Open AI sheds light on their product roadmap

PLUS: Apple finally announces their AR Solution at WWC

Greetings, everyone! We're thrilled to present the inaugural edition of the Simply Augmented weekly newsletter. Join us as we delve into the fascinating world of AI and work productivity. Discover the key trends that are shaping industries and gain valuable tips and tricks to enhance your efficiency.

Unlock the potential of AI in your business by exploring innovative use cases. Get ready for a captivating journey filled with actionable insights and exciting possibilities!


Today we have a bunch of stuff from Open AI; they have announced their product roadmap and are starting to give an indication of what we can expect in the near future.

We also talk a little about Apple’s big AR announcement at WWC . For the productivity links, we cover tools and tips for the beginner and someone more technical, along with a deep dive marketing use case.

Let’s get to it.


OpenAI's recent discussion revealed an extreme GPU shortage impacting its API speed and scalability, and its short term plans.

Their 2023-2024 roadmap includes cheaper, faster GPT-4, extending context windows, enhancing the finetuning API, and introducing multimodality, with the latter depending on increased GPU availability.

OpenAI also clarified its stance on competition, as quite a few developers said they were nervous about building with the OpenAI APIs when OpenAI might end up releasing products that are competitive to them.

In the latest WWDC 2023 keynote event, Apple unveiled an array of innovative products and software updates that are set to transform our digital experiences.

The most notable introductions include the Apple Vision Pro headset, a groundbreaking device promising immersive experiences, and the 15-inch MacBook Air, expected to redefine portable computing.

In a significant move, Google DeepMind, OpenAI, and Anthropic have agreed to provide the U.K. government with priority access to their AI models for research and safety purposes.

This development aims to facilitate a more comprehensive understanding of the opportunities and risks posed by AI systems and strengthens the U.K.'s ambition to become an "island of innovation."


This is a great resource for newbies looking to get some foundational skills in AI and better understand how to ask the right questions of an AI model to get the best results.

Google’s learning path guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.


ChatGPT users may have observed that the AI assistant occasionally forgets earlier parts of long conversations due to its context window limitation.

The context window refers to the length of text an LLM can process at once. GPT-4's current context window is around 32k tokens, which translates to roughly 20k words that can be sent to and received from the LLM at any given time.

The AI company Anthropic recently expanded this capability by introducing a 100k context window for their assistant Claude, equating to around 75k words.

This means that an AI assistant can potentially process and summarize a short book in mere seconds. However, the efficiency of a larger context window isn't guaranteed. There are associated costs and the accuracy of responses may suffer, so the ideal size largely depends on individual use cases.

Marketing Social Content: Starting small with targeted posts

Harnessing the potential of AI has become a game-changer for organizations looking to enhance their marketing efforts. Often the first place that they start is in content creation.

While the concept of AI might seem daunting, it's essential to remember that starting small and testing the waters is an effective strategy.

Imagine having the ability to generate engaging and persuasive marketing content with minimal effort.

Generative AI tools like ChatGPT, or Phrasee, can assist businesses in automating various content creation tasks, such as writing blog posts, social media captions, or product descriptions.

By leveraging natural language processing algorithms (NLP’s), these tools analyze vast amounts of data and learn from existing content to generate high-quality output that closely mimics human-written text.

Starting small could mean experimenting with AI-generated social media posts or crafting automated email templates to gauge the effectiveness and time-saving potential of AI.

Begin by identifying specific marketing tasks that are time-consuming or repetitive and collaborate with your marketing team to outline clear objectives. Remember, the goal is not to replace human creativity but to augment it by prototyping lots of options quickly for A/B testing.

By integrating AI into your content creation process, you can save valuable time, improve efficiency, and focus your team's energy on more strategic and creative initiatives.

Start small, experiment, and let the power of AI unlock new possibilities for your marketing success.

Thats a wrap!

We’ll see you again next week. Please send us your thoughts and any ideas you have to improve this content. If you have any questions you can reach out to us at [email protected]


The Simply Augmented Team