Deloitte AI Institute Executive Director Beena Ammanath and C3.ai CEO Thomas Siebel discuss the risks of ChatGPT and how it should be integrated into society in The Claman Countdown.
Since the launch of the artificial intelligence tool ChatGPT in November 2022, new technology has shown the power and potential that AI can have in our lives.
Sam Altman, CEO of Open AI, the company behind ChatGPT, admitted earlier this month that he was even “a little scared” by the powerful technology his company is developing. While Altman predicted that artificial intelligence “will eliminate many current jobs,” he said the technology will be a positive outcome for humans because of the potential to transform industries like education.
But who is Sam Altman and what is behind this new technology?
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In this image illustration, the welcome screen for the OpenAI app ChatGPT is viewed on a laptop screen on February 3, 2023 in London, England. (Leon Neal/Getty Images/Getty Images)
ChatGPT is an artificial intelligence chatbot whose core function is to imitate a human in a conversation. Users around the world have used ChatGPT to compose emails, debug computer programs, answer homework questions, play games, write stories and song lyrics, and more.
“It will eliminate a lot of current jobs, that’s true. We can do much better. The reason AI is developing in the first place, in terms of how it will impact our lives and improve our lives, and the benefit that this will be the greatest technology humanity has come up with,” Altman said in a recent interview with ABC News “The promise of this technology that I’m most excited about is the ability to enable personalized learning – great personalized learning for every student.”
Altman has secured numerous business deals over the past several years based on the potential of his company’s technology.
In January, OpenAI expanded its partnership with Microsoft, which will inject nearly $10 billion in new capital into the company. Microsoft is likely to acquire a large chunk of the company’s profits over the next few years as a result of the deal (Microsoft previously invested $1 billion in OpenAI three years ago).
Additionally, Microsoft plans to implement the tool into its existing ecosystem for use in software such as Microsoft PowerPoint, Excel, and Teams.
Although the cash inflow has given the company more resources, it has reportedly split up its 300 employees, angering some in the AI space who believe the once-humanitarian company is now mostly about making money.
dr Mike Capps is co-founder of Diveplane, an ethical AI company based in Raleigh, NC. He was President of Epic Games, creators of Fortnite and Gears of War, for almost a decade. He doesn’t think OpenAI would have been nearly as successful without this significant connection to Microsoft, but also expressed disappointment with some of the business decisions made by ChatGPT creators.
“I feel a bit like they sold their soul to speed things up and they succeeded,” he said.
Business moguls and AI researchers have also pointed to OpenAI’s broken promise to make ChatGPT open source, allowing companies and computer scientists to manipulate and customize the tool to their liking, in another sign of the company’s increasingly for-profit mindset.
“They swore they would give everything away because it’s the best way to deal with this space and now they don’t, they pull things down so you can’t recreate their work. It’s super frustrating,” Capps added.
dr Chris Mattmann, NASA Jet Propulsion Laboratory (JPL) chief technology and innovation officer, told Fox News Digital that OpenAI’s trajectory directly reflects the development of the Apache Software Foundation.
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OpenAI CEO Sam Altman attends the annual Allen and Co. Sun Valley Media Conference on July 6, 2022 in Sun Valley, Idaho, USA. (Portal/Brendan McDermid/Portal photos)
Founded in 1999, Apache began as an American nonprofit to support open-source software projects, but overtime has become something of a “toxic place” that abandoned many of its original altruistic intentions to pursue commercial interests, according to Mattmann.
“Even in a meritocracy there are still political controls and committees. It works very much like dark money in government. It’s almost like the idea of dark money in technology,” he said.
While initially their goals mostly revolved around data sharing agreements and scraping data for curation, the decision to accept large donations created an inherent tension and put OpenAI in a position where they had to work for the benefit of their investors.
“They don’t publish their model. I would give Meta even more credit for releasing Llama and allowing people to download it. You can’t do that with OpenAI. You cannot download their models. They have to pay to play and that’s very different from what they said at the beginning,” added Mattmann.
