I initially registered for the new Creator campaign taking place at Sight @sight_hood. Since this appears to be a project related to prediction markets, I’m proceeding cautiously due to regulatory concerns in Korea. Nevertheless, as I want to monitor the prediction market space itself, I decided to participate—but without clear information on reward amounts or detailed terms, I won’t be able to properly evaluate it until those details are explicitly provided.
1. The quantum threat is not a matter of “one-time replacement,” but rather a transition of cryptographic systems. I’ve heard many times that quantum computers could threaten cryptocurrencies, but I only had a vague understanding of which cryptographic algorithms are actually in use and what needs to be changed—so I’ve long wanted to study the issue of quantum resistance in crypto. Starting with recent materials from Starknet @Starknet, I began reading up on the topic—and it’s not easy! 😅 Still, by tracing where cryptography is applied, I’ve gradually realized that I need to examine not just account signatures, but also zero-knowledge proofs for verifying computations, data storage, and network connectivity. First, while reading Starknet’s materials, I clarified the distinction between account signatures and STARK proofs. STARK proofs verify whether computations were performed correctly using a hash-based method. Since account designs allow users to change the signature verification rules used to approve transactions, they constitute a separate security domain—meaning one cannot infer the security properties of one from the other. Therefore, simply using STARKs does not guarantee that user accounts are quantum-resistant. I also noticed that Quantum Hub treats account signatures and Ethereum dependencies as separate concerns. In beginning this study, I’ve now formed one key question (and just having a question makes me feel proud of myself): When it becomes necessary to change cryptographic algorithms, how flexible can each component be adjusted? By examining Starknet’s published rationale alongside its remaining challenges, I believe I can gradually uncover the answer. I’ll take this opportunity to study step by step.
Contact the Kaito team!! @KaitoAI @jiwoo_jun When accessing the Kaito Studio airdrop, most past projects are displayed as “Claimed” or “TBA.” Clicking “Claim” connects to the Kaito wallet. StandX, which currently requires claiming, is experiencing the same issue. Could this be a problem?
Will posting exclusively in Korean on the Korea allocation project be effective? If you check the accounts directly, you’ll notice many users who are likely not based in Korea still write in Korean when commenting on projects with Korea-specific allocations. In the past, there have been cases where users with Korean accounts were not classified as being in Korea; after multiple inquiries to Kaito, their region was eventually corrected. However, any activity prior to this correction was excluded from the Korea allocation. Kaito Social clearly displays your registered region. Please check this carefully if you’re a user outside Korea.
ORBS Daily Briefing | Monday, November 2, 2026, 08:00 KST 💰 Price Upbit: ₩8.48 (-1.51% vs. previous day) Global: $0.00633 (24h -1.1% / 7d -4.3%) 24h Trading Volume: ~$0.64M (CoinGecko) | Upbit trading value ~₩65M Market Cap Rank: #638 (Market Cap ~$31.7M) 📈 Market Trends Short-term: Partially retraced weekend gains; trading within a narrow range of ₩8.48–₩8.67 on Upbit during the day. Long-term: 30d -13.4% / 60d +6.1% / 90d ~+11.7% / 1y -50.1% Upbit 52-week Range: ₩7.10 (Aug 18) ~ ₩23.70 (Feb 28) Summary: Trading has been range-bound with declining volume amid a steady one-month downtrend. 🛠 GitHub Development Deployed bug fixes for spot-ui swap flow (spot-ui 2.1.26, spot-react 2.1.22, liquidity-hub-sdk 1.1.1) One commit to organize QA documentation in the spot repository; updated orbs-spot No merged PRs or official releases 📰 Media No new articles in the past 24 hours. Recent article: Financial News interview with Hammer CEO (Oct 25): "The Key to Democratizing DeFi Is Accessibility" https://t.co/HS8KXrbv4G 📢 Official Updates @orbs_network: No new posts (last: Halloween greeting on Oct 30) https://t.co/Lavl2BTYw6 Blog: No new posts (last: CEO appointment on Sept 10) ⚠️ This content is for informational purposes only and does not constitute investment advice. Investment decisions and responsibilities rest solely with the individual.
Cherico’s moves are definitely worth paying attention to!! Many crypto investors have already entered the stock market. However, from my perspective, most seem to have entered during periods of high volatility—similar to how KOSDAQ/NASDAQ pumped up XXX in the past—driven by FOMO. I believe this is fundamentally different from investing with clear direction, as Coco does. Currently, I’m not investing directly in individual stocks. But that doesn’t mean I’ve stepped away from traditional finance. The reason is that I currently manage hundreds of millions in retirement assets and am actively rebalancing investment portfolios to maximize returns. For example, I’ve moved a significant portion of my funds from KOSDAQ/NASDAQ-related index products into cash equivalents near their recent highs—and I’m now waiting for the right entry point. Additionally, once the assets accumulated in my newly opened wallet reach $10,000, I plan to deploy them directly into investments. (Yaping, please help!! haha) I still need to educate myself further on tokenization and derivatives—I’ll be honest, I’m not yet sure how best to approach them. I’m striving to view investing not merely as a way to make money, but as a pathway to better understand the world. How about you?
