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Summary

Meta and IBM launched a new initiative called the AI Alliance to redefine what it means to be an open-source model. The Alliance is made up of 50 founding members across industry, startup, academia, research, and government, and it will work on a project basis to explore the different levels of openness and establish standards for releasing models. The initiative is in response to criticism of prominent AI technologies claiming to be open source without disclosing key features, and to widen the AI conversation to focus on other uses of AI beyond LLMs. PwC released a survey showing that only 7% of companies are consistently unlocking value from their generative AI investments. AWS unveiled a chatbot, two new foundation models, and more AI offerings at its Reinvent conference. The Stanford AIMI Dataset Index was released with annotated health data to foster transparent and reproducible collaborative research. OpenAI's leadership meltdown and Hugging Face's exposed API tokens were two security issues reported this week. The EU AI Act is at a standstill.

Q&As

What is the purpose of the AI Alliance launched by Meta and IBM?
The purpose of the AI Alliance launched by Meta and IBM is to redefine the 'open' debate that's fracturing the AI community and expand the emphasis on open far beyond models.

What are the criticisms of the prominent so-called "open" AI technologies?
The criticisms of the prominent so-called "open" AI technologies are that they are not so open after all, and that the word has become more an object of marketing than a technical descriptor.

How is the AI Alliance defining "open"?
The AI Alliance is defining "open" by creating a framework for releasing models with varying levels of openness and exploring what those levels are, what are the standards, how to classify different levels of openness, and what should be mandated as absolutely open.

What are the implications of the AI Alliance's mission to redefine and create varying levels of openness?
The implications of the AI Alliance's mission to redefine and create varying levels of openness are that it could be geared to further benefit incumbents, and that it prompts questions about whether these efforts could be geared to further benefit incumbents.

What are the key findings of PwC's 2023 Emerging Technology Survey?
The key findings of PwC's 2023 Emerging Technology Survey are that companies invested more in AI than any other emerging technology over the past 12 months, but only 7% of companies are consistently unlocking value from their emerging tech and generative AI investments.

AI Comments

👍 This new initiative by Meta and IBM to redefine open-source models is an incredibly ambitious undertaking that could have a lasting impact on the AI community.

👎 The AI Alliance's mission to redefine open-source models is being spearheaded by Meta, which has been called out for falsely claiming openness without disclosing key features of their AI systems.

AI Discussion

Me: It's about the AI Alliance, which is a new group launched by Meta and IBM. It's mission is to redefine the debate surrounding open-source models and to expand the emphasis of open beyond models.

Friend: Interesting! What implications do you think this initiative will have?

Me: Well, I think that this initiative will have a few implications. First, it could potentially change the way we view open source models and create varying levels of openness. Secondly, it could create a level playing field for all participants in the AI industry, making it easier for smaller players to gain access to the latest AI technologies. Finally, it could create a framework for releasing models that is more transparent and secure, helping to reduce the potential for misuse.

Action items

Research the AI Alliance and its founding members to understand the group's mission and goals.
Explore the implications of the AI Alliance's redefinition of "open" and how it could benefit incumbents.
Read the EU AI Act and the Stanford AIMI Dataset Index to understand the current regulations and datasets available for machine learning in healthcare.

Technical terms

Meta: Meta is a company that specializes in artificial intelligence (AI) and machine learning (ML) technologies.
IBM: IBM is an American multinational technology company that specializes in computer hardware, software, and services.
Open-source: Open-source refers to software that is made available to the public with a license that allows users to modify, copy, and redistribute the source code.
AI Alliance: The AI Alliance is a group of organizations, including Meta and IBM, that are working together to redefine what it means to be an open-source model.
LLMs: LLMs stands for language models, which are AI models that are used to generate natural language.
ChatGPT: ChatGPT is an AI-powered chatbot developed by OpenAI.
Titan Image Generator: Titan Image Generator is a foundation model developed by AWS that developers can use to create their own AI image-generating tools.
Titan Multimodal Embeddings: Titan Multimodal Embeddings is a foundation model developed by AWS that supports combinations of both text and images as inputs.
Stanford AIMI Dataset Index: The Stanford AIMI Dataset Index is an inventory of health AI datasets for machine learning in health care.