The post Inside the new architecture of play appeared on BitcoinEthereumNews.com. Homepage > News > Business > ‘I want agents that say no’: Inside the new architectureThe post Inside the new architecture of play appeared on BitcoinEthereumNews.com. Homepage > News > Business > ‘I want agents that say no’: Inside the new architecture

Inside the new architecture of play

What happens to games when the characters inside them start thinking for themselves, making decisions you didn’t predict, remembering your past interactions, or even telling you “no”?

This was the question hovering over a fireside chat at the YGG Play Summit in the Philippines, where Joe Josue of Ahensya sat down with LongHash Ventures’ Shi Khai Wei to unpack the fast-moving world of artificial intelligence (AI) agents in games. The conversation was part speculation, part cautionary tale, and part wide-eyed excitement about where play might be headed next.

Right from the start, Shi Khai acknowledged the obvious: we’re in an AI hype cycle, and everyone is scrambling to stake a claim. But hype aside, he argued, something more profound is emerging.

“AI agents are not just NPCs that respond better. They’re entities that can act, plan, and sometimes surprise.. even disobey you.”

That single idea reframed the entire discussion.

Josue pressed him on what kinds of agents actually matter, and the conversation flowed through a spectrum of experiments happening today. On the utility end, there are productivity-focused agents, systems that automate tasks or maintain persistent game worlds, much like the autonomous logic behind EVE Frontier. These are helpful, but not exactly transformative.

The magic, as Shi Khai explained, begins when agents stop simply assisting and start interpreting. Games like Parallel Colony let players whisper instructions to AI characters, knowing full well those agents might follow their own instincts instead. “When agents start interpreting your instructions instead of obeying them,” he said, “that’s when gameplay becomes magic.”

From there, the discussion slipped into AI-driven worlds populated entirely by generative characters and objects, ecosystems that feel alive because they’re not restricted to scripts. At the same time, more grounded projects are using AI companions as onboarding guides or personalized helpers. These “sherpa agents” blend utility with warmth, remembering the player’s behavior and adjusting in real time.

But this raised the emotional question: how close is too close? Some AI companions today already feel intimate, intelligently so. Shi Khai acknowledged the stickiness this can create, but also the lurking risks. “We have to be careful,” he warned. “AI companions can be powerful, but intimacy can also be dangerous.”

When Josue brought up how founders should handle the weight of building in both AI and crypto, two experimental domains colliding at once, Shi Khai emphasized not chasing trends for the sake of it. “Founders don’t follow hype because investors say so,” he said. “They’re drawn to frontiers.”

And constraints, surprisingly, can be the spark. Since running a large model per player is still expensive, studios must craft clever architectures rather than leaning on brute force. “Constraints force creativity,” he added. “You can’t brute-force your way to magic.”

The examples poured out naturally: Parallel Colony’s emergent gameplay, Virtuals Protocol’s agentic experimentation, Roblox creators blending genres in ways big studios wouldn’t dare, and new worlds driven by AI companions from other teams. Even infrastructure players like Aethir are shaping how these experiences can scale. The common thread? None of it fits yesterday’s categories.

This led to one of the most intriguing ideas of the session: what happens when agents develop a will of their own, not just personality, but the right to push back? Shi Khai’s eyes lit up as he described what he wanted to see next. “I want agents that say no,” he said. “I want them to reject you, argue with you, push back. That’s when you get real character.”

A digital companion that always agrees is just software. One who disagrees becomes a character.

As the session wrapped, Shi Khai left the audience with a challenge. “When you see a demo today, ask: where are the AI agents? If they don’t have an answer, they’re not experimenting hard enough.”

By the end of the conversation, it was clear that AI agents aren’t a feature; they’re a shift in the architecture of play. They’re the beginnings of emergent worlds, personalized narratives, unpredictable moments, and characters that can surprise or even confront you. And as Shi Khai put it with a hint of anticipation: “We’re just starting to understand what happens when we give AI a will. That’s the frontier.”

In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek’s coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.

