ElevenLabs launched ElevenLabs Reader.

PLUS: Give OpenAI all your data


Good morning, human brains, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

  • Whisper sweet nothings to me, bot 🤖 🔊

    ElevenLabs launched a hands-free reading app.

  • Give OpenAI all your data 🫣 💻

    ChatGPT’s desktop app is available to all.

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Peep today's ‘What Would You Do?’ at the bottom. 👇


Whisper sweet nothings to me, bot 🤖 🔊

Yesterday, ElevenLabs launched ElevenLabs Reader. It allows you to use AI to read articles, books, documents, and more.

I like big books and I cannot lie. 🤓 📚

What’s the point?

It allows you to “read” any written content hands-free instead of looking at your phone, which is unsafe or impractical.

What’s so great about it?

ElevenLabs’ synthetic voices are some of the best available. You can select voices from different genders, ages, use cases, and more categories. Early testers claim the voices are high-quality and consistent.

How much does it cost?

It’s free for the first 3 months.

How can I use it?

It’s currently only available in English for iOS users in the US, UK, and Canada. ElevenLabs says they’ll be adding more languages and an Android app.

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Give OpenAI all of your data 🫣 💻

Return of the Mac. 🖥️ 🤓

What’s the point?

It allows you to use ChatGPT natively on your Mac by pressing Option + Space. You can ask ChatGPT about documents, images, something on your screen, and more.

Does it use OpenAI’s new voice engine?

Nah. OpenAI demoed that in May, but announced today that it’s delaying the model’s launch.



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Think Pieces 🧠

Transformers can learn implicit reasoning (“grokking“). They excel in comparison tasks but struggle with composition tasks.

Startup News 💰

Created by Humans, launched. It’s a marketplace for creators to license their intellectual property to AI models, bypassing legal battles over copyright.

Research 👨‍🔬

Stylebreeder — dataset of 6.8M images and 1.8M prompts that enhances creativity and personalization in digital art through text-to-image models.

∇2DFT — a dataset for drug-like molecules. It enhances drug discovery with extensive molecular data and benchmarks for neural network potentials.


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