![]() ![]() "As a media owner, it's a major issue, because I do go to the models, and I'll find material from Time magazine in there and go, 'Wait a minute, that's my content,'" Benioff said. "It's not being generated by the computer."īenioff, who bought Time magazine in 2018, has a particular distaste for copyright infringement. "It's inside our core system," Benioff said. For example, CodeGen, an LLM released by Salesforce in 2022, was trained from scratch using Apex, an internal programming language. Salesforce has "an open philosophy" regarding the development of large language models, or LLMs, Benioff said, building some on top of preexisting models and building others from scratch. "We're not scraping the internet with our models, if that's your question," Benioff told me Wednesday afternoon. Onstage at the Yerba Buena Center for the Arts, he prodded celebrities, politicians, and business leaders - including OpenAI CEO Sam Altman - to share their concerns about the existential risks of feeding intelligent machines vast amounts of personal data before reminding the audience that Salesforce was setting the standard for handling data ethically and responsibly.Īfter two days of listening to this, I started to wonder how Benioff could be so sure his large language models aren't behaving as badly as everyone else's and training on copyright-protected data. Have an account? Log in.īenioff spent much of the conference issuing ominous warnings about the perils of generative AI while simultaneously touting his own company's new technology as ethical and secure. This story is available exclusively to InsiderĪnd start reading now. We provide Notion workspaces and other support to early-stage startups led by Black founders.Account icon An icon in the shape of a person's head and shoulders. We support Black and Latinx entrepreneurs from South LA in partnership with the Annenberg Foundation, the Weingart Foundation, and others. We support safe, accessible, and trusted elections, and inspire our employees and customers to support civic engagement. We donate paid Notion plans to entrepreneurs accelerating social missions that support refugees, undocumented students, and veterans, among others. We support tech events focused on networking and development opportunities for communities of color. We reach more veterans, women, and people of color looking to pivot into careers in the tech industry. We help students from under-resourced backgrounds find their voices as writers and artists. Here are just a few of the organizations we support: Volunteering at 826 Valencia We run several programs and partnerships dedicated to inclusion, diversity, equity, and antiracism. That's why we give 501(c)3 organizations working to solve the world's toughest problems 50% off our team plan. It's vital that we also support our beliefs with the Notion product itself. So far, these include: Accessibility at Notion, All Asians and Pacific Islanders at Notion, Black Thought at Notion, Gente (LatinX) at Notion, Immigrants at Notion, Queers & Allies at Notion, Parents at Notion, Women at Notion. Notion is home to a number of employee-led groups that foster a diverse and inclusive workplace. Today, we’re growing faster than ever across offices in San Francisco, New York, Dublin, Hyderabad and Tokyo □□ □□ □□ □□ To make this possible, we’ve brought together a diverse team of individuals passionate about computing, history, art, alternative programming languages, music, skateboarding, and craft. But at its core, Notion is a toolbox of software building blocks that let you manage your life and work however you find most useful. We sometimes compare it to a set of Legos (if Legos were designed by The New York Times). It can be as complex as a relational database that stores huge amounts of data. It can be as simple as a blank piece of paper, making writing feel light and delightful. This is the type of tool we want to build together at Notion - one that gives you the software you can mold and shape like clay to solve your problems your way. Early computing pioneers envisioned a future where machines on our desks could amplify our imagination, extend our intellect, and help us model information in ways never before seen.
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