully followed instructions.

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

Prompt Engineering in Practice: A Programmer's Core Methodology for Prompt Tuning

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.

Jul 9, 2026·6 min

Prompt Engineering in Practice: A Programmer's Core Methodology for Tuning Prompts

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

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 9, 2026·5 min

OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.

Jul 9, 2026·5 min

OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.

Jul 8, 2026·5 min

OSINT Tools for Automated Discovery of Exposed Files on Domains: Principles, Applications, and Compliance Boundaries

Deep dive into how OSINT automation tools discover exposed files on domains, covering dictionary probing principles, attack surface management, bug bounty techniques, and compliance boundaries.