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Dear ARPA community,
Over the past few months, ARPA Network has continued advancing its mission to make decentralized systems more transparent, secure, and verifiable. This season, we reached an important milestone with the official launch of Archive of Fate, our AI-powered fate simulation game built around Randcast’s verifiable randomness. We also expanded the game’s reach through new platform integrations and community campaigns, introduced an AI-powered governance initiative, and continued building partnerships across decentralized infrastructure and Web3 applications.
Alongside these developments, ARPA AVS maintained substantial network participation, while our latest products and research attracted growing attention from the wider blockchain and AI communities. Here is a recap of ARPA Network’s key progress and ecosystem developments during Fall 2026.
Tech Upgrades: Refining Archive of Fate and Expanding Integrations
Technical development this fall focused on completing Archive of Fate’s implementation, improving the user experience following launch, and preparing the product for broader ecosystem adoption. This season’s technical progress includes:
Archive of Fate launch completion: Finalized the planned implementation and successfully published Archive of Fate, bringing the project from internal testing into public availability. Following launch, the team addressed minor issues to improve overall stability and usability.
Improved product analytics: Introduced active user statistics and subsequently refined the daily active user calculation method, improving visibility into how users engage with Archive of Fate.
Enhanced inscription experience: Added clearer guidance throughout the inscription process, helping users better understand how to record their fate and navigate the game’s core features.
Front-end and UI refinements: Rolled out minor interface formatting and usability improvements to create a more polished experience for players.
Expanded ecosystem integration work: Continued technical collaboration with multiple external platforms, laying the groundwork for making Archive of Fate accessible across a broader range of Web3 environments.
Archive of Fate: From Internal Testing to Public Launch
One of ARPA Network’s most significant milestones this fall was the official launch of Archive of Fate, an AI-powered fate simulation game combining interactive storytelling, human decision-making, and cryptographically verifiable randomness.
Archive of Fate explores a different approach to AI-driven gaming. Rather than relying entirely on predetermined story paths or opaque random outcomes, the game combines AI-generated narration with choices made by players and randomness powered by ARPA Randcast.
Players navigate their own unfolding stories, make decisions that influence their journeys, and permanently record their outcomes through inscriptions. Randcast provides a verifiable source of randomness for the experience that enabling unpredictable events to be generated through cryptographic infrastructure rather than depending solely on opaque, application-controlled randomization. The result is an interactive experience that demonstrates how AI storytelling and verifiable randomness can complement one another.
The launch represents an important milestone for ARPA’s broader technology ecosystem. By integrating Randcast into an accessible, consumer-facing application, Archive of Fate offers a practical demonstration of how decentralized randomness infrastructure can power engaging experiences beyond traditional on-chain lotteries and gaming mechanics.
Growing Adoption and Community Engagement
Since its launch, Archive of Fate has attracted growing participation from the community.
Our latest product statistics as of October 2026, show:
Total Users: 13,821
Weekly Active Users: 1,307
Monthly Active Users: 6,255
ARPA AVS Growth Metrics
ARPA AVS continues to serve as a key component of our decentralized infrastructure, supporting the network through a broad base of stakers and participating operators.
Our latest network snapshot as of October 2026, shows:
Total Value Locked: $763 Million
Number of Stakers: 67.9K
Number of Operators: 15
The operator count remained steady at 15 across the season, while the network continued to maintain a substantial staker base. As decentralized infrastructure and restaking ecosystems continue evolving, ARPA remains focused on supporting a robust foundation for secure computation, cryptographic verification, and applications built on trustworthy decentralized services.
ARPA Governance Agent on MOSS AI
ARPA introduced a Governance Agent on MOSS AI, creating a new way for $ARPA holders to participate in the ecosystem. Through the agent, users can mint Agent shares, contribute to decisions surrounding Archive of Fate’s future direction, and earn $ARPA rewards through a mechanism offering a stated fixed 6% APY.
Ecosystem Integrations & Partnerships
This fall, ARPA Network expanded its ecosystem through collaborations spanning AI-powered gaming, agent governance, decentralized verification, and blockchain infrastructure.
ARPA Network × CARV Play: Archive of Fate is now live on CARV Play, introducing ARPA’s AI-powered fate simulation experience to the CARV ecosystem. Through this integration, users can explore interactive AI storytelling backed by Randcast-powered verifiable randomness.
