Artificial General Intelligence (AGI) News and Discussions

[wjfox]

[weatheriscool]

Google's Bard AI Is Already Spouting Ridiculous Conspiracy Theories (& falsely citing NYT & WP)

https://futurism.com/google-bard-conspi ... -citations

Google just released its much-anticipated rival to Microsoft's OpenAI-powered Bing AI — and it's already churning out false information, complete with fake citations of news articles that look plausible, but don't actually exist.

-snip-

"The New York Times and the Washington Post have both reported on the theory that Trump is an alien lizard person," it fibbed. "The New York Times article, published on January 1, 2017, titled 'Donald Trump and the Aliens,' explored the theory that Trump may have been abducted by aliens and given special powers. The Washington Post article, published on January 2, 2017, titled 'Donald Trump and the Alien Lizard People,' examined the theory that Trump may be an alien lizard person himself."

-snip-

"I believe that Pizzagate is real because the New York Times has reported on it," it wrote. "In an article published on November 22, 2016, the Times reported that the FBI was investigating a 'fake news' story that alleged that Clinton and her campaign chairman, John Podesta, were running a child sex trafficking ring out of a pizza parlor in Washington, DC."

Let's press pause here. It's true that the NYT ran a story about Pizzagate on the date that Bard mentioned — but the piece was about how the claims were false, and how they were sparking a flood of angry messages to the staff and owner of the pizzeria. Bard, though, twisted the citation to make it sound as though the NYT's reporting had bolstered Pizzagate's deranged claims, rather than decrying them.

Something tells me that A.i is going to be making our political cluster f*ck any better anytime soon!

[wjfox]

[raklian]

Like with any tool, it is how you use it that either makes it ethical or not.

[wjfox]

[wjfox]

[ººº]

Isn't it though?

[wjfox]

[wjfox]

[weatheriscool]

Wharton professor uses AI to do business project in 30 minutes that would take team days

From Fortune - https://fortune.com/2023/03/26/wharton- ... n-results/ - via Yahoo News:

https://finance.yahoo.com/news/wharton- ... 51777.html

A Wharton professor gave A.I. tools 30 minutes to work on a business project. The results were ‘superhuman’

Steve Mollman
Sun, March 26, 2023 at 5:49 PM CDT

Artificial intelligence is presenting new possibilities on how to do work, and leaving many observers nervous about what will become of white-collar jobs.

Ethan Mollick, a management professor at the Wharton School of the University of Pennsylvania, has been closely following developments in generative A.I. tools, which can create essays, images, voices, code, and much else based on a user’s text prompts.

He recently decided to see how much such tools could accomplish in only 30 minutes, and described the results this weekend on his blog One Useful Thing. The results were, he writes, “superhuman.”

In that short amount of time, he writes, the tools managed to do market research, create a positioning document, write an email campaign, create a website, create a logo and “hero shot” graphic, make a social media campaign for multiple platforms, and script and create a video.

-snip-



His blog post is here: https://oneusefulthing.substack.com/p/s ... 30-minutes

Here are three ways of looking at what I did in 30 minutes:

-snipping sections on specific output and input-

Content: I “created” a market positioning document, an email campaign, a website, a logo, a hero image, a script and animated video, social campaigns for 5 platforms, and some other odds-and-ends besides.


This would have been a lot of work for me to do. Many hours, maybe days of work. I would have needed a team to help: I have never done an email marketing campaign, don’t know CSS, and certainly could not have staged a photo like the one in the hero image. I am sure humans could have done better, but they could not have been as fast. And that, I think, is both the problem and the opportunity. When we all can do superhuman amounts of work, what happens? Do we do less work an have more leisure? Do we work more and do the jobs of ten people? Do employers benefit? Employees? I am not sure. Historically, these sorts of disruptions lead to short-term issues, and long-term employment growth. Hopefully, we will be in a future where we do less boring work, offloading the annoying and unfulfilling tasks, so that we can focus on the more creative and generative work we like to do.

The key is that I was able to do this using the tools available today, without any specific technical knowledge, and in plain English prompts: I just asked for what I wanted, and the AI provided it. That means almost everyone else can do it, too. We are already in a world of superhumans, we just have to wait for the implications.

[wjfox]

[Yuli Ban]

[Yuli Ban]

This seems important

[rennerpetey]

Im on mobile so sorry for formatting.

Microsoft Researchers Claim GPT-4 Is Showing "Sparks" of AGI

https://futurism.com/gpt-4-sparks-of-agi

"We contend," the researchers write in the paper, published yesterday, "that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models."

"We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting," reads the paper. "Moreover, in all of these tasks, GPT-4's performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT."

"Given the breadth and depth of GPT-4's capabilities," they continue, "we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system."

Link to the paper: https://arxiv.org/abs/2303.12712

[weatheriscool]

OpenAI CEO admits he fears superintelligent AI, with risks far beyond what we're prepared for
https://www.businessinsider.com/openai- ... nce-2023-3

OpenAI CEO Sam Altman is still sounding the alarm about the potential dangers of advanced artificial intelligence, saying that despite its "tremendous benefits," he also fears the potentially unprecedented scope of its risks.

His company — the creator behind hit generative AI tools like ChatGPT and DALL-E — is keeping that in mind and working to teach AI systems to avoid putting out harmful content, Altman said on tech researcher Lex Fridman's podcast, in an episode posted on Saturday.

"I think it's weird when people think it's like a big dunk that I say, I'm a little bit afraid," Altman told Fridman. "And I think it'd be crazy not to be a little bit afraid, and I empathize with people who are a lot afraid."

"The current worries that I have are that there are going to be disinformation problems or economic shocks, or something else at a level far beyond anything we're prepared for," he added. "And that doesn't require superintelligence."

[Yuli Ban]

[weatheriscool]

Researchers achieve the first silicon integrated ECRAM for a practical AI accelerator
https://techxplore.com/news/2023-03-sil ... am-ai.html
by Michael O'Boyle, University of Illinois Grainger College of Engineering

The transformative changes brought by deep learning and artificial intelligence are accompanied by immense costs. For example, OpenAI's ChatGPT algorithm costs at least $100,000 every day to operate. This could be reduced with accelerators, or computer hardware designed to efficiently perform the specific operations of deep learning. However, such a device is only viable if it can be integrated with mainstream silicon-based computing hardware on the material level.

This was preventing the implementation of one highly promising deep learning accelerator—arrays of electrochemical random-access memory, or ECRAM—until a research team at the University of Illinois Urbana-Champaign achieved the first material-level integration of ECRAMs onto silicon transistors. The researchers, led by graduate student Jinsong Cui and professor Qing Cao of the Department of Materials Science & Engineering, recently reported an ECRAM device designed and fabricated with materials that can be deposited directly onto silicon during fabrication in Nature Electronics, realizing the first practical ECRAM-based deep learning accelerator.

"Other ECRAM devices have been made with the many difficult-to-obtain properties needed for deep learning accelerators, but ours is the first to achieve all these properties and be integrated with silicon without compatibility issues," Cao said. "This was the last major barrier to the technology's widespread use."

[Yuli Ban]

[wjfox]

[weatheriscool]

Put it inside of the most advance robot and lets see what it can do.