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AI just flew an F-16 for 17 hours: A peek into pilotless flights?

US Navy-Qualcomm collab in 5G and AI research, Shopify’s AI product description writer, plus more top stories

👩‍💻 Metaproof AI

Hey frens, this is Sophia from 👩‍💻 Metaproof AI, the weekly newsletter where we keep you informed on how artificial intelligence (AI) is shaking things up across industries.

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📲 By the numbers

AI is poised for huge growth in education. Here are some current and projected numbers (Source):

  • AI in the education market is predicted to reach $30B by 2032, with growing adoption of AI services at educational institutions fostering segment growth.

  • AI is expected to contribute $15.7 trillion to the global economy by 2030, with the AI software market expected to grow to $1.09 trillion by 2032. The potential global market size of AI in edtech alone is $80B.

  • The machine learning segment accounted for 20% share of AI in education market revenue in 2022, with more educators using it to identify struggling students earlier and take action to improve performance and retention.

📫 News & trends

Marking the first time the technology operated a tactical aircraft, artificial intelligence software has just flown Lockheed Martin’s VISTA X-62A for more than 17 hours, heralding the era of next-generation fighter jets flying with a little help from computers. The flighty details here:

  • It happened in U.S. Air Force Test Pilot School at Edwards Air Force Base in California, with the VISTA fitted with software that allows it to mimic the performance traits of other aircraft. For aircraft geeks, the test plane is a modified F-16D Block 30 Peace Marble Il aircraft upgraded with Block 40 avionics.

  • It’s a sign of things to come: sixth-generation fighter jets, while still in the concept stage, are anticipated to have the option to fly without pilots.

  • Countries like the UK, Italy, and Japan have announced plans to develop a new fighter that uses algorithms instead of pilots, while Russia is also getting into the AI aircraft space.

Google's AI research project MusicLM can generate music from text prompts. It’s an understatement that the AI-generated music is difficult to distinguish from music created by humans, though it can have grainy sound, time warping, and inaudible vocals. Yet it’s the implications for the music industry that raises concerns around AI-generated music: It can be used by musicians for inspiration and could potentially lead to new forms of creativity, but also brings to the fore challenges in copyright infringement and misappropriation of creative content when using AI systems.

The Naval Postgraduate School and wireless giant Qualcomm Technologies have inked a cooperative research agreement to explore 5G, AI, and cloud computing - some of the defense office’s pressing priorities. Informing the digital pursuits of the Navy and Marine Corps, the collaboration will establish an innovation lab on campus and engage school faculty and students with some of the leading scientists in the private sector.

The agreement's focus areas align with the military's ambitious plans to spend billions of dollars on seamless connectivity and computer-augmented decision-making. There may be concerns about the limitations of the research agreement, such as the ability for full-scale implementation of the technology, yet it’s a show of the Navy’s goal of“creating a culture that nurtures innovation and drives our competitive advantage.”

Capitalizing on the current AI buzz, Shopify has introduced a new product-description tool called Shopify Magic. As part of its ecommerce platform, the new tool uses the underlying technology similar to what’s driving ChatGPT, helping businesses quickly write product descriptions and prepare their store for launch via well-crafted product pages. Here’s how Magic works:

  1. It asks Shopify stores to input a minimum of two keywords, then automatically fills in a description for their product listing.

  2. It uses so-called large language models to do this, employing a computer program to distribute probability over large sequences of words then produces a real-time result based on its learnings.

AI is helping close supply chain gaps, and digital manufacturing marketplaces such as Xometry are using AI to match manufacturers with hard-to-find parts. Xometry leverages AI to match manufacturers with hard-to-find parts in seconds, with its database of more than 10,000 vetted domestic and international suppliers.

Many small and large manufacturers are still using decades-old machines and it’s common for them to run into issues sourcing key parts for their equipment. Even if they do find a replacement part, it’s not always possible to order just one or two of them, making the speed and efficiency of AI a game changer. While AI may not be able to accurately predict future supply chain disruptions or match industry players with the most suitable parts, this development shows new innovative ways to work in business.

No, AI isn’t a plug-and-play tool. It’s neither infallible nor capable of independent thought and emotion. AI also cannot operate without human oversight: it’s a tool, not a panacea and only as good as the algorithms that guide its actions and the data it’s fed, according to Michael O’Malley of SenecaGlobal. While the media also portrays AI as a “superintelligence” that can solve all problems, it’s quite dumb in reality and won’t be able to solve just any problem and learn quickly. Discover these 16 things that we often get wrong about AI and the fascinating realities behind them.

AI technology is finding more and more groundbreaking uses in Hollywood, including de-aging actors like Tom Hanks and Robin Wright for the upcoming film Here for a cheaper, more realistic take than VFX or CGI. It’s also being harnessed to create content, predict casting, and even ascertain moviegoers’ film preferences.

AI can reduce render times as well. It’s worth noting that we’ve only scratched the surface when it comes to its uses in the movie industry; AI is still in its early stages and may not be able to completely replace traditional methods (which may not be the point in the first place). The question is: are audiences keen to accept and embrace AI as reality for it to work effectively in films?

🏃‍♂️Quick hits

  • ChatGPT recently demonstrated its ability to perform at or around the passing threshold of 60% on the United States Medical Licensing Exam (USMLE), its responses found coherent, making internal sense, and frequently containing insightful information.

  • It might not be love, after all. Romance scams and swindlers have found an ally in AI: security firm McAfee's Modern Love Research Report showed that 7 in 10 people failed to distinguish if AI wrote a love letter.

  • AI and machine learning technologies are optimizing the space business, allowing operators of remote-sensing constellations to plan satellite operations, run simulations, and identify what resources are needed where.

  • While some aspects of Al systems can be protected by patents, copyright and trade secrets, machine learning systems don't fit neatly into the conventional IP categories.

  • In India, you can upgrade your skills with artificial intelligence courses from institutions such as Henry Harvin Education, Mindmajix, Intellipaat, and Simplilearn.

💸 Finance buzz

  • In Canada, SCALE AI announced a record-breaking financing round with $117M in investments supporting 15 AI projects. (Source)

  • Madison Square Garden (MSG) Sports will invest up to $10M into Xtract One through a new partnership with the AI-powered security technology company. (Source)

🗣️ Quote of the week

“AI isn’t one big thing. It’s a collection of technologies, some of which are new and groundbreaking, others of which are decades-old and embedded in tools we use every day. AI can run on massive data sets, but it can also run with small, more controlled data sets. Getting value out of AI requires that organizations understand the tools available and apply the right ones to the job.”

Don Schuerman, CTO and VP of product marketing at Pegasystems

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All content on this newsletter is for informational purposes only and does not aim to serve as or replace expert investment advice.

If you are a startup building in the metaverse / web3 ecosystem and are raising capital, please reach out to Sfermion. Sfermion is an investment firm focused on accelerating the emergence of the metaverse.

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