How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Complete Guide to Mega Productivity With Perplexity Comet (100 Shortcuts + 40 Prompts) By @sidsaladi [ 19 Min read ] Perplexity’s Comet browser changed how I work—AI-powered, distraction-free, and built for productivity, not ad clicks. Read More. Sia Foundation’s Nonprofit Cloud Model Redefines Data Ownership and Privacy By @siafoundation [ 4 Min read ] The Sia Foundation builds user-owned, nonprofit cloud storage—prioritizing privacy, transparency, and ethical infrastructure over profit. Read More. How We Built a Gaming Platform That Never Takes Your Money (But Still Makes Millions) By @slotozilla [ 6 Min read ] Slotozilla hosts 40K+ slot demos from 200+ providers, scaling globally with no deposits. Here’s how its tech stack makes millions without real-money play. Read More. Klink Finance Disrupts Failing Web2 Ads - Launching $KLINK Token This October By @klink_finance [ 4 Min read ] Klink is an earnings platform where you get paid in cash or crypto for completing online offers, playing games, and social quests. Read More. 5 Best HR And Payroll Software For Small Businesses (October 2025) By @erikronson [ 8 Min read ] A simple, exhaustive guide to the best HR And Payroll Software For Small Businesses as of October 2025. Read More. A Practical Guide to Measuring Business Impact in AI/ML Projects By @vladyslav_chekryzhov [ 22 Min read ] Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence. Read More. Best AI Visibility Tools for 2025 By @erikronson [ 8 Min read ] An exhaustive guide to AI visibility tools written by someone who has tried all of them. Read More. Your AI Chatbot Just Leaked Customer Data to OpenAI. Here’s How it Happened and How to Prevent it By @lab42ai [ 41 Min read ] Your AI chatbot just leaked customer data to OpenAI. Here’s how it happened and how to prevent it. Read More. Can ChatGPT Outperform the Market? Week 8 By @nathanbsmith729 [ 4 Min read ] New high of +30%… Read More. What If Credit Wasn’t a Privilege, but a Protocol? By @lonewolf [ 7 Min read ] What if credit weren’t a privilege for the few but an open protocol for everyone? Discover how Gluwa is redefining global finance through decentralized credit. Read More. Gluwa’s DeFi Model Proves Profit and Purpose Can Coexist By @jwillie [ 4 Min read ] Gluwa’s DeFi model shows that profit and purpose can coexist, leveraging blockchain technology to connect investors with the unbanked for transparent finance. Read More. Space Tourism Is Taking Off: Are We Ready for the Risks? By @jamesjohnson [ 7 Min read ] Space tourism is moving from science fiction to reality, but safety, regulation, and sustainability concerns loom large. Are we prepared to handle the risks? Read More. Companies Will Soon Be Forced to Rehire Real Human Programmers and Stop Burning Cash on AI By @pepitoscrespo [ 9 Min read ] AI code assistants are flooding production with bugs and tangled logic. Read More. Making It to HackerNoon’s Front Page — How Hard Is It, Really? By @editingprotocol [ 3 Min read ] Learn what it takes to get your article on HackerNoon’s front page with tips, editorial insights, and strategies to boost visibility. Read More. 10 Influential Women in The AI Space By @vicloskutova [ 15 Min read ] Meet 10 influential women redefining AI—leaders, founders, and innovators shaping technology with creativity, ethics, and bold vision. Read More. If You’re an AppSec Engineer, You’re Lucky By @mend [ 4 Min read ] AI is transforming software - and security. Discover why it’s the best (and hardest) time to be an AppSec engineer. Read More. 5 Open-Source IoT Tools Everyone Can Use for Free —and Support with Kivach By @obyte [ 7 Min read ] We’ve picked five open-source IoT software projects you can use for free. If you find them convenient, you can support them with donations via Kivach. Read More. Synthetic Data Isn’t Fake. It’s the Future of Private, Scalable AI By @hackercm82e8sjm0000357ot0f13wld [ 8 Min read ] Discover how synthetic data is transforming AI by overcoming privacy, scarcity, and scalability challenges. Learn how GANs, VAEs, and diffusion models generate Read More. The Lost Art of Web3 Marketing By @hackmarketing [ 6 Min read ] Explore why Web3 marketing feels like a lost art—and how projects can move beyond hype to build real, sustainable growth, community, and clarity in messaging. Read More. Can We Terraform Our Way Out of Earth? By @mojomonkey [ 9 Min read ] Beyond Mars, what worlds could humanity reshape next? What possible havens could we escape to? Explore the science and ethics behind terraforming new bodies.c Read More. 