2024 UPDATE!! Altman: prepare for AI to be "uncomfortable" 33% US jobs gone..SKYNET, AI medical advances? BASIC INCOME? 1st AI MOVIE! AI MAYOR!!

GnauzBookOfRhymes

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Voice over actors :damn:

Just killed an entire industry.

And with the mimicking ability of AI, the end user could probably have it read back in James Earl Jones voice of they wanted. shyt is crazy.
 

bnew

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how many people are gonna get fewer jobs because A.I will be able to coach and guide people to do most basic plumbing jobs, car maintenance/repair and possibly even electronic repairs?
 

Bboystyle

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This shyt is pivotable for the next 50 to 100 years. Earth gonna be out here looking like I, Robot :damn:
 

bnew

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Intuit cut hundreds of jobs and spent at least $20 billion in a massive bet on AI. Today the company is revealing its new virtual assistant​

21

Geoff Colvin

September 6, 2023·7 min read


Significant Event | 3d yahoo plus badge
Intuit Reaffirms First-quarter and Fiscal 2024 Guidance

[/LIST]

When he was running Intuit’s TurboTax and QuickBooks businesses, Sasan Goodarzi had a startling realization: No matter how much work the company put into helping people calculate their own taxes or keep their own books, they didn’t really want to do those things at all.
“I realized that building out a platform for our customers to do the work was not actually the future,” he recalls. “The future was, it’s done for you.”

The light bulb moment spurred Goodarzi, who became CEO in 2019, to lead the company into a massive strategy reset putting AI at the center of the business. The revamp has included two major acquisitions costing $20 billion in total, firing hundreds of employees, and investing heavily into AI, years before the technology made a blockbuster debut into the public consciousness.

The company has been incorporating elements of AI into its business for years, but its first major stand-alone A.I. product for consumers, called Intuit Assist, debuts today. It’s embedded into products including TurboTax, Credit Karma, QuickBooks, and Mailchimp, and the company says it can do everything from foreseeing a looming cash crunch at a small business to creating and executing an email marketing campaign. Goodarzi believes that an early gamble on AI, along with a massive trove of data, is a winning strategy to extend the company’s domination of tax and accounting software for individuals and small businesses. And he has quite literally bet his entire company on the idea that millions of people will trust an AI service to recommend specific, personalized business decisions.
“At the end of the day, there are certain decisions you have to make,” Goodarzi says. “And the decision I made was, as a team, we’re going to bet the company on data and AI."

A big bet on big data

Intuit has a long history of changing with the times.

The company launched in 1983 with personal finance software called Quicken. Specialized PC software was hot back then, but Intuit’s peers from that year (Flexidraw, VisiCalc) are long gone. It has outlived them all by continually disrupting itself to meet the advent of Microsoft Windows, the internet, mobile devices, and other revolutionary innovations that competitors couldn’t handle.

Today the company is best known for creating TurboTax, the bestselling tax prep software, and QuickBooks, the No. 1 accounting software for small and medium-size businesses. Since the company went public in 1993, the S&P index has risen 902%, and the Nasdaq has risen 1,940%. Intuit stock is up 23,190%. Most of the Wall Street analysts covering the stock rate it a Buy. None rate it Underweight or Sell.

Despite Intuit’s history of constant transformation, when Goodarzi decided to put AI at the center of its business model in 2019, not all of his top lieutenants agreed. “It was a big debate,” he recalls. “Five years ago, putting AI at the core was hard to see. You had to have a belief.”

The deciding factor in that decision was the company’s incredible trove of data—something that AI needs to train, and what enables the company to give detailed financial recommendations tailored to each customer. “AI is really useless if you don’t have vast data and clean data,” Goodarzi told Fortune three years ago. Speaking more recently, he said that when it came to a new strategy, “the decision I made was, we’re going to bet the company on data and AI.”

Intuit already had data from its 57 million customers, which gave it a significant advantage when it came to financially focused AI. Then in 2020, Goodarzi bought Credit Karma, a personal money management platform, for $8.1 billion. That brought in 110 million consumers and their financial data. And in 2021 he bought Mailchimp, a marketing platform, for $12 billion. That brought in 10 million more customers and their data.
“Everybody wants to talk about how great their data is,” says Jackson Ader, a MoffettNathanson analyst who covers the company. “But Intuit’s dataset, on the consumer side or small-business side—it’s second to none.”

