🍓 Friday Tech Updates + Everyone can Code! ✨ closes

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Martin Musiol & Daniel Aguspina
August 30, 2024

60 minutes to build a professional offline (secure) AI application from scratch, with the features you need and a professional UI, all without coding experience?

OpenAI’s next moves?

What is this Doom AI game everyone is talking about?

4500 developer years saved in Amazon? How does that make sense?

Read all of this below.

Reading time is 136 sec. Let’s go!

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Learn how to prompt AI so that it guides You to build what You want 🫵

Since yesterday, our Everyon can Code!✨ participants can now access all resources on building and packaging (secure) AI-offline applications.

In the right way, you can do it in under 1h, including a beautiful AI with v0.

This image shows an AI text analysis tool interface with a clean and modern design. The background is white, and the interface is simple and functional. At the top, the title "AI Text Analyzer" is displayed in bold black text. Below it, the instruction "Enter some text and click the button to analyze it." is written in a slightly smaller font. A large text input box is provided for users to enter the text they wish to analyze, with placeholder text that says, "Enter your text here...". Below the text input box, there is a large green button labeled "AI Analyze" in white text. The button is centrally aligned and spans almost the full width of the interface, giving it a prominent appearance. Below the button, there is a section labeled "Insights:" where analysis results would be displayed, but it is currently empty.

Version 1.

Using v0 you can quickly with natural language build different styles of your UI.

This image features an AI text analysis tool interface with a warm, retro-inspired design. The background is a light beige color, giving the interface a soft and muted appearance. The title "AI Text Analyzer" is displayed at the top in bold, dark brown text. Below the title, the instructions "Enter some text and click the button to analyze it." are written in a matching brown font, slightly smaller than the title. A text input box is positioned below the instructions, outlined in the same brown color with placeholder text that reads, "Enter your text here...". The input box has a minimalist design that aligns with the overall aesthetic of the interface. Directly beneath the text input box is a wide button labeled "AI Analyze" in brown text on a beige background, matching the rest of the interface. The button is visually distinct yet cohesive with the design theme. Below the button is a section titled "Insights:" intended for displaying the analysis results, but it is currently blank.

Version 2.

🚨 In two days, we release a lesson on building a professional RAG system—something companies pay millions to implement.

We let it build from scratch in under 60 min. - plug in the data you need, and connect it with the front end you want.

The AI does it.

Again, in under 60 minutes - let that sink in. Things have changed, many don’t know it yet.

⚠️ Enrollment window1  closes on September 1st permanently!

OpenAI Updates: Strawberry → Orion, and Further Funding ($100B)

New Model training GPT-4o’s successor

A futuristic spaceship with a sleek, elongated design is flying through space, uniquely adorned with large, realistic strawberries attached to its exterior. The ship has a pinkish hue and features multiple windows and structures along its body. The backdrop showcases a vibrant, star-filled galaxy with several planets of varying sizes and colors, giving the scene a surreal, whimsical quality. The overall image blends the fantastical elements of a fruit-themed spacecraft with the grandeur of outer space, creating a striking visual contrast.

OpenAI is preparing to launch a new AI model, codenamed "Strawberry".

This model is designed to solve complex mathematical and programming problems, as well as it will have further reasoning capabilities.

Strawberry is tied to OpenAI's Orion, GPT-4o's successor. Strawberry's key feature is generating high-quality synthetic data, vital for training Orion.

OpenAI showcased Strawberry to U.S. national security, highlighting its impact on security and AI transparency. Expected release: fall, possibly integrating into ChatGPT.

More funding for OpenAI

If you want to have stronger AI models, you need more computing power. Latest investments:

  • xAI/Elon Musk: Investing $6B in Memphis for a supercomputer with 100,000 Nvidia H100 GPUs, and more.

  • Meta: Expanding to 600,000 GPUs by 2024, including 340,000 Nvidia H100s, and more.

  • Google: Allocating $50B in 2024 for AI and cloud, backing initiatives like the Gemini AI model series.

OpenAI knows that of course and so they are in discussions to secure a new funding round that would value the company at over $100 billion.

Thrive Capital is leading this effort with an expected investment of about $1 billion, and Microsoft is also anticipated to participate. This would mark the largest capital infusion for OpenAI since Microsoft's $10 billion investment in January 2023.

Google’s GameNGen creates Doom (video game) in real-time

Google's rolled out an AI system called GameNGen, and it’s doing something pretty wild: simulating the classic game Doom without a traditional game engine.

Yeah, you heard that right—no engine needed.

This is a significant step in AI-powered game development and could shake up the entire gaming industry.

How does it work?

The steps involved:

  • Neural Engine: Runs on a neural model, using a TPU, generating gameplay at 20+ FPS.

  • Diffusion Models: Predicts and renders frames using generative AI.

  • Reinforcement Learning (Not from Human Feedback): Trained on Doom data to simulate game state updates.

  • Real-Time Play: Enables interactive gameplay with visual quality similar to the original Doom.

  • Limitations: Only works for Doom, with a memory span of ~3 seconds, affecting long-term stability.

Amazon's CEO says its AI tool has saved a crazy amount of time

(Source)

Amazon CEO Highlights Impact of Generative AI, Claiming 4,500 Developer-Years Saved Through AI Coding Advances

Amazon CEO Andy Jassy revealed that Amazon Q, the company’s generative AI assistant, saved 4,500 developer-years by slashing software upgrade times. The transition to Java 17, once a 50-day task, now takes just hours with Amazon Q.

You can be at the forefront within your organization, driving this productivity explosion.

(We close the enrollment window end of this week.)

Online course interface for learning AI-driven software development without coding, featuring progress tracker and lesson overview.

So excited about Everyone can Code!✨

It is the world's most enabling AI course.

Why most enabling? 
- You'll learn to build anything (software or feature).
- You'll be able to build your version 1 in under 1 hour.
- Build anything: web or mobile apps, browser extensions, AI applications (from secure offline SLM to RAG with LLMs!), and all kinds of frontends are needed.
- Most powerful: have access to THE Exclusive Community of AI Builders (Discord) đź¤ť We build projects together.

A new product development era starts: Build fast (e.g. 3 features), get real user reaction (e.g. pixel), kill all features but the winner. Rinse. Repeat.

If you are unsure about taking the course or not, I am happy to give you a call and we see together if it is for you. → [email protected] 

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That’s a wrap.

Have a good weekend!

-Martin

1  Enrollment window for batch 1.