Elon Musk proposes shift to self-learning synthetic data due to data scarcity in AI training. Concerns raised over potential 'model collapse' risks.
Prof John McDermid emphasizes the need for regulators to have the power to recall AI models and assess leading indicators of risk to address Geoffrey Hinton's concerns about AI dangers. Collaborative research on AI safety with regulatory involvement is crucial for designing AI for safety and evaluation, drawing on expertise from safety-related industries.
Meta's AI profiles lack self-awareness, sparking ethical concerns. The White House's AI Bill of Rights demands transparency in AI interactions.
MIT CSAIL researchers have created an AI system that mimics human vocal sounds with no training, inspired by cognitive science. This breakthrough could lead to more intuitive sound design interfaces, lifelike AI characters, and innovative language learning methods.
Teenage boy in Sydney investigated for using AI to create and circulate deepfake images of female students. Police involved.
AI-generated 'slop' is taking over the internet, with platforms like Facebook encouraging its spread. Genuine human content is becoming a rare commodity, as AI-generated posts dominate platforms like LinkedIn and news sites.
Bayesian A/B testing challenges traditional methods, incorporating prior beliefs for dynamic probability assessment. Author shares insights from academic and professional experience, highlighting benefits and drawbacks of Bayesian testing.
Strategic VC dimension (SVC) complexity increases with instance-wise cost functions, driving it to infinity. Linear classifiers with cost functions can diverge from canonical counterparts, impacting classification complexity.
Amazon Bedrock allows users to import custom models, like Mistral Flan and Meta Llama, trained in SageMaker for on-demand use. This simplifies the process, offering a cost-effective solution for building generative AI applications with top-performing models.
In 2025, AI is driving strategic initiatives in companies, impacting ownership, outsourcing, and remote work. The interplay between these dimensions is crucial for successful AI implementation, with various organizational archetypes emerging.
Large language models (LLMs) excel in machine translation, capturing context and cultural nuances better than neural models like Amazon Translate. LLMs offer potential cost savings and faster project turnaround, but also face challenges like inconsistent quality and the risk of hallucination.
Common regression techniques include linear regression, k-nearest neighbors, and kernel ridge. Kernel ridge regression is powerful for complex non-linear data, but may not scale well to large datasets. Refactored KRR implementation with Newton iteration showed promising results in a demo using synthetic data.
Green Beret used AI platform to search for explosives info in Afghanistan. Tesla Cybertruck attacker utilized generative AI for attack planning.
Deepfake audio poses a threat to democracy as voices can be manipulated to spread misinformation. Presenter Georgina Findlay discovered her voice being used in far-right propaganda, highlighting the dangers of fake audio.
Faculty AI, known for collaborating with the NHS and UK government, is also involved in developing AI for military drones. The consultancy has experience deploying AI models onto UAVs, raising concerns about its dual role in civil and defense sectors.