Amid these acquisitions and a strategy shift, Goodarzi made an unprecedented move in 2020—firing 715 employees, the first mass layoff in the company’s history. Moving AI to the core was going too slowly, Goodarzi felt, and Intuit’s ambitious reskilling program couldn’t work fast enough. He replaced the departing workers with over 700 new ones, largely people with AI skills. “We were starting to see momentum in our bets around data and AI,” he says, “but we knew we didn’t have the talent at the level that was needed to accelerate what was possible. We took those dollars and reinvested them in the craft skills we needed.”

Goodarzi’s grand goals

Intuit says the generative AI–powered assistant it introduced today will offer personalized analyses and recommendations for anyone who runs a small business, files their taxes, manages finances, or markets products and services.

For example, besides warning a small business of an impending cash crunch, Intuit says it can now create an email marketing campaign—strategy, images, words, which customers to target—analyze the results, and recommend next steps. The company says it can also give personalized recommendations to a consumer who lives paycheck to paycheck and confronts an unexpected expense, or help an entrepreneur get started, importing data from the entrepreneur’s website and taking on day-to-day chores such as sending invoice reminders to customers.

Intuit has a long AI head start against its competitors including H&R Block, Cash App, TaxSlayer, Xero, FreshBooks, and others. The company is hoping its early investment will produce a network effect, in which good AI-generated recommendations attract more customers, bringing in more data, improving the company’s products, therefore attracting more customers.

But the release of OpenAI’s ChatGPT last November raised the fear, at least among investors, that the company had been ambushed. Who would need Intuit’s AI products if anyone could ask free or low-cost generative AI to do almost anything? The fear deepened when OpenAI introduced GPT-4 three months later and demoed its ability to calculate taxes—calling the system TaxGPT and asking it to answer the tax problem of a fictional couple, to show how it arrived at its answer, and, as a flourish, to write a rhyming poem summarizing it all (“To calculate their tax, it’s true/A standard deduction we must construe…”).

The fears are unwarranted—for now. GPT-4 can read the tax code, but it can’t give personalized recommendations because it doesn’t have Intuit’s massive proprietary dataset. GPT-4 is “more friend than potential threat” to Intuit, says Ader, because Intuit “has the data—that is what they have in spades.”

Investors seem to like Intuit’s A.I.-powered strategy to date. The stock has far outperformed the S&P and Nasdaq since Goodarzi took the helm. But he feels certain his controversial call of five years ago has a long way yet to play out. His goals are broadscale: to double the savings rate of customers on Intuit’s platform by 2025 (the U.S. personal savings rate was 3.5% in July) and to increase the success rate of small and medium businesses on the platform by 20 percentage points by 2030 (about 50% of new businesses fail in the first five years). As for the company itself, Intuit expects its revenue to increase 11% to 12% in the fiscal year ending July 31, 2024, and expects earnings per share to increase 11% to 15%.

Goodarzi considers A.I. a general-purpose technology as transformative as electricity and the internet. “We are at the beginning of the journey with A.I.,” he says. “In the next five to 10 years it will create new economies and destroy some economies, will create new experiences, fuel new company growth, and make certain companies go out of business.”

This story was originally featured on Fortune.com
 

GnauzBookOfRhymes

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Dr. Clune argues that this kind of agent will eventually allow artificial intelligence to use a much broader range of software apps and websites. He said everyone would have access to a digital assistant that could potentially do almost anything on the internet. That could make life easier — but it could also replace countless jobs.

The good and the bad.
 

bnew

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Stack Overflow lays off over 100 people as the AI coding boom continues​

/

Stack Overflow has laid off 28 percent of its staff over a year after doubling its employee base in a massive hiring push.​

By Wes Davis, a weekend editor who covers the latest in tech and entertainment. He has written news, reviews, and more as a tech journalist since 2020.

Oct 16, 2023, 10:25 AM EDT|15 Comments / 15 New

A Stack Overflow graphic with the company’s logo and large bars colored in with orange gradients cutting diagonally across it.

