Hey everyone, I decided to create a new sub-publication to focus solely on what’s going on in the Generative AI world. Of course, I will put my Jobs-to-be-Done twist to it. If this doesn’t interest you, you have the option of opting-out of AI Tomorrow while still subscribing to Practical JTBD. Actually, you can opt-out of Practical Jobs-to-be-Done and continue to get AI Tomorrow. It’s totally up to you. Here’s a link to manage your subscriptions and notifications

In this newsletter, we delve into the latest happenings in the world of generative AI. The Authors Guild has filed a lawsuit against OpenAI over copyright infringement claims, while a Morgan Stanley report projects an $80 billion boost in side hustle incomes due to generative AI. In the business arena, D-Matrix raises $100 million for custom AI chips and Character AI achieves a $1 billion valuation. On the tech front, Databricks releases Dolly for data analysis, and both Amazon’s Alexa and Google's Bard get generative AI upgrades. Lastly, Adobe enters the scene with Firefly, a new addition to its generative AI services.

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Recent News

John Grisham, George R.R. Martin and more authors sue OpenAI for ...

Authors Guild sues OpenAI over ChatGPT: A group of US authors, including George R.R. Martin, John Grisham, Jonathan Franzen and Jodi Picoult, have filed a lawsuit against OpenAI, the maker of ChatGPT, a generative AI chatbot that can mimic the style and content of any text. The authors claim that OpenAI used their books without permission to train ChatGPT, and that this constitutes copyright infringement and unfair competition. They seek damages and an injunction to stop OpenAI from using their works

Who is the end user and what outcomes are they seeking when Writing a story with with a known author’s style or voice?
What is the value this offers to an audience, or does it simply benefit the - fake - writer?

Morgan Stanley predicts generative AI will boost income from side hustles by $80 billion: A new report by Morgan Stanley estimates that generative AI tools, such as ChatGPT, Claude and Bing Chat, will help millions of workers take on second and third jobs, such as content creation, tutoring, customer service and sales. The report projects that generative AI will increase the income from side hustles by more than $80 billion in the next five years

I believe the smart workers will set themselves apart but getting more done, better than their peers in existing jobs.
Then next week we’ll see entirely new workflows designed around the capabilities of AI (it’s not almighty). Most experienced consultants understand that this will also require new operating models, otherwise it will just be an added expense.

D-Matrix raises $100 million to build custom chips for generative AI models: D-Matrix, a startup that develops custom chips for running large-scale generative AI models, has raised $100 million in a Series B funding round led by Playground Global. The company claims that its chips can deliver up to 10 times the performance and efficiency of existing hardware for generative AI applications, such as text, image, video and audio synthesis

There is nothing earth-shattering here. We are always in the pursuit of better performance, but how does Moore’s Law play into this? Does AI leap over that?

Free Dolly 2.0: The World's First Truly Open Instruction-Tuned LLM For ...

Databricks releases Dolly, a GPT-like model for data analysis: Databricks, a data analytics platform provider, has launched Dolly, a new generative AI model that can analyze and visualize large datasets using natural language queries. Dolly is based on the same architecture as GPT-3, but is trained on structured and semi-structured data sources. Dolly can generate charts, tables, summaries and insights from data in seconds

This is doing things that humans struggle to do quickly and accurately
While it gets the job done differently, does it get to the ultimate outcome, or just reproduce the components we already produce?

Character AI reaches $1 billion valuation with its generative AI platform: Character AI, a startup that offers a generative AI platform for creating personalized digital characters, has reached a $1 billion valuation after raising $200 million in a Series C funding round led by Andreessen Horowitz. The company uses generative AI models to produce realistic and expressive 3D avatars that can interact with users through voice, text and gestures. Character AI’s platform is used by gaming, entertainment and education companies

How many AI models do we need before we ask, “What problem are we trying to solve, and is it worth it?”
What Job-to-be-Done does an Avatar help you do?

Announcements

Amazon’s Alexa gets a generative AI facelift: Amazon has revealed that its voice assistant Alexa will soon be powered by generative AI models that can produce more natural and engaging responses. The new Alexa will also be able to generate personalized content, such as jokes, stories and games, based on the user’s preferences and history

Alexa allows me to manage an array of components that help me get jobs done.
The way I use Generative AI, however, is not really a conversation, so not useful.
Perhaps it will answer my one-off questions that pop into my head better than it does, but I prefer a textual output so it can be stored in my notes database

Google releases Bard, a competitor to ChatGPT, Claude and Bing Chat: Google has launched Bard, a new generative AI chatbot that can converse on any topic and generate content in various domains. Bard is based on Google’s T5 model, which has 11 billion parameters and can handle multiple natural language tasks. Bard is available as an API for developers and as a plugin for Google Workspace users

Again, how many models do we need?
The real question is, “Is it too late for the platforms that didn’t get out in front of AI?” Like Apple.

Adobe's Firefly: Adobe introduced the commercial release of Firefly as part of its Adobe Sensei generative AI services on September 13, 2023. Firefly will focus on generating text and image effects. It includes a new Firefly web application and native integration across Adobe Creative Cloud, Adobe Express, and Adobe Experience Cloud.

Is this targeting a diminishing number of end users as it replaces them?
How will this impact revenue models that are based on seats? Will corporate clients be forced to pay a premium when the use fewer seats? Just thinking out loud here.

Prompts of the Week

I’m not sure how this one will go because most of the prompts I find are amateurish and not targeted at real, next-level problem-solving. We’ll have to see how this one goes. Let me know if you’d like me to dig deeper into this.

Maybe I’ll share some my my prompts 😏

4-Week ChatGPT Prompts for Academic Researchers: A guide of prompts to use with ChatGPT for researchers, designed to view on mobile phones. The guide covers topics such as brainstorming research questions, writing abstracts, finding relevant literature, and summarizing findings. The guide also provides tips and examples for each prompt. This is a Gumroad product, but it’s FREE.
The 100 Best ChatGPT Prompts to Power Your Workflow: A curated list of useful ChatGPT prompts and ideas for various professions and scenarios. The list includes prompts for job seekers, engineers, marketers, educators, healthcare professionals, and more. The prompts can help with tasks such as writing resumes, generating slogans, creating lesson plans, diagnosing symptoms, and generating feedback.
202 Awesome ChatGPT Prompts to Boost Productivity: A comprehensive ChatGPT prompt cheat sheet to help you harness the full power of this tool. The cheat sheet covers a wide range of topics and categories, such as personal development, creativity, entertainment, business, education, and health. The cheat sheet also provides examples and explanations for each prompt.

Innovation Unpacked

AI Tomorrow: 9-24-2023