🧙🏼 ChatGPT Canvas can run code

Howdy, wizards.

Here’s what’s brewing in AI today.

DARIO’S PICKS

1. ChatGPT Canvas is now available to all, and can run code

Day 4 of OpenAI's "shipmas" brings a major Canvas upgrade, making ChatGPT's split-screen mode a more powerful writing and coding companion.

Here’s what’s new:

• Canvas is officially out of Beta and now available to anyone – even free users. It integrates natively with GPT-4o, so you can trigger it with a prompt instead of having to manual select a separate model for it.

• There’s now a Python integration which lets ChatGPT execute code right inside Canvas. It even supports real-time debugging.

• ChatGPT can now highlight parts of your writing inside Canvas and leave you feedback in a very smooth way—check out this demo to see it.

• Custom GPTs can now use Canvas too! GPT builders can enable it in the GPT editor alongside DALL-E, code interpreter and web browsing.

‎ Why it matters‎ ‎ Canvas will make it more intuitive to write and code with ChatGPT. The ability to run code also means they’re catching up to Claude, which has been able to do this for a while through the Artifacts feature. Last, but not least, I’m excited to see the addition of Canvas for custom GPTs – there’s a ton of these related to coding and writing which could benefit from enabling Canvas.

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DARIO’S PICKS

2. Meta's releases Llama 3.3 and some interesting stats

Earlier this week, Meta released Llama 3.3, an open, 70B text model that rivals GPT-4o and Gemini Pro 1.5 on several benchmarks.

It performs similarly to the much bigger Llama 3.1 405B, with the important difference that it’s 10x cheaper than its predecessor, and 25x cheaper than GPT-4o.

According to Mark Zuckerberg, Meta AI is on track to becoming the most used AI assistant in the world with 600M active monthly users.

Zuck also said Llama 4 is currently being trained in their $10B data center in Louisiana and planned for release some time in 2025.

‎ Why it matters‎ ‎ Meta is showing that open LLMs are up there in terms of performance with their closed, frontier-level counterparts—but way more affordable. This is good news for builders and users. There’s a pressure on prices building at the model layer of AI, and companies are increasingly differentiating in terms of user interface and features, rather than pure horsepower (think ChatGPT Pro which includes Sora now, or Perplexity which is going all out as a premier search engine).

Also, Meta AI now has—with some assumptions—roughly half the number of active users ChatGPT has (Altman cited 300M weekly actives last week). Surely, the growth has been helped a lot by Meta’s unparalleled distribution through Messenger, Insta and WhatsApp.

THAT’S ALL FOLKS!

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