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This Free Google AI Turns Your Boring Documents Into a Podcast

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Picture this: you upload a 40-page report you have been dreading, click one button, and a few minutes later two AI hosts are casually discussing it like it is the hot topic of the day. They joke, they interrupt each other, they explain the tricky parts in plain English. It sounds like a real podcast. Nobody recorded anything. This is not a startup demo or a $20-a-month trick. It is NotebookLM, Google’s free AI research tool, and its Audio Overviews feature is honestly one of the wildest things AI can do right now. What Is This AI Podcast Trick? NotebookLM is Google’s notebook-style AI assistant. Instead of chatting with a general AI that pulls answers from everywhere, you feed it YOUR documents — PDFs, Google Docs, web links, YouTube video transcripts, even pasted text — and it only talks about what you gave it. That grounding is what makes it trustworthy: every answer traces back to your sources. Audio Overviews take those sources and generate a podcast-style conversation between two ...

OpenAI Just Launched GPT-6.1 Sol — Near-Flagship Smarts at One-Fifth the Price

GPT-6.1 Sol launch cover — near-Astra performance at one-fifth the price

OpenAI logo

What just happened

On the biggest stage of its year — the DevDay 2026 keynote in San Francisco — OpenAI launched a new AI model called GPT-6.1 Sol. It's not the flashiest thing announced at the event (that was Dots, the always-on agents), but it might be the most useful one for anyone building with AI.

Near-flagship brains, fraction of the bill

GPT-6.1 Sol sits between the workhorse GPT-6 Luna and the flagship GPT-6 Astra. OpenAI says the new model comes close to Astra on demanding tasks like coding, debugging, understanding documents, and multi-step jobs — while costing about one-fifth per task. On the DeepSWE 1.1 coding benchmark, GPT-6.1 Sol matched Astra while running roughly five times cheaper. For the average person, think of it as first-class answers at an economy price.

Fewer made-up answers

OpenAI also reports the new model hallucinates less. When using its "low reasoning effort" setting, factual mistakes fell from 11.4% to 7.7%. Its error rate is now within 1.9 percentage points of Astra across reasoning settings. It also claims to fail less often when told to stay within limits, flag broken tools, and avoid doing things it wasn't authorized to do. Coming right after OpenAI shelved its even bigger GPT-6.1 Astra over safety concerns, this feels like a deliberate message: speed and smarts, but safer.

Where you can get it

Starting today, GPT-6.1 Sol is available to Plus, Pro, Business, Enterprise and Edu users in ChatGPT Work and Codex. Developers can use it through the API as gpt-6.1-sol. It's not in the regular chat window yet. OpenAI also teased an "Ultrafast" version coming soon that should generate tokens up to eight times faster inside Codex. API pricing is $2 per million input tokens, $10 per million output tokens, and just $0.10 per million cached input tokens — a 95% discount.

The take

This is the price war in action. Anthropic just made Claude Sonnet 5.5 faster and cheaper; OpenAI is answering with a model that's nearly as good as its best at a fraction of the price. For beginners, the practical upshot is simple: better AI tools are about to cost less — whether you use them directly or they power the apps you use.



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