🛩️AI Air Combat Approaching Fast

May 06, 2024

Reading time: 5 minutes  

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Today we will discuss-

  • ✅AI-controlled F-16 gets U.S. Air Force Secretary's approval 

  • 📰X introduces Grok-powered news summaries

  • 🎙️Sam Altman's thoughts on AI & AGI

  • ⚙️9 amazing AI tools you might not have heard of

All this and more - Let's dive in!

👩‍🍳What’s cooking in the newsroom?

U.S. Air Force secretary flies in AI-controlled F-16, endorses future of AI in air combat

😀Context of the news - Last month, U.S. Air Force Secretary Frank Kendall announced plans to fly in an AI-controlled F-16 during a discussion on the future of air warfare with the U.S. Senate Appropriations Committee's defense panel.

🛫News - Following through on his plan, Kendall rode in the cockpit of the AI-controlled fighter jet last Friday. The historic flight took place over the California desert, marking a significant milestone in military aviation, comparable to the introduction of stealth technology in the early 1990s.

The AI-controlled F-16, named Vista, flew Secretary Kendall at speeds exceeding 550 mph. It raced alongside a human-piloted F-16, with both jets performing twists and loops within 1,000 feet of each other in an effort to gain the upper hand.

🤠Kendall's verdict - After the hour-long flight, Kendall exited the cockpit with a grin, expressing his confidence in AI technology to make decisions about weapon deployment during warfare.

Regarding the role of AI in air combat, the secretary emphasized its importance, stating, "It's a security risk not to have it. At this point, we have to have it." However, Kendall stressed that human oversight would always be involved when considering the use of weapons.

🕵🏻‍♂️Looking ahead - According to reports, the U.S. Air Force is planning to deploy a fleet of over 1,000 AI-operated drones by 2028. These drones will accompany human-piloted jets, providing cover and acting as escorts with full weapons capabilities. Additionally, they could serve as scouts or communications hubs.

X introduces in-app news summaries powered by Grok AI for premium subscribers

🗞️News - X, previously known as Twitter, has launched a new feature called Stories, powered by Elon Musk's AI chatbot Grok.

With Stories, premium subscribers can now read a summary of posts associated with each trending story featured on the For You tab in Explore, saving them time scrolling through their timeline.

For example, an OpenTools reader's For You page might feature stories about Meta's new AI model, Microsoft's latest AI investment, and the rise of AI misinformation. When you tap on each story to view the associated X posts, a summary of the story will now appear at the top of the page, offering an overview of the subject matter.

However, below each summary powered by Grok, a message warns: "Grok can make mistakes, verify its outputs."

☕What's more? In a post on X, tech journalist Alex Kantrowitz outlined Elon Musk's plans for AI-powered news on the platform, based on an email conversation with the X owner.

According to Kantrowitz, Grok's summaries will primarily be based on conversations on X, rather than the content of the articles themselves. This means that Grok won’t analyze the article text, focusing instead on the discussions happening on the platform. While this approach may not always accurately represent the news being shared, as discussions on X often consist of reactions and opinions rather than the news itself. While Kantrowitz described the move as "controversial," he acknowledged that there is a potential opportunity.

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Key insights from Sam Altman's Stanford University talk on AI & AGI

👨🏻‍💻News - During a recent Q&A session at the Stanford Seminar for Aspiring Entrepreneurs, Sam Altman discussed the future of AI development and ways the path to AGI with Stanford adjunct lecturer Ravi Belani. Here are some key takeaways:

  1. Altman's view of GPT-4 - Altman expressed his disappointment with GPT-4's performance, describing it as "mildly embarrassing."

    Our take: Despite Altman's criticism, models like ChatGPT have achieved significant success, being adopted by 80% of Fortune 500 companies and reaching 100 million weekly active users, highlighting their significant impact.

  2. Cost of AGI - Altman stated that the cost of achieving Artificial General Intelligence (AGI) is not a concern for him. He believes that the economic benefits AGI will bring far outweigh the costs.

    Our take: Altman's stance seems justified. Even his highest estimate of $50 billion a year seems insignificant compared to the predicted $15.7 trillion boost to the world economy by 2030, as estimated by Bank of America.

  3.  AI isn't all good - During a Q&A session, Altman acknowledged that AI has both positive and negative potential. While he believes AI will bring significant benefits, he also recognizes the risks of misuse.

    Our take: Having already witnessed how people misuse AI for deepfakes, phishing scams, and automated cyber attacks, there's the potential for more of these threats to emerge in the future.

  4.  Innovation and responsibility - Altman discussed OpenAI's approach to balancing innovation with responsible development of AGI. He emphasized the need for iterative deployment and continuous monitoring to effectively mitigate risks.

    Our take: We agree that to support responsible AI development, it's important to proceed cautiously and take small steps.

Watch the full session 👇🏻

🙆🏻‍♀️What else is happening?

🤓Casual AI banter

The Turing test is a well-known method for defining artificial intelligence (AI): if you can mistake a computer for a human, it's considered artificially "intelligent."

But did you know that Alan Turing initially named it "the imitation game," envisioning it as a guessing game? In this experiment, one person interacts with two external parties—a person and a computer—and tries to identify which one is the machine based on their conversations.

And, while the original Turing test involved a single person interacting for a short duration, in 1990, inventor Hugh Loebner modified the rules, increasing the interaction time to 25 minutes and involving four people in the conversation with the external party.

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🏓Mythbuster

Myth - AI can make complex moral decisions

Fact - While AI can assist in decision-making processes, it can't make complex moral judgments or understand ethical nuances in the same way humans can. For example, self-driving cars can't make moral decisions in life-threatening situations like humans can.

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