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- Rogue Artists Poison AI Training Data; AI Works to Decode Moods
Rogue Artists Poison AI Training Data; AI Works to Decode Moods
PLUS: OpenAI Predicts AI Job Capability in 10 Years
The Hidden Layer
October 24, 2023
Greetings, curious minds!
Join us for a captivating expedition through the latest in AI in edition #21 of The Hidden Layer.
Today's AI Headlines:
Artists Use Data Poisoning to Counter AI
AI for Mood Assessment
AI's Impact on Filmmaking: UNESCO Highlights
OpenAI Predicts AI Job Capability in 10 Years
New data poisoning tool lets artists fight back against generative AI
A new tool called Nightshade lets artists subtly alter their artwork before posting it online. If scraped into an AI training set, these altered images could break the resulting AI model by causing strange outputs. Nightshade aims to deter AI companies from using artists' work without permission.
Nightshade exploits the massive datasets used to train AI models. By poisoning images, it makes models learn incorrect associations that spread, like thinking dogs are cats. Tests showed it can manipulate Stable Diffusion with only 300 altered images. The creators hope Nightshade will force AI companies to respect artists' rights more.
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AI Tool of the Day: Opus Clips
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Measuring Mood Through Artificial Intelligence
Mental health care lags behind other medicine in measuring symptoms objectively to inform treatment. AI and brain-computer interfaces could enable more personalized, accurate mental health care.
AI can decode mood symptoms from brain signals like EEG to track them over time. It can also model how treatments like deep brain stimulation affect symptoms.
These AI capabilities can be combined in closed-loop systems that adjust treatment doses over time to precisely tailor it to the patient. Such personalized therapies will take an interdisciplinary effort and are still in early research stages.
FROM OUR PARTNERS
AI Spotlight
AI's Impact on Filmmaking: UNESCO Highlights (Read more)
FDA Approves Korean AI MRI Assistant (Read more)
OpenAI Predicts AI Job Capability in 10 Years (Read more)
Instagram Tests Photo-to-Sticker Feature (Read more)
AI Forecasts Its Own Research Future (Read more)
Galaxy S24: The Next Step in Smartphone AI (Read more)
Prompt of the Day:
Act as a consultant from one of the top consulting firms, such as, Bain & Company, Accenture, Boston Consulting Group, McKinsey.
Please, provide me a [NX] word description of the [Industry Name] Industry in [Add Specific Location] and produce me a [Strategy Framework] analysis.
Decoding AI: Your Questions Answered
What is Reinforcement Learning?
Reinforcement Learning is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent takes actions and receives rewards or penalties in return, which it uses to improve its future decision-making. It's like teaching a dog new tricks: the dog is the agent, the environment is the place where it can perform tricks, and the treats are the rewards.
As Edition #21 of The Hidden Layer concludes, we thank you for your continued engagement.
Until then, stay ahead and inspired!
Best,
The Hidden Layer Team
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