Increasingly, employers are indicating that there’s a need for students to be trained in generative artificial intelligence tools as more businesses integrate the tech’s capabilities into the workplace. Some instructors have implemented AI into their classes to demonstrate prompt engineering and showcase AI’s research and writing abilities. Entrepreneurship professor Mark Lacker at Miami University in Ohio encourages students to use generative AI tools to complete projects, inspiring creative and critical thinking skills that can prepare them for careers.
Monday, October 28, 2024
Meta’s unbelievable AI breakthrough - Martin Crowley, AI Tool Report
Meta’s Fundamental AI Research (FAIR) team has released an AI tool called the ‘Self-Taught Evaluator’ that can check the accuracy of other AI models, without the need for human intervention, possibly paving the way for less human involvement in the AI development process. The tool generates different responses from AI models and uses another AI system to assess the accuracy and improve the responses to complex questions in areas like Math, science, and coding. But the incredible bit is that Meta trained the model on AI-generated data only, removing the need for human intervention, and reported that it performed better than models that rely on human-labelled data (like GPT-4 does, for example).
Sunday, October 27, 2024
Keeping artificial intelligence real - Navrina Singh, McKinsey Digital
Generative AI represents a sociotechnical revolution with massive implications for every aspect of our lives. Keeping humans in the loop is critical for its responsible development. Companies are entering a new phase with generative AI (gen AI), as they realistically ponder how to deploy the potent technology responsibly and profitably. The answer, says Navrina Singh, founder and CEO of Credo AI and today’s guest on this episode of the At the Edge podcast, is proper governance in the form of continuous human oversight. Singh speaks with McKinsey senior partner Lareina Yee about the importance of monitoring, measuring, and managing AI risk for the good of humanity, as well as for gaining a competitive advantage.
Harnessing the potential of artificial intelligence in New Jersey: The time is now - written by ChatGPT, edited by Andrew Zwicker, NJ.com
By investing in AI education for all students, from K-12 through higher education, the state will cultivate a workforce prepared to engage with and build on these new technologies. By fostering AI research and development in our four-year universities, New Jersey will create a talent pipeline with the skills and creativity to invent the next generation of problem-solving AI tools and fill high-demand roles across the industry spectrum. Similarly, we must invest in our community colleges, ensuring equitable access to the AI education and training that will be needed to fill jobs that don’t require an advanced degree. Community colleges will also be vital to quickly and nimbly providing opportunities for all workers to obtain new AI skills as they emerge, and to retrain workers whose jobs do disappear.
Saturday, October 26, 2024
NotebookLM - Google Blog
NotebookLM is a tool for understanding, built with Gemini 1.5. When you upload your sources, it instantly becomes an expert, grounding its responses in your material and giving you powerful ways to transform information. And since it’s your notebook, your personal data is never used to train NotebookLM. Millions of people are already using NotebookLM to understand and engage with complex information, and today we’re removing the product’s “Experimental” label and releasing another round of features.
Embodied AI - Ray Schroeder, Inside Higher Ed
We may be just months away from an influx of embodied AI robots (EAI). Those are, in many cases, humanoid bots powered by autonomous AI. Shaoshan Liu and Shuang Wu write in the Communications of the ACM, “Embodied Artificial Intelligence (EAI) integrates artificial intelligence into physical entities like robots, endowing them with the ability to perceive, learn from, and dynamically interact with their environment.” Liu and Wu go on to describe that the “foundational studies highlight three principles for developing EAI systems. First, EAI systems must not rely on predefined, complex logic to manage specific scenarios. Second, it is essential that EAI systems incorporate evolutionary learning mechanisms, enabling them to adapt continuously to their operational environments. Lastly, the environment plays a pivotal role in shaping not just physical behaviors, but also cognitive structures.”
Friday, October 25, 2024
Not using AI is “disservice” to students - Polly Nash, the PIE
Failing to use AI in the classroom is a “disservice” to students, said EdTech experts at a conference about the future of online learning. Rather than be deterred by fears surrounding data privacy and cheating, universities must actively embrace generative AI to prepare students for the future of work and to enhance personalised learning and the accessibility of education, conference delegates heard. “Students will go on to get jobs where they use AI… if you’re not preparing them because of fears of AI then you’re doing them a disservice,” Ryan Lufkin, vice president of global academic strategy at Instructure told delegates of CanvasCon 2024 in Barcelona. “We need to move beyond the focus on cheating and teach students to use AI in pursuit of learning not instead of learning,” added Lufkin at last week’s event.
