Quantum Mindset Programme

Andrej Karpathy: Software 3.0

Software 3.0 represents a revolutionary programming paradigm where developers use natural language prompts instead of traditional code, as popularized by Andrej Karpathy in 2025. Southeast Asia is emerging as a major AI hub, with potential to add $1 trillion to regional GDP by 2030. The region attracts record investments exceeding $30 billion in AI infrastructure, while facing challenges including talent shortages and employment displacement concerns.

Luanna delivered the student commencement address at Harvard’s 2025 University-wide graduation ceremony

"If we still believe in a shared future, let us not forget those who were labeled as enemies. They too are human. In seeing their humanity, we find our own. We do not rise by proving each other wrong. We rise by refusing to let one another go, bound by our shared humanity."

MiniMax + n8n : 搭建个性化播客AI生成工作流搭建个性化播客AI生成工作流

n8n与MiniMax集成指南摘要: 本指南详细介绍了如何安装配置n8n工作流自动化平台,并与MiniMax AI服务进行集成。涵盖三种安装方式:npm、Docker和VPS部署。重点讲解MiniMax API凭证配置、HTTP Request节点设置,以及构建个性化播客生成工作流。包含文本转语音、语音克隆、视频生成等功能实现。提供完整的生产环境配置方案,包括Nginx反向代理、SSL证书和PM2进程管理,确保系统稳定运行。

科学界AlphaGo时刻,DeepMind发布AlphaEvolve

DeepMind的AlphaEvolve标志着AI从工具向科学发现合作伙伴的历史性跃进。该系统将Gemini大语言模型与进化算法相结合,实现了56年来矩阵乘法算法的首次突破,将4×4矩阵运算从49次优化至48次。更令人瞩目的是,它优化了自身的训练基础设施,将Gemini训练效率提升23%,并为谷歌数据中心节省数亿美元成本。AlphaEvolve不仅解决传统数学难题,更在75%的测试案例中重现最优解,20%的案例中发现新突破,预示着人机协作科研的新纪元。

Generative Pre-trained Auto-regressive Diffusion Transformer (GPDiT)

GPDiT (Generative Pre-trained Auto-regressive Diffusion Transformer) combines diffusion modeling with transformer architecture for powerful video recoloring. Operating in latent space with a parameter-free rotation-based time conditioning mechanism and lightweight causal attention, it enables remarkable few-shot learning capabilities. This breakthrough model generates temporally consistent, high-quality colorized videos from grayscale inputs with minimal examples needed for adaptation to specific styles.

Quantum AI: New Framework

Quantum AI merges quantum computing with artificial intelligence, potentially revolutionizing computation through quantum principles like superposition and entanglement. This emerging field explores quantum versions of neural networks, SVMs, and reinforcement learning algorithms that could exponentially accelerate certain AI tasks. Though currently experimental and facing hardware limitations, researchers at major tech companies are developing practical applications in drug discovery, financial modeling, and materials science. The future of Quantum AI hinges on advances in qubit scaling, error correction, and algorithm development.

New AI Robot with 100 AI Brains Is Actually Thinking (Smart Muscle System)

Pi 0.5 by Physical Intelligence revolutionizes robotics by distributing computational power throughout a robot's body instead of using a single central processor. This system features two layers: a network of "pi nodes" handling immediate reflexes, and a high-level planning model managing complex tasks. Trained on diverse environments, Pi 0.5 achieves 94% success in completely new settings, using 25% less power while improving grip accuracy by 30%. The robot continually cycles through thinking, acting, and observing—enabling it to perform household tasks like cleaning, organizing, and handling objects without pre-mapping or constant connectivity. This architecture mimics how biological systems balance reflexes with conscious thought.

Sonnet 3.7 “THINK” Tool: MORE than a Scratchpad

Claude 3.7 Sonnet's new THINK tool creates a dedicated space for structured reasoning during complex tasks. More than a simple scratchpad, it allows Claude to pause, reflect, and verify policy compliance when managing multi-step processes. When paired with optimized prompts providing reasoning templates, it improves performance by over 50% on tasks requiring strict rule adherence, like booking systems or policy-driven customer service.

China’s Strategy to Trump 2.0: A Discussion Summary

Trump 2.0, Crypto, TikTok, imperialism, Chinese economy and world order… Here is a conversation filmed on 21st Jan 2025 with Prof. Zhang Weiwei from Fudan University, Prof. Jeffrey Sachs from Columbia University and Mr. Charles Li former CEO of HKEX. Special thanks to the China International Finance Forum.

《黑神话·悟空》中的佛学义理解析

了解游戏《悟空传》如何巧妙地将佛教教义融入其设计中,探索六感等概念以及故事与佛教修行的深厚联系。深入了解游戏玩法与精神哲学的独特融合。