MIT Associate Professor Catherine D’Ignazio applies data to social issues, empowering citizens with data-driven arguments. Her work on feminicide led to innovative AI tools and a book, "Counting Feminicide," raising awareness globally.
Concerns grow over environmental impacts of Large Language Models (LLMs). Example: Llama 3.1 405B by Meta requires massive resources, emits tons of CO2. OpenAI faces financial strain with inference costs nearly matching total revenue.
ChatGPT surpasses scientists, raising concerns about AI's future. Drew Breunig categorizes AI into gods, interns, and cogs, highlighting potential existential threats.
DER SPIEGEL enhances news recommendations using Large Language Models (LLMs) for accurate predictions. Results show LLMs achieve 56% Precision@5, outperforming random recommendations.
Storing tree data structures as lists simplifies node location. Converting full-list to condensed index trees requires explicit child indexes.
Major news organizations in Canada are suing OpenAI for allegedly using their articles to train ChatGPT without permission. The lawsuit seeks punitive damages and a share of profits, demanding an injunction against future use of the articles.
Start with the problem, not the solution. Avoid forcing chatbot solutions onto problems, focus on business processes first.
May loses her job to humanoid robots, undergoes experimental facial injection to evade them. Family copes with polluted environment, device addiction in a dystopian world.
Multimodal embeddings merge text and image data into a single model, enabling cross-modal applications like image captioning and content moderation. CLIP aligns text and image representations for 0-shot image classification, showcasing the power of shared embedding spaces.
Open Food Facts uses Machine Learning to enhance its food database by reducing unrecognized ingredients, improving data accuracy. The project showcases the success of creating a custom model, outperforming existing solutions by 11%.
Whitehall departments lack transparency in AI use. Concerns arise as AI affects millions of lives, with examples in DWP and Home Office.
Agentic AI combines specialized agents for enhanced capabilities. Major players like Microsoft and Google are investing heavily in agentic AI research.
Dogs prefer to poop facing North-South. Learn how to measure this at home using a compass app and Bayesian statistics. Researcher replicates study with own dog, capturing over 150 "alignment sessions."
LLMs.txt is a new web standard optimized for reasoning engines, gaining rapid adoption thanks to Mintlify's support. Co-founder Jeremy Howard proposed LLMs.txt to help AI systems understand website content more efficiently.
Senate recommends standalone AI legislation & protections for creative workers. Amazon, Google, Meta criticized for vagueness on Australian data use in AI training.