ARPA Network × CARV Community Campaign: Building on our CARV ecosystem collaboration, we also launched a joint Archive of Fate campaign featuring a $200 USDC prize pool. A total of 20 winners receive 10 USDC each, with winner selection powered by ARPA Randcast.
ARPA Network × Metopia: We expanded our collaboration with Metopia through an Archive of Fate community quest, inviting users to explore the game, inscribe their fate, and participate in a reward campaign. The initiative featured a $240 reward pool alongside additional $ARPA incentives for the first 200 qualified participants. The collaboration helped introduce Archive of Fate to new users while encouraging hands-on interaction with Randcast-powered gameplay.
ARPA Network × LayerEdge: ARPA partnered with LayerEdge to explore the intersection of decentralized verification and cryptographic infrastructure. The collaboration focuses on the technologies needed to create more transparent, verifiable, and trust-minimized digital systems, reflecting a shared interest in reducing reliance on centralized assumptions across Web3 applications.
ARPA Network × SVP Chain: We partnered with SVP Chain to explore bringing ARPA Randcast to its ecosystem. The collaboration aims to support secure, tamper-proof randomness for games, AI applications, and other on-chain use cases. By exploring integrations with emerging blockchain infrastructure, ARPA continues expanding the potential environments in which developers can leverage verifiable randomness.
Together, these collaborations demonstrate the versatility of ARPA’s underlying technology. As the boundaries between AI agents, blockchain applications, and interactive experiences continue to blur, we believe cryptographic verification will become increasingly relevant to how these systems operate.
Thought Leadership & Media
Alongside product development and ecosystem expansion, ARPA Network continued contributing to broader conversations around AI storytelling, verifiable randomness, and the growing importance of trust in digital systems.
Business Insider Feature: Business Insider covered the official launch of Archive of Fate, highlighting its combination of AI-powered fate simulation and Randcast’s verifiable randomness. The feature introduced the broader audience to a new application of ARPA’s cryptographic infrastructure, demonstrating how decentralized randomness can support interactive experiences driven by both AI and player decisions.
Gamepost.io Feature: Gamepost explored how Archive of Fate combines AI-generated storytelling, player agency, and Randcast-powered randomness to create engaging and verifiably fair gaming experiences.
Street Insider Feature: Street Insider highlighted Archive of Fate’s approach to interactive storytelling, examining how AI-generated narratives, meaningful player choices, and verifiable randomness can work together to shape each player’s journey.
We also continued publishing educational content and research perspectives to help the broader community better understand the ideas and technologies behind ARPA’s ongoing development. Some of our latest publications include:
Can AI Create Meaningful Stories Without Giving Up Human Agency?: Our Medium article explores how AI-generated storytelling can coexist with meaningful human decision-making. Using the concepts behind Archive of Fate, the article examines how player agency and verifiable randomness can shape dynamic narratives without reducing users to passive participants.
The Idea Behind Archive of Fate: An exploration of the product philosophy behind Archive of Fate and the decision to combine AI-powered narratives with cryptographically verifiable randomness.
Cryptographic Verification: Why It Matters: Our educational content explored the growing importance of cryptographic verification across AI, randomness, privacy, and decentralized applications.
Through continued education and media outreach, ARPA aims to make advanced cryptographic technologies more accessible and understandable to developers, businesses, and the broader Web3 community.
Looking Ahead
Fall 2026 has marked an important transition for ARPA Network, as several initiatives that were previously in development have now progressed into live products and broader ecosystem integrations.
The launch of Archive of Fate stands out as a particularly meaningful milestone. What began as a new product concept during the summer has evolved into an interactive application with more than 13,000 users, demonstrating how ARPA’s verifiable randomness infrastructure can support consumer-facing experiences built around artificial intelligence and human choice.
At the same time, our growing collaborations with CARV, Metopia, MOSS AI, LayerEdge, and SVP Chain reflect the expanding opportunities for ARPA’s technology across gaming, AI agents, decentralized governance, and trust-minimized infrastructure.
Looking ahead, we will continue refining Archive of Fate, exploring additional integrations, and broadening the adoption of Randcast across emerging applications. We also remain committed to strengthening our decentralized infrastructure and advancing the wider conversation around verifiable computation, secure randomness, and privacy-preserving technologies. Thank you to our community, developers, stakers, operators, partners, and supporters for being part of this journey. We look forward to continuing our progress together.
About ARPA
ARPA Network (ARPA) is a decentralized, secure computation network built to improve the fairness, security, and privacy of blockchains. The ARPA threshold BLS signature network serves as the infrastructure for a verifiable Random Number Generator (RNG), secure wallet, cross-chain bridge, and decentralized custody across multiple blockchains.
