How the San Antonio Spurs use artificial intelligence
The San Antonio Spurs are embracing artificial intelligence to connect with fans across the globe and build team culture.
Why it matters: AI is rapidly changing the workforce, our world and even fandom.
State of play: The Spurs turn to ChatGPT to help with data analytics, community engagement and more, per a recent OpenAI post detailing the team's uses.
Some custom ways team employees use ChatGPT include:
Analyzing post-game comments on social media to provide summaries of their sentiment, allowing them to see what people love and where experiences can improve.
Alerting suspicious resale listings by comparing them to official Spurs inventory data.
Ingraining team values in day-to-day work by training ChatGPT on a 50-part docuseries on Spurs culture.
By the numbers: Spurs employees save more than 1,800 hours of work each month by using ChatGPT, per the post.
What they're saying:"We were looking to create real competitive advantages," RC Buford, CEO of Spurs Sports & Entertainment, said in a statement.
"Being early adopters of artificial intelligence is one powerful way to do that."
What's next: The Spurs are working with the University of Texas at San Antonio and the Air Force to study AI and coaching, per the post.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
34 minutes ago
- Yahoo
US lawmakers introduce bill to bar Chinese AI in US government agencies
By Stephen Nellis SAN FRANCISCO (Reuters) -A bipartisan group of U.S. lawmakers on Wednesday planned to introduce a bill in both houses of Congress that would bar U.S. executive agencies from using artificial intelligence models developed in China, including those from DeepSeek. The introduction of the bill, dubbed the "No Adversarial AI Act," comes after Reuters reported that a senior U.S. official has concluded that DeepSeek is aiding China's military and intelligence operations and has had access to "large volumes" of Nvidia's chips. DeepSeek shook the technology world in January with claims that it had developed an AI model that rivaled those from U.S. firms such as ChatGPT creator OpenAI at much lower cost. Since then, some U.S. companies and government agencies have banned the use of DeepSeek over data security concerns, and President Donald Trump's administration has mulled banning its use on U.S. government devices. The bill introduced Wednesday into the U.S. House of Representatives by Representative John Moolenaar, a Michigan Republican who chairs the Select Committee on the Chinese Communist Party, and Representative Raja Krishnamoorthi, an Illinois Democrat who is the ranking member on the committee, would create a permanent framework for barring the use of all Chinese AI models from U.S. executive agencies, as well as those from Russia, Iran and North Korea. The bill would require the Federal Acquisition Security Council to create a list of AI models developed in those countries and regularly update it. Federal agencies would not be able to buy or use those AI technologies without an exemption, such as for carrying out research, from the U.S. Congress or the Office of Management and Budget. The law also contains a provision that can be used to get technologies off the list with proof that they are not controlled or influenced by a foreign adversary of the U.S. "The U.S. must draw a hard line: hostile AI systems have no business operating inside our government," Moolenaar said in a statement. "This legislation creates a permanent firewall to keep adversary AI out of our most sensitive networks - where the cost of compromise is simply too high." Also co-sponsoring the bill in the House are Representative Ritchie Torres, a New York Democrat, and Representative Darin LaHood, an Illinois Republication. In the U.S. Senate, the bill will be led by Senators Rick Scott, a Florida Republican, and Gary Peters, a Michigan Democrat.
Yahoo
38 minutes ago
- Yahoo
Anthropic cut up millions of used books to train Claude — and downloaded over 7 million pirated ones too, a judge said
Anthropic bought, cut, and scanned millions of used books for its "research library." The company also downloaded over 7 million pirated books, the judge found. The judge wrote that training Claude on copyrighted books it had purchased was fair use, but piracy wasn't. To build AI chatbot Claude, Anthropic "destructively scanned" millions of copyrighted books, wrote a judge on Monday. Ruling in a closely-watched AI copyright case, Judge William Alsup of the Northern District of California analyzed how Anthropic sourced data for model training purposes, including from digital and physical books. Companies like Anthropic require vast amounts of input to develop their large language models, so they've tapped sources from social media posts to videos to books. Authors, artists, publishers, and other groups contend that the use of their work for training amounts to theft. Alsup detailed Anthropic's training process with books: The OpenAI rival spent "many millions of dollars" buying used print books, which the company or its vendors then stripped of their bindings, cut the pages, and scanned into digital files. Alsup wrote that millions of original books were then discarded, and the digital versions stored in an internal "research library." The judge also wrote that Anthropic, which is backed by Amazon and Alphabet, downloaded more than 7 million pirated books to train Claude. Alsup wrote that Anthropic's cofounder, Ben Mann, downloaded "at least 5 million copies of books from Library Genesis" in 2021 — fully aware that the material was pirated. A year later, the company "downloaded at least 2 million copies of books from the Pirate Library Mirror" also knowing they were pirated. Alsup wrote that Anthropic preferred to "steal" books to "avoid 'legal/practice/business slog,' as cofounder and CEO Dario Amodei put it." Last year, a trio of authors sued Anthropic in a class-action lawsuit, saying that the company used pirated versions of their books without permission or compensation to train its large language models. Alsup ruled that Anthropic's use of copyrighted books to train its AI models was "exceedingly transformative" and qualified as fair use, a legal doctrine that allows certain uses of copyrighted works without the copyright owner's permission. "Like any reader aspiring to be a writer, Anthropic's LLMs trained upon works not to race ahead and replicate or supplant them — but to turn a hard corner and create something different," he wrote. The company's decision to digitize millions of print books it had purchased fell under fair use, Alsup wrote. "All Anthropic