Watch | Philippine Blockchain Week 2025: Web3 innovation goes from hype to use case

frameborder=”0″ allow=”accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share” referrerpolicy=”strict-origin-when-cross-origin” allowfullscreen>

Source: https://coingeek.com/i-want-agents-that-say-no-inside-the-new-architecture-of-play/

Market Opportunity
PlaysOut Logo
PlaysOut Price(PLAY)
$0.04869
$0.04869$0.04869
-3.16%
USD
PlaysOut (PLAY) 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

Atlassian’s Monumental DX Acquisition: Revolutionizing Developer Productivity for a Billion-Dollar Future

Atlassian’s Monumental DX Acquisition: Revolutionizing Developer Productivity for a Billion-Dollar Future

BitcoinWorld Atlassian’s Monumental DX Acquisition: Revolutionizing Developer Productivity for a Billion-Dollar Future In a move that sends ripples across the tech industry, impacting everything from foundational infrastructure to the cutting-edge innovations seen in blockchain and cryptocurrency development, productivity software giant Atlassian has made its largest acquisition to date. This isn’t just another corporate buyout; it’s a strategic investment in the very fabric of how software is built. The Atlassian acquisition of DX, a pioneering developer productivity platform, for a staggering $1 billion, signals a profound commitment to optimizing engineering workflows and understanding the true pulse of development teams. For those invested in the efficiency and scalability of digital ecosystems, this development underscores the growing importance of robust tooling at every layer. Unpacking the Monumental Atlassian Acquisition: A Billion-Dollar Bet on Developer Efficiency On a recent Thursday, Atlassian officially announced its agreement to acquire DX for $1 billion, a sum comprising both cash and restricted stock. This substantial investment highlights Atlassian’s belief in the critical role of developer insights in today’s fast-paced tech landscape. For years, Atlassian has been synonymous with collaboration and project management tools, powering teams worldwide with products like Jira, Confluence, and Trello. However, recognizing a growing need, the company has now decisively moved to integrate a dedicated developer productivity insight platform into its formidable product suite. This acquisition isn’t merely about expanding market share; it’s about deepening Atlassian’s value proposition by providing comprehensive visibility into the health and efficiency of engineering operations. The strategic rationale behind this billion-dollar move is multifaceted. Atlassian co-founder and CEO Mike Cannon-Brookes shared with Bitcoin World that after a three-year attempt to build an in-house developer productivity insight tool, his Sydney-based company realized the immense value of an external, existing solution. This candid admission speaks volumes about the complexity and specialized nature of developer productivity measurement. DX emerged as the natural choice, not least because an impressive 90% of DX’s existing customers were already leveraging Atlassian’s project management and collaboration tools. This pre-existing synergy promises a smoother integration and immediate value for a significant portion of the combined customer base. What is the DX Platform and Why is it a Game-Changer? At its core, DX is designed to empower enterprises by providing deep analytics into how productive their engineering teams truly are. More importantly, it helps identify and unblock bottlenecks that can significantly slow down development cycles. Launched five years ago by Abi Noda and Greyson Junggren, DX emerged from a fundamental challenge: the lack of accurate and non-intrusive metrics to understand developer friction. Abi Noda, in a 2022 interview with Bitcoin World, articulated his founding vision: to move beyond superficial metrics that often failed to capture the full picture of engineering challenges. His experience as a product manager at GitHub revealed that traditional measures often felt like surveillance rather than support, leading to skewed perceptions of productivity. DX was built on a different philosophy, focusing on qualitative and quantitative insights that truly reflect what hinders teams, without making developers feel scrutinized. Noda noted, “The assumptions we had about what we needed to help ship products faster were quite different than what the teams and developers were saying was getting in their way.” Since emerging from stealth in 2022, the DX platform has demonstrated remarkable growth, tripling its customer base every year. It now serves over 350 enterprise customers, including industry giants like ADP, Adyen, and GitHub. What makes DX’s success even more impressive is its lean operational model; the company achieved this rapid expansion while raising less than $5 million in venture funding. This efficiency underscores the inherent value and strong market demand for its solution, making it an exceptionally attractive target for Atlassian. Boosting Developer Productivity: Atlassian’s Strategic Vision The acquisition of DX is a clear signal of Atlassian’s strategic intent to not just manage tasks, but to optimize the entire software development lifecycle. By integrating DX’s capabilities, Atlassian aims to offer an end-to-end “flywheel” for engineering teams. This means providing tools that not only facilitate collaboration and project tracking but also offer actionable insights into where processes are breaking down and how they can be improved. Mike Cannon-Brookes elaborated on this synergy, stating, “DX has done an amazing job [of] understanding the qualitative and quantitative aspects of developer productivity and turning that into actions that can improve those companies and give them insights and comparisons to others in their industry, others at their size, etc.” This capability to benchmark and identify specific areas