ARPA was previously known as ARPA Chain, a privacy-preserving Multi-party Computation (MPC) network founded in 2018. ARPA Mainnet has completed over 224,000 computation tasks in the past years. Our experience in MPC and other cryptography laid the foundation for our innovative threshold BLS signature schemes (TSS-BLS) system design and led us to today’s ARPA Network.
Randcast, a verifiable Random Number Generator (RNG), is the first application that leverages ARPA as infrastructure. Randcast offers a cryptographically generated random source with superior security and low cost compared to other solutions. Metaverse, game, lottery, NFT minting and whitelisting, key generation, and blockchain validator task distribution can benefit from Randcast’s tamper-proof randomness.
For more information about ARPA, please contact us at contact@arpanetwork.io.
Learn about ARPA’s recent official news:
Twitter: @arpaofficial
Medium: https://medium.com/@arpa
Discord: https://dsc.gg/arpa-network
Telegram (English): https://t.me/arpa_community
Telegram (Turkish): https://t.me/Arpa_Turkey
Telegram (Korean): https://t.me/ARPA_Korea
Reddit: https://www.reddit.com/r/arpachain/

Artificial intelligence is rapidly becoming part of how games are created. Much of the early attention has focused on the most visible applications: AI-generated dialogue, character art, environmental assets, music, quests, and dynamically written stories. These tools can help developers produce richer worlds while giving players experiences that would be difficult to script manually. But the more important shift may come when AI moves beyond creating game content and begins influencing game logic itself.
Imagine an AI system that determines how non-player characters react to you, decides which events appear in your world, adapts a game’s difficulty to your behavior, generates rewards based on your actions, manages autonomous agents, or influences how a simulated world evolves over time. In these cases, AI is no longer simply creating something for the player to look at. It is participating in the systems that determine what happens to the player. That creates a fundamentally different trust problem.
When a game is governed primarily by fixed rules, players can often develop an intuitive understanding of how the system works. They may not know every line of code, but they know there are rules underneath the experience. As AI becomes more involved in determining outcomes, those rules can become harder to see. Decisions may be generated dynamically and influenced by models whose internal reasoning is not directly observable.
AI Is Moving From Game Content Into Game Logic
Generative AI entered gaming largely through content creation. Developers could use models to generate concept art, dialogue, character backgrounds, environmental assets, or variations of existing content. These use cases are powerful, but they generally sit on top of a game’s underlying systems. AI-native games can go much further.
A sufficiently dynamic game could allow AI to interpret player actions and decide how the world responds. Instead of selecting one of five predetermined NPC reactions, a model could create a response based on the character’s history, personality, previous interactions, current world conditions, and the player’s behavior. In simulated worlds, AI could potentially influence entire chains of events. Characters could make decisions independently. Economies could evolve. Alliances could emerge. Stories could take directions that neither the player nor developer explicitly planned.
This is part of what makes AI gaming so interesting. The experience can become less like moving through a tree of prewritten possibilities and more like interacting with a system capable of continuously creating new ones.
But greater flexibility also means greater opacity. The more AI influences game logic, the less sufficient it becomes to simply say that the system made the decision. Players may eventually want to know why they should trust the system in the first place.
The Black-Box Problem in AI-Powered Games
Traditional games already contain black boxes. Players rarely inspect a game’s source code to verify that every mechanic behaves exactly as advertised. In most Web2 games, trust rests primarily with the developer. Players assume that probabilities, matchmaking systems, reward mechanics, and backend calculations are being implemented fairly because the game operator says they are. That model works reasonably well when trust in the developer is part of the relationship.
Web3 began from a different premise: important digital outcomes should not always require users to blindly trust a centralized intermediary. Smart contracts made it possible for certain rules to be executed transparently on-chain, allowing users to independently verify how assets move and how predefined conditions are enforced.
Randomness quickly became one of the clearest examples of why this matters. If a game developer privately generates a random number on a centralized server, players have no independent way to know whether the result was actually random, selectively rerolled, or manipulated. This becomes particularly important when randomness determines valuable rewards, rare traits, competitive outcomes, or other high-stakes results.
ARPA’s Randcast was built around this problem. Powered by ARPA Network, Randcast provides on-chain verifiable randomness through a group of nodes that jointly generate BLS threshold signatures. These signatures serve as the seed for randomness that can be verified on-chain, so players do not have to trust a single party to generate the number privately. AI introduces a related but significantly broader black box.
