114 related articles

Google's Gemini Live now integrates the Nano Banana image generation model with Connected Apps like Google Maps, supporting real-time camera scene understanding and visualization. Free worldwide.

1X unveils a new robotic hand for its NEO humanoid: 25 DoF, tendon-driven quasi-direct-drive architecture, full-joint force control, tactile skin, IP68 waterproofing, and compliant safety design, with capacity for 10,000 units a year.

A complete AI Agent learning roadmap covering BDI theory, core components (Perception/Planning/Execution), AutoGen multi-agent frameworks, and DeepSeek RAG projects for beginners.

Mistral launches Robostral Navigate, a state-of-the-art robot navigation model. We break down the technical context, open-source value, and what it means for embodied AI.

A Reddit hobbyist builds a four-wheel skid-steer off-road robot using hoverboard hub motors, ODrive boards, and a Raspberry Pi 5. A deep dive into hardware, 4G teleop, ground friction challenges, and the road to ROS2 autonomous navigation.

This week in AI: OpenAI launches GPT-5.6 in three tiers (Sol/Terra/Luna) hitting 91.9% on coding benchmarks; DeepSeek and PKU open-source DSpark for 85% faster inference; Prime Intellect trains trillion-param models on just 28 H200s; Anthropic Claude enters Slack.

OpenAI launches GPT-5.6 Sol/Terra/Luna, SenseNova open-sources its full multimodal training stack, Gemini adds free Study Notebooks, Apple M7 brings on-device AI to mainstream — a roundup of today's AI updates.

Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.

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.

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.

What is an AI Agent? This article systematically explains the core architecture of AI agents (LLM + Planning + Memory + Tools), how they differ from ChatGPT, their combination with robots, and why developers must master Agent development skills.

iRobot releases its first non-robotic product, the Roomba Electro Plus—a $399 5-in-1 hard floor washer combining vacuuming, mopping, and disinfecting. A deep analysis of iRobot's strategic intent and market impact.

Tencent Hunyuan 3 open-sourced with 295B MoE; GPT-5.6 Sol Ultra may bring multi-subagent collaboration to Codex; Alibaba FunASR upgraded; Japan plans 10M AI robots by 2040.

A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
Matic Robot Vacuum Raises Price by $25…
Matic robot vacuum raises its price by $250 on September 9, going from $1,245 to $1,495. Is the premium worth it before the deadline? A deep-dive analysis.

How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.
Web Monitoring API Launches: Giving AI…
A new Web Monitoring API lets AI agents proactively detect changes across the entire web. Supports event-driven notifications for competitive intel, e-commerce, finance, and more. Free to integrate.

Archon is a GUI Agent automation tool that teaches AI to operate computers through screen recording. Supports voice annotations and visual understanding for repetitive office tasks without coding.

Deep dive into OpenAI Codex's Record and Replay feature: generate reusable automation Skills through screen recording demos. Covers workflow, skill invocation, RPA comparison, and real-world use cases.

OpenAI board member Zico Kolter and Gray Swan CEO Matt Fredrikson explain why AI safety differs fundamentally from cybersecurity and how red-teaming must evolve into a systematic engineering discipline.