Anthropic released Claude Fable 5 on June 9 — the first publicly available Mythos-class model, one tier above Opus. What it is, what it costs, the June 22 deadline on the subscription window, and what changed when I pointed three real projects at it for a day.
Anthropic 6/9 釋出第一個公開的 Mythos 級模型 Claude Fable 5。這篇整理它跟 Opus 4.8 的關係、定價、6/22 截止的訂閱免費期，加上第一天把三個專案丟給它跑的心得：它對治理流程的遵守程度是真的，token 也是真的兇。
流程裡那些閘門其實不在執行時擋住 AI agent，它要的是一張改不掉的收據。真正有牙齒的不是閘門，是記錄抹不掉、賴不掉。
Claude Code 5/28 釋出 dynamic workflows，跟 Opus 4.8 同一天上。比起「能開 1000 個 subagent」那個數字，更關鍵的是 orchestration 那段 JS 是 Claude 寫的、不是 Claude 在跑——這件事其實滿值得想一下的。
Claude Code's new dynamic workflows hand the orchestration plan over to a JavaScript script that Claude writes. The runtime executes it with up to 1,000 subagents — 16 concurrent — and Claude's context only sees the final cross-checked answer.
叫 AI 數 strawberry 有幾個 r，它曾經很有自信地答錯。新模型現在大多答對了，但它當初為什麼會錯——用一個積木的比喻聊聊，順便講為什麼那個原因到現在還沒真的消失。
AI's most dangerous trait isn't that it's wrong sometimes. It's that its tone when wrong is identical to its tone when right. Here's my plain-language take on why, including why it won't just say 'I don't know'.
Not a benchmark or a verdict on which AI is best — just the small habits I picked up from keeping ChatGPT, Claude, and Gemini all open: route by task, give context first, don't expect one perfect answer, and verify the confident-sounding stuff.
AI 最會唬人的地方，不是它會錯，是它錯的時候那個口氣跟講對的時候完全一樣。用『它一直在猜下一個最順的字』這個角度，白話聊聊為什麼篤定不等於知道。
沒什麼大道理，就是同時用 ChatGPT、Gemini、Claude 一陣子之後，自己順手摸出來的幾個小習慣。不同事丟不同家、先講清楚再問、別期待一次到位這類的。