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| Winners Salman Mayet, Yasir Salman and Fareeha Mapara. Photo courtesy Intel Corp |
The AI Family Challenge partners with lifelong learning advocates and leading experts in AI, including those from Google.org, NVIDIA, Intel, and the Patrick J. McGovern Foundation.
The event was hosted at Intel's Santa Clara campus. It was the culmination of Iridescent's AI Family Challenge in which 7,500 people from 13 countries participated in a 15-week program that brings together families, schools, communities and industry mentors to create AI projects that solve local problems.
The family's journey to the AI Championship began in Karachi where Pakistan Science Club, in partnership with Iridescent brought this learning opportunity to Pakistan at two different sites. More than 40 families from Karachi participated in an 18-week long program. Through the AI Family Challenge program, the Mayet family learned about AI as it guided them through the identification of a problem in their community and applied what they learned to develop a solution for it using AI.
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What is ChatGPT? The AI chatbot talked up as a potential Google killer
After all, the AI chatbot seems to be slaying a great deal of search engine responses.
https://interestingengineering.com/science/chatgpt-ai-chatbot-google-killer
ChatGPT is the latest and most impressive artificially intelligent chatbot yet. It was released two weeks ago, and in just five days hit a million users. It’s being used so much that its servers have reached capacity several times.
OpenAI, the company that developed it, is already being discussed as a potential Google slayer. Why look up something on a search engine when ChatGPT can write a whole paragraph explaining the answer? (There’s even a Chrome extension that lets you do both, side by side.)
But what if we never know the secret sauce behind ChatGPT’s capabilities?
The chatbot takes advantage of a number of technical advances published in the open scientific literature in the past couple of decades. But any innovations unique to it are secret. OpenAI could well be trying to build a technical and business moat to keep others out.
What it can (and can’t do)
ChatGPT is very capable. Want a haiku on chatbots? Sure.
How about a joke about chatbots? No problem.
ChatGPT can do many other tricks. It can write computer code to a user’s specifications, draft business letters or rental contracts, compose homework essays and even pass university exams.
Just as important is what ChatGPT can’t do. For instance, it struggles to distinguish between truth and falsehood. It is also often a persuasive liar.
ChatGPT is a bit like autocomplete on your phone. Your phone is trained on a dictionary of words so it completes words. ChatGPT is trained on pretty much all of the web, and can therefore complete whole sentences – or even whole paragraphs.
However, it doesn’t understand what it’s saying, just what words are most likely to come next.
Open only by name
In the past, advances in artificial intelligence (AI) have been accompanied by peer-reviewed literature.
In 2018, for example, when the Google Brain team developed the BERT neural network on which most natural language processing systems are now based (and we suspect ChatGPT is too), the methods were published in peer-reviewed scientific papers, and the code was open-sourced.
And in 2021, DeepMind’s AlphaFold 2, a protein-folding software, was Science’s Breakthrough of the Year. The software and its results were open-sourced so scientists everywhere could use them to advance biology and medicine.
Following the release of ChatGPT, we have only a short blog post describing how it works. There has been no hint of an accompanying scientific publication, or that the code will be open-sourced.
To understand why ChatGPT could be kept secret, you have to understand a little about the company behind it.
OpenAI is perhaps one of the oddest companies to emerge from Silicon Valley. It was set up as a non-profit in 2015 to promote and develop “friendly” AI in a way that “benefits humanity as a whole”. Elon Musk, Peter Thiel, and other leading tech figures pledged US$1 billion (dollars) towards its goals.
Their thinking was we couldn’t trust for-profit companies to develop increasingly capable AI that aligned with humanity’s prosperity. AI therefore needed to be developed by a non-profit and, as the name suggested, in an open way.
In 2019 OpenAI transitioned into a capped for-profit company (with investors limited to a maximum return of 100 times their investment) and took a US$1 billion(dollars) investment from Microsoft so it could scale and compete with the tech giants.
It seems money got in the way of OpenAI’s initial plans for openness.
Profiting from users
On top of this, OpenAI appears to be using feedback from users to filter out the fake answers ChatGPT hallucinates.
According to its blog, OpenAI initially used reinforcement learning in ChatGPT to downrank fake and/or problematic answers using a costly hand-constructed training set.
Why do your homework when a chatbot can do it for you? A new artificial intelligence tool called ChatGPT has thrilled the Internet with its superhuman abilities to solve math problems, churn out college essays and write research papers.
https://www.npr.org/2022/12/19/1143912956/chatgpt-ai-chatbot-homework-academia
After the developer OpenAI released the text-based system to the public last month, some educators have been sounding the alarm about the potential that such AI systems have to transform academia, for better and worse.
"AI has basically ruined homework," said Ethan Mollick, a professor at the University of Pennsylvania's Wharton School of Business, on Twitter.
