Jubilee has become one of the go-to open forums for debate in the digital age. Videos like: "Flat Earthers vs Scientists," "1 Conservative vs. 20 Feminists," and, "What Makes a Real Man?" are just some of the few topics they cover.
It's what caused The Atlantic staff writer Spencer Kornhaber to write his article, "Jubilee is Like Gen-Z's 'Jerry Springer Show'".
But their most recent video, "1 Progressive vs 20 Far-Right Conservatives," has gone viral for what some feel is a dangerous platforming of fascist ideals. Brittany is joined by The Atlantic staff writer Spencer Kornhaber to get into the state of public discourse, and how traditional media may led us to this moment.
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How did life start on Earth? The answer is a big scientific mystery scientists are actively investigating. After talking with many scientists, host Regina G. Barber found that an abundance of water on Earth is most likely key, in some way, to the origin of life — specifically, in either deep sea hydrothermal vents or in tide pools. It's for this reason some scientists are also exploring the potential for life in so-called "water worlds" elsewhere in the solar system, like some of the moons of Jupiter and Saturn. This episode, Regina digs into two water-related hypotheses for the origin on life on Earth — and what that might mean for possible alien life.
Have another scientific mystery you want us to cover on a future episode? Email us at shortwave@npr.org.
Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.
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An old proverb famously states, "If you want to go fast, go alone. If you want to go far, go together."
This is especially true when it comes to artificial intelligence, where breakneck advances happen seemingly every day. And while individual companies are rapidly fielding their own AI-powered chatbots and analysis tools, real long-term improvement and innovation in this new scientific frontier often requires broad collaboration in developing open and trusted AI systems that produce accurate, reliable, and safe outputs.
Early conventional wisdom held that only so-called 'closed' AI systems controlled by one company could be safe and trusted. Some argued that open models would inevitably undermine safety or lead to misuse. But experience is quickly showing that open source models and the collaboration they bring are a powerful tool for promoting security and trust.
The power of collaborationCollaboration is a powerful force for AI advancement because it fosters diverse perspectives and capabilities. When it comes to AI, collaboration can, in many cases, be optimized by leveraging open source to reduce bias, increase transparency, gain greater control over our data, and ultimately, accelerate time to innovation.
According to McKinsey, organizations that view AI as essential to their competitive advantage are far more likely to use open source AI models and tools than organizations that do not. Open source AI models, tools, and frameworks enable developers and researchers to build upon existing work, rather than starting from scratch, to achieve higher-quality outputs more quickly.
The open source software approach thrives on community contributions, bringing together individuals, companies, and organizations from around the globe to collaborate on shared goals. This is where organizations like the AI Alliance—which was spearheaded by IBM and others, and is comprised of technology creators, developers, and adopters collaborating to advance safe and responsible AI—play a crucial role.
By pooling resources and knowledge, the AI Alliance provides a platform for sharing and developing AI innovations. This meritocracy yields immediate value, both for the broader technology ecosystem and the world at large.
Why the AI Alliance matters todayThere are many practical and ethical reasons for such broad-based AI partnerships. AI research and development require substantial resources, including data, computing power, and expertise. The availability of open source models keeps costs down, broadening choices and helping to prevent the concentration of the AI industry in the hands of a few major players.
The AI Alliance also offers a forum to hold honest conversations among like-minded organizations about AI-related legislation and its impacts on greater innovation and adoption.
In a short time, the AI Alliance has blossomed into a vibrant ecosystem, bringing together a critical mass of data, tools, and talent. Today, more than 140 organizational members from 23 countries collaborate through the alliance to address some of the most pressing challenges in AI.
Open source is particularly critical to members of the alliance, including Databricks, which has long championed the democratization of AI. We’ve open sourced many critical big data processing and analytics projects, like the Delta Lake, MLflow, and Unity Catalog tools that underpin many large data and AI deployments today.
When it comes to today’s AI ecosystem, we need to ensure that everyone, including academics, researchers, non-profits, and beyond, can access and understand the best AI tools and models. The more we all understand these models and how to utilize them, the more we can share ideas on how to safely shape the future of AI and subsequently use it to solve today’s toughest challenges.
But we can’t do it alone.
Collaborate, code, and create the future of AIWe established a policy working group within the Alliance to focus not only on advocacy but also on developing responses to government requests that could impact open-source AI development. For example, last year, we contributed to the landmark National Telecommunications and Information Administration study examining potential benefits and risks of open weight frontier AI models.
The final NTIA report strongly underscored the valuable role of open models in today’s AI ecosystem, while also highlighting the need for vigilant monitoring and ongoing evaluation of policies to manage emerging risks in the future.
Our intention is to ensure that AI regulation is thoughtfully crafted so that open source AI thrives. Organizations like the AI Alliance have laid a solid foundation for international cooperation, but it's just the beginning.
If you work at a business that prioritizes artificial intelligence, you too can be part of this important work. Start by developing educational programs, workshops, and training sessions – and joining AI-related projects and communities – to share knowledge and build tools that benefit others.
You can create and share your own open source projects, such as datasets, pre-trained models, or utilities, which build on a foundation of AI fairness, transparency, and accessibility to ensure the benefits of AI are widely distributed. Check out GitHub or Hugging Face to look for AI/ML projects that align with your skills and interests.
The advent of AI is a pivotal moment in our collective human history. Experience shows that collaboration will be key to our success in advancing AI innovation with safety and trust. We must move into this promising future with open arms and open software models and tools, adequately prepared for the challenges ahead. Let's go far—together.
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Most of those detained were arrested for carrying signs supporting a pro-Palestinian group recently banned as a terrorist organization in the UK.
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The decision comes as France, Canada and the UK have signaled similar steps in recent weeks.
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President Trump promised a weekend crackdown of Washington, D.C.'s homeless population and criminals. Trump activated federal agents to also be a show of force across the district.
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In western Colorado, firefighters are up against windy, hot weather as they try to protect homes and infrastructure from a pair of lightning-caused wildfires.
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