Stack Overflow cuts 28 percent of its staff. Image: Stack Overflow

Coding help forum Stack Overflow is laying off 28 percent of its staff as it struggles toward profitability. CEO Prashanth Chandrasekar announced today that the company is “significantly reducing the size of our go-to-market organization,” as well as “supporting teams” and other groups.

After the team doubled its employee base last year, Chandrasekar told The Verge’s Nilay Patel in an interview that about 45 percent of those hires were for its go-to-market sales team, which he said was “obviously the largest team.” We’ve reached out to Stack Overflow to find out what other teams may have been affected.

Related​


Word of the layoffs comes over a year after the company made a big hiring push, doubling its size to over 500 people. Stack Overflow did not elaborate on the reasons for the layoff, but its hiring push began near the start of a generative AI boom that has stuffed chatbots into every corner of the tech industry, including coding. That presents clear challenges for a personal coding help forum, as developers get comfortable with AI coding assistance and the very tools that do that are blended into products they use.

AI-generated coding answers have also posed problems for the company over the past year. The company issued a temporary ban on users generating answers with the help of an AI chatbot in December last year, but its alleged under-enforcement led to a months-long strike among moderators that was resolved in August; the ban is still in place today. Stack Overflow also announced it would start charging AI companies to train on its site.
 

bnew

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Tech Leaders Say AI Will Change What It Means to Have a Job​

At WSJ Tech Live, OpenAI’s Sam Altman said coming workforce changes will play out unevenly​


By
Deepa Seetharaman
and
Georgia Wells

Updated Oct. 18, 2023 1:53 am ET


Listen
(5 min)
https://m.wsj.net/video/20231018/4c057d76-71c4-43d8-aa6f-a706f2e42e09/1/hls/manifest-hd-wifi.m3u8

At WSJ’s Tech Live conference, OpenAI CEO Sam Altman explores AI’s role in transforming the job market. Photo: Nikki Ritcher for The Wall Street Journal

LAGUNA BEACH, Calif.—Artificial intelligence will likely lead to seismic changes to the workforce, eliminating many professions and requiring a societal rethink of how people spend their time, prominent tech leaders said Tuesday.

Speaking at The Wall Street Journal’s Tech Live conference on Tuesday, OpenAI CEO Sam Altman said that the changes could hit some people in the economy more seriously than others, even if society as a whole improves. This will likely be a hard sell for the most affected people, he said.
“We are really going to have to do something about this transition,” said Altman, who added that society will have to confront the speed at which the change happens. “People need to have agency, the ability to influence. We need to jointly be architects of the future.”

Artificial intelligence is expected to transform the global economy by driving gains in both productivity and growth. But economists and tech entrepreneurs are divided on how quickly this shift could—and should—happen.

im-870629

Sam Altman, CEO of OpenAI, and Mira Murati, the company’s chief technology officer, at the WSJ Tech Live conference on Tuesday. PHOTO: NIKKI RITCHER FOR THE WALL STREET JOURNAL

Earlier Tuesday, Vinod Khosla, a prominent venture capitalist whose firm was one of OpenAI’s earliest backers, laid out a stark timeline for AI’s transformation of work. Within 10 years AI will be able to “do 80% of 80% of all jobs that we know of today,” said Khosla, a tech investor and entrepreneur for more than 40 years.

He pointed to many types of physicians and accountants as examples of professions that AI could largely supplant because these systems can more easily access a broad array of knowledge. Khosla likened the extent of the workforce changes to the disappearance of agricultural jobs in the U.S. in the 20th Century—a transition that took place over generations, not years.

The increased prosperity that AI will bring to societies that adopt it, however, will allow people who don’t want work to avoid it if they choose to.

“I believe the need to work in society will disappear in 25 years for those countries that adapt these technologies,” he said. “I do think there’s room for universal basic income assuring a minimum standard and people will be able to work on the things they want to work on.”

Altman said that ensuring a basic income won’t be enough. People will need outlets for creative expression and a chance to “add something back to the trajectory of the species,” he said.

OpenAI ignited the current artificial intelligence fervor in Silicon Valley with its chatbot ChatGPT last November. The surprise success of the product has launched significant debate around the best way for governments and people to prepare for the potentially sweeping changes wrought by AI.