for improvement is invaluable for organizations striving for continuous enhancement. Abi Noda echoed this sentiment, telling Bitcoin World that the combined entities are “better together than apart.” He emphasized how Atlassian’s extensive suite of tools complements the data and information gathered by DX. “We are able to provide customers with that full flywheel to get the data and understand where we are unhealthy,” Noda explained. “They can plug in Atlassian’s tools and solutions to go address those bottlenecks. An end-to-end flywheel that is ultimately what customers want.” This integration promises to create a seamless experience, allowing teams to move from identifying an issue to implementing a solution within a unified ecosystem. The Intersection of Enterprise Software and Emerging Tech Trends This landmark acquisition also highlights a significant trend in the broader enterprise software landscape: a shift towards more intelligent, data-driven solutions that directly impact operational efficiency and competitive advantage. As companies continue to invest heavily in digital transformation, the ability to measure and optimize the output of their most valuable asset — their engineering talent — becomes paramount. DX’s impressive roster of over 350 enterprise customers, including some of the largest and most technologically advanced organizations, is a testament to the universal need for such a platform. These companies recognize that merely tracking tasks isn’t enough; they need to understand the underlying dynamics of their engineering teams to truly unlock their potential. The integration of DX into Atlassian’s ecosystem will likely set a new standard for what enterprise software can offer, pushing competitors to enhance their own productivity insights. Moreover, this move by Atlassian, a global leader in enterprise collaboration, underscores a broader investment thesis in foundational tooling. Just as robust blockchain infrastructure is critical for the future of decentralized finance, powerful and insightful developer tools are essential for the evolution of all software, including the complex applications underpinning Web3. The success of companies like DX, which scale without massive external funding, also resonates with the lean, efficient ethos often celebrated in the crypto space. Navigating the Era of AI Tools: Measuring Impact and ROI Perhaps one of the most compelling aspects of this acquisition, as highlighted by Atlassian’s CEO, is its timely relevance in the era of rapidly advancing AI tools. Mike Cannon-Brookes noted that the rise of AI has created a new imperative for companies to measure its usage and effectiveness. “You suddenly have these budgets that are going up. Is that a good thing? Is that not a good thing? Am I spending the money in the right ways? It’s really, really important and critical.” With AI-powered coding assistants and other generative AI solutions becoming increasingly prevalent in development workflows, organizations are grappling with how to quantify the return on investment (ROI) of these new technologies. DX’s platform can provide the necessary insights to understand if AI tools are genuinely boosting productivity, reducing bottlenecks, or simply adding to complexity. By offering clear data on how AI impacts developer efficiency, DX will help enterprises make smarter, data-driven decisions about their AI investments. This foresight positions Atlassian not just as a provider of developer tools, but as a strategic partner in navigating the complexities of modern software development, particularly as AI integrates more deeply into every facet of the engineering process. It’s about empowering organizations to leverage AI effectively, ensuring that these powerful new tools translate into tangible improvements in output and innovation. The Atlassian acquisition of DX represents a significant milestone for both companies and the broader tech industry. It’s a testament to the growing recognition that developer productivity is not just a buzzword, but a measurable and critical factor in an organization’s success. By combining DX’s powerful insights with Atlassian’s extensive suite of collaboration and project management tools, the merged entity is poised to offer an unparalleled, end-to-end solution for optimizing software development. This strategic move, valued at a billion dollars, underscores Atlassian’s commitment to innovation and its vision for a future where engineering teams are not only efficient but also deeply understood and supported, paving the way for a more productive and insightful era in enterprise software. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post Atlassian’s Monumental DX Acquisition: Revolutionizing Developer Productivity for a Billion-Dollar Future first appeared on BitcoinWorld.
Share
Coinstats2025/09/18 21:40
China Bans Nvidia’s RTX Pro 6000D Chip Amid AI Hardware Push

China Bans Nvidia’s RTX Pro 6000D Chip Amid AI Hardware Push

TLDR China instructs major firms to cancel orders for Nvidia’s RTX Pro 6000D chip. Nvidia shares drop 1.5% after China’s ban on key AI hardware. China accelerates development of domestic AI chips, reducing U.S. tech reliance. Crypto and AI sectors may seek alternatives due to limited Nvidia access in China. China has taken a bold [...] The post China Bans Nvidia’s RTX Pro 6000D Chip Amid AI Hardware Push appeared first on CoinCentral.
Share
Coincentral2025/09/18 01:09
UWRO President Nail Saifutdinov: Digital Solutions for Faith Communities and Remembrance Services—Under One International Foundation

UWRO President Nail Saifutdinov: Digital Solutions for Faith Communities and Remembrance Services—Under One International Foundation

UWRO (United World Religions Organization) is an international faith tech foundation working at the intersection of technology, media, and social impact. It creates
Share
Techbullion2025/12/26 20:19