Plus, How Would Socrates Deal With AI
A Swedish study has found that AI can improve the detection rate of breast cancer by 20%. The study in Nature Medicine published used a deep-learning algorithm to analyze mammograms. The algorithm could identify cancer cells with greater accuracy than human radiologists.
AI startups saw record spending in 2023, with venture capitalists investing over $100 billion in the sector. The surge in investment was driven by the growing potential of AI to disrupt a wide range of industries, including healthcare, finance, and manufacturing.
Large language models like ChatGPT and Claude 2 are prone to hallucinations, confabulations, and inaccuracies, posing challenges for businesses, organizations, and students utilizing generative AI for document composition and psychotherapy tasks. While developers like OpenAI and Anthropic are working to improve the truthfulness of these AI systems, linguistics experts argue that the technology’s inherent limitations may hinder its ability to provide reliable and accurate information, especially in high-stakes scenarios like medical advice.
The reliability of generative AI is crucial as its adoption could contribute trillions of dollars to the global economy. Various industries, including news organizations and culinary arts, have already explored the use of AI systems to generate content, but the hallucination problem remains a concern. Google, OpenAI, and other industry players are striving to address this issue, though experts suggest that more improvements is needed.
Techno-optimists, like Bill Gates, express optimism for AI models’ ability to discern fact from fiction over time. However, even OpenAI CEO Sam Altman acknowledges the models’ limitations, emphasizing the need for continued improvements. Despite the challenges, developers, organizations, and researchers remain committed to refining these language models for enhanced accuracy and performance.
A patient who had lost feeling and movement in his arm has regained some functionality thanks to an AI-enabled brain implant. The implant, developed by researchers at the University of California, Berkeley, uses electrical stimulation to activate the patient’s brain cells. The patient can now move his arm and hand and feel sensations in his arm.
YouTube has developed an AI that can summarize videos. The AI, called “YouTube Video Summaries,” can generate a text summary of a video in just a few seconds. The summary is based on the video’s audio and visual content and is designed to give viewers a quick overview of the video’s content.
A new “DALL-E 3” AI can generate realistic images and text. OpenAI developed the AI, and it is based on a type of AI called a “generative pre-trained transformer.” DALL-E 3 can be used to generate images from text descriptions, and it can also be used to generate text that matches a given style or genre.
The ancient Greek philosopher Socrates can teach us a lot about AI. Socrates was a master of questioning, believing that dialogue was the best way to learn. This approach is also valuable for understanding AI. AI systems are complex, and they can be challenging to understand. However, by asking questions and engaging in dialogue, we can better understand how AI works and how it can be used.
What would happen if AI handled delicate situations in your life? A new humor piece by The New Yorker explores this question. The piece imagines a world where AI handles everything from break-ups to awkward social interactions. While the piece is humorous, it also raises some interesting questions about the future of AI and its potential impact on our lives.