One point of concern: the ability to distinguish between real and AI-generated content. AI-generated images are already used to spread misinformation, infringe on intellectual property or sexualize photos of people. AI tools for detecting those types of images are still under development.


Altman said OpenAI explicitly decided to call its chatbot ChatGPT and not a person’s name so people wouldn’t confuse the tool with a person.

Chris Cox, Meta’s chief product officer, said at the Tech Live conference that Meta decided to give chatbots personas in an effort to make them more engaging. Users want to interact with a tool that has personality, not something that feels like a robot, he said.


The company in September announced a bevy of AI chatbots based on celebrities including Naomi Osaka, Snoop Dogg and Tom Brady.

In the chatbot, Meta indicates at the start of a conversation that they are communicating with AI rather than the actual celebrity.

“Having products that experiment with what is possible is great, but having anything that doesn’t make it clear to people what is going on is a problem,” Cox said.

Asked about the challenges users can have determining whether content is real or AI-made, OpenAI Chief Technology Officer Mira Murati said the company is developing technology to help detect the provenance of images. That tool is “almost 99% reliable,” she said but the company is still testing it and wants to design it in such a way that OpenAI’s users don’t feel monitored.

Altman said he thinks consumers could interact with generative AI on new types of devices in the future, but said he doesn’t know what an AI-centric device would be.

Write to Deepa Seetharaman at deepa.seetharaman@wsj.com and Georgia Wells at georgia.wells@wsj.com
 

bnew

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Acemoglu's interest in AI predates the explosion of ChatGPT by many years. That's in part thanks to his wife, Asu Ozdaglar, who heads the electrical engineering and computer science department at MIT. Through her, he received an early education in machine learning, which was making it possible for computers to complete a wider range of tasks. As he dug deeper into automation, he began to wonder about its effects not just on factory jobs, but on office workers. "Robots are important, but how many blue-collar workers do we have left?" he told me. "If you have a technology that automates knowledge work, white-collar work, clerical work, that's going to be much more important for this next stage of automation."

In theory, it's possible that automation will end up being a net good for white-collar workers. But right now, Acemoglu is worried it will end up being a net bad, because society currently doesn't display the conditions necessary to ensure that new technologies benefit everyone. First, thanks to a decades long assault on organized labor, only 10% of the working population is unionized — a record low. Without bargaining power, workers won't get a say in how AI tools are implemented on the job, or who shares in the wealth they create. And second, years of misinformation have weakened democratic institutions — a trend that's likely to get worse in the age of deep fakes.

Moreover, Acemoglu is worried that AI isn't creating enough new tasks to offset the ones it's taking away. In a recent study, he found that the companies that hired more AI specialists over the past decade went on to hire fewer people overall. That suggests that even before the ChatGPT era, employers were using AI to replace their human workers with software, rather than using it to make humans more productive – just as they had with earlier forms of digital technologies. Companies, of course, are always eager to trim costs and goose short-term profits. But Acemoglu also blames the field of AI research for the emphasis on replacing workers. Computer scientists, he notes, judge their AI creations by seeing whether their programs can achieve "human parity" — completing certain tasks as well as people.

"It's become second nature to people in the industry and in the broader ecosystem to judge these new technologies in how well they do in being humanlike," he told me. "That creates a very natural pathway to automation and replicating what humans do — and often not enough in how they can be most useful for humans with very different skills" than computers.
 

GnauzBookOfRhymes

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Moreover, Acemoglu is worried that AI isn't creating enough new tasks to offset the ones it's taking away. In a recent study, he found that the companies that hired more AI specialists over the past decade went on to hire fewer people overall. That suggests that even before the ChatGPT era, employers were using AI to replace their human workers with software, rather than using it to make humans more productive – just as they had with earlier forms of digital technologies.

This is the reason for the phenomena we're seeing in corporate america today where companies claim they're having difficulties finding workers and point to high #'s of vacancies but many in the job market finding it almost impossible to land a position bc they're competing with hundreds/thousands of applicants. The companies have automated many of the jobs already and slow walk or outright sabotage the employment/hiring process. It's a dirty game.
 

Micky Mikey

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@bnew

Do you follow David Shapiro? If so, what do you think of his prediction that we'll have AGI 12 months from now?

 
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