Home News Generative AI Takes Center Stage on the 2023 Ai4 Conference

Generative AI Takes Center Stage on the 2023 Ai4 Conference

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Generative AI Takes Center Stage on the 2023 Ai4 Conference

Over time, the landscape of artificial intelligence (AI) has undergone dramatic evolution. This continuous progression was showcased on the recent Ai4 Conference, held from August seventh to ninth, 2023, in Las Vegas, NV, where Generative AI took center stage.

A Glimpse Back at Ai4 2022

Last 12 months’s Ai4 conference was a celebration of the legacy techniques that laid the inspiration for current AI innovations. Sessions and discussions were heavily dominated by established methods like deep learning, which has been on the forefront of image and speech recognition advancements. Reinforcement learning was one other key player, with its ability to coach agents to make a series of choices by rewarding them for proper actions. Moreover, area of interest applications resembling federated learning made notable appearances, emphasizing the importance of privacy and decentralized machine learning.

The Emergence of Generative AI in 2023

Fast-forward a 12 months, and the scene had dramatically modified. It didn’t appear to matter when session you attended at this 12 months’s event,  Generative AI was the undisputed star of the show. This includes generating images, text, music, video, and more. With its potential to create content at a scale previously deemed unimaginable, its prominence on the 2023 Ai4 AI Conference was hardly surprising.

What caught many by surprise was not only the presence of Generative AI, however the extent to which it overshadowed legacy methods. This isn’t to suggest that foundational techniques have turn out to be obsolete; they continue to be integral to many AI applications. Nonetheless, the shift in focus underscores the industry’s tendency to be forward-looking, all the time in search of the subsequent breakthrough.

While the positive applications of Generative AI were highlighted, concerns concerning the potential negative implications of this technology were also present.

Concerns with Generative AI?

Mental Property

One panel focused exclusively on Mental Property concerns, the potential of those models to breed, rephrase, and even “create” recent content brings up significant concerns about plagiarism and mental property rights. How will we as a society attribute originality in a world where machines can generate content on demand?

The 2 questions that were raised are:

  1. If art is generated by AI can or not it’s copyrighted, and more importantly should or not it’s copyrighted?
  2. Are AIs that vacuum up the world’s information and art infringing on the copyright material of artists?

The 2 questions that were asked didn’t yet have a solid answer, as a society we’re still waiting for clarification on the above questions.

Security Threats

A number of the sessions discussed the potential misuses of AI in terms of adversarial attacks, or generating text, or voices, with the intention of deceiving most people.

For instance Generative AI’s capability to supply human-like text and imitate personal styles will be misused for phishing attacks. A complicated AI could craft emails or messages tailored to individuals, making scams more convincing than ever.

While deepfakes commonly discuss with video or audio, Generative AI also can craft fabricated textual content. Unscrupulous individuals could forge statements, interviews, or writings, wrongly attributing them to real individuals, potentially causing reputational harm. For instance, how do banks confirm a users voice over the phone if a voice will be cloned and words will be autogenerated on the fly?

A Standout StartUp

While a lot of the presentations were by legacy corporations, there was one standout startup that must be on everyone’s radar.

Rain Neuromorphics is working on constructing artificial brains by training End-to-End Analog Neural Networks with Equilibrium Propagation.

Rain has an ambitious roadmap that can ultimately enable 100 billion-parameter models in a chip the dimensions of a thumbnail.

Rain is a Y Combinator alumni company that features Sam Altman as an investor. In February, 2022 they announced a successful $25 Series A raise.

Way forward for AI

Notably absent were much discussions surrounding Artificial General Intelligence (AGI), or other ways to take AI to the subsequent level. It’s going to be interesting to see if this becomes more of a discussion at future Ai4 events once the extreme obsession with Generative AI subsides.

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