A Note to Our Users Manus will soon resume operating as an independent company. As part of this transition and to comply with regulatory requirements in specific jurisdictions, some users will need to back-up their data before 7:59 a.m. on August 23, 2026 (SGT) and then begin restoration starting from 8:00 a.m on August 25, 2026 (SGT) to ensure normal usage. More information can be found in the blog post and we’ve provided detailed guides, including to understand if you’re affected, in our Help Center For affected users, these are the key details: We’ll notify you by email and in the Manus app. If you signed up with an Apple ID or Facebook account, please check your in-app notifications. Back up your data from now until August 23 (SGT) before 7:59 a.m. You can back up more than once, you can create new data after backing up, just run it again. Starting from 8:00 a.m. on August 25 (SGT), the restoration portal will open. Restore your data and pick up right where you left off. Affected users will not be charged during the transition, and we will be providing welcome back bonuses. If your account is not affected, you don’t need to do anything - keep using Manus as usual. You’ll get an in-app notification confirming this. For those affected, we know this is disruptive and we’re sorry for the inconvenience. Supporting you through it is our top priority. In addition to the full guides in the Help Center, our customer service team is ready to help 24/7 with any questions. As we look ahead, we couldn’t be more excited by the future. We’re preparing a series of new features that will push the boundaries of what’s possible for general AI agents once again. Thank you for being with us as we go through this process together. The best is still ahead.

5500分之1的中签率🥲🥲 宇树科技：网上发行最终中签率为0.01809759% 网下申购日为 8 月 10 日，缴款日为 8 月 12 日。网上申购代码为“787836”，证券代码及网下申购代码为“688836”。 8 月 10 日申购完成后，将于 8 月 12 日公布中签结果，可通过券商交易软件或上交所官网查询，中签投资者需要于 8 月 12 日完成缴款。 本次网上申购中一签为 500 股，市场分析预计中签投资者大概需要缴款 7.54 万元，属于年内打新门槛较高的新股。 此前报道，宇树发行价 150.8 元/股，发行 4044.64 万股，占发行后总股本的 10%，募资约 60.99 亿，比原计划的 42.02 亿超募 45.15%。从 3 月 20 日受理到过会只用了 73 天，是年内最快纪录。 $unitree

Claude's watermark probably doesn't work how you think. As the CTO of GPTZero, I'll explain how Anthropic, Google and OpenAI are building text watermarking in this brief explainer and whether it can be defeated. Almost all forms of watermarking that are fast and cheap enough for a frontier lab have the same formula, following the KGW method: In generation: 1. Let's say you've generated n tokens so far. Take those n tokens + a secret key to generate a random hash 2. Use that hash to randomly reweight the probabilities for the n+1 token, and then sample from that new distribution. In the simple case, you could split 50% of all English words into a green or red set based on your hash, and boost the probability of words in the green set. For watermark detection: 1. For each token, see if it was in the green or red set. 2. To do this, recreate the hash based on the secret key and the text preceding the current token. Then, recreate the green and red set of words. 3. Once you've checked all the words in the text, if the next token is selected disproportionally from the green set more than 50% of the time, you claim the text has the watermark. I can tell you want to ask the following: 1) Isn't it easy to mess up the hash if you paraphrase the text? The answer is mostly yes, however, you can use a statistical model to get your hash instead of a deterministic function (SIR, Adaptive Watermark). Since the entire watermark is probabilistic, this is fine. 2) Doesn't this make the text much worse? The answer is yes, it does - Yes, it does – but for most people, it's imperceptible (Google claims in human feedback study with 20,000 texts), since there are exponentially many ways to write the same paragraph. DiPmark does something more sophisticated to avoid shifting the text distribution on average. Of course, watermarks fail on short text or highly predictable texts like "2+2=4". 3) