Tag
A forward-looking article discussing common pitfalls and outdated practices to avoid when building AI agents in 2026, along with trends that have already faded.
This article argues that failures in AI agent systems can be understood through the lens of distributed systems, drawing parallels between agent behavior and classic distributed system problems.
SemiAnalysis argues that Kimi K3's linear attention (KDA) is not detrimental to NVIDIA, HBM, DRAM, and networking, contrary to uninformed panic, and explains why reduced KV-cache requirements are actually beneficial.
The 1752vc Pitch Deck Analyzer provides AI-driven feedback on startup pitch decks, trained on over 25,000 real decks to help entrepreneurs identify fundability issues before investor outreach.
An analysis of the current practical capabilities of AI voice agents and the tasks they perform well today.
An opinion piece arguing that the AI industry is a pyramid scheme that is already collapsing, and suggesting potential fixes.
Analyzes the data that xAI's Grok build CLI sends back to xAI, examining network traffic for privacy implications.
An analysis of the origins and sources of the most widely used AI models, exploring where they come from and what drives their adoption.
A discussion or revelation about an often-overlooked truth or aspect of AI agents.
An article explains how NVIDIA rack names are structured for non-technical readers, then analyzes SemiAnalysis's recent post to clarify implications about midplane yields.
The article applies Stewart Brand's Pace Layers framework to the AI ecosystem, categorizing different components by their rate of change from fast (prompts, skills) to slow (energy, human data) and discussing how friction between layers shapes the industry.
This paper analyzes open language model adoption, finding that Chinese models led by Qwen now dominate downloads, surpassing US models by March 2026. Qwen's lead comes from a diverse range of model sizes, while DeepSeek leads in very large models, and some US models still show strong momentum.
This blog post contrasts differential calculus (analysis) as algorithmic and easy with integral calculus (synthesis) as non-algorithmic and difficult, drawing parallels to broader themes in mathematics, computer science, and AI training via automatic differentiation.
Analyzes hundreds of cloud service outages to derive lessons on improving reliability and understanding why cloud computing fails.
An analysis exploring the rationale behind continued investment in Intel for AI, despite competition and challenges.
This article explores why independent AI evaluation startups rarely succeed, citing talent drain to more lucrative parts of the stack, a narrow customer base, and optimization pressures that degrade eval utility.
A guide on building a custom AI agent for real estate market analysis.
An observation that many AI startups may be unaware of their financial losses, highlighting a potential issue in the startup ecosystem.
A commentary arguing that all AI memory solutions, such as RAG and vector databases, are fundamentally just specialized tests or evaluations.
Marc Andreessen redefines SpaceX as a civilization infrastructure company that integrates AI, energy, and space, rather than a pure rocket launch company.