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Here’s what’s brewing in AI today.
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OpenAI is off to a flying start on their 12-day “ship-mas”, introducing ChatGPT Pro and the full o1 model.
OpenAI’s most powerful model, o1, is officially out of preview. The full model will be available for all paid users (Plus and Team users from today, Edu and Enterprise next week). Key upgrades:
It’s a faster, more powerful model than 01-preview; it’s particularly better at coding, math and writing. They’re citing a 34% error-reduction on real-world questions.
Supports image uploads, ie you can upload photos & docs and have ChatGPT reason over them.
The report on the safety work done on the model, its system card, shows it maintains a “medium” risk.
Support for o1 in the API, including support for function calling, developer messages, structured outputs and vision is coming (but no date on this yet).
They’ve also launched a ChatGPT Pro subscription at a whooping $200/month. This includes a “pro mode” of the o1 model that’s even better than the regular o1, as well as unlimited access to all models and Advanced Voice.
The pro mode of o1 uses more compute to provide the best possible answer to the hardest problems (think difficult math and programming problems). Responses take more time so they have a progress bar and sends you in-app notification when they’re done.
Pro will be OpenAI’s tier where they’ll launch advanced capabilities that require a lot of compute to perform.
The Plus tier at $20/month isn’t going anywhere and is still the best choice for “almost everyone” according to Sam Altman.
Also, here’s what happens when you ask o1-pro to figure out a way to make money with the minimum amount of work.
Why it matters I ran some tests on the full o1 for a complex prompt I’ve been using o1-preview for lately that includes categorising and summarising articles. The response time is indeed faster, and the writing feels materially less AI-like. I’m excited about it!
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Earlier this week, Amazon announced a new set of AI foundation models under the name “Nova” which will be available as part of the Amazon Bedrock model library inside AWS. There’s 3 text models (Micro, Lite and Pro) currently available and 1 (Premier – their most capable one) is coming soon; they’ve also put out an image model (Canvas) and a video model (Reel). They’re also working on a speech-to-speech model.
Overall the models aren’t the best performing ones, though the Pro model is apparently up there with GPT-4o, Mistral Large 2, and Llama 3.
Why it matters Amazon is off to a late start in GenAI models, but they’ve got massive distribution/customer base, deep pockets and strong partnerships across AI, most notably with their $8 billion bet on Anthropic. While their own models are currently underperforming the leading frontier models, it doesn’t mean we should rule Amazon out as a key player in this space.
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Spotify Wrapped, the feature that lets you look at your listening stats for the year, has a new twist this year. You have a podcast with two AI hosts summarising your listening habits – top songs, artists, and genres of the year – powered by none other than Google’s NotebookLM.
Why it matters I just love a dirt simple, value-adding use case of AI when I see it.
PS three key people that worked on NotebookLM have just left Google to go make their own thing: Raiza Martin (Sr. product manager) and Jason Spielman (Designer) and Stephen Hughes (engineer).
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Don’t miss yesterday’s newsletter with curated upcoming trends in AI for 2025.
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This newsletter is written & curated by Dario Chincha.
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