# AI Updates: Fable 5.2 vs Opus 5.5, Notion's Breach and Jane Street's Tutor A stronger AI model is not automatically the better buy. Anthropic's Fable 5.2 beats Opus 5.5 on most of its own tests but costs twice as much, so match the… **Published:** 2026-11-10 · **Author:** Yash Thakker **Source:** https://explainx.ai/newsletter/ai-updates-fable-5-2-vs-opus-5-5-notions-breach-and-jane --- > **In short:** A stronger AI model is not automatically the better buy. Anthropic's Fable 5.2 beats Opus 5.5 on most of its own tests but costs twice as much, so match the model to the job and compare the cost of each finished task. ## Picking the Right AI Model ### Anthropic's new Fable beats Opus, at double the price Anthropic released Claude Fable 5.2 on November 9. In Anthropic's own tests, it beats its older model, Opus 5.5, on 11 of 12 measures. It also costs twice as much for each unit of text it reads or writes. The idea to learn is routing: send hard, long jobs to the stronger model and routine jobs to the cheaper one. Anthropic says Fable matched Opus on one coding test at about half the cost per task. A separate test found Fable spent far more on one drawing task. All scores come from the lab. **Why it matters:** The better buy is the model that finishes your task for less money, not the one with the top score or the lower price tag. **What you can do:** Run the same 20 to 50 real tasks through both models. Compare how many each one solves and what each costs before you switch. [Source](https://explainx.ai/blog/claude-fable-5-2-vs-opus-5-5-benchmarks-cost-routing-which-model-2026) ## AI News Briefs ### Notion says a vendor breach exposed some AI chats Notion told some customers that data taken from its AI vendor, Fireworks, included Notion AI chat transcripts. Notion says fewer than 1% of workspaces may be affected and that no other workspace data was. The details come from a customer email posted online. Notion has not published its own notice yet. **Why it matters:** If anyone pasted a password or key into an AI chat, treat it as exposed and change it. The weak spot was a vendor, not Notion itself. [Source](https://explainx.ai/blog/notion-ai-fireworks-chat-transcripts-exposed-november-2026) ### Open-source llama-modchip runs big AI models without a GPU A GitHub project called llama-modchip says it can run DeepSeek-V4-Flash, a very large model, on a 64 GB desktop with no graphics card. Its author reports about 9 to 11 tokens per second, where a token is a small chunk of text. Standard tools cannot open its files. **Why it matters:** Running big models on hardware you own could mean less reliance on cloud services. These are one maintainer's numbers, so wait for independent tests. [Source](https://explainx.ai/blog/llama-modchip-64gb-cpu-deepseek-fractal-gguf-inference-guide-2026) ### Jane Street publishes a free AI tutor skill Trading firm Jane Street released agent_skills on GitHub under the MIT license, which lets anyone reuse it. Its first skill, socratic-tutor, makes an AI teach by asking questions, testing you first and tracking your level from 0 to 5. It starts only when you ask to be taught. **Why it matters:** A skill is a plain text file of instructions, so you can read exactly how it behaves. This one is built not to flatter you. [Source](https://explainx.ai/blog/janestreet-agent-skills-socratic-tutor-github-2026) ## Upcoming Workshops ### Claude for Work: Become Your Team’s AI Person ![Claude for Work: Become Your Team’s AI Person](https://explainx.ai/workshops/covers/square/claude-for-work.webp) *Live workshop · Nov 28–29, 2026* A beginner workshop over two live evenings, with no coding needed. You practise building a Claude Project loaded with your documents and tone, writing an agent skill your team can install, making a prompt library and connecting Claude to the apps you use. [Source](https://explainx.ai/workshops/claude-for-work) ### Microsoft Copilot & Copilot Studio: Work Faster, Then Automate It ![Microsoft Copilot & Copilot Studio: Work Faster, Then Automate It](https://explainx.ai/workshops/covers/square/microsoft-copilot.webp) *Live workshop · Dec 20–21, 2026* Two live evenings for beginner to intermediate learners. You explore Microsoft 365 Copilot, use it inside Excel and other Microsoft apps, put Copilot Cowork to work, then build automations in Copilot Studio. [Source](https://explainx.ai/workshops/microsoft-copilot) ## Reader poll How do you choose which AI model to use for a task? - I pick the most powerful one - I pick the cheapest one that works - I use whatever my app gives me - Not sure ## Sources - [Claude Fable 5.2 vs Opus 5.5: Benchmarks, Cost and When to Switch](https://explainx.ai/blog/claude-fable-5-2-vs-opus-5-5-benchmarks-cost-routing-which-model-2026) - [Notion AI Chat Transcripts Exposed in Fireworks Breach: What Notion Says](https://explainx.ai/blog/notion-ai-fireworks-chat-transcripts-exposed-november-2026) - [llama-modchip: 64 GB CPU Path for DeepSeek-V4 and 30B MoE GGUF](https://explainx.ai/blog/llama-modchip-64gb-cpu-deepseek-fractal-gguf-inference-guide-2026) - [Jane Street Open-Sources agent_skills With a Socratic Tutor SKILL.md](https://explainx.ai/blog/janestreet-agent-skills-socratic-tutor-github-2026) - [Claude for Work](https://explainx.ai/workshops/claude-for-work) - [Microsoft Copilot & Copilot Studio: Work Faster, Then Automate It](https://explainx.ai/workshops/microsoft-copilot) --- From [explainx.ai](https://explainx.ai/newsletter). 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