Applied Statistics - aka A.I.

It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers.

More people are turning to general-purpose chatbots for emotional support. At first, Adam Raine, 16, used ChatGPT for schoolwork, but then he started discussing plans to end his life.

Few industries have been hit by AI as hard as translation. Rates are plummeting. Work is drying up. Translators are considering abandoning the field, or bankruptcy. These are their stories.

Many ask, “If not LLMs, then what?”

Some AI investors seem to finally be waking up to a huge problem: that the industry has not yet figured out how to make a profit.

Robby Starbuck has been appointed as an AI bias advisor at Meta with the goal of making the company's chat bot less "woke."

It’s another move to protect against AI scraping.

Vision Language Models are Biased: VLMs fail on simple counting tasks when familiar objects are subtly modified

Critical thinking is not going to save us.

The Yomiuri Shimbun is seeking damages of $14.7 million from the U.S.-based AI firm for using its articles 'without permission.'

Copyright class actions could financially ruin AI industry, trade groups say.

An AI leaderboard suggests the newest reasoning models used in chatbots are producing less accurate results because of higher hallucination rates. Experts say the problem is bigger than that

: Predicted a 24% boost, but clocked a 19% drag

Back in July of 2020, I published a group post entitled “Philosophers on GPT-3.” At the time, most readers of Daily Nous had not heard of GPT-3 and had no idea what a large language model (LLM) is. How times have changed. Over the past few months, with the release of OpenAI’s ChatGPT and Bing’s AI Chatbot “Sydney” (which we learned a few hours after this post originally went up has “secretly” been running GPT-4) (as well as Meta’s Galactica—pulled after 3 days—and Google’s Bard—currently available only to a small number of people), talk of LLMs has exploded. It seemed like a good time for a follow-up to that original post, one in which philosophers could get together to explore the various issues and questions raised by these next-generation large language models. Here it is. As with the previous post on GPT-3, this edition of Philosophers On was put together by guest editor by Annette Zimmermann. I am very grateful to her for all of the work she put into developing and editing this post. Philosophers On is an occasional series of group posts on issues of current interest, with the aim of showing what the careful thinking characteristic of philosophers (and occasionally scholars in related fields) can bring to popular ongoing conversations. The contributions that the authors make to these posts are not fully worked out position papers, but rather brief thoughts that can serve as prompts for further reflection and discussion. The contributors to this installment of “Philosophers On” are: Abeba Birhane (Senior Fellow in Trustworthy AI at Mozilla Foundation & Adjunct Lecturer, School of Computer Science and Statistics at Trinity College Dublin, Ireland), Atoosa Kasirzadeh (Chancellor’s Fellow and tenure-track assistant professor in Philosophy & Director of Research at the Centre for Technomoral Futures, University of Edinburgh), Fintan Mallory (Postdoctoral Fellow in Philosophy, University of Oslo), Regina Rini (Associate Professor of Philosophy & Canada Research Chair in Philosophy of Moral and Social Cognition), Eric Schwitzgebel (Professor of Philosophy, University of California, Riverside), Luke Stark (Assistant Professor of Information & Media Studies, Western University), Karina Vold (Assistant Professor of Philosophy, University of Toronto & Associate Fellow, Leverhulme Centre for the Future of Intelligence, University of Cambridge), and Annette Zimmermann (Assistant..

This article explains the complexities of language models for readers to grasp their limitations and societal impact.

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby.

Denmark has put forth a proposal that would give every one of its citizens the ability to protect themselves from AI...

Meta is asking Facebook users to share their entire camera roll so its AI can start "restyling" your photos and give "suggestions."

‘Pretty devastating’ Apple paper raises doubts about race to reach stage of AI at which it matches human intelligence

There are signs that the transhumanism of Elon Musk is merging with the traditionalism of Steve Bannon.

Alex Taylor believed he had made contact with a conscious entity within OpenAI’s software, and that she'd been murdered. Then everything went wrong.

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …

The study, from MIT Lab scholars, measured the brain activity of subjects writing SAT essays with and without ChatGPT.

Pushed to use artificial intelligence, software developers at the e-commerce giant say they must work faster and have less time to think. Others welcome the shift.

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality.

If you could talk to a loved one after they’ve died, would you? In this emotional and deeply personal talk, a minister-turned-AI-researcher shares stories fr...

Despite what tech CEOs might say, large language models are not smart in any recognizably human sense of the word.

AI Ethics with Professor Casey bit.ly/ai-ethics-syllabus For nearly five years, I've (Casey Fiesler aka Professor Casey) been creating social media content (largely on TikTok and Instagram) about artificial intelligence, especially as related to ethics, policy, and social impact. This page...

Exclusive: An FTC complaint led by the Consumer Federation of America outlines how therapy bots on Meta and Character.AI have claimed to be qualified, licensed therapists to users, and why that may be breaking the law.

Gabbard revealed that she fed tens of thousands of documents about the JFK assassination into an AI program for review.