Lifeboat Foundation

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A new study reveals that artificial intelligence models can actually have varying political opinions. Researchers from Washington, Carnegie Mellon, and Xi’an Jiaotong universities worked with 14 large language models (LLMs) and discovered that they all had different political opinions and biases.

According to Interesting Engineering, the researchers presented the language models with 62 politically sensitive statements and asked them to agree or disagree. The answers were then used to create a political compass that measures the degree of social and economic liberalism or conservatism.

Bank of Ireland has apologised for an IT glitch that meant some customers were able to withdraw money they did not have in their accounts at cashpoints.

The bank said it had resolved the “technical issue”, which had also allowed transfers beyond customer limits and had made its online banking and mobile app services unavailable.

Another concern was the dissipation of electrical power on the Enchilada Trap, which could generate significant heat, leading to increased outgassing from surfaces, a higher risk of electrical breakdown and elevated levels of electrical field noise. To address this issue, production specialists designed new microscopic features to reduce the capacitance of certain electrodes.

“Our team is always looking ahead,” said Sandia’s Zach Meinelt, the lead integrator on the project. “We collaborate with scientists and engineers to learn about the kind of technology, features and performance improvements they will need in the coming years. We then design and fabricate traps to meet those requirements and constantly seek ways to further improve.”

Sandia National Laboratories is a multimission laboratory operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration. Sandia Labs has major research and development responsibilities in nuclear deterrence, global security, defense, energy technologies and economic competitiveness, with main facilities in Albuquerque, New Mexico, and Livermore, California.

A subsidy-fueled boom helped build China into an electric-car giant, but with an economic slowdown and hundreds of ride-hailing companies going bust, the country is facing a excess of unwanted batter-powered vehicles. Linda Lew reports on Bloomberg Television.
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Is a non-profit organization that presents a new socio-economic model utilizing science and technology toward social betterment to achieve a sustainable civilization of abundance for all, without exception.

Smaller language models can be based on a billion parameters or less—still pretty large, but much smaller than foundational LLMs like ChatGPT and Bard. They are pre-trained to understand vocabulary and human speech, so the incremental cost to customize them using corporate and industry-specific data is vastly lower. There are several options for these pre-trained LLMs that can be customized internally, including AI21 and Reka, as well as open source LLMs like Alpaca and Vicuna.

Smaller language models aren’t just more cost-efficient, they’re often far more accurate, because instead of training them on all publicly available data—the good and the bad—they are trained and optimized on carefully vetted data that addresses the exact use cases a business cares about.

That doesn’t mean they’re limited to internal corporate data. Smaller language models can incorporate third-party data about the economy, commodities pricing, the weather, or whatever data sets are needed, and combine them with their proprietary data sets. These data sources are widely available from data service providers who ensure the information is current, accurate, and clean.

Google today is rolling out a few new updates to its nearly three-month-old Search Generative Experience (SGE), the company’s AI-powered conversational mode in Search, with a goal of helping users better learn and make sense of the information they discover on the web. The features include tools to see definitions of unfamiliar terms, those that help to improve your understanding and coding information across languages, and an interesting feature that lets you tap into the AI power of SGE while you’re browsing.

The company explains that these improvements aim to help people better understand complicated concepts or complex topics, boost their coding skills and more.

One of the new features will let you hover over certain words to preview their definitions and see related images or diagrams related to the topic, which you can then tap on to learn more. This feature will become available across Google’s AI-generated responses to topics or questions related to certain subjects, like STEM, economics, history and others, where you may encounter terms you don’t understand or concepts you want to dive deeper into for a better understanding.

We need a new philosophical framework for problem solving and global conflict resolutions or we will be finished as a species.

Jeffrey Sachs Interview — Resentment and Nuclear Threats.

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AI singularity refers to the future point where artificial intelligence becomes so advanced that it surpasses human intelligence and undergoes rapid, unpredictable self-improvement, leading to an exponential increase in capabilities. At this stage, AI could potentially reshape society, science, and civilization in profound and transformative ways, and its behavior might become difficult for humans to comprehend or control.

The AI alignment problem refers to the challenge of ensuring that artificial intelligence systems are designed and programmed to act in accordance with human values, goals, and intentions. It involves developing AI systems that align with human interests, do not produce harmful outcomes, and operate transparently and predictably, so they can be trusted and reliably controlled. Addressing the AI alignment problem is crucial to avoid potential risks and negative consequences associated with AI development and deployment.

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