🧑‍💻 What happened in your world this week? It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️ ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it. See you on Planet Internet! With love, The HackerNoon Team ✌️ How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Complete Guide to Mega Productivity With Perplexity Comet (100 Shortcuts + 40 Prompts) By @sidsaladi [ 19 Min read ] Perplexity’s Comet browser changed how I work—AI-powered, distraction-free, and built for productivity, not ad clicks. Read More. Sia Foundation’s Nonprofit Cloud Model Redefines Data Ownership and Privacy By @siafoundation [ 4 Min read ] The Sia Foundation builds user-owned, nonprofit cloud storage—prioritizing privacy, transparency, and ethical infrastructure over profit. Read More. How We Built a Gaming Platform That Never Takes Your Money (But Still Makes Millions) By @slotozilla [ 6 Min read ] Slotozilla hosts 40K+ slot demos from 200+ providers, scaling globally with no deposits. Here’s how its tech stack makes millions without real-money play. Read More. Klink Finance Disrupts Failing Web2 Ads - Launching $KLINK Token This October By @klink_finance [ 4 Min read ] Klink is an earnings platform where you get paid in cash or crypto for completing online offers, playing games, and social quests. Read More. 5 Best HR And Payroll Software For Small Businesses (October 2025) By @erikronson [ 8 Min read ] A simple, exhaustive guide to the best HR And Payroll Software For Small Businesses as of October 2025. Read More. A Practical Guide to Measuring Business Impact in AI/ML Projects By @vladyslav_chekryzhov [ 22 Min read ] Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence. Read More. Best AI Visibility Tools for 2025 By @erikronson [ 8 Min read ] An exhaustive guide to AI visibility tools written by someone who has tried all of them. Read More. Your AI Chatbot Just Leaked Customer Data to OpenAI. Here’s How it Happened and How to Prevent it By @lab42ai [ 41 Min read ] Your AI chatbot just leaked customer data to OpenAI. Here’s how it happened and how to prevent it. Read More. Can ChatGPT Outperform the Market? Week 8 By @nathanbsmith729 [ 4 Min read ] New high of +30%… Read More. What If Credit Wasn’t a Privilege, but a Protocol? By @lonewolf [ 7 Min read ] What if credit weren’t a privilege for the few but an open protocol for everyone? Discover how Gluwa is redefining global finance through decentralized credit. Read More. Gluwa’s DeFi Model Proves Profit and Purpose Can Coexist By @jwillie [ 4 Min read ] Gluwa’s DeFi model shows that profit and purpose can coexist, leveraging blockchain technology to connect investors with the unbanked for transparent finance. Read More. Space Tourism Is Taking Off: Are We Ready for the Risks? By @jamesjohnson [ 7 Min read ] Space tourism is moving from science fiction to reality, but safety, regulation, and sustainability concerns loom large. Are we prepared to handle the risks? Read More. Companies Will Soon Be Forced to Rehire Real Human Programmers and Stop Burning Cash on AI By @pepitoscrespo [ 9 Min read ] AI code assistants are flooding production with bugs and tangled logic. Read More. Making It to HackerNoon’s Front Page — How Hard Is It, Really? By @editingprotocol [ 3 Min read ] Learn what it takes to get your article on HackerNoon’s front page with tips, editorial insights, and strategies to boost visibility. Read More. 10 Influential Women in The AI Space By @vicloskutova [ 15 Min read ] Meet 10 influential women redefining AI—leaders, founders, and innovators shaping technology with creativity, ethics, and bold vision. Read More. If You’re an AppSec Engineer, You’re Lucky By @mend [ 4 Min read ] AI is transforming software - and security. Discover why it’s the best (and hardest) time to be an AppSec engineer. Read More. 5 Open-Source IoT Tools Everyone Can Use for Free —and Support with Kivach By @obyte [ 7 Min read ] We’ve picked five open-source IoT software projects you can use for free. If you find them convenient, you can support them with donations via Kivach. Read More. Synthetic Data Isn’t Fake. It’s the Future of Private, Scalable AI By @hackercm82e8sjm0000357ot0f13wld [ 8 Min read ] Discover how synthetic data is transforming AI by overcoming privacy, scarcity, and scalability challenges. Learn how GANs, VAEs, and diffusion models generate Read More. The Lost Art of Web3 Marketing By @hackmarketing [ 6 Min read ] Explore why Web3 marketing feels like a lost art—and how projects can move beyond hype to build real, sustainable growth, community, and clarity in messaging. Read More. Can We Terraform Our Way Out of Earth? By @mojomonkey [ 9 Min read ] Beyond Mars, what worlds could humanity reshape next? What possible havens could we escape to? Explore the science and ethics behind terraforming new bodies.c Read More. 🧑‍💻 What happened in your world this week? It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️ ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it. See you on Planet Internet! With love, The HackerNoon Team ✌️

