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AI MAPS ODORS

Plus OpenAI Makes ChatGPT Less Chatty

AI Maps Odor Topography

Researchers have developed a comprehensive ‘odor map’ to study the complexities of scents using artificial intelligence. This new paradigm in olfactory science allows the identification of how close or distant various smells are from each other, like roses to camphor. This map not only categorizes scents but also calculates their relative positions, aiding in perfume creation and flavoring, raising intriguing questions about our sensory perception of smells. This advancement could change how we understand and utilize smells in various industries.

TikTok’s New AI Avatars for Advertising

TikTok is developing AI avatars that could transform advertising on the platform. These virtual influencers will be able to deliver scripted promotions, offering a new tool for advertisers and sellers on TikTok Shop. The initiative is still in the testing phases, with early trials showing that AI-generated content may not yet match the effectiveness of human influencers in driving e-commerce sales. This development raises questions about the impact on human creators’ earnings and how TikTok will manage the integration without alienating its user base.

OpenAI Updates ChatGPT to Be Less Verbose

OpenAI has released an update to its GPT-4 Turbo model, aiming to make ChatGPT responses more succinct and conversational. This version, only accessible to premium users, features enhancements in writing, math, logic, and coding. It utilizes data up to December 2023, unlike its predecessor which used data up to April 2023. This change aims to improve user interaction but raises concerns about distinguishing AI-generated text from human writing, potentially impacting non-native English speakers and professional writers.

ChatGPT made the correct diagnosis in 97% of patients

AI is increasingly proving its efficacy in medical diagnostics, surpassing human doctors in accuracy across various studies. For instance, it diagnosed ER patients correctly 97% of the time compared to doctors’ 87% and matched or exceeded cardiologist diagnoses from ECGs. Additionally, AI performed on par with expert physicians in medical exams and excelled in specialized areas like Parkinson’s assessment and ophthalmology. While AI introduces efficiencies and potential cost savings, it also raises questions about the future role of human doctors, highlighting a blend of opportunity and challenge.

Human Intervention Still Essential in AI Operations

Despite advancements in artificial intelligence, the reliance on human intervention remains significant. Recent instances, such as the George Carlin estate lawsuit and Amazon’s retraction of automated checkout systems, highlight that AI often requires human oversight to ensure accuracy and reliability. This ongoing need for human assistance in AI tasks reflects a gap between AI’s potential and its current capabilities. Such scenarios underscore the continuous challenge of developing fully autonomous AI systems without substantial human support.

Licensing as a Solution to AI’s Copyright Challenges

Amid rising concerns over copyright infringement in AI training, experts suggest a practical approach: licensing agreements. This method not only avoids legal battles but also benefits all parties involved by ensuring fair use and compensation. Companies like Apple and OpenAI are already securing licenses to preempt complex legal issues. Furthermore, licensing agreements could help maintain data quality, meet regulatory requirements, and respect creators’ rights, ultimately fostering ethical AI development.

AI Revolutionizes US Agriculture with Aerobotics

Aerobotics, a company from South Africa, is revolutionizing US agriculture by utilizing AI to analyze over 1 million images of fruit per month, enhancing crop yields and water efficiency. Operating in 18 countries, with the US as their largest market, Aerobotics provides critical data to farmers through drones and AI software, significantly improving productivity and addressing challenges like pest control and disease monitoring. This innovation not only boosts production but also aids in managing resources effectively, making a substantial impact on food security and agricultural sustainability.

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