OpenAI unveils experimental ‘Swarm’ framework, igniting debate on AI-driven automation - Michael Nuñez, Venture Beat
OpenAI has unveiled “Swarm,” an experimental framework designed to orchestrate networks of AI agents. This unexpected release has ignited intense discussions among industry leaders and AI ethicists about the future of enterprise automation, despite the company’s emphasis that Swarm is not an official product. Swarm provides developers with a blueprint for creating interconnected AI networks capable of communicating, collaborating, and tackling complex tasks autonomously. While the concept of multi-agent systems isn’t new, Swarm represents a significant step in making these systems more accessible to a broader range of developers.
Thursday, October 24, 2024
Adobe aims to teach AI, online content skills to 30 million - Steven Melendez, Fast Company
Courses will include material on using AI to create content from video thumbnails to visual effects around text—and doing so ethically, including paying attention to issues around intellectual property. They’ll also cover skills around creating content for social media, digital marketing, and image creation and editing. The course material, which will include video instruction and follow-up work, will generally emphasize Adobe Express, a creativity app that offers some features for free, and will be accessible through a phone, tablet, or computer with a web browser.
Scientists design new 'AGI benchmark' that indicates whether any future AI model could cause 'catastrophic harm' - Keumars Afifi-Sabet, Live Science
OpenAI scientists have designed MLE-bench — a compilation of 75 extremely difficult tests that can assess whether a future advanced AI agent is capable of modifying its own code and improving itself. Scientists have designed a new set of tests that measure whether artificial intelligence (AI) agents can modify their own code and improve its capabilities without human instruction. The benchmark, dubbed "MLE-bench," is a compilation of 75 Kaggle tests, each one a challenge that tests machine learning engineering. This work involves training AI models, preparing datasets, and running scientific experiments, and the Kaggle tests measure how well the machine learning algorithms perform at specific tasks.
Wednesday, October 23, 2024
The AI Revolution Is Coming for Your Non-Union Job - Molly Kinder, Mark Muro, & Xavier de Souza Briggs, Time
During this election cycle, we’ve heard a lot from the presidential candidates about the struggles of America’s workers and their families. Kamala Harris and Donald Trump each want to claim the mantle as the country’s pro-worker candidate. Accordingly, union leaders took the stage not only at the Democratic National Convention, as usual, but at the Republican convention too. At the VP debate, J.D. Vance and Tim Walz offered competing views on how best to support workers. Surprisingly, one economic issue the candidates have yet to address is one in which millions of voters have a great deal at stake: the looming impact of new generative artificial intelligence (GenAI) technologies on work and livelihoods. The candidates’ silence belies a stark reality: the next president will take office in a world already changed by GenAI—and heading for much greater disruption.
OpenAI’s Swarm AI agent framework: Routines and handoffs - Bryson Masse, Venture Beat
The newly launched Swarm framework from developers at OpenAI is an experimental tool designed to orchestrate networks of AI agents, and it’s been making waves in the tech community. Unlike other multi-agent frameworks, Swarm aims to provide a blend of simplicity, flexibility and control that sets it apart. Although still in its early stages, Swarm offers a fresh take on agent collaboration, with core concepts like “routines” and “handoffs” to guide agents through collaborative tasks.
Tuesday, October 22, 2024
Reimagining the future of AI in the education ecosystem - Fareed Kaviani, Monash University
Our research project explores what different insights emerge when young people are asked to imagine what the AI school of the future might look like. These “School of the Future” scenarios help spark discussions and better prepare for technological, economic, societal and environmental changes in education. They’ve become increasingly popular among policymakers anticipating the impacts of emerging technologies. In more recent years, the scenarios have become particularly important for all stakeholders navigating the revolutionising potential of artificial intelligence on the education sector.
Google's Sycamore quantum computer chip can now outperform the fastest supercomputers, new study suggests - Keumars Afifi-Sabet, Live Science
Quantum computers can outpace our fastest classical computers in very specific areas, a groundbreaking experiment suggests. Google Quantum AI researchers have discovered a "stable computationally complex phase" that can be achieved with existing quantum processing units (QPUs), also known as quantum processors. This means that when quantum computers enter this specific "weak noise phase," they can perform computationally complex calculations that outpace the performance of the fastest supercomputers. The research — which was led by Alexis Morvan, a quantum computing researcher at Google — was published Oct. 9 in the journal Nature.
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