The TechBeat: Klink Finance Disrupts Failing Web2 Ads - Launching $KLINK Token This October (10/13/2025)

How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Complete Guide to Mega Productivity With Perplexity Comet (100 Shortcuts + 40 Prompts) By @sidsaladi [ 19 Min read ] Perplexity’s Comet browser changed how I work—AI-powered, distraction-free, and built for productivity, not ad clicks. Read More.

Sia Foundation’s Nonprofit Cloud Model Redefines Data Ownership and Privacy

By @siafoundation [ 4 Min read ] The Sia Foundation builds user-owned, nonprofit cloud storage—prioritizing privacy, transparency, and ethical infrastructure over profit. Read More.

How We Built a Gaming Platform That Never Takes Your Money (But Still Makes Millions)

By @slotozilla [ 6 Min read ] Slotozilla hosts 40K+ slot demos from 200+ providers, scaling globally with no deposits. Here’s how its tech stack makes millions without real-money play. Read More.

Klink Finance Disrupts Failing Web2 Ads - Launching $KLINK Token This October

By @klink_finance [ 4 Min read ] Klink is an earnings platform where you get paid in cash or crypto for completing online offers, playing games, and social quests. Read More.

5 Best HR And Payroll Software For Small Businesses (October 2025)

By @erikronson [ 8 Min read ] A simple, exhaustive guide to the best HR And Payroll Software For Small Businesses as of October 2025. Read More.

A Practical Guide to Measuring Business Impact in AI/ML Projects

By @vladyslav_chekryzhov [ 22 Min read ] Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence. Read More.

Best AI Visibility Tools for 2025

By @erikronson [ 8 Min read ] An exhaustive guide to AI visibility tools written by someone who has tried all of them. Read More.

Your AI Chatbot Just Leaked Customer Data to OpenAI. Here’s How it Happened and How to Prevent it

By @lab42ai [ 41 Min read ] Your AI chatbot just leaked customer data to OpenAI. Here’s how it happened and how to prevent it. Read More.

Can ChatGPT Outperform the Market? Week 8

By @nathanbsmith729 [ 4 Min read ] New high of +30%… Read More.

What If Credit Wasn’t a Privilege, but a Protocol?

By @lonewolf [ 7 Min read ] What if credit weren’t a privilege for the few but an open protocol for everyone? Discover how Gluwa is redefining global finance through decentralized credit. Read More.

Gluwa’s DeFi Model Proves Profit and Purpose Can Coexist

By @jwillie [ 4 Min read ] Gluwa’s DeFi model shows that profit and purpose can coexist, leveraging blockchain technology to connect investors with the unbanked for transparent finance. Read More.

Space Tourism Is Taking Off: Are We Ready for the Risks?

By @jamesjohnson [ 7 Min read ] Space tourism is moving from science fiction to reality, but safety, regulation, and sustainability concerns loom large. Are we prepared to handle the risks? Read More.

