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.
Elon Musk proposes shift to self-learning synthetic data due to data scarcity in AI training. Concerns raised over potential 'model collapse' risks.
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.
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.
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.
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.
Teenage boy in Sydney investigated for using AI to create and circulate deepfake images of female students. Police involved.
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.
GenAI enables easy integration of real-world objects into AI-generated 4D scenes for video creation. Progress in generative AI is rapidly advancing, particularly in text-driven tasks, while video creation is still in its early stages but improving monthly.
Enterprise data is exploding, but most AI applications only use a fraction. AI query engines connect AI agents to all data types, unlocking intelligence in unstructured data. Companies like DataStax and NetApp are leading the way in building AI data platforms.
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.
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.
Green Beret used AI platform to search for explosives info in Afghanistan. Tesla Cybertruck attacker utilized generative AI for attack planning.
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.
Apple to update AI feature on iPhones after inaccurate alerts, including false claims about murder suspect's suicide and Rafael Nadal coming out as gay. Update aims to clarify when notifications are summaries generated by Apple Intelligence system.