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

DeepInfer is the engine DeepSeek uses to serve its own models, now open source under Apache 2.0. It targets one model and two hardware platforms and leaves out the KV cache and load-balancing layers, so it is not a drop-in vLLM or SGLang replacement.

Text that never appears on screen can still reach an AI model. Using the WhatsApp help page findings from October 2026, this guide explains hidden LLM instructions, how they relate to indirect prompt injection, what is confirmed, and how to check AI answers.

Why Quantus (QTC) is trending, why only about 1.4% of its 21 million cap circulates, what the September 2027 unlock means, where it trades, and how to avoid fake QTC tokens.

Most LLMs write one token at a time. Diffusion LLMs start from a fully masked answer and refine it in parallel. Here is how that works, what Inception Labs claims for Mercury 3, and where the trade-offs show up.

AI safety alarms are neither all hype nor all fact. Using the October 2026 AI worm debate, here is how to separate what experiments showed from what is only a forecast.

Workflows run LLM calls along code paths you define; agents let the model choose tools and steps in a loop. Here is how the trade-offs compare and how to pick, based on Anthropic and OpenAI guidance.

How Puffer Finance turns staked ETH into pufETH, how withdrawals work, what the PUFFER governance token controls, and what to check on supply and slashing risk after its October 2026 Upbit listing.

Before you trust a bitcoin price target, check who published it, how they profit, which model and data sit behind the number, and whether they ever got it right before.

Passing tests do not mean you can fix the code when it breaks. Here is a practical pre-deploy routine for AI-written changes, plus what comprehension-check hooks like Sphinx can and cannot do.