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- ⚙️ OpenAI unveils GPT-4o, its 'best model ever'
⚙️ OpenAI unveils GPT-4o, its 'best model ever'
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Good Morning. In case you don’t follow Roaring Kitty on Twitter, he posted again for the first time in years … and all of a sudden, meme stocks seem to be back. (Roaring Kitty is credited with the rise of the meme stock way back in 2021).
And OpenAI made its first big product unveil in a while (and Google tried its best to steal OpenAI’s thunder).
In today’s newsletter:
🤝 Apple & OpenAI partnership is a ‘done deal’
📱 Your Instagram posts power Meta’s AI models
📄 New Paper: AI and its risk to democracy
💬 OpenA is making AI ‘from the movies’
One more day until #GoogleIO! We’re feeling 🤩. See you tomorrow for the latest news about AI, Search and more.
— Google (@Google)
4:22 PM • May 13, 2024
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Apple & OpenAI partnership is a ‘done deal’
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Image Source: Apple
Bloomberg’s Mark Gurman reported over the weekend that Apple and OpenAI are “finalizing terms” for a partnership that would see OpenAI’s tech integrated into iOS 18. Apple has reportedly held similar talks with Google regarding its Gemini tech; these discussions remain ongoing.
Then, on Monday, Wedbush’s tech team referred to the pending partnership as a “done deal.”
Wedbush tech analyst Dan Ives expects Apple to officially unveil the partnership (and an OpenAI-enhanced Siri) on June 10, during Apple’s Worldwide Developer Conference.
“Ultimately, an OpenAI partnership is much more significant and foundational for Cook's AI strategy than a Google Gemini deal,” Ives said.
This is the Apple AI strategy:
A) On-device LLM (in house)
B) Cloud-powered LLM (in house)
C) Chatbot (OpenAI for sure, Google maybe).Apple isn’t building its own chatbot but knows the market wants it so it’s going elsewhere for it. It’s the same playbook as search.
— Mark Gurman (@markgurman)
1:00 AM • May 12, 2024
Both Ives and Deepwater’s Gene Munster said Apple stands to make a lot of money from such a deal. Munster likened it to the Apple-Google search deal (Google pays Apple 36% of its search advertising revenue from Safari).
Apple did not respond to my request for comment.
Your Instagram posts are giving Meta’s AI an edge
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Image source: Meta
Meta’s Chief Product Officer Chris Cox, speaking at the Bloomberg Tech Summit last week, said that Meta has one big edge when it comes to its AI image generators: Instagram.
The company’s advantage is the “public images that have been shared on Facebook and Instagram,” Cox said. “We don’t train on private stuff, we don't train on stuff that people share with their friends; we do train on things that are public.”
Cox said that the sheer quantity and quality of Instagram as a dataset —everything from photos of fashion to photos of people — is why Meta’s AI image generators are of such “amazing quality.”
Meta’s privacy policy:
Meta’s privacy policy states that it gets AI training data from a few sources: public information on the internet, licensed content and “information from Meta’s products and services.”
It is unclear if photos posted on private accounts are included in the training data; Meta did not reply to a request for comment on this point.
One more thing:
For a while now, our data has been scraped, packaged, and sold as a cost-of-admission to the internet — for years, we scrolled to the bottom of terms’ of service and clicked “I agree,” because if we didn’t agree, we couldn’t use Twitter, or YouTube, or insert any other app/website here.
Over the past 12 months, that system has gradually evolved into one where our content – in addition to our data – is being scraped as an increased cost of admission for using these platforms. They got us in; then they changed the rules. And at this point, I don’t think too many people are going through updates to Instagram’s terms of service.
Cox said he thinks transparency “is an area we all need to work on.”
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New Paper: AI & the epistemic risk it poses to democracy
Image Source: Unsplash
The proliferation of AI which we are currently experiencing is one that will have more than a few impacts; we might soon see fleets of cars that can drive themselves; we might soon see novel drugs that could be lifechanging for countless people; and we are at the cusp of a world in which machines could become the middle man (thing?) between humans and information.
