Good morning, aspiring leaders of the next-gen! ☀️

🚀 Here’s what’s going on today in the AI space…

Amidst growing competition and a stagnating valuation relative to AI-forward rivals, Apple faces considerable pressure to innovate at its upcoming Worldwide Developers Conference (WWDC) on Monday. The tech giant is expected to unveil a series of significant artificial intelligence enhancements in an effort to rejuvenate its core iPhone business. This event, which could be Apple's most pivotal software presentation in a decade, marks a crucial moment for the company as it seeks to assert its technological leadership and address investor concerns.

Northamptonshire Police will employ facial recognition technology at the British Grand Prix at Silverstone for a second consecutive year, aiming to enhance security and prevent crime during the event scheduled for July 4-7, which is expected to attract around 480,000 attendees. Despite previous legal challenges and concerns about bias and privacy, the technology will match facial scans against a watch list, with manual checks like fingerprint verification to minimize errors, emphasizing the police's commitment to public safety akin to the use of CCTV in public spaces.

Tektonic AI has secured $10 million to develop GenAI agents focused on automating business operations. Meanwhile, Sirion, currently valued at approximately $1 billion, has acquired Eigen, signaling ongoing consolidation in enterprise AI tooling.

📔 #1 Insights This Week on AI. Click the Links to Read

“Try not to become a person of success, but rather try to become a person of value” - Albert Einstein

Albert Einstein was a German-born physicist who developed the special and general theories of relativity. He won the Nobel Prize for Physics in 1921 for his explanation of the photoelectric effect.

⬆️ ️ Trends: How Businesses Implement AI

Human Native AI, a London-based startup, is creating a marketplace to facilitate AI training data licensing deals. As AI systems and large language models (LLMs) require vast amounts of data, ensuring legal and ethical usage is crucial. Recent licensing agreements by OpenAI with The Atlantic and Vox highlight the growing demand for such deals.

Revolutionizing AI Training Data Licensing

Human Native AI connects AI companies needing training data with rights holders willing to license their content. Rights holders can upload their content for free and engage in revenue-sharing or subscription deals with AI companies. The startup also assists in pricing content and monitors for copyright infringements, taking a cut from each deal and charging AI companies for transaction and monitoring services.

Founding Story and Market Potential

James Smith, CEO and co-founder, inspired by his experience with Google's DeepMind, launched Human Native AI with engineer Jack Galilee in April. The startup has already formed several partnerships and recently raised £2.8 million in a seed round led by LocalGlobe and Mercuri.

Human Native AI addresses the AI industry's demand for training data, simplifying the licensing process and making it accessible for both large and small AI developers. The startup aims to serve thousands of potential publishers and rights holders, providing a vital infrastructure for the sector.

Ethical and Regulatory Considerations

As AI regulation evolves, particularly with the European Union AI Act and potential U.S. regulations, the importance of ethically sourced data will increase. Human Native AI helps AI companies meet these regulatory requirements while supporting content creators.

Conclusion

Human Native AI offers a marketplace that benefits both AI developers and content rights holders. By ensuring ethical data use and providing a streamlined licensing process, the startup fosters a responsible and collaborative AI ecosystem.

For more information on how Human Native AI is transforming the AI training data landscape, visit their website or follow their latest updates.

🛸 Let’s Teleport in The Future

Throughout history, artificial intelligence has often been cast as the villain in popular culture and films, from the menacing HAL 9000 in "2001: A Space Odyssey" to Auto in "Wall-E," the relentless T-1000 in the "Terminator" franchise, and Ultron in "Avengers: Age of Ultron." Such portrayals might lead one to wonder if this is the inevitable path AI is destined to take. Will all AI systems eventually gain consciousness, turn against their creators, and wreak havoc?

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I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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