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Category: employment – Page 25

AI-related jobs are on the rise but funding has taken a dip.

The technology world goes through waves of terminologies. Last year, was much about building the metaverse until it turned to artificial intelligence (AI) which has occupied the top news spots almost everywhere. To know whether this wave will last or wither off, one needs to look at some trusted sources in the domain, such as the one released by Stanford University.

For years now, the Institute for Human-Centered Artificial Intelligence at Stanford has been releasing its AI Index on an annual basis.

Black_Kira/iStock.

Continue reading “New Stanford report highlights the potential, costs, and risks of AI” | >

Is artificial intelligence on the path to replacing people and jobs? Not quite. GSB professors argue that instead of viewing #AI as a competitor, we should be embracing it as a collaborator.

“The idea that AI is aimed toward automation is a misconception. There’s so much more opportunity for this technology to augment humans than the very narrow notion of replacing humans.” Professor Fei-Fei Li, co-director of the Stanford Institute for Human-Centered Artificial Intelligence.
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The non-profit said powerful AI systems should only be developed “once we are confident that their effects will be positive and their risks will be manageable.” It cited potential risks to humanity and society, including the spread of misinformation and widespread automation of jobs.

The letter urged AI companies to create and implement a set of shared safety protocols for AI development, which would be overseen by independent experts.

Apple cofounder Steve Wozniak, Stability AI CEO Emad Mostaque, researchers at Alphabet’s AI lab DeepMind, and notable AI professors have also signed the letter. At the time of publication, OpenAI CEO Sam Altman had not added his signature.

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The latest breakthroughs in artificial intelligence could lead to the automation of a quarter of the work done in the US and eurozone, according to research by Goldman Sachs.

The investment bank said on Monday that “generative” AI systems such as ChatGPT, which can create content that is indistinguishable from human output, could spark a productivity boom that would eventually raise annual global gross domestic product by 7 percent over a 10-year period.

But if the technology lived up to its promise, it would also bring “significant disruption” to the labor market, exposing the equivalent of 300 million full-time workers across big economies to automation, according to Joseph Briggs and Devesh Kodnani, the paper’s authors. Lawyers and administrative staff would be among those at greatest risk of becoming redundant.

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If “junk” DNA goes toxic, does that suggest it had an original normal function? See the conclusion of this new paper, “Native functions of short tandem repeats” (emphasis added):

Historically, repetitive elements within human genomes have been viewed as mostly unregulated ‘junk DNA’ that is not under selective evolutionary pressure. As such expansions of these repetitive elements are unfortunate accidents which become apparent and important only when they elicit highly penetrant and syndromic human diseases. Consistent with this line of reasoning, the field of REDs [Repetitive Element Diseases] has largely focused on emergent toxic mechanisms as drivers of disease only in the setting of large STR [Short Tandem Repeats] expansions rather than considering their pathology as alterations in the native functions played by these repeats in their normal genomic contexts. Here, we propose re-framing the discussion around repetitive elements in general — and STRs in particular — within human genomes.

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Presented by Intel.

Every day around the world, companies leverage artificial intelligence to accelerate scientific discovery, and transform consumer and business services. Regrettably, the employment of AI is not occurring evenly. McKinsey’s ‘The State of AI in 2022’ report documents that adoption of AI by organizations has stalled at 50%. AI leaders are pulling ahead of the pack. One reason is 53% of AI projects fail to get to production. As the benefits of AI to everyone are too great and the issues with AI being in the hands of only a few are too concerning, that it is an opportune time to survey the challenges of going from concept to deployment.

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At a company that helps people find jobs, 2,200 employees will now have to embark on a job search of their own. Indeed laid off 15% of employees today, CEO Chris Hyams announced in an all-hands meeting.

In a blog post, Hyams elaborated on the decision by explaining that the job market is expected to continue to cool down. Indeed makes its money by allowing companies to sponsor job listings, which shows the listing to more job seekers. But Hyams said that as of last quarter, sponsored job volumes were down 33% year over year, and total job openings were down 3.5%.

“With future job openings at or below pre-pandemic levels, our organization is simply too big for what lies ahead,” Hyams wrote. “We have held out longer than many other companies, but the revenue trends are undeniable. So I have decided to act now.”

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Register Free for NVIDIA’s Spring GTC 2023, the #1 AI Developer Conference: https://nvda.ws/3kEyefH
RTX 4,080 Giveaway Form: https://forms.gle/ef2Kp9Ce7WK39xkz9

The talk about AI taking our programming jobs is everywhere. There are articles being written, social media going crazy, and comments on seemingly every one of my YouTube videos. And when I made my video about ChatGPT, I had two particular comments that stuck out to me. One was that someone wished I had included my opinion about AI in that video, and the other was asking if AI will make programmers obsolete in 5 years. This video is to do just that. And after learning, researching, and using many different AI tools over the last many months (a video about those tools coming soon), well let’s just say I have many thoughts on this topic. What AI can do for programmers right now. How it’s looking to progress in the near future. And will it make programmers obsolete in the next 5 years? Enjoy!!

The Sessions I Mentioned:
Fireside Chat with Ilya Sutskever and Jensen Huang: AI Today and Vision of the Future [S52092]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…314001t6Nv.
Using AI to Accelerate Scientific Discovery [S51831]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…197001tw0E
Generative AI Demystified [S52089]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…393001DjiP
3D by AI: Using Generative AI and NeRFs for Building Virtual Worlds [S52163]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…782001l1Ul.
Achieving Enterprise Transformation with AI and Automation Technologies [S52056]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…353001hjSr.

A portion of this video is sponsored by NVIDIA.

Continue reading “Coding won’t exist in 5 years? You might be right” | >