John P. Wihbey, an associate professor of media innovation and tech at Northeastern University, argued in a recent paper that an environment where human knowledge and information become “mediated by machines” is one that poses an epistemic risk to democracy.
Read the paper here.
Some highlights:
"The very structure of AI, namely the building of predictive models based on past data, is fundamentally in conflict with basic aspects of democratic life, which is inherently forward-looking.”
He argues that the question at hand concerns the potential loss of societal knowledge as “machines begin assuming the tasks of refereeing public conversations.” The thing that he says will be lost is a touch of humanity; “what people think, how they argue and the preferences they reveal as they debate.”
He says there must remain a space to “preserve human cognitive resources that are not substantially shaped by AI-mediating technologies.”
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OpenAI is making AI ‘from the movies’
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The moment you’ve all been waiting for – it’s not Search, it’s not GPT-5 … It’s GPT-4o, an omni-modal evolution of ChatGPT that, according to Sam Altman, feels like the AI from the movie Her. The model can receive text, image and audio input and can produce similarly multi-modal output (through vocal conversations with users).
Key points:
Gpt-4o will be rolled out for free to ALL users.
Free users will have smaller message restrictions than paying users.
The model, which Sam Altman called the “best model in the world,” is twice as fast as GPT-4 turbo, and half the cost in the API.
“It feels like AI from the movies; it’s still a bit surprising to me that it’s real,” Altman said.
& Altman’s nod to investors: “We are a business and will find plenty of things to charge for.”
During the demo, the new model appeared to interpret an OpenAI employee’s emotion based on a selfie.
The use of this in a workplace/education setting is prohibited by the EU AI Act.
The demo also featured live, instantaneous language translation.
Though OpenAI acknowledged the new safety challenges posed by the audio component of the model, it said that it has established (vague) safety guardrails to protect against misuse and is shipping the product (with voice limitations) anyway.
A desktop app is also incoming.
Say hello to GPT-4o, our new flagship model which can reason across audio, vision, and text in real time: openai.com/index/hello-gp…
Text and image input rolling out today in API and ChatGPT with voice and video in the coming weeks.
— OpenAI (@OpenAI)
5:30 PM • May 13, 2024
AGI or just a lot of training data?
GPT-4o appears to be another step toward the appearance of synthetic reasoning.
We still don’t know the specifics of OpenAI’s training set, which limits scientists’ ability to understand just how powerful (or not) its models are (and poses questions of data privacy/copyright violation in one).
As software engineer Grady Booch said: “By the very nature of its architecture, no LLM can reason.”
“One might see dim reflections of inductive and deductive reasoning only in so far as the training data set contains such examples, but abductive reasoning — indeed any color of reasoning that requires the production of new abstractions — is unreachable…”
“To think this is an AGI or even a path to AGI is folly.”
A couple of thoughts here:
The first thing that occurred to me is that this is a demo; often, demos don’t seem to translate too well to users. I’m very curious to see just how usable this is as it rolls out (let me know if you start messing around with it).
The other first thing that occurred to me revolves around hallucinations, which are a reality of the LLM architecture. This multimodal expansion seems to create a series of new avenues for incorrect information to make its way to people; i.e. translating, or using ChatGPT as a math tutor.
Selling reliability on a potentially unreliable tool seems like something other than the best path forward. That said, yeah, the demo was impressive, specifically the speech synthesis; very fast and very smooth.
“If OpenAI had GPT-5, they would have shown it,” cognitive scientist Gary Marcus said. “They don’t have GPT-5 after 14 months of trying … evidence that we may have reached a phase of diminishing returns.”
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One last thing👇
On this day in 1976: Breakout was released.
Atari engineer Steve Jobs asked friend Steve Wozniak to help design a game.
Wozniak, who worked at HP, created it during his spare time.
It was a hit.
And it inspired Woz to build a computer.
— Jon Erlichman (@JonErlichman)
10:01 AM • May 13, 2024
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-Ian Krietzberg, Editor-in-Chief, The Deep View