Companies Will Soon Be Forced to Rehire Real Human Programmers and Stop Burning Cash on AI

By @pepitoscrespo [ 9 Min read ] AI code assistants are flooding production with bugs and tangled logic. Read More.

Making It to HackerNoon’s Front Page — How Hard Is It, Really?

By @editingprotocol [ 3 Min read ] Learn what it takes to get your article on HackerNoon’s front page with tips, editorial insights, and strategies to boost visibility. Read More.

10 Influential Women in The AI Space

By @vicloskutova [ 15 Min read ] Meet 10 influential women redefining AI—leaders, founders, and innovators shaping technology with creativity, ethics, and bold vision. Read More.

If You’re an AppSec Engineer, You’re Lucky

By @mend [ 4 Min read ] AI is transforming software - and security. Discover why it’s the best (and hardest) time to be an AppSec engineer. Read More.

5 Open-Source IoT Tools Everyone Can Use for Free —and Support with Kivach

By @obyte [ 7 Min read ] We’ve picked five open-source IoT software projects you can use for free. If you find them convenient, you can support them with donations via Kivach. Read More.

Synthetic Data Isn’t Fake. It’s the Future of Private, Scalable AI

By @hackercm82e8sjm0000357ot0f13wld [ 8 Min read ] Discover how synthetic data is transforming AI by overcoming privacy, scarcity, and scalability challenges. Learn how GANs, VAEs, and diffusion models generate Read More.

The Lost Art of Web3 Marketing

By @hackmarketing [ 6 Min read ] Explore why Web3 marketing feels like a lost art—and how projects can move beyond hype to build real, sustainable growth, community, and clarity in messaging. Read More.

Can We Terraform Our Way Out of Earth?

By @mojomonkey [ 9 Min read ] Beyond Mars, what worlds could humanity reshape next? What possible havens could we escape to? Explore the science and ethics behind terraforming new bodies.c Read More. 🧑‍💻 What happened in your world this week? It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️ ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it. See you on Planet Internet! With love, The HackerNoon Team ✌️

Market Opportunity
TokenFi Logo
TokenFi Price(TOKEN)
$0.004089
$0.004089$0.004089
-1.44%
USD
TokenFi (TOKEN) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

The Channel Factories We’ve Been Waiting For

The Channel Factories We’ve Been Waiting For

The post The Channel Factories We’ve Been Waiting For appeared on BitcoinEthereumNews.com. Visions of future technology are often prescient about the broad strokes while flubbing the details. The tablets in “2001: A Space Odyssey” do indeed look like iPads, but you never see the astronauts paying for subscriptions or wasting hours on Candy Crush.  Channel factories are one vision that arose early in the history of the Lightning Network to address some challenges that Lightning has faced from the beginning. Despite having grown to become Bitcoin’s most successful layer-2 scaling solution, with instant and low-fee payments, Lightning’s scale is limited by its reliance on payment channels. Although Lightning shifts most transactions off-chain, each payment channel still requires an on-chain transaction to open and (usually) another to close. As adoption grows, pressure on the blockchain grows with it. The need for a more scalable approach to managing channels is clear. Channel factories were supposed to meet this need, but where are they? In 2025, subnetworks are emerging that revive the impetus of channel factories with some new details that vastly increase their potential. They are natively interoperable with Lightning and achieve greater scale by allowing a group of participants to open a shared multisig UTXO and create multiple bilateral channels, which reduces the number of on-chain transactions and improves capital efficiency. Achieving greater scale by reducing complexity, Ark and Spark perform the same function as traditional channel factories with new designs and additional capabilities based on shared UTXOs.  Channel Factories 101 Channel factories have been around since the inception of Lightning. A factory is a multiparty contract where multiple users (not just two, as in a Dryja-Poon channel) cooperatively lock funds in a single multisig UTXO. They can open, close and update channels off-chain without updating the blockchain for each operation. Only when participants leave or the factory dissolves is an on-chain transaction…
Share
BitcoinEthereumNews2025/09/18 00:09
Gold Hits $3,700 as Sprott’s Wong Says Dollar’s Store-of-Value Crown May Slip