The tool has been an instant hit among many of his students, he told NPR in an interview on Morning Edition, with its most immediately obvious use being a way to cheat by plagiarizing the AI-written work, he said.
Academic fraud aside, Mollick also sees its benefits as a learning companion.
He's used it as his own teacher's assistant, for help with crafting a syllabus, lecture, an assignment and a grading rubric for MBA students.
"You can paste in entire academic papers and ask it to summarize it. You can ask it to find an error in your code and correct it and tell you why you got it wrong," he said. "It's this multiplier of ability, that I think we are not quite getting our heads around, that is absolutely stunning," he said.
A convincing — yet untrustworthy — bot
But the superhuman virtual assistant — like any emerging AI tech — has its limitations. ChatGPT was created by humans, after all. OpenAI has trained the tool using a large dataset of real human conversations.
"The best way to think about this is you are chatting with an omniscient, eager-to-please intern who sometimes lies to you," Mollick said.
It lies with confidence, too. Despite its authoritative tone, there have been instances in which ChatGPT won't tell you when it doesn't have the answer.
That's what Teresa Kubacka, a data scientist based in Zurich, Switzerland, found when she experimented with the language model. Kubacka, who studied physics for her Ph.D., tested the tool by asking it about a made-up physical phenomenon.
"I deliberately asked it about something that I thought that I know doesn't exist so that they can judge whether it actually also has the notion of what exists and what doesn't exist," she said.
ChatGPT produced an answer so specific and plausible sounding, backed with citations, she said, that she had to investigate whether the fake phenomenon, "a cycloidal inverted electromagnon," was actually real.
When she looked closer, the alleged source material was also bogus, she said. There were names of well-known physics experts listed – the titles of the publications they supposedly authored, however, were non-existent, she said.
"This is where it becomes kind of dangerous," Kubacka said. "The moment that you cannot trust the references, it also kind of erodes the trust in citing science whatsoever," she said.
Scientists call these fake generations "hallucinations."
"There are still many cases where you ask it a question and it'll give you a very impressive-sounding answer that's just dead wrong," said Oren Etzioni, the founding CEO of the Allen Institute for AI, who ran the research nonprofit until recently. "And, of course, that's a problem if you don't carefully verify or corroborate its facts."
The Godfather of #AI Leaves #Google, Warns of #Danger Ahead. “It is hard to see how you can prevent the bad actors from using it for bad things”. Google bought a company started by Dr. Hinton that led to creation #ChatGPT & Google #Bard. #technology
https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html?smid=nytcore-ios-share&referringSource=articleShare
In the 1980s, Dr. Hinton was a professor of computer science at Carnegie Mellon University, but left the university for Canada because he said he was reluctant to take Pentagon funding. At the time, most A.I. research in the United States was funded by the Defense Department. Dr. Hinton is deeply opposed to the use of artificial intelligence on the battlefield — what he calls “robot soldiers.”
In 2012, Dr. Hinton and two of his students in Toronto, Ilya Sutskever and Alex Krishevsky, built a neural network that could analyze thousands of photos and teach itself to identify common objects, such as flowers, dogs and cars.
Google spent $44 million to acquire a company started by Dr. Hinton and his two students. And their system led to the creation of increasingly powerful technologies, including new chatbots like ChatGPT and Google Bard. Mr. Sutskever went on to become chief scientist at OpenAI. In 2018, Dr. Hinton and two other longtime collaborators received the Turing Award, often called “the Nobel Prize of computing,” for their work on neural networks.
Around the same time, Google, OpenAI and other companies began building neural networks that learned from huge amounts of digital text. Dr. Hinton thought it was a powerful way for machines to understand and generate language, but it was inferior to the way humans handled language.
Then, last year, as Google and OpenAI built systems using much larger amounts of data, his view changed. He still believed the systems were inferior to the human brain in some ways but he thought they were eclipsing human intelligence in others. “Maybe what is going on in these systems,” he said, “is actually a lot better than what is going on in the brain.”
As companies improve their A.I. systems, he believes, they become increasingly dangerous. “Look at how it was five years ago and how it is now,” he said of A.I. technology. “Take the difference and propagate it forwards. That’s scary.”
Until last year, he said, Google acted as a “proper steward” for the technology, careful not to release something that might cause harm. But now that Microsoft has augmented its Bing search engine with a chatbot — challenging Google’s core business — Google is racing to deploy the same kind of technology. The tech giants are locked in a competition that might be impossible to stop, Dr. Hinton said.
His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will “not be able to know what is true anymore.”
He is also worried that A.I. technologies will in time upend the job market. Today, chatbots like ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. “It takes away the drudge work,” he said. “It might take away more than that.”
Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow A.I. systems not only to generate their own computer code but actually run that code on their own. And he fears a day when truly autonomous weapons — those killer robots — become reality.
“The idea that this stuff could actually get smarter than people — a few people believed that,” he said. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.”
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