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Microsoft Just Launched Decision-1 — An AI Model That Doesn't Write, It Decides

Microsoft's CEO just introduced a new kind of AI model. It doesn't chat, summarize, or write essays — it decides. Satya Nadella announced Microsoft-Decision-1 on Friday, October 9, calling it "our new model for fast decision-making." It is a purpose-built decision-scoring model, and it is available now through Microsoft Foundry. What it is Instead of generating open-ended text, Decision-1 takes a fixed set of options and returns a calibrated probability for each — a yes/no answer, a multiple-choice pick, a rating score — through a structured API call. It can also grade AI responses and agent actions against a rubric. Microsoft built it by post-training Qwen3.5-9B, the open-weight nine-billion-parameter model, for single-pass decision scoring. The company says it plans to rebase the system on other models later, including its own MAI models and OpenAI technology. What it can do The target is the unglamorous plumbing behind AI agents: routing support tickets, classifyin...

NotebookLM vs Perplexity: Which AI Research Tool Is Worth It in 2026

NotebookLM vs Perplexity AI research tools comparison illustration

Doing research with AI in 2026 mostly comes down to two names: NotebookLM and Perplexity. They sound similar, but they do completely different jobs. One reads your documents. The other reads the whole internet. Pick the wrong one and you'll waste hours. Here's how they actually compare — real prices, real strengths, and which one fits your life.


NotebookLM: your documents, turned into an expert

NotebookLM is Google's free research assistant. You upload your sources — PDFs, Google Docs, web pages, even YouTube videos — and it answers your questions using only those sources. Every answer comes with citations pointing back to the exact document it came from, so you can always check its work. Its best tricks are genuinely fun: Audio Overviews turn your documents into a two-host podcast-style discussion, plus Mind Maps, Study Guides, Flashcards, Quizzes, Slide Decks, and Deep Research for pulling verified points from the web. The free plan is generous: 100 notebooks, 50 sources per notebook, 50 chat questions a day, and 3 audio overviews a day. Paid tiers bundle with Google AI plans — Plus at about $4.99 a month, Pro at $19.99 a month — raising notebooks and sources and multiplying your usage. Best for: students studying from class materials, anyone writing a paper or report, and teams working from internal documents.


Perplexity: the internet, with receipts

Perplexity is an AI answer engine for the live web. Ask it anything and it searches, reads, and summarizes current web sources — every answer lists its sources as clickable citations, so nothing is a leap of faith. It's built for freshness: breaking news, current prices, policy changes, the stuff plain chatbots get wrong. The free plan gives you unlimited basic searches, a few premium Pro searches a day, and limited Deep Research. Perplexity Pro costs $20 a month (about $17 a month on annual billing): unlimited Pro Search, 20 Deep Research runs a day, your pick of models like GPT and Claude, file uploads, and image generation. There's a $10-a-month education plan for verified students and a $200-a-month Max tier for heavy agentic work — most people never need that. Best for: keeping up with news, fact-checking claims, product research, and anything where "what's true right now" matters.


Pricing, side by side

Both have genuinely useful free tiers — you can do real research on either without paying a cent. NotebookLM's free tier covers personal study easily (100 notebooks is a lot of classes). Perplexity's free tier handles everyday questions fine. If you upgrade: NotebookLM Plus starts at about $4.99 a month, one of the cheapest AI subscriptions around, while Perplexity Pro is $20 a month, the standard price for a premium AI plan. Prices change fast in this industry, so check the official pricing pages before you commit.


So which one should you pick?

It comes down to where your information lives. If the answers sit inside your own materials — lecture notes, a textbook, company documents — NotebookLM wins. It reads what you give it and never improvises from the open web. If the answers are out on the internet — news, stats, reviews, prices — Perplexity wins. It's always current and always cited. The honest move: use both free plans and only pay when you hit a limit. Plenty of people do their deep research in NotebookLM and their fresh research in Perplexity, and never spend a dollar.


AiPost's take:

research starts with the question, not the tool. NotebookLM makes your documents smart. Perplexity makes the internet trustworthy. Know which kind of research you're doing, and the choice is easy.

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