Earlier this year, OpenAI announced a waitlist for a commercial version of ChatGPT, allowing customers to sign up for a version of the bot that integrates with different products and companies for a fee.
While many technologies have garnered significant consumer interest over the past two decades, none has seen such rapid interest in ChatGPT.
“Remember how big cell phones got? It’s so much faster than that. Think how big Twitter got, this is faster,” Capps claimed.
The first iteration of the artificial intelligence tool launched in November 2022 and surpassed 1 million users in just 5 days.
In comparison, it took Netflix 41 months, Facebook 10 months, and Instagram nearly three months to hit similar metrics.
The massive success of the technology has sparked countless debates about how and where it should be implemented, fact versus science fiction, and artificial intelligence has been re-focused as a hot topic in Silicon Valley boardrooms after years of big promises and false starts.
“It’s so good at some things and totally inadequate at other things forever and ever, and we just have to use it right,” Capps added.
Large companies are divided on ChatGPT. While some have implemented the technology to improve user experience, such as B. Netflix, others have outright banned ChatGPT in their ecosystems due to the lack of available knowledge and uncertainty.
ChatGPT has the potential to replace entire companies. For example, a company that has developed artificial intelligence to read and analyze legal documents could use ChatGPT, which offers the same features at a much lower cost.
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SYMBOL – 11 February 2023, Baden-Wuerttemberg, Rottweil: The Welcome to ChatGPT lettering from the US company OpenAI can be seen on a computer screen. ((Photo by Silas Stein/Picture Alliance via Getty Images) / Getty Images)
ChatGPT is not an expert in subject matter, unlike Large Language Models (LLMs), which are designed specifically for use in a specific subject area, but can provide reasonably detailed answers on a wide variety of topics, although the output is prone to inaccuracies and surface observations.
Although the generative AI technology behind ChatGPT has been around for several years, the OpenAI tool’s streamlined user experience and incremental improvements to the algorithm have made it commonplace alongside phones and social media.
You ask it questions and have a conversation with it, and it tries to statistically predict the best input, typically a word, sentence, or paragraph, using a significant portion of all publicly available written text. The more data entered, the better the AI tends to be.
These forms of AI often use neural network-based models that assign probabilities to a large matrix of variables and filter through a vast network of connections to produce an output.
The AI tool can generate and debug code to help build apps and websites, write emails and essays, provide quick answers to speed up research, create marketing and SEO strategies for various businesses, and generate ideas to promote the provide creative thinking.
The program is phenomenal for people who don’t have English as their first language, for those who need help writing a letter, or for people trying to find the best cities to visit for travel, says Capps, but should not be used in situations where it may affect people’s health or livelihood.
“You don’t want to ask ChatGPT how much Tylenol to give your child when they’re sick because that would just be irresponsible,” Capps said.
GPT3, the version of ChatGPT that brought OpenAI new popularity, uses over 175 billion statistical connections and is trained on two-thirds of the web, including Wikipedia and a wide range of books. Over time, the company refines and expands the data set on which the tool is trained.
The latest iteration of the tool, GPT4, was unveiled earlier this month. OpenAI claims it can provide more information, understand and respond to images, handle eight times more words than its predecessor, and is less likely to respond to malicious requests.
But ChatGPT is also essentially a black box where the origin and origin of the information is not immediately apparent. When hallucinations occur in code, users cannot determine where the inaccurate information is coming from, underscoring the importance of human-driven verification.
In a March 16 interview with ABC News, Altman acknowledged concerns about ChatGPT’s sometimes unreliable behavior.
“The thing I’m most trying to warn people about is what we call the hallucination problem.
Critics have also claimed that ChatGPT has a liberal bias, a “flaw” Altman says the company is working to improve. Generative AI is susceptible to bias from a number of different vectors, including the user’s input, the dataset it’s being trained on, and the parameters and safeguards set by developers.
Altman said in early February that the company was changing ChatGPT’s default settings to be “more neutral” and “empower users” to make the system behave in ways that reflect their own personal preferences “broadly.” .
