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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.

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.

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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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.

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😗 I am actually pretty happy about this because full automation will simply life rather than needing as much education the AI can do most of the work much like the star trek computer. Full automation will allow for more freedom even from common tasks allowing the AI to most of the thinking and tasks.


A senior developer tested GPT4 for programming. GPT4 gave the Terraform script code for a single instance of the Fargate API. GPT4 knows that the code will not scale to 10,000 requests per second. It then describes how to create an auto-scaling group and make the modifications to scale the code with AWS and configure the application load balancer.

NOTE: his prompt was way more detailed than an ordinary person would produce. An ordinary person would not be able to verify the results either. You can make the case for 10x or 100x programmer productivity. A senior developer can become a programming lead or manager guiding the AI prompt requests from the equivalent of multiple programming teams.

The advantage will not be to let people who do not know a topic to play with powerful tools. The advantage is to increase the productivity and capacity of competent people to do more in areas that they understand. The AI tools will uplevel the productivity in areas where you know what can and should be done. You do not want someone who does not know how to drive behind the wheel of a Formula One race car.

The rise of artificial general intelligence — now seen as inevitable in Silicon Valley — will bring change that is “orders of magnitude” greater than anything the world has yet seen, observers say. But are we ready?

AGI — defined as artificial intelligence with human cognitive abilities, as opposed to more narrow artificial intelligence, such as the headline-grabbing ChatGPT — could free people from menial tasks and usher in a new era of creativity.

But such a historic paradigm shift could also threaten jobs and raise insurmountable social issues, experts warn.

Our trusted and proven sources were correct once again, as just hours after we broke the news that a Gattaca series is in development at Showtime, The Hollywood Reporter confirmed our exclusive. One of our writers here at Giant Freakin Robot wrote just two weeks ago that the 1997 dystopian sci-fi classic would be perfect as a television series, and it’s amazing how quickly we went from hoping it would happen to confirming that it is. The new series will be coming from the creators of Homeland, Howard Gordan and Alex Gansa.

As noted in our initial report, this is not the first time the film, starring Ethan Hawke, Uma Thurman, and Jude Law, has been optioned as a series. Back in 2009, Sony attempted to turn the movie into a procedural from Gil Grant, a writer on 24 and NCIS. The underrated cult-classic movie is ideal for transforming into a prestige series on a premium network as its themes on transhumanism, genetic manipulation, and a stratified society have become more relevant as technology leaps forwards every year.

In Gattaca, eugenics separates society into “valids” and “in-valids,” even if genetic discrimination is illegal; that hasn’t stopped businesses from profiling, giving the best jobs to the former and only menial labor opportunities to the latter. Ethan Hawke plays Vincent, an in-valid with a heart defect that uses samples from Jude Law’s Jerome Morrow, a paralyzed Olympic champion swimmer that’s also a valid. Using the purloined DNA, Vincent cons his way into a job at Gattaca Aerospace Corporation, eventually being selected as a navigator for a trip to Saturn’s moon, Titan.