📅 ORBS Daily Briefing | November 1, 2026 (Sunday) 08:00 KST 💰 Price Upbit: ₩8.56 (+1.66% vs. previous day) Global: $0.00640 (24h +3.3% / 7d -3.4%) 24h Trading Volume: ~$8.4M | Upbit Trading Value: ~₩117M Market Cap Rank: #633 (Market Cap ~$32M) 📈 Market Trends Short-term: 24h rebound, 7d slight decline. Upbit intraday high: ₩8.70, low: ₩8.35 Long-term: 30d -11.7% / 60d +6.0% / 1y -49.3% (Upbit-based; 90d ~+11.6%) Upbit 52-week Range: ₩7.10 (Aug 18) ~ ₩23.70 (Feb 28) Summary: A modest rebound over the weekend amid a month-long downtrend. 🛠 GitHub Development No merges or new releases since yesterday’s briefing due to the weekend. One dependency update PR opened for website-next (Next.js version upgrade, automated). Most active repositories in the past week: spot, spot-ui, orbs-explorer, website-next. 📰 Media No new articles in the past 24 hours. Recent article: Hans Kyungae interview with CEO Hammer on Oct 22: “We aim to bring institutional capital on-chain.” https://t.co/bYTBWIDBj7 📢 Official Updates No new posts from @orbs_network since yesterday’s briefing. Most recent post: Halloween greeting (Oct 30) https://t.co/Lavl2BTYw6 No new blog posts (most recent: CEO appointment on Sept 10). ⚠️ This content is for informational purposes only and does not constitute investment advice. All investment decisions and responsibilities rest with the individual.
1. Make prediction markets easier on mobile Perhaps the next step for prediction markets is making them easily accessible and participable at the exact moments users need them. Prediction markets allow people to trade on the outcomes of future events, with market prices reflecting participants’ collective expectations. Given their ability to turn topics of public interest—ranging from sports events to crypto and current affairs—into decentralized markets free from centralized control, I believe this is a highly promising area within crypto. However, discussing Polymarket and prediction markets in Korea requires caution due to regulatory and availability constraints. I myself have been hesitant to write about this openly, but this time, rather than encouraging usage, I aim to explore the experience the product seeks to create. Bagel @bagel_win is an app designed to help users discover and engage with Polymarket’s markets and liquidity directly on mobile. Within the app’s “For You” feed, you can find trending markets in sports, esports, crypto, and live events. The interface is clearly tailored for mobile use, making market discovery intuitive from the start. Once you find a market of interest, you can follow other predictors, instantly copy their positions, or join event-specific discussions—adding a strong social layer to the experience. Inside the app, AI insights serve as reference material when evaluating markets, and users can choose their participation method among market orders, limit orders, or combo orders. The Rewards Center lets you track commissions earned through referrals and copy trading, as well as view badges and VIP levels earned through activity. Rewards and tiers are subject to specific eligibility criteria. What’s compelling about Bagel is how it seamlessly connects market discovery, social features, information access, order execution, and rewards into a unified mobile experience. This approach has the potential to significantly lower the barrier to entry for new users exploring prediction markets. ✔️ Please verify applicable regulations and service availability in Korea before using.
Chapter 11: Will an Agent’s History Carry Across Chains? I suddenly wondered whether an AI agent’s identity and work history could follow it across multiple blockchains. If users must connect separate accounts on each chain, they may be forced to re-verify the agent’s accumulated records on every network individually. TermiX @termix_ai currently operates on BSC and Base, and its user documentation explicitly states that each chain must be connected separately. Of course, the AACP whitepaper does include cross-chain reputation bridging between Base, BSC, and Ethereum in its roadmap. However, this remains a proposed plan outlined in the whitepaper and should be distinguished from already implemented features. In my view, the key to multi-chain expansion is not simply transferring records from one chain to another (that’s merely a technical direction). What truly matters is: Agents must be verifiably recognized as the same entity across different networks, and the results of task settlements and dispute resolutions must be consistently and reliably reflected. If the process of replicating records undermines trustworthiness, then expanding chain support holds little real value for users. If the so-called (a term I coined) “Agent Reputation Exchange” continues to expand across networks, I’d like to see whether it builds a structure that verifies the origin and authenticity of its records.