AI Revolution: Deepfakes Regulated, Research Advances, and Human-Like Interactions

Recent developments in the field of artificial intelligence have been making headlines, from legislative efforts to regulate AI-generated media to advancements in AI research and applications. New Jersey has made creating and sharing deceptive AI-generated media, also known as deepfakes, a crime punishable by up to five years in prison. Meanwhile, Chinese universities have surpassed their US rivals in AI research output, with Peking University leading the way. Experts are also making predictions about the future of AI, including a move away from unsupervised learning and the development of more human-like interactions with AI. Additionally, companies like Vana and Runway are working to give users control over their data and advance AI research, while Elon Musk is warning of the potential risks of AI. Overall, the field of AI is rapidly evolving, with significant implications for various aspects of society and industry.

New Jersey Makes Deepfakes a Crime

New Jersey has made creating and sharing deceptive AI-generated media a crime punishable by up to five years in prison. The law was signed by Governor Phil Murphy and establishes civil penalties for victims of deepfakes. A high school student, Francesca Mani, was a key advocate for the legislation after she was a victim of a deepfake video. The law defines a deepfake as any video or audio recording that appears to realistically depict someone doing something they did not actually do.

New Jersey Bans AI Deepfakes

New Jersey Governor Phil Murphy has signed a law making AI deepfakes illegal. The law was inspired by an incident at a New Jersey high school where a student used AI to create explicit images of classmates. The law establishes civil and criminal penalties for people who produce and share deepfakes. Francesca Mani, a student who was a victim of a deepfake, advocated for the law. Governor Murphy says the law is needed to keep young people safe from the harm caused by deepfakes.

Ohio Teen Helps Draft AI Legislation

A 19-year-old Ohio teen, Paisley Tuel, is helping draft legislation on healthcare and AI. Tuel, a pre-law student, became interested in the topic after learning that insurance companies were using AI to deny patient claims. She researched how states regulate AI in healthcare and found that Ohio lacked regulations. Tuel is working with lawmakers to create a bill that ensures transparency and safety in the use of AI in healthcare. The goal is to give patients more control over their medical decisions and ensure that AI is used to improve healthcare outcomes.

Chinese Universities Top AI Research

Chinese universities have surpassed their US rivals in AI research output, according to a recent ranking. Peking University has topped the list, with its Institute for Artificial Intelligence leading the way. The university's focus on AI research has led to breakthroughs in areas such as computer vision. Chinese universities are now at the forefront of AI development, with many experts predicting that China will lead the way in the field. The success of Chinese AI startup DeepSeek is also attributed to the country's strong AI research output.

AI Predictions for the Next Few Years

An MIT senior fellow has made six predictions about the future of AI. The predictions include a move away from unsupervised learning, the use of curation to improve AI models, and the development of more human-like interactions with AI. The fellow also predicts that some companies will focus on enterprise AI, while others will focus on consumer products. Additionally, the use of internal models will become more prevalent, and AI will become more autonomous and able to act without human prompting.

Vana Lets Users Own AI Models

Vana, a decentralized platform, allows users to upload their data and govern how it is used to train AI models. Users can contribute their data to train models and receive proportional ownership in the models. The platform has over 1 million users and has enabled the creation of personalized AI models and agents. Vana's goal is to give users control over their data and allow them to benefit from the use of their data in AI models. The company was founded by Anna Kazlauskas, who aims to create a more equitable AI ecosystem.

ApolloMD Partners with Adonis on AI

ApolloMD, a clinical outsourcing services organization, has partnered with Adonis, an AI orchestration platform, to bring agentic AI to 1,800 healthcare clinicians. The partnership aims to automate complex revenue cycle resolution workflows and has already seen a success rate of over 90% in autonomous issue resolution. Adonis' AI Agents will be used to streamline operations and improve financial performance. The partnership is part of ApolloMD's efforts to modernize its revenue cycle management operations.

Runway Raises $308M for AI Models

Runway, a startup developing generative AI models, has raised $308 million in a Series D funding round. The company will use the funds to advance its AI research and expand its film and animation production arm. Runway's AI models can generate video and images, and the company has already used its technology to fund films. However, Runway faces competition from other companies, including OpenAI and Google, and is currently facing a lawsuit from artists who claim that the company's models were trained on their copyrighted work without permission.

Elon Musk Warns of AI Risks

Elon Musk has warned that humans may be nothing more than a 'biological bootloader' for the development of advanced AI. Musk has repeatedly expressed concerns about the rapid growth of AI and its potential to surpass human intelligence. He has urged for regulatory oversight to prevent AI from becoming uncontrollable. Musk's comments have sparked a debate about the role of humanity in the rise of AI and the need for caution in its development. Some experts share Musk's concerns, while others argue that AI will always remain a tool controlled by humans.

AI Challenges Fingerprint Analysis

A team of researchers has used AI to challenge the long-held assumption that fingerprints are unique. The researchers found that prints from different fingers of the same person can sometimes appear more alike than expected. The study used a deep contrastive network to analyze pairs of fingerprints and found that the AI system could identify matches with an accuracy of 77%. The researchers believe that their findings could lead to a reevaluation of forensic methods and potentially help solve cold cases. The study's lead author, Hod Lipson, says that the research demonstrates the potential of AI to provide new insights and challenge established beliefs.

Key Takeaways

New Jersey has made creating and sharing deepfakes a crime punishable by up to five years in prison.
* Chinese universities have surpassed their US rivals in AI research output, with Peking University leading the way.
* Experts predict a move away from unsupervised learning and the development of more human-like interactions with AI in the near future.
* Vana, a decentralized platform, allows users to upload their data and govern how it is used to train AI models.
* Runway, a startup developing generative AI models, has raised $308 million in a Series D funding round.
* Elon Musk has warned that humans may be nothing more than a 'biological bootloader' for the development of advanced AI.
* A team of researchers has used AI to challenge the long-held assumption that fingerprints are unique.
* The use of AI in healthcare is becoming more prevalent, with companies like ApolloMD partnering with Adonis to bring agentic AI to clinicians.
* AI has the potential to provide new insights and challenge established beliefs, as demonstrated by a study that found prints from different fingers of the same person can sometimes appear more alike than expected.
* The rapid growth of AI has sparked a debate about the need for regulatory oversight to prevent AI from becoming uncontrollable.