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Is Argentina the First A.I. Election?
Is Argentina the First A.I. Election?
The two men jostling to be the country’s next president are using artificial intelligence to create images and videos to promote themselves and attack each other.
·nytimes.com·
Is Argentina the First A.I. Election?
Broken dreams, bad predictions and big tech: Five things to know about AI
Broken dreams, bad predictions and big tech: Five things to know about AI
For the last few months, there's one question that I've been asked countless times: What do you think of AI? Here's what I've learned over months interviewing the top AI experts, writes James Purtill.
·abc.net.au·
Broken dreams, bad predictions and big tech: Five things to know about AI
Here’s How Violent Extremists Are Exploiting Generative AI Tools
Here’s How Violent Extremists Are Exploiting Generative AI Tools
Experts are finding thousands of examples of AI-created content every week that could allow terrorist groups and other violent extremists to bypass automated detection systems.
·wired.com·
Here’s How Violent Extremists Are Exploiting Generative AI Tools
OpenAI DevDay, Opening Keynote
OpenAI DevDay, Opening Keynote
Join us for the opening keynote from OpenAI DevDay — OpenAI’s first developer conference.We’re gathering developers from around the world for an in-person da...
·youtube.com·
OpenAI DevDay, Opening Keynote
The Future of AI Is GOMA
The Future of AI Is GOMA
Four companies are taking over everything.
·theatlantic.com·
The Future of AI Is GOMA
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows
The rise of large language models (LLMs) has presented both opportunities and challenges. Leveraging these powerful models for complex applications requires intricate workflows that demand significant effort and expertise. Enter AutoGen, a groundbreaking framework designed to simplify and automate LLM workflows, enabling developers to harness the full potential of models like GPT-4 while addressing their limitations. AutoGen is an open-source project actively developed by a collaborative community. Contributors from diverse backgrounds, including academia and industry, have played pivotal roles in its evolution. With contributions from institutions like Pennsylvania State University and the University of Washington and involvement from product teams
·marktechpost.com·
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows
So Much for ‘Learn to Code’
So Much for ‘Learn to Code’
In the age of AI, computer science is no longer the safe major.
·theatlantic.com·
So Much for ‘Learn to Code’
Generative AI in Schools: A Closer Look and Future Predictions -- THE Journal
Generative AI in Schools: A Closer Look and Future Predictions -- THE Journal
Since ChatGPT's introduction last autumn, educators have been thinking through the potential impact of generative AI on education. While its full transformative potential remains uncertain, AI shows promise for teachers grappling with resource constraints and demanding workloads. Here’s a closer look at the concurrent AI landscape in schools — and a prediction of what the future holds.
·thejournal.com·
Generative AI in Schools: A Closer Look and Future Predictions -- THE Journal
AI-powered drone beats human champion pilots
AI-powered drone beats human champion pilots
Swift AI used technique called deep reinforcement learning to win 15 out of 25 races against world champions
·theguardian.com·
AI-powered drone beats human champion pilots
White House science adviser calls for more safeguards against artificial intelligence risks
White House science adviser calls for more safeguards against artificial intelligence risks
When President Joe Biden has questions about artificial intelligence, one expert he turns to is his science adviser Arati Prabhakar, director of the White House Office of Science and Technology Policy.
Q: Senate Majority Leader Chuck Schumer (who’s pushing for AI regulations) says making AI models explainable is a priority. How realistic is that?A: It’s a technical feature of these deep-learning, machine-learning systems, that they are opaque. They are black box in nature. But most of the risks we deal with as human beings come from things that are not explainable. As an example, I take a medicine every single day. While I can’t actually predict exactly how it’s going to interact with the cells in my body, we have found ways to make pharmaceuticals safe enough. Think about drugs before we had clinical trials. You could hawk some powder or syrup and it might make you better or it might kill you. But when we have clinical trials and a process in place, we started having the technical means to know enough to start harnessing the value of pharmaceuticals. This is the journey we have to be on now for artificial intelligence. We’re not going to have perfect measures, but I think we can get to the point where we know enough about the safety and effectiveness of these systems to really use them and to get the value that they can offer.
·apnews.com·
White House science adviser calls for more safeguards against artificial intelligence risks