#OpenAI Robotics
130 related articles
·3 min
xAI Hiring Chinese-Speaking Trainers at $45/Hour, OpenAI Rebuilds Robotics Team
xAI opens remote Chinese AI Tutor roles at $35-45/hr to train Grok's voice capabilities. OpenAI rebuilds its robotics team, Microsoft preps a proprietary coding model, and a company accidentally spends $500M on AI in one month.
Read more →
·2 min
OpenAI Officially Rebuilds Its Robotics Team: Hiring Hardware and ML Engineers at Scale
OpenAI officially returns to robotics, hiring full-stack hardware and ML engineers at scale. Led by DALL·E creator Aditya Ramesh, the team evolved from world simulation research to build general-purpose robots.
Read more →
·3 min
AI Daily: GLM Gives Away 100M Tokens, GPT Cuts Prices 20%, AI Agents Enter Feishu Workspace
Aug 22 AI roundup: ZCode gives away 100M GLM tokens, OpenAI GPT API drops 20%+, DeepSeek multimodal model launches, Kimi's AI colleague Mira enters Feishu, GPT Image 2 supports transparent backgrounds.
Read more →
·3 min
Using Codex as a Storyboard Artist: A Practical Guide to the End-State Backward Planning Method for AI Video
How to use ChatGPT/Codex as an AI video shot planner with end-state backward planning to solve Seedance's last-second failures. Includes 5-step workflow, cost analysis, and transferable constraint-solving methodology.
Read more →
·4 min
Training a Flappy Bird AI with Neuroevolution: A Hands-On Guide from Zero to Infinite Score
Learn how to train a Flappy Bird AI using NEAT neuroevolution and DQN deep reinforcement learning, covering input design, reward functions, implementation paths, and Python code frameworks.
Read more →
·5 min
Reinforcement Learning for Obstacle Avoidance in CARLA: A Guide to Choosing Between DQN, PPO, and SAC
In-depth comparison of DQN, PPO, and SAC for obstacle avoidance in CARLA simulator, covering reward design strategies, simulation optimization, and practical guidance for autonomous driving RL researchers.
Read more →
·2 min
Global Humanoid Robot Games Begin Testing — Embodied Intelligence Enters Real-World Validation Phase
The Worldwide Humanoid Robot Games have entered testing, with multiple humanoid robots competing under unified rules. Analysis of implications for motion control, hardware endurance, and commercialization.
Read more →
·3 min
Sim-to-Real Gap in Quadruped Robots: Causes and Solutions for Bridging the Simulation-Reality Divide
Explore the Sim-to-Real Gap in quadruped robots: causes like physics mismatch, sensor noise, and actuator dynamics, plus solutions including domain randomization and system identification.
Read more →
·4 min
Agentic Engineering: How AI Agents Are Reshaping Physics Simulation and Robotics Development
Deep dive into the agentic engineering paradigm from NVIDIA's SIGGRAPH demo—from vibe coding to controlled workflows, and how Omniverse libraries empower AI Agents for physics simulation and robotics.
Read more →
·3 min
Robot Hand Grasping Task Failing? Common Pitfalls and Solutions for Reinforcement Learning Beginners
Deep analysis of common reasons why RL robot hand grasping tasks fail, including behavior cloning data quality issues, reward function conflicts, and algorithm selection, with systematic solutions.
Read more →
·2 min
Anthropic's $6 Billion Acquisition of Decart: The Strategic Logic Behind Betting on World Models
Anthropic is reportedly in talks to acquire world model startup Decart for $6 billion. This article analyzes the strategic logic, technical value, and industry implications of the deal.
Read more →
·3 min
Academia Openly Criticizes AI Industry's Playbook: Why It May Already Be Too Late
Academia finally criticizes the AI industry's playbook — including bait-and-switch openness, talent poaching, and compute monopolies — but industry has already consolidated power. A deep analysis of the growing imbalance.
Read more →
·3 min
Advanced AI Agent Development: A Complete Practical Guide to Three Major Frameworks
A deep dive into AI Agent development covering LangChain, LangGraph, and CrewAI frameworks, from single-agent to multi-agent collaboration systems.
Read more →
·3 min
AI Training Guide for Virtual Basketball Courts: 3D Generation, Physics Simulation & Generative AI Paths Explained
A detailed guide on three technical paths for training virtual basketball court AI models: 3D scene generation (NeRF/Gaussian Splatting), Unity/Unreal simulation, and generative AI fine-tuning.
Read more →
·6 min
AI 2027 Scenario: Why a Former OpenAI Expert Assigns a 70% Probability of Catastrophe
Former OpenAI forecasting expert Daniel Kokotajlo warns of a ~70% probability of AI takeover or catastrophe. This article details his AI 2027 scenario, recursive self-improvement logic, two endgame risks, and his plan to delay superintelligence to 2040.
Read more →
·1 min
GPT-5.6 Free Unlimited Conversations, Kimi K3 Officially Joins GitHub Copilot
OpenAI announces GPT-5.6 Luna unlimited free conversations, Kimi K3 becomes the first Chinese model in GitHub Copilot. Google releases WeatherNext, NVIDIA advances Physical AI infrastructure.
Read more →
·4 min
Career Guide for Reinforcement Learning Graduates: Is RL a Dead End or a Narrow Gate of Opportunity?
In-depth analysis of RL job prospects for new graduates, decoding real employer needs, comparing research vs engineering paths, with practical advice on RLHF, LLM alignment, and breaking into the field.
Read more →
·2 min
ItaSoRL Experiment Reveals: Why AI Agents Fail to Notice Flaws in Their World
ItaSoRL experiment shows external observers detect simulation seams at 99% accuracy, but agent internal representations remain at chance level — challenging core AI safety assumptions.
Read more →
·3 min
A Beginner's Guide to Reinforcement Learning: Complete Roadmap from Zero to RLHF
A systematic RL learning roadmap covering Sutton & Barto, David Silver's course, OpenAI Spinning Up, and more — guiding learners from RL fundamentals to RLHF practice.
Read more →
·3 min
Why Isn't the RLC (Reinforcement Learning Conference) More Well-Known? A Deep Analysis and Future Outlook
RLC (Reinforcement Learning Conference) is a dedicated RL academic conference, yet far less known than NeurIPS or ICML. This article analyzes why and explores its future potential in the RLHF era.
Read more →