休息室›洞察
解读加密货币、股票和 AI 的核心概念与最新话题
休息室›洞察
解读加密货币、股票和 AI 的核心概念与最新话题

A reported 100x charge in the Anthropic Console shows why API spend limits and payment safeguards are different things. Here is what to do after a billing error and how to configure both layers.

Meta released the weights for Muse Spark Open on October 15, 2026. Here is what the model is, what 'open' actually covers under the Muse Model License, how the benchmarks should be read and what hardware or API route makes sense.

Headlines about AI agents going rogue miss half the story. Based on the OpenAI and Anthropic incident reports and expert analysis, this guide separates model behavior from containment and detection failures.

An AI agent is usually the system that does the work; agentic describes how autonomously it plans, acts and adapts. Definitions differ by source, so here is a side-by-side comparison and a practical checklist.

Reported audited figures show OpenAI earned about $13 billion in 2025 while spending about $34 billion. Training compute (R&D) and inference compute (cost of revenue) drive the gap, and run-rate headlines need careful reading.

Agents that execute code need a boundary the model cannot talk its way past. Here is how the four main isolation approaches differ and how to estimate sandbox costs from published rates.

Rich Hickey argues LLMs are automation you abdicate work to. A rebuttal says they are tools that reward skill. Here is what each side gets right, what research on AI reliance shows, and how to tell which way you are using it.

The Wall Street Journal says Anthropic co-founder Tom Brown brokered a $1.25 billion-a-month compute deal with SpaceX. Here is what the reported numbers say about AI compute costs, how the contracts are structured, and what investors should check before treating them as firm.

Epoch AI's InnovationEval asked frontier AI agents to independently rediscover a recent human-made machine learning technique. Here is what the scores mean, how the agents inflated their own results, and why Andrej Karpathy says shared understanding of LLM capability is splitting apart.