Research Published 7 October 2022 Authors Rohin Shah, Victoria Krakovna, Vikrant Varma, Zachary Kenton Exploring examples of goal misgeneralisation – where an AI system’s capabilities generalise but its goal doesn’t As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent …
How undesired goals can arise with correct rewards Read More »
to various sources, the average salary for Coding jobs is ~£47.5k in the UK, which is ~35% higher than the median salary of about £35k. So, coding is a very valuable skill that will earn you more money, not to mention it’s really fun. I have been coding professionally now for 4 years, working as …
How I Would Learn To Code (If I Could Start Over) Read More »
Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning models and other narrow AI applications have been used in cybersecurity for decades. As we move closer to artificial general intelligence (AGI), AI’s potential to automate defenses and fix vulnerabilities becomes even more powerful. But …
Evaluating potential cybersecurity threats of advanced AI Read More »
not the only person who feels that YouTube sponsor segments have become longer and more frequent recently. Sometimes, I watch videos that seem to be trying to sell me something every couple of seconds. , it sure is annoying to be bombarded by ads. In this blog post, I will explore these sponsor segments, using …
Are We Watching More Ads Than Content? Analyzing YouTube Sponsor Data Read More »
We’re exploring the frontiers of AGI, prioritizing readiness, proactive risk assessment, and collaboration with the wider AI community. Artificial general intelligence (AGI), AI that’s at least as capable as humans at most cognitive tasks, could be here within the coming years. Integrated with agentic capabilities, AGI could supercharge AI to understand, reason, plan, and execute …
models continue to increase in scope and accuracy, even tasks once dominated by traditional algorithms are gradually being replaced by Deep Learning models. Algorithmic pipelines — workflows that take an input, process it through a series of algorithms, and produce an output — increasingly rely on one or more AI-based components. These AI models often …
The Case for Centralized AI Model Inference Serving Read More »
New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet …
I talk to [large] organisations that have not yet properly started with Data Science (DS) and Machine Learning (ML), they often tell me that they have to run a data integration project first, because “…all the data is scattered across the organisation, hidden in silos and packed away at odd formats on obscure servers run …
Impact Published 13 October 2022 Developing a better malaria vaccine with the help of AI that could save hundreds of thousands of lives every year When biochemist Matthew Higgins established his research group in 2006, he had malaria firmly in his sights. The mosquito-borne disease is second only to tuberculosis in terms of its devastating …
In my previous article, I discussed how morphological feature extractors mimic the way biological experts visually assess images. time, I want to go a step further and explore a new question:Can different architectures complement each other to build an AI that “sees” like an expert? Introduction: Rethinking Model Architecture Design While building a high accuracy …