Gold Hits $3,700 as Sprott’s Wong Says Dollar’s Store-of-Value Crown May Slip

The post Gold Hits $3,700 as Sprott’s Wong Says Dollar’s Store-of-Value Crown May Slip appeared on BitcoinEthereumNews.com. Gold is strutting its way into record territory, smashing through $3,700 an ounce Wednesday morning, as Sprott Asset Management strategist Paul Wong says the yellow metal may finally snatch the dollar’s most coveted role: store of value. Wong Warns: Fiscal Dominance Puts U.S. Dollar on Notice, Gold on Top Gold prices eased slightly to $3,678.9 […] Source: https://news.bitcoin.com/gold-hits-3700-as-sprotts-wong-says-dollars-store-of-value-crown-may-slip/
Share
BitcoinEthereumNews2025/09/18 00:33
AI in Sports: The Controversial Experiment of the Oakland Ballers’ AI Manager

AI in Sports: The Controversial Experiment of the Oakland Ballers’ AI Manager

BitcoinWorld AI in Sports: The Controversial Experiment of the Oakland Ballers’ AI Manager In the rapidly evolving landscape of technology, the boundaries of innovation are constantly being pushed. For those immersed in the world of cryptocurrency and blockchain, the concept of decentralized decision-making and experimental technology is familiar territory. So, when an independent baseball team decided to let an AI manage a game, it naturally sparked a fascinating conversation. This bold move by the Oakland Ballers wasn’t just about baseball; it was a profound experiment in AI in sports, echoing the spirit of disruption and questioning traditional structures that resonates deeply within the tech community. The Mathematical Heart of Baseball and the Rise of AI in Sports Baseball, often called America’s pastime, is more than just a game of skill and athleticism; it’s a deeply mathematical sport. Every pitch, every swing, every defensive shift can be broken down into granular statistics. Major League teams employ legions of data engineers to crunch numbers, seeking minute advantages that can influence managerial decisions. This data-driven approach, while effective, sometimes leads to an almost absurd level of overanalysis, reminiscent of Mr. Burns in that classic Simpsons episode, who famously pulled an eight-time all-star for Homer Simpson based on ‘playing the percentages.’ This deep analytical foundation makes baseball a prime candidate for technological experimentation, especially with artificial intelligence. The integration of AI in sports isn’t just a futuristic fantasy; it’s becoming a tangible reality, promising to optimize strategies, enhance player performance analysis, and even redefine the role of human coaches. From predictive analytics for player injuries to real-time strategic adjustments, AI offers a new lens through which to view and manage athletic competition. The Oakland Ballers, with their independent spirit, decided to take this concept further than most, venturing into uncharted territory. The Oakland Ballers’ Bold Experiment with Baseball AI The story of the Oakland Ballers is one of resilience and innovation. Founded by edtech entrepreneur Paul Freedman, the Ballers emerged as a beacon of hope for Oakland baseball fans after the painful departure of the Major League A’s. Though a minor league team, the ‘Oakland B’s’ quickly garnered a national following, winning a title in just two seasons. This unique position—a major league team in a minor league market—gave them the freedom to experiment in ways larger leagues couldn’t. Freedman explained to Bitcoin World, "We can play with things and experiment with things way before the MLB or NBA or any of those leagues could do something." This experimental ethos led them to a groundbreaking partnership with Distillery, an AI company, to develop software capable of managing a baseball game in real time. The core of this initiative was to see how a sophisticated Baseball AI could perform under live game conditions. Unlike previous fan-controlled experiments where humorous decisions often trumped strategic ones, this AI initiative aimed for pure data-driven optimization. The implications of such an experiment extend beyond the diamond, touching upon how artificial intelligence might reshape various industries, including those reliant on complex, real-time decision-making. Navigating AI Decision-Making on the Field The choice of baseball for this AI experiment was deliberate. As Freedman noted, "Baseball is the perfect place to do an initial experiment like this, because it is so data-driven, and decisions are made very analytically." The slow pace between pitches allows ample time for an AI system to process data and recommend actions. Distillery trained OpenAI’s ChatGPT on an immense dataset, including over a century of baseball statistics and specific Ballers game data, to mimic the strategic thinking of their human manager, Aaron Miles. The goal wasn’t to replace human ingenuity but to augment it. Freedman