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Sam Altman reportedly looks to raise billion for new chip venture

ALSO: How to do research with AI

Read time: under 4 minutes

Welcome back, Superhuman

It’s a Monday and that can only mean one thing in AI: Sam Altman is at it again. The CEO behind the company that built ChatGPT and GPT-4 is reportedly in talks to build another company.


  • Sam Altman in talks to raise billions for new venture

  • How to do research with ChatGPT

  • Chart: How the retail industry is implementing AI

  • Scientists unlock secrets of imagination and memory formation with AI

  • 5 new AI tools to boost your productivity

  • AI Generated Images: First contact with Big Foot


Today in AI & Tech

Source: Apple

Opting Out: YouTube joins Netflix and other major tech companies in decision to not release a dedicated app for the upcoming Apple Vision Pro (pictured above).

Get Smart: Microsoft releases tool for AI reading lessons.

Big Bills: Canva is set to raise more than $1.5 billion according to Bloomberg.

Fashion Forward: Clothing company Selkie defends use of AI in new dress collection amid backlash.

Bad Bot: In a first, OpenAI suspends bot developer for presidential hopeful.


Sam Altman in talks to raise billions for new venture, as OpenAI CEO looks to reduce dependency on Nvidia

Image source: CNN

Semiconductor chips are the secret spice that power the world’s leading AI models and Sam Altman wants more of them. The OpenAI CEO is reportedly in talks with multiple investors and manufacturers around the world to set up a network of chip fabrication plants.

Bloomberg and the Financial Times report that the move is designed to reduce OpenAI’s dependency on Nvidia chips, which are currently in short supply. Nvidia’s chips can cost as much as $30,000 a pop — and companies need thousands of them to train their AI models.

While OpenAI attracts most of the spotlight, Nvidia has so far been the runaway winner of the generative AI boom. The chip manufacturer builds the graphics processing units (GPUs) that power the world’s biggest AI models — including OpenAI’s GPT-4. The company has seen its market cap roughly triple and reach almost $1.5 trillion in the past year, making it the 6th biggest company in the world today by market cap.

If Altman’s move succeeds, the benefits could go beyond the immediate advantage of reducing OpenAI’s dependence on Nvidia. According to one estimate, it costs Nvidia $3,320 to make an H100 chip — that’s a lot of profit Nvidia is pulling in from its customers when you take into account the $30,000 retail price. OpenAI could potentially cut its chip costs by more than half if Altman can replace Nvidia’s supply with his own chips.


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How to do research with ChatGPT

Here’s how you can do research with ChatGPT:

  • Log in to your ChatGPT Plus account

  • Enable the Consensus GPT or access it directly here

  • Describe your topic of research and ask for sources

  • Wait for a few seconds, ChatGPT will generate a list of summarized research articles along with references

For the example above, I used the following prompt:

prompt: Is there any evidence to show that AI improves productivity in the workplace?


How the retail industry is implementing AI

Source: Forrester


Create video documentation 11x faster with AI

Tired of explaining the same thing over and over again to your colleagues? It’s time to delegate that work to AI. Guidde is a GPT-powered tool that helps you explain the most complex tasks in seconds with AI generated documentation.

  • Turn boring documentation into stunning visual guides

  • Save valuable time by creating video documentation 11x faster

  • Share or embed your guide anywhere for your team to see

Simply click capture on our browser extension and the app will automatically generate step-by-step video guides complete with visuals, voiceover and call to actions.

The best part? Our extension is 100% free. Try it here


Scientists unlock secrets of imagination and memory formation with AI

New advances in AI are helping scientists read our brains (well, sort of). Researchers at University College London’s Institute of Cognitive Neuroscience used an AI model known as a generative neural network to find how memories help us remember, imagine and plan.

The AI model featured networks representing the hippocampus and neocortex parts of the brain to understand how both areas interact with each other. The researchers found that instead of remembering events with complete accuracy, our brains imagine the past based on concepts, combining some stored details with our expectations about what might have happened.

According to the study, this process helps our brains pick up on patterns from past experiences that can be used to make future predictions. Extremely handy in situations where we use past patterns to make predictions about the future that help us avoid danger, find food and so on.


5 AI Tools to Supercharge Your Productivity

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Photify: Transform your selfie into thousands of different looks.

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Equals: Write, edit, and fix SQL queries, formulas, charts, and more right inside your spreadsheet.

Modelize AI: Generate custom workflows instantly for your team projects, marketing campaigns, and more.

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First contact with Big Foot

Midjourney prompt: ultra realistic, vintage photo, detailed features, 10 foot tall Big Foot standing with rural American farmers --ar 2:3 --stylize 250 --v 6.0

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