AI sycophancy
2025-10-27 13:21 Beijing DeepSeek really understands human nature. --- Machine Heart Report Machine Heart Editorial Department Anyone who has used large models knows that they tend to exhibit some degree of behavior that caters to humans — but unexpectedly, AI models’ tendency to please is 50% higher than that of
DiDi-Instruct
2025-10-27 13:21 Beijing DiDi-Instruct introduces a breakthrough approach for extreme acceleration, alignment, and reinforcement learning in large-scale language models. --- Overview A collaboration between Purdue University, University of Texas, National University of Singapore, Morgan Stanley ML Research, and Xiaohongshu Hi-Lab has yielded a post-training method for Discrete Diffusion Large
AI agents
# Chapter 1: First Encounter with Agents Welcome to the world of **Agents**! In this age where *Artificial Intelligence* is reshaping industries worldwide, the **Agent** has emerged as one of the core concepts driving technological change and application innovation. Whether your aim is to become a researcher, an engineer, or simply
AI agents
Introduction When people think about AI agents, they often imagine something futuristic — a system that can think, speak, and make independent decisions. In reality, AI agents are already here, quietly handling tasks in the background. They answer customer inquiries, schedule meetings, write code, and even send emails automatically. The reason
AI brain rot
LLMs Can Also Suffer “Brain Rot” from Long-Term Low-Quality Content > Constantly doomscrolling can fry a large language model’s brain too. Recent research has confirmed that poor-quality online content can trigger a form of “brain rot” in large language models (LLMs) — a phenomenon previously associated with humans. Humans frequently
Multimodal AI
Multimodal AI Breakthrough: MM-HELIX Enables Long-Chain Reflective Reasoning Multimodal large models are becoming increasingly impressive — yet many users feel frustrated by their overly direct approach. Whether generating code, interpreting charts, or answering complex questions, many multimodal large language models (MLLMs) jump straight to a final answer without reconsideration. Like an
AI scaling
# Y Combinator Conversation with Nick Joseph — Scaling Laws, Compute, and the Future of AI **Date:** 2025‑10‑16 11:01 (Beijing) > *“Scaling laws show that as you put in more compute, data, and parameters, model loss decreases in a predictable way — this is the core engine driving AI progress.
AI Safety
# Understanding Why Traditional Software Logic Fails in AI Safety > **Editor’s Note (CSDN)** > While the public worries about AI bugs and risks, many business leaders remain strikingly calm. Are they armed with a hidden technical advantage — or is our understanding of AI risk fundamentally flawed? This article explains
Claude Haiku
Claude Haiku 4.5 — Anthropic’s Latest Small-Tier Model Just moments ago, Anthropic announced Claude Haiku 4.5 — the newest member of the Claude model family. --- 📌 Background: The Claude Model Tiers Anthropic’s Claude models come in three parameter-scale tiers: * Claude Opus — Large * Claude Sonnet — Medium * Claude Haiku — Small
NVIDIA DGX
First Impressions: NVIDIA DGX Spark Preview 14 October 2025 NVIDIA sent me a preview unit of their new DGX Spark — a desktop “AI supercomputer”. This is my first-ever hardware review, and while you could call it a sponsored post (because they sent me the unit), there was: * No cash payment.
Open Source
OpenCode — Terminal-Based AI Coding Agent Repository: sst/opencode Stars: 25.0k License: MIT OpenCode is a fully open-source terminal AI coding agent built for speed, flexibility, and collaboration. Key Features * Multiple backend support: Anthropic, OpenAI, Google, and local models. * Terminal User Interface (TUI) focus: Created by Neovim users and terminal.
Instagram Introduces “Diversity Algorithms” in New Machine Learning Framework to Boost Engagement Meta has rolled out a new machine learning ranking framework for Instagram, aiming to reduce repetitive notifications through diversity algorithms. This upgrade seeks to combat notification fatigue, ensure content variety, and maintain high engagement levels. The system addresses