did was replace the print copies it had purchased for its central library with more convenient space-saving and searchable digital copies for its central library — without adding new copies, creating new works, or redistributing existing copies," he wrote. An Anthropic spokesperson said that the company is pleased with Alsup's ruling on using books to train LLMs. The spokesperson said in a statement that this approach is "consistent with copyright's purpose in enabling creativity and fostering scientific progress." But Alsup drew a firm line when it came to piracy. "Anthropic had no entitlement to use pirated copies for its central library," Alsup wrote. "Creating a permanent, general-purpose library was not itself a fair use excusing Anthropic's piracy." Judge Alsup's ruling that training AI models on copyrighted books is fair use is one of the first of ips kind. His decision comes amid a wave of lawsuits from artists, filmmakers, authors, and news outlets against major AI players like OpenAI. While creators say training AI models on their copyrighted work without permission infringes on their rights, AI execs argue they haven't violated copyright laws because the training falls under fair use. Earlier this month, Disney sued AI image generator Midjourney, saying the tech company ripped off famous characters in properties ranging from "Star Wars" to "The Simpsons." Read the original article on Business Insider
Forbes
44 minutes ago
- Forbes
How To Use ChatGPT To Get Your First 5 Clients This Week
Sending generic pitches without articulating a clear value statement is exactly why clients are not ... More saying yes getty When you decide to start your career as a freelancer, one of the toughest roadblocks you'll come up against is finding and securing your first few clients. It can often be the most stressful part of getting started, especially if you don't have thousands of followers or prior testimonials. After all, no clients means your entire pivot to being a freelancer was a waste of time. So what can you do? Most people struggle to get clients because: They're freelancing in an over-saturated marketplace They haven't learned how to differentiate themselves from the competition They don't know how to sell themselves effectively, even with little experience They don't have a solid strategy but are winging it and hoping for the best They are inconsistent and drop out when they see no results They spend hours planning, thinking, and researching, but take no action so have nothing to show for it They send generic pitches and do not have a clear value statement Their online visibility and branding is poor Thankfully, ChatGPT can solve many of these issues pretty quickly. But you'll need to be consistent and persevere past the silence. You may hear crickets initially, but if you try the approaches this week, you'll start to see the ground moving and you'll lay a strong foundation for clients to work with you over the next few weeks and months. How To Use ChatGPT To Get Five Clients This Week If I was to list all the ways you can use ChatGPT to help you land clients, this article would turn into a book, which is not what you signed up for when you clicked to read this article. So today, we'll keep it simple, short, and sweet, with some quick ChatGPT prompts and actionable tips you can take this very week, to secure your first five clients and get the ball rolling. Use critical thinking questions and ask ChatGPT to analyze your gaps. Prompts like: 'What am I missing on this landing page?' 'How can I improve my Upwork bio?' 'List the strengths and weaknesses of my LinkedIn profile's headline objectively.' 'What do people in [name your target client] need right now as a quick solution? [turn on the deep research function for best results]' 2. Use ChatGPT To Optimize Your LinkedIn Profile To effectively grow your career and reach as a freelancer you'll need to connect with the right people. Influential people and decision-makers are most likely going to be hanging around LinkedIn or will look you up on LinkedIn to get to know more about your offer, so it's important to use ChatGPT to assist you in optimizing your profile so you are not only visible, but your profile looks credible. Give it prompts like: "This is a screenshot of my LinkedIn profile. What are my gaps and how can I improve this so it reaches my target clients and arrests their attention? Analyze everything and give me your feedback." 3. Use ChatGPT For Pitching Go to the places where potential clients are already looking, i.e. freelance marketplaces like Fiverr, Upwork, etc., and use ChatGPT to help you at every stage of the set-up, from writing your bio, to your services description, to organizing your packages, to proposals for clients. You can also use it to formulate pitch templates to tap into your local network of warm leads (ex-colleagues, people you've worked with/partnered with recently or a few years ago and have had a positive working relationship with, acquaintances and friends in business, alumni, local networking groups, etc.) Finally, tell ChatGPT the types of contacts you've made and ask it to explore any gaps in your strategy so you can consider who else you could make contact with, to either convert them into clients, or gain word-of-mouth referrals. Using a combination of all these approaches makes it way easier to secure your first five clients this week. What To Stop Doing Right Now Cold-pitching on LinkedIn DMs, it makes you sound desperate Putting your green open-to-work banner on LinkedIn, it positions you as a job-seeker, not an entrepreneur, service provider, or expert Waiting for clients to come to your website or LinkedIn and magically find you Overcomplicating your offer--when there's no clarity you confuse everybody As a freelancer, leverage ChatGPT to ask deep questions and look beyond the surface; ask for the ... More hidden factor getty FAQs How can I land clients fast? At the beginning, focus on where they're already looking for help, like freelance marketplaces. Make your offer simple and easy to understand, at the same time ensuring it solves a direct need and there are hardly any hoops to jump through. Leverage ChatGPT to help you at every stage, from researching to pitching and proposals. What if I don't have any testimonials or reviews yet? That's OK, you can start with previous projects you've worked on (even pro bono counts), or small wins at work which are related to your freelance service offer. You can also reduce the price so you can use your first five clients as 'projects' to secure testimonials, and then you can gain more clients after.
