Lounge›Insight
Key concepts and the latest issues in crypto, stocks and AI, explained
Lounge›Insight
Key concepts and the latest issues in crypto, stocks and AI, explained

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.

OpenCode warned some Console users that OpenAI, Anthropic and other provider keys saved in their workspaces may have been exposed. Here is how to tell whether you are affected and what to revoke, replace and review.

Leaked Amazon training documents describe Atlas, an in-house AI model that scores warehouses from 100 to 900 for union risk. Here is what the documents say, what Amazon denies, and how UK data protection and trade union law apply.

What DeepSeek V4.1 Flash 1017 is, what the model card actually says, how the benchmarks moved, how to call it through the DeepSeek API or OpenRouter, and what to check before running it yourself.