Lenovo engineers are focusing on AI safety from a hardware perspective, exploring safety issues related to building and deploying personal agents on laptops and PCs. This shift in focus highlights the importance of considering safety at the hardware level, particularly with the increasing use of AI
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An AI customer support startup has reached a $2 billion valuation, driven by its focus on non-English speaking markets. The company's success highlights the growing demand for AI-powered customer support solutions and is likely to drive further investment and innovation in the space.
1 min read min readAbsolics, a South Korean company, is set to start commercial production of glass panels for next-generation AI chips, aiming to increase power and energy efficiency. This technology, also being explored by Intel, could significantly reduce energy demands in data centers.
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Large Language Models (LLMs) are being explored for their potential applications in financial markets, including data analysis, risk assessment, and portfolio management. The use of LLMs in financial markets could lead to increased efficiency and accuracy, allowing for better decision-making and pot
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The assumption that AGI must be multimodal is being challenged, with recent models defying basic intuitions about human intelligence. The success of these models is largely due to their ability to scale, rather than being thoughtful solutions to the problem of intelligence.
1 min read min readAdobe Research has made a breakthrough in video world models by using state-space models to unlock long-term memory, addressing a significant bottleneck in current models. This advancement has the potential to enable agents to plan and reason in dynamic environments, paving the way for more advanced
1 min read min readMIT researchers have introduced SEAL, a framework that enables large language models to update their own weights, bringing us closer to self-improving AI. This development has significant implications for the future of AI research and its applications.
1 min read min readThe economics of multi-agent AI is a key factor in the financial viability of business automation workflows, with organisations facing constraints such as thinking tax and context explosion. Careful consideration of these economics is crucial for efficient, effective, and profitable multi-agent AI s
1 min read min readE.SUN Bank and IBM are developing an AI governance framework for banking to address the challenges of managing AI systems in a way that meets legal and risk rules. The framework will provide clearer guidelines on how AI can be used within a bank and help to mitigate the risks associated with AI depl
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