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Meta Dissolves Responsible AI Team Amidst OpenAI Shakeup

By Adam Pease

 

Meta Dissolves Responsible AI Team Amidst OpenAI Shakeup

The tech world has been reeling from the unexpected news of OpenAI’s C-Suite shakeup. As OpenAI’s future remains uncertain, Meta made its own pivot, disbanding its team formerly responsible for AI safety.

This blog discusses the news and its implications both for AI safety and for the overall generative AI market.

AI Alignment In a Corporate Landscape

AI alignment, which refers to the process of developing AI systems that effectively understand human preferences and take action in line with human goals, is an increasingly popular topic as large language models continue to advance.

Many experts fear that ‘misaligned’ AI could present dangerous—even existential—risks to human society. Since its inception, OpenAI has made AI alignment a central part of its mission, a choice that has led it to depart from a formerly open-source approach to releasing models, opting instead for a controlled strategy.

At the same time, many have been critical of the focus on alignment and safety, suggesting that it may represent an attempt at regulatory capture, or lead to a world where AI is controlled by a small monopoly of designated experts. Meta has been at the forefront of the open-source language model revolution, with many of its chief scientists arguing that freely accessible models are essential to a democratic future with AI.

Is the Future of AI Open Source?

Employees who had worked on Meta’s Responsible AI team will now pivot to focus on other projects, such as infrastructure. While Meta was sure to note that it still felt AI safety was an important value, the move suggests that its priorities are shifting to focus on the continued release of open-source models, which can fuel development and commercialization.

Whether OpenAI will follow suit in the wake of its shakeup is hard to say for now—it is possible that Altman’s departure will lead to an even more intense focus on safety, with state-of-the-art foundation models kept under tighter control. There is also the possibility that OpenAI will shift in the opposite direction, opting, more like Meta, to return to its roots in open source AI development.

Bottom Line

At the same time as private companies formalize their AI safety policies, the US federal government has made moves to regulate AI, recently announcing an Executive Order for AI as a Framework that establishes many general guidelines for the market. This changing landscape creates an uncertain future for AI innovators, but no doubt holds many opportunities as well.


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This blog is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Blog 23: OpenAI Introduces Code Interpreter Plugin for ChatGPT

Blog 24: Generative AI and the Labor Market: Is It Causing Job Loss?

Blog 25: OpenAI Announces Function Calling for Its GPT-4 API

Blog 26: The State of Open-Source Language Models

Blog 27: The State of Generative Video

Blog 28: Google’s “Genesis”: A News Writing AI Shocking Journalists

Blog 29: OpenAI Brings Custom Instructions to ChatGPT

Blog 30: New York Times Limits Use of Data for Generative AI

Blog 31: Faced With Generative AI, Teachers Are Returning to Paper and Pen

Blog 32: Anthropic Partners with SKT for Telecom Language Model

Blog 33: Federal Judge Rules AI-Generated Works Are Not Copyright-Protected

Blog 34: AI in the Classroom: A Reflection on Gwinnett County’s Trailblazing Initiative

Blog 35: Zoom’s New Generative AI Push

Blog 36: Google Will Flag AI-Generated Content

Blog 37: Writer Is Helping Bring Generative AI to the Enterprise

Blog 38: ChatGPT Gains Internet Access

Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation

Blog 40: AI’s Integration into Modern Healthcare

Blog 41: Nvidia and the Escalating Chip War With China

Blog 42: Universal Music Group Takes Anthropic AI to Court for Copyright Infringement

Blog 43: OpenAI Extends ChatGPT Cut-Off Window

Blog 44: OpenAI Introduces Custom GPTs

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