0xSorcerer

💵 Another 1,027,640 $DINO (0.1% of Total supply) was bought and burned. Proof here: solscan.io/tx/4HpKtTAEX6n… Consistency is the key. We have already burned ~143m $DINO (14.3%) since launch

Let the people Earn. Upshift is the Earn provider for @useTria, a crypto neobank with the lowest fees across 150+ countries. Put your BTC and USDC to work.

太猛了， $RIVER 一周 830% 的涨幅，最高价格 $25 全网交易量 30 亿美金，交易量仅次 BTC、ETH；超过 DOGE、SOL coinglass.com Binance 上 24 小时交易量最高达 17 亿美金 t.me/theblockbeats/… River @RiverdotInc TGE后还获得了来自由 Arthur Hayes @CryptoHayes 创立的 @MaelstromFund 的战略投资，准备构建第一个链抽象稳定币系统，这项战略投资将支持该系统的持续发展及其在数字资产领域的扩展。 官方现在还有2个活动可以参与 1️⃣预测 $River 在1月 15日时的价格，最接近的20名用户每人获得101个 $River ，活动1/12截止。 要求：推特发布有关 $River 有关内容并写出你预测的价格，并 @RiverdotInc 和 @River4FUN 🔗填表链接：docs.google.com/forms/d/e/1FAI… 2️⃣ 创作者活动中前100名每人可获得 20.26u

If Crypto Taxation Is Changing, @KaitoAI Rewards Must Change Too As government guidelines around crypto taxation become clearer, the key question is no longer simply “how much did you earn?” but rather “how did you acquire it?” In this context, I believe Kaito’s reward structure also needs to be reconsidered. The direction I want to propose is straightforward. Not token airdrops, but community sale participation rights. Airdrops vs. Community Sales: The Tax Structure Difference Airdrops are structurally close to uncompensated acquisition. In Korea, recent tax consultations repeatedly suggest that receiving listed tokens via airdrops may trigger taxation at the time of receipt. Community sales are fundamentally different. - Paid acquisition - A clearly defined cost basis - Taxation based on capital gains at the time of sale In other words, airdrops can introduce tax risk the moment tokens are received, while community sales are typically taxed only when actual profit is realized. This difference is not just about tax rates. It meaningfully changes the user experience of participation. Why Zama’s Community Sale Matters A real-world example that demonstrates this shift clearly is @zama . Zama designed its community rewards not as free airdrops, but as community sale rights for OG NFT holders. The key point is not simply that participants were able to buy tokens. A Meaningfully Lower Entry FDV vs. Market Expectations Zama’s community sale pricing was based on the public auction floor price. This means participants were not buying at the inflated FDV often implied by VC rounds, but instead entered at prices discovered by the public market. As a result, the community was able to take positions at significantly lower prices and a genuinely lower FDV than VCs. From the community’s perspective, this was not “VC pricing,” but participation at a far more conservative valuation. This was neither a simple discount nor a conventional airdrop. For the community: access at a lower FDV For the project: long-term holder alignment and fair distribution The incentives were aligned on both sides. Why This Structure Also Benefits Projects Community sales are not only advantageous for participants. From a project’s perspective: - Free token distribution → high immediate sell pressure - Paid acquisition → higher likelihood of long-term holding The difference is material. Airdrops often lead to disputes about “who received more,” while community sales make it clear who participated, under what conditions, and at what cost. Zama used this structure to elevate early supporters from airdrop recipients to genuine early-stage stakeholders. A Natural Fit from a Korean and U.S. Tax Perspective In Korea, airdrops interpreted as uncompensated acquisition continue to raise concerns around taxation at receipt. In the U.S., there is also precedent for treating airdrops as taxable income, leading to recurring disputes over timing and valuation. Community sales, by contrast, align closely with traditional asset taxation frameworks: - Clear purchase price - Taxation at the point of disposal For this reason, this approach is increasingly favored not only in Korea and the U.S., but across many jurisdictions as a broader trend. Why This Makes Sense for Kaito Kaito already has the necessary infrastructure. It collects contribution data It ranks and scores participants It connects projects and users through a launchpad-like structure In practice, the “yapping + launchpad” model has already been tested through projects such as Momentum, Falcon, and Boundless. If rewards were shifted from airdrops to community sale participation rights, Kaito rewards would evolve from simple payouts into a curated early-access track for verified contributors. One-Sentence Summary Kaito rewards should evolve from distributing free tokens to granting contributors the right to participate in projects at meaningfully lower prices and genuinely lower FDVs than VCs. Zama has already demonstrated that this is possible. Now, it may be time for Kaito to turn this approach into a standard.

< 아쉽게도 100 yaps 기준은 변동될 것 같지는 않네요 > @Kindred_AI 디스코드를 쭉 둘러보니 파운더와 유저들간의 대화가 오갔는데 요약 해드릴게요. - Kaito에서 시빌과 봇을 걸러내기 위해 실제 기여자를 우선시 하기 위해 이러한 조치를 취했다 함 - Max는 캠페인 초반부터 봇들에 대한 불만이 많았기에 Kaito가 이러한 조치를 취한 것을 긍정적으로 보고 있다고 함과 동시에 균형을 위해 기준 설정의 추가 조정 필요성 언급 - 유저들이 수개월 간의 노력을 어필하자, 그는 Kaito가 yaps 수치만 측정하는 것이 아닌, 평판/온체인 사용 등 여러 요소가 반영되는 구조라고 함 - 향후 Klara, SATO NFT 보유자 등을 반영할 수 있는 배지 시스템을 도입할 계획 - 프로젝트 별 기준을 낮추길 원한다는 유저 의견에 기준을 낮추면 봇들에 대한 불만이 가중될 수 있어 기준이 다소 높더라도 봇을 쳐내는게 합리적이라 함 👉 결론적으로 뱃지 시스템이 현실적인 보완책으로, 이번 주나 다음 주에 Kaito와 콜을 잡고 뱃지 시스템을 구체화할 예정이라고 합니다. 아쉽게도 자체 리더 보드나 기준치 100 yaps에 대한 변경은 없을 것 같습니다 ㅠㅠ 참고로 오늘 카이토에서도 19시경 올린 트윗에서 당분간은 이 업데이트를 감수해야 한다고 밝혔습니다. 일단 임계치 없는 프로젝트와 얍스 파밍을 위해 방향 선회들을 하셔야 할 것 같습니다. 최대한 서포트 해볼게요!! 모두 화이팅입니다. 💪

Happy New Year Fam🩵 2026 is going to be full of gBillions @billions_ntwk 🦸🏻‍♀️

Spot simply means price right now. No futures, no options, no narratives just the asset trading at its current market value. Spot forecasting is about one thing: trying to anticipate where that price goes next, whether minutes ahead or months out, using data, ML, and AI. This becomes powerful in DeFi. Spot forecasts aren’t just for trading bots. They can drive smarter vault strategies, dynamic exposure management, and more adaptive yield aggregation. Instead of static allocations, protocols can rebalance based on expected relative performance across pairs like ETH/USDT or SOL/ETH, reducing downside risk and improving capital efficiency. @OpenGradient takes this further by making spot forecasting verifiable and composable. Their example SUI/USDT models (30-minute and 6-hour) show how OHLC data can be transformed, filtered, and optimized using transparent ML pipelines all runnable on decentralized infrastructure. The real unlock is integration. Protocols like DoubleUp already use OpenGradient’s spot forecasts to power AI-driven prediction markets, proving these models aren’t theoretical they’re live. Spot forecasting isn’t about perfect predictions. It’s about better decision-making. And OpenGradient is building the rails to make that trustless, onchain, and usable.