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Microduck is an open-source bipedal robot by Pollen Robotics with excellent sim2real transfer via precise actuator modeling. Learn its tech, open-source value, and future directions.

See how an indie developer uses 3D printing, ROS 2, and a custom animation editor to turn Pixar's iconic desk lamp into a real robot with personality, vision, and RL-driven autonomy.

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.

A single RL soccer policy trained alone with PPO spontaneously produces ball contention, shooting, and defensive behaviors in multi-agent competition—exploring emergent behavior principles.

As AI coding assistants like Codex become standard, the risks of overreliance grow too. Learn when developers should "show a red card," reclaim control, and safeguard code quality and responsibility.

A US engineer's live test of Kimi K3: 2.8T parameters, 1M token context, 87% audience vote over Fable5 in game generation. Full report covering benchmarks, speed, and code debugging.

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

RL3 is a zero-code, browser-based reinforcement learning platform featuring drag-and-drop environment design, visual reward configuration, and Q-learning/PPO training. Built by an indie developer over 15 months to make RL accessible to everyone.

A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.

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.

Soccer is one of the world's most chaotic sports—sprinting, sudden stops, endurance, and contact all at once. Inside Brooklyn FC's training ground: how pros prep for 90 minutes of unpredictability.
Gemini Nano Banana 2 Templates: The AI…
Google Gemini launches Nano Banana 2 templates, letting users turn selfies into custom trading cards, murals, and cartoons. Explore this AI image feature's tech and commercial potential.

Smart Poly tests UE5.8's MCP plugin with 5 blueprint challenges—from toggle doors to ragdoll physics. Detailed scoring reveals Claude's real strengths and limitations in UE5 blueprint development.

Allbirds pivots from eco-friendly shoes to AI with a new CEO, ample funding, but zero AI employees. A deep dive into the logic, challenges, and industry lessons of a consumer brand's AI leap.
Product ReviewsReal-world comparison of O3, Gemini 2.5 Pro, and Claude 3.7 coding abilities through snake battles, RL training, solar system simulation, and soccer game tasks.