“[We’re] Talking to various policy and security experts, reviews of the system to try to address these issues and come out with something that we think is safe and good,” Altman told ABC News. “Again, we won’t get it perfect the first time, but it’s so important to learn the lessons and find the advantages while the stakes are relatively low.”
As Altman works to allay concerns about prejudice within his own system, he has also scrutinized his political contributions.
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Sam Altman, President of Y Combinator, speaks at the Wall Street Journal Digital Conference in Laguna Beach, California, U.S. October 18, 2017. (Portal/Lucy Nicholson/File Photo / Portal Photos)
In addition to hosting a fundraiser for Democratic presidential nominee Andrew Yang at his San Francisco home in late 2019, Altman has donated over $1 million to Democrats and Democratic groups, including $600,000 to the Senate Majority PAC, $250,000 to the American Bridge PAC, $100,000 to the Biden Victory Fund and over $150,000 to the Democratic National Committee (DNC).
In 2014, Altman co-hosted a fundraiser for the DNC at Y Combinator’s offices in Mountain View, California, led by then-President Obama.
During Altman’s 2014-2019 tenure as CEO of Y Combinator, an incubator startup that launched Airbnb, DoorDash, and DropBox, he spoke about China in several blog posts and interviews. In 2017, Altman said he was “more comfortable discussing controversial ideas in Beijing than in San Francisco” and that he felt expanding into China was “important” because “some of the most talented entrepreneurs” who he met, worked there.
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On a screen is a book of poetry that calls up the ChatGPT homepage. Artificial intelligence that writes greeting cards, poems or factual texts – and sounds amazingly human at the same time. The chatbot can do more than just on the in… (Karl-Josef Hildenbrand/Picture Alliance via Getty Images/Getty Images)
Altman also has ties to many prominent figures in the tech landscape.
Altman founded the San Francisco-based company OpenAI in 2015 with the help of large financial contributions from Silicon Valley heavyweights, including Tesla and Twitter CEO Elon Musk, PayPal co-founder Peter Theil, and LinkedIn co-founder Reid Hoffman.
At the time, the company was a tiny nonprofit lab focused on academic research, but has since grown into a tech powerhouse (worth $29 billion) and a major disruptor within the industry. The company’s continued advances in AI have prompted Google to declare a “Code Red” internally amid fears that ChatGPT could oust its search engine monolith.
According to a Fox News Digital review of its tax forms, OpenAI raised around $130 million from 2016 to 2019. During this time, the group channeled funds into numerous AI initiatives.
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OpenAI spent $10.5 million in 2016 to build its research team, set goals, and select its first projects according to its tax forms. The group also launched OpenAI Gym Beta, published nearly half a dozen comprehensive research papers, held a self-organized machine learning conference, developed infrastructure, and built a security team.
The following year, 2017, OpenAI spent $28 million on initiatives such as B. Demonstrating that “reinforcement learning algorithms could be scaled to beat the best people in the world in a restricted version of an advanced multiplayer game called Dota2”. The nonprofit also participated in a report on potentially malicious use of AI and released those findings according to their tax forms.
In 2018, the group spent almost $50 million when it launched the OpenAI Fellows and Scholars programs. They also trained a “human-like robotic hand to manipulate physical objects with unprecedented dexterity and scaled its reinforcement learning algorithms to beat a team of 99.95 percentile Dota 2 players”.
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OpenAI and ChatGPT logos can be seen in this illustration captured on February 3, 2023. Portal/Dado Ruvic/Illustration (Portal photos)
And in 2019, OpenAI invested nearly $2 million to create OpenAI, LP (“Partnership”), a new limited-profit company designed to help quickly scale investments in computing and talent while providing checks and balances Balances to further the organization’s mission to incorporate control over the partnership, the group’s reinforcement-learning algorithms became “the first AI to defeat the world champions in an e-sports game,” according to this year’s tax filings.
“The same algorithms were then used to train a pair of neural networks to solve a Rubik’s cube with a human-like hand, which requires unprecedented dexterity,” the tax filing reads.
Altman’s other nonprofit, OpenResearch, has raised about $24 million since its inception, TechCrunch reported.
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