337 related articles

DeepSeek V4 Pro sparks open-source community buzz. Analysis of DeepSeek's V2-to-V3 evolution, MoE architecture cost advantages, and what developers should expect from the next-gen open-source LLM.

Maple-Preview achieves 120 tok/s inference of a 20B ternary MoE model on iPhone. We analyze ternary quantization, MoE sparse activation, and on-device inference challenges.

Trace the evolution of policy gradient algorithms: from REINFORCE's high variance, through Actor-Critic baselines, TRPO's trust regions, PPO's clipping, to GRPO's group baselines for reasoning models.

Deep dive into the 5-layer AI tech stack: Energy, Chips, Infrastructure, Models, and Applications. Understand the key players, competitive landscape, and value distribution logic across the AI industry chain.

An in-depth analysis of Mu, a toolset platform built for AI Agents, exploring the importance of Agent tooling, Mu's design philosophy, competitive landscape, and its value in AI deployment.

Copy-pasting AI-generated code accumulates cognitive debt. Learn why manually retyping code helps developers deeply understand their codebase and build long-term programming skills.

Airtop is an AI agent-powered Google Ads automation tool that handles keyword research, campaign creation, budget optimization, and reporting through natural language conversation — no SEM expertise needed.

A deep dive into the complete workflow of training a 1.3B parameter LLM from scratch, covering Transformer architecture design, data preparation, and distributed training optimization.

From the medieval grimoire Ars Notoria to ChatGPT, humanity's desire for instant knowledge spans a millennium. Exploring the striking parallels between AI and ancient magic books, and the hidden costs of instant knowledge.

A frontier AI lab publicly states that future AI-accelerated development may become too fast, calling for deceleration mechanisms. This article examines recursive self-improvement concerns, tripartite governance, and execution challenges.

SELENE is an open-source AI learning resource built on Jupyter Notebooks, systematically covering ML, deep learning, Transformers, and LLMs with interactive code and math derivations for beginners.

Deep dive into the Greenhouse and Lens modes of Agentic AI — understanding how agents excel in breadth exploration vs. precision convergence to optimize AI programming workflows.

Benchmarking DeepSeek V4 Flash on dual RTX 3060 GPUs with 96GB RAM at IQ2_M quantization achieving 3.5 tokens/sec. Covers hardware choices, 2-bit quantization techniques, and local LLM deployment optimization.

Google launches Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber, further expanding its lightweight AI product line. Analysis of positioning, differentiation strategy, and developer impact.

In-depth analysis of open-source AI models' latest progress in mathematical reasoning, exploring evaluation challenges like data contamination and benchmark saturation, and how formal verification and chain-of-thought methods drive more objective assessment.

Kimi-K3 scores 60.4% on ARC-AGI-2, far surpassing most LLMs. This article analyzes what ARC-AGI-2 tests, what this score means for abstract reasoning, and its implications for the AI industry.

OpenAI surpasses 1 billion active users as ChatGPT becomes a top consumer AI product in under 3 years. Analysis of its growth drivers, monetization challenges, and industry impact.

AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.

Exploring how AI builds cognitive computational models from human spatial reasoning experiments, analyzing LLM spatial cognition gaps and Embodied AI applications.

A reported 3-word prompt jailbreak of Claude Opus 5 sparks debate. We analyze the technical nature of LLM jailbreaks, alignment fragility, and defense-in-depth strategies for enterprise AI security.