What Trust Infrastructure for AI-Native Games Might Look Like
The future of trustworthy AI gaming will probably not involve putting an entire AI model on-chain or generating proofs for every line of dialogue. Instead, verification can become selective. Different layers of a game may require different levels of trust.
Low-stakes generative content can remain flexible and largely off-chain. Other systems may deserve stronger guarantees. Random draws that determine rare items could use verifiable RNG. AI decisions that allocate scarce rewards could use verifiable computation. Persistent autonomous agents handling digital assets might require proofs that certain rules were followed.
This suggests that the infrastructure of AI-native games could become modular. One layer provides randomness. Another provides AI inference. Another verifies computation. Another settles ownership and economic outcomes on-chain. Rather than forcing every part of the experience into the same trust model, developers can determine which systems require cryptographic guarantees and which can remain conventional.
Such an architecture could preserve what makes AI appealing — speed, flexibility, creativity, and dynamic behavior — while adding stronger assurances where fairness and value are actually at stake.
Archive of Fate: One Piece of the Puzzle Today
This is where Archive of Fate offers an early and tangible example. Archive of Fate is ARPA’s AI-powered fate simulation game. Players enter a random world, choose talents, and experience a life shaped by a combination of player decisions, AI-generated storytelling, and verifiable randomness powered by Randcast.
The game is interesting because it brings several of these ideas together in an experience that is easy to understand. The player’s decisions matter, but the player does not control everything that happens. AI helps transform events and choices into a narrative. Randomness introduces circumstances the player did not select.
That randomness is also not meant to exist as an invisible backend mechanic controlled solely by the game operator. Randcast provides a verifiable source of uncertainty, demonstrating how cryptographic infrastructure can become part of an AI-generated experience without necessarily becoming the focus of the experience itself.
Archive of Fate does not mean that every AI-generated sentence or every narrative decision inside the game is cryptographically verified. Verifiable randomness solves one specific trust problem: the uncertainty shaping the experience can come from infrastructure designed to be independently verifiable rather than from a privately controlled RNG.
Fairness in AI-Native Worlds
AI may make games more unpredictable, personalized, and dynamic than anything that came before. But unpredictability creates a paradox. Players want to be surprised by the game. They do not want to suspect that the game secretly changed the rules.
A game can be opaque enough to remain mysterious while still providing guarantees about the systems that matter. Players do not need to know what will happen next, but they may increasingly expect confidence that whatever happens was produced according to the rules they agreed to. Verifiable randomness gives us one version of that model today. Verifiable computation and verifiable AI point toward what could come next.
Archive of Fate sits at the intersection of those ideas. It combines AI storytelling, human choice, and Randcast-powered verifiable randomness to explore what happens when neither the player nor the machine completely controls the outcome. For ARPA, it also serves as something broader: a practical demonstration of how cryptographic trust infrastructure can support experiences that feel creative rather than purely technical.
About ARPA
ARPA Network (ARPA) is a decentralized, secure computation network built to improve the fairness, security, and privacy of blockchains. The ARPA threshold BLS signature network serves as the infrastructure for a verifiable Random Number Generator (RNG), secure wallet, cross-chain bridge, and decentralized custody across multiple blockchains.
ARPA was previously known as ARPA Chain, a privacy-preserving Multi-party Computation (MPC) network founded in 2018. ARPA Mainnet has completed over 224,000 computation tasks in the past years. Our experience in MPC and other cryptography laid the foundation for our innovative threshold BLS signature schemes (TSS-BLS) system design and led us to today’s ARPA Network.
Randcast, a verifiable Random Number Generator (RNG), is the first application that leverages ARPA as infrastructure. Randcast offers a cryptographically generated random source with superior security and low cost compared to other solutions. Metaverse, game, lottery, NFT minting and whitelisting, key generation, and blockchain validator task distribution can benefit from Randcast’s tamper-proof randomness.
For more information about ARPA, please contact us at contact@arpanetwork.io.
Learn about ARPA’s recent official news:
Twitter: @arpaofficial
Medium: https://medium.com/@arpa
Discord: https://dsc.gg/arpa-network
Telegram (English): https://t.me/arpa_community
Telegram (Turkish): https://t.me/Arpa_Turkey
Telegram (Korean): https://t.me/ARPA_Korea
Reddit: https://www.reddit.com/r/arpachain/