Applied AI Weekly News

Justin Grammens

Woot! Welcome Applied AI Weekly Readers to the latest issue. I'm thrilled to once again share with you the most interesting articles I've found this past week on Artificial Intelligence. Before we go there, here are a few things to note...

I had an awesome experience keynoting the National Investment Center for Seniors and Housing and Care Conference. You can read all about it here.
Additionally, I spoke at several other conferences on Artificial Intelligence. Here are just a few notes from Healthcare Analytics Conference, Open Source North, and DataTech.
Be sure to attend one of the upcoming Applied AI events we have going on this summer!
I'm continuing to offer free consultations and workshops with many business leaders on how AI is changing the landscape of how you will run your business today and into the future. Connect today and book a meeting with me.

Finally, I'll be speaking at the Healthcare Summit on July 11th. Find details and register today!.

Now that we have that covered, please enjoy the articles that I have spent time finding and curating for you this past week. Reach out if there's anything you feel I might have missed. Enjoy!

News

What Happened to the Artificial-Intelligence Revolution?

So far the technology has had almost no economic impact.

Move to San Francisco and it is hard not to be swept up by mania over artificial intelligence (AI). Advertisements tell you about how the tech will revolutionize your workplace. In bars, people speculate about when the world will “get agi”, or when machines will become more advanced than humans. The five big tech firms—Alphabet, Amazon, Apple, Meta, and Microsoft, all of which have either headquarters or outposts nearby—are investing vast sums. This year they are budgeting an estimated $400bn for capital expenditures, mostly on ai-related hardware, and for research and development.

Chatbots Have Thoroughly Infiltrated Scientific Publishing

Researchers are misusing ChatGPT and other artificial intelligence chatbots to produce scientific literature. At least, that’s a new fear that some scientists have raised, citing a stark rise in suspicious AI shibboleths showing up in published papers.

Meta Is Changing Artificial Intelligence Labels After Real Photos Were Marked As AI

Meta is changing the labels it applies to social media posts suspected to have been generated in some way with artificial intelligence tools. The Facebook, Instagram, Threads and WhatsApp parent company said its new label will display "AI Info" alongside a post, where it used to say "Made with AI."

Inside OpenAI’s New Plan for Fighting Deepfakes

With just under five months to go in the US presidential campaign, the biggest social networks have mostly managed to stay out of election coverage. With the top match-up a repeat of 2020, the candidates and their respective positions are well known by many voters. Whatever happens in November — and unlike in the epoch-shifting election of 2016 — it is difficult to imagine a scenario in which platform policies play a decisive role in the outcome.

Sponsor

Leverage Artificial Intelligence to Bring Efficiency and Innovation to Your Business

At Recursive Awesome, we have a team of consultants to help leaders leverage Artificial Intelligence to bring efficiency and innovation to their business. We are experts in strategy, implementation, and training to help you use modern technology and AI tools from leading solution providers. Contact us today!

Security

Artificial intelligence Can Speed-Sort Satellite Photos

In 1957 Frank Rosenblatt, a psychologist, built a machine called the Perceptron. Modeled on the human brain, its neural networks were a forerunner of today’s artificial intelligence (ai). It intrigued the CIA which was drowning in photos from spy planes and satellites. It funded the Perceptron in the hope of automatically identifying objects of interest. The experiment failed. There was not enough computing power, storage, or training data available. But it was a start.

Business

What the Luddites Can Teach Us About the Next Tech Rebellion

The reason that there are so many similarities between today and the time of the Luddites is that little has fundamentally changed about our attitudes toward entrepreneurs and innovation, how our economies are organized, or the means through which technologies are introduced into our lives and societies.

How Banks and Big Tech Use AI to Modernize Workflows

No matter where the world may fall on the AI hype cycle, as the technology continues to evolve and access further democratizes, its integration into internal workflows will likely become even more sophisticated and widespread as companies look to focus on areas like improving productivity, automating processes and modernizing the customer experience.

Healthcare

The Promise Of CRISPR GPT: Specialized ChatGPTs In Medicine

We’ve recently come across some fascinating developments in the field of gene editing: CRISPR GPT, a large language model agent designed to automate the design of gene-editing experiments. This got us thinking: what other ‘specialty GPTs‘ could we think of? What highly specific applications might there be for large language models (LLMs)?

Healthcare's Hope in Artificial Intelligence

How much can we trust artificial intelligence (AI)? How much could AI transform an industry as stodgy as healthcare, where other technologies have failed time and time again? These questions were far from mainstream thought until just a few years ago when the current wave of AI innovation captured the attention of the public, industry, investors, regulators, and everyone in between.

Generative AI Is Coming for Healthcare, and Not Everyone's Thrilled

Generative AI, which can create and analyze images, text, audio, videos, and more, is increasingly making its way into healthcare, pushed by both Big Tech firms and startups alike.

Google Cloud, Google’s cloud services and products division, is collaborating with Highmark Health, a Pittsburgh-based nonprofit healthcare company, on generative AI tools designed to personalize the patient intake experience. Amazon’s AWS division says it’s working with unnamed customers on a way to use generative AI to analyze medical databases for “social determinants of health.” Microsoft Azure is helping to build a generative AI system for Providence, the not-for-profit healthcare network, to triage messages to care providers sent from patients automatically.

Employment

Applied AI Community

Applied AI is an online community that develops the next generation of experts by educating citizens of all ages on the tools, processes, and applications that are needed to implement solutions that use Artificial Intelligence (AI). The organization runs regular events that involve training, learning, and sharing real-world projects where AI is applied to solve problems that impact our lives.

Enterprise

The Rise Of The Chief AI Officer

Companies implementing a Chief AI Officer to spearhead their artificial intelligence initiatives is becoming a rapidly emerging trend. According to LinkedIn, 13% more organizations have created AI executive leadership roles since December 2022.

Ashton Kutcher: AI Will Soon Create Full Movies, Raise Bar in Hollywood

“Why would you go out and shoot an establishing shot of a house in a television show when you could just create the establishing shot for $100? To go out and shoot it would cost you thousands of dollars,” Kutcher said. “Action scenes of me jumping off of this building, you don’t have to have a stunt person go do it, you could just go do it [with AI].”

Video

Google Releases Imagen 2, a Video Clip Generator

Imagen 2 — which is actually a family of models, launched in December after being previewed at Google’s I/O conference in May 2023 — can create and edit images given a text prompt, like OpenAI’s DALL-E and Midjourney. Of interest to corporate types, Imagen 2 can render text, emblems, and logos in multiple languages, optionally overlaying those elements in existing images — for example, onto business cards, apparel and products.

Development

What We Learned from a Year of Building with LLMs (Part I)

It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. LLMs are also broadly accessible, allowing everyone, not just ML engineers and scientists, to build intelligence into their products. While the barrier to entry for building AI products has been lowered, creating those effective beyond a demo remains a deceptively difficult endeavor.

SMALL is the New Big — Embracing Efficiency in the Age of AI

"With all of this talk about AI automating so many parts of a startup, are the days of "scaling up" staff becoming an old-timey throwback to growth? As things consolidate, should I be focused on scaling staff or scaling the technology to augment them?"

Meta Is About to Launch Its Biggest Llama Model yet — Here’s Why It’s a Big Deal

An open-source ChatGPT-4 competitor?

In April 2024, Meta released Llama 3, the latest version of its AI-powered large language models based on a dataset that’s at least 7 times larger than Llama 2.

Initially available in 8B and 70B parameter sizes, Llama 3 already outperformed Llama 2, Google's open-source Gemma, and Anthrophic’s Claude Sonnet at launch. Sonnet has since had an upgrade making it one of the most powerful AI models.

M.S. in Artificial Intelligence at the University of St. Thomas

Join me as I'm teaching in this newly formed program!

The Master of Science (M.S.) degree in Artificial Intelligence from the University of St. Thomas equips students with the expertise to design and develop cutting-edge AI systems.

Books

The Coming Wave with Mustafa Suleyman

"If we are to be able to harness the upsides [of these technologies], we have to take a cold hard look at their potential downsides. Too often, people fall into one or other camp—naive techno optimists […] or modern-day Luddites. That does not cut it anymore."

Survey

AI 50: Companies of the Future

Last year generative AI moved from the background to the foreground of the AI 50 list. This year it is front and center as we see the beginnings of major AI productivity gains for both enterprise customers and consumers. Although the majority of 2023’s AI venture funding in the U.S. went to infrastructure—60% to the biggest large language model (LLM) providers—application companies continue to dominate the AI 50 list.