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- 🧙🏼 OpenAI launches o1 🍓
🧙🏼 OpenAI launches o1 🍓
Also: o1 demos + a prompting guide
in partnership with
Howdy, wizards.
To welcome the weekend, OpenAI finally dropped their new model, named o1 (codenamed Strawberry).
Here’s what you need to know:
Dario’s Picks – OpenAI o1 special edition
OpenAI launches the o1 series of models, including o1-preview and o1-mini. They’re designed to spend more time thinking before they respond, which enables them to reason through complex tasks and problems.
The models are already available in ChatGPT for Plus and Team users. You’ll notice how the model takes its time to reason through chain-of-though before responding.
Sam Altman said this marks the beginning of a new paradigm, where AI can do general-purpose complex reasoning. And get this – the o1 model rank in the 89th percentile for competitive programming and exceeds PhD-level accuracy on benchmarks in physics, biology and chemistry.
There’s a caveat though: there’s weekly limits of 30 messages for o1-preview and 50 for o1-mini. This will probably increase over time. Browsing, file and image uploads aren’t currently available – but will also be introduced later.
In addition to the main o1 model, OpenAI also released the somewhat faster version named o1-mini for when extensive knowledge isn’t required. The mini version is also cheaper to use via API, for those building AI into their products.
Why it matters I personally can’t wait to start using these new models in my day to day work. My first impression is that it’s super cool to see the reasoning steps it uses, and I don’t think the slowness is too much of a problem if it can give me better answers. However, I see myself still relying on GPT-4o for two reasons: 1) the low weekly message cap on o1, 2) I typically drop dozens of screenshots to ChatGPT every day, and I can’t do that with the new model until it gets image and file uploads.
Read on for DEMOS and OpenAI’s tips for how to best prompt the new model.
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Preview videos of o1 doing its thing. OpenAI has created some short, illustrative videos on what makes the new model different. I’ve highlighted the coolest ones below.
OpenAI’s researchers talk about what training o1 and what makes it different to previous models (03:16)
Coding: Coding a video game from a single prompt (02:00)
Reasoning: Solving the famous trick question “how many r’s are there in strawberry” (01:28)
Translation: Translating a corrupted sentence from Korean to English (03:14)
Since the o1 model excels at reasoning, it’s perfect for different sciences. OpenAI also prepped some real-world demos on the potential of o1 in different fields:
From our partners
200+ hours of research on AI tools, prompting techniques & hacks packed in a solid 3 hour masterclass.
Prompting GPT-4o. Especially relevant to those planning to use the new model via API, OpenAI shared some docs on how to best approach this, especially since the thinking (“reasoning tokens”) eats up a bit of the context window, which could make the model confused on long texts.
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