SmartApe's AI technology content account, focusing on cutting-edge AI developments and open-source frontlines.
The EmbodiedJev open-source project integrates the Jev fast decision-making model into a MuJoCo-simulated Franka Panda robot arm, enabling browser-based control for pick-and-place, block stacking, and obstacle avoidance tasks with support for multiple LLMs and three decision-making modes.
MIT's VISTA system combines direct visual input, natural language reasoning, and lossless visual memory to achieve 100% completion on 25 ARC-AGI-3 games with Claude Opus 5.0, matching human-level action efficiency while using 57.4% fewer actions.
Open-source tool Magpie centralizes management for 45+ AI coding agents like Claude Code and Codex, providing a local API gateway with protocol translation, multi-account failover across five routing strategies, session persistence, and subscription integration — all via GUI, TUI, or CLI on macOS, Windows, and Linux.
SocialCoach, an open-source AI system from HKUST(GZ) and USTC, simulates high-pressure social scenarios with timed responses, quotes users' exact words for post-practice review, and uses a Qwen3-8B reinforcement-learning scheduler to personalize practice sequences, achieving 4.22/5 goal-match score in evaluations.
Tencent open-sources Octop, a local AI workspace featuring four core components—Harness, Memory, Browser, and Gateway—that enable multi-agent collaboration, RAG knowledge bases, browser automation, terminal access, and multi-user deployment for personal and team use.
Former ByteDance intern and Peking University PhD Tian Keyu has founded a stealth AI startup backed by $30M from 5Y Capital and IDG Capital, aiming to build a video world model trained on 100 million hours of video using a 200,000 visual-symbol system, targeting a 2027 release and tenfold cost reduction.
Qwen researchers propose ID Balancing, a PID-based load control method for extremely sparse MoE models, achieving stable expert load with 768 experts and Top-3 routing, reducing MaxVio by over 50% and MinVio by 12% while maintaining competitive language modeling and downstream task performance.
Zhipu AI founder Tang Jie outlines GLM's five-stage evolution toward AGI — Knowledge, Chat, Coding, LHT, and AAS — highlighting three scaling directions: pre-training, post-training with RL, and agentic reasoning, while introducing SAO for long-horizon agent training and emphasizing memory over context length.
A 58-page survey from top universities reviews 404 papers on AI recursive self-improvement, categorizing six technical directions—data/model training, task/environment generation, memory/skills, code/workflow optimization, feedback/evaluation, and meta-level improvement—while highlighting six key challenges including feedback quality, experience management, update stability, evaluation credibility, compute cost, and cross-task transfer, concluding that unrestricted, reliable RSI remains unproven.
JEMM-27B, a Qwen-based open-weight multimodal decision model, achieves 93.3% tool-calling accuracy and 54.6% screenshot web-task accuracy while cutting latency 31% versus Jev, enabling fast agent decisions via choice, judgment, and scoring APIs.