clarified, "What the AI did was figure out what our human coach would have done – the ingenuity on strategy and the concepts came from [Miles], and the ability to use the data and recognize patterns… is what the AI did throughout the course of the game." This highlights a critical distinction in the current state of AI decision-making: AI as a powerful tool for optimization, rather than an autonomous replacement for human expertise. During the AI-controlled game, the system performed remarkably, making almost identical decisions to Miles regarding pitching changes, lineup adjustments, and pinch hitters. The only instance where Miles had to intervene was due to a player’s unexpected illness, a scenario outside the AI’s programmed scope. This singular override underscores the enduring necessity of human oversight for unforeseen circumstances and ethical considerations. The manager himself, Aaron Miles, embraced the experiment with good humor, even offering the tablet running the AI for a handshake with the opposing manager, a symbolic gesture of technology meeting tradition. Aspect Human Manager (Aaron Miles) AI Manager (Distillery’s AI) Decision-making Basis Experience, intuition, real-time observation, data analysis Centuries of baseball data, Ballers’ game history, pattern recognition via ChatGPT Key Decisions Made Pitching changes, lineup construction, pinch hitters Identical decisions to Miles for pitching changes, lineup, pinch hitters Override Instances Miles overrode AI once due to player illness Required human override for unexpected player health issue Outcome of Game Smooth execution of managerial strategy Smooth execution, mirroring human decisions The Critical Role of Fan Engagement and Backlash Despite the smooth execution of the AI’s managerial duties, the experiment triggered an unexpected wave of backlash from the Oakland Ballers’ dedicated fanbase. For many, the involvement of companies like OpenAI, which powered Distillery’s AI, felt like a betrayal. Fans expressed concerns that such enterprises prioritize "winning" the AI race over thorough safety testing and ethical deployment. This sentiment was amplified by the recent history of corporate greed that led to the departure of multiple professional sports franchises from Oakland, creating a deep-seated mistrust among locals. Comments like "There goes the Ballers trying to appeal to Bay Area techies instead of baseball fans" highlighted a perceived disconnect. The issue wasn’t just about AI; it was about the broader cultural tension between technological advancement and community values. Fan engagement, crucial for any sports team, proved to be a double-edged sword. While fans had previously embraced novel concepts like fan-controlled games, the AI experiment touched a nerve related to corporate influence and the perceived erosion of authenticity. Paul Freedman acknowledged the unforeseen negative reaction, stating, "It never feels good to have your fans be like, ‘We hate this.’" The Ballers do not intend to repeat this specific AI experiment. However, the experience sparked a vital conversation about the ethical implications and societal acceptance of new technologies. This public discourse, though initially uncomfortable, is essential for navigating the complex future of AI. It underscores that while technology can optimize processes, the human element—emotion, community, and trust—remains paramount. A Look Ahead: Balancing Innovation and Community in the Age of AI The Oakland Ballers’ experiment serves as a compelling case study in the ongoing dialogue surrounding artificial intelligence. It showcased the impressive capabilities of AI in sports for data-driven strategy while simultaneously revealing the critical importance of public perception and fan engagement. The journey of the Oakland Ballers, from a team born out of protest to pioneers in sports technology, reflects a broader societal challenge: how to embrace innovation without alienating the communities it serves. As AI continues to integrate into various aspects of life, including sports and even the financial sector where cryptocurrencies thrive, understanding its practical applications and potential pitfalls becomes increasingly vital. The Ballers’ experience reminds us that while AI can be an incredible tool for optimization, the human touch, ethical considerations, and genuine connection with stakeholders are indispensable. The conversation about AI’s role in our future has just begun, and experiments like these, even with their bumps, are crucial steps in shaping that dialogue responsibly. To learn more about the latest AI in sports trends, explore our article on key developments shaping AI features, institutional adoption, and future applications. This post AI in Sports: The Controversial Experiment of the Oakland Ballers’ AI Manager first appeared on BitcoinWorld.
Share
Coinstats2025/09/23 04:45