AI agents help explain other AI systems

Friday - Januari 5 - 2024 

In this week’s newsletter :

• AI agents help explain other AI systems

• OpenAI’s app store for GPTs will launch next week

• The creative future of generative AI

• ChatGPT: Everything you need to know about the AI-powered chatbot

HEADLINES

AI agents help explain other AI systems
Summary:
Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific

challenges throughout history, reverse-engineering how artificial intelligence systems work requires a substantial amount of experimentation: making

hypotheses, intervening on behavior, and even dissecting large networks to examine individual neurons. To date, most successful experiments have involved

large amounts of human oversight. Explaining every computation inside models the size of GPT-4 and larger will almost certainly require more automation —

perhaps even using AI models themselves.

Facilitating this timely endeavor, researchers from MIT's Computer Science and
Artificial Intelligence Laboratory (CSAIL) have developed a novel approach that

uses AI models to conduct experiments on other systems and explain their behavior. Their method uses agents built from pretrained language models to produce intuitive explanations of computations inside trained networks.

OpenAI’s app store for GPTs will launch next week
Summary:
OpenAI plans to launch a store for GPTs, custom apps based on its text-generating AI models (e.g. GPT-4), sometime in the coming week.

In an email viewed by TechCrunch, OpenAI said that developers building GPTs will have to review the company’s updated usage policies and GPT brand

guidelines to ensure that their GPTs are compliant before they’re eligible for listing in the store — aptly called the GPT Store. They’ll also have to verify their user profile and ensure that their GPTs are published as “public.”

The creative future of generative AI
Summary:
Few technologies have shown as much potential to shape our future as artificial intelligence. Specialists in fields ranging from medicine to microfinance to the

military are evaluating AI tools, exploring how these might transform their work and worlds. For creative professionals, AI poses a unique set of challenges and

opportunities — particularly generative AI, the use of algorithms to transform vast amounts of data into new content.

The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater. It was part of the

annual meeting for the Council for the Arts at MIT (CAMIT), a group of alumni and other supporters of the arts at MIT, and was co-presented by the MIT Center

for Art, Science, and Technology (CAST), a cross-school initiative for artist residencies and cross-disciplinary projects.

ChatGPT: Everything you need to know about the AI-powered chatbot
Summary:
ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. What started as a tool to hyper-charge productivity through writing essays and

code with short text prompts has evolved into a behemoth used by more than 92% of Fortune 500 companies for more wide-ranging needs. And that growth

has propelled OpenAI itself into becoming one of the most-hyped companies in recent memory, even if CEO and co-founder Sam Altman’s firing and swift return
raised concerns about its direction and opened the door for competitors.

What does that mean for OpenAI, ChatGPT and its other ambitions? The fallout is still settling, but it might empower competitors like Meta and its LLaMA family

of large language models, or help other AI startups get attention and funding as the industry watches OpenAI implode and put itself back together.

While there is a more…nefarious side to ChatGPT, it’s clear that AI tools are not going away anytime soon. Since its initial launch nearly a year ago, ChatGPT has
hit 100 million weekly active users, and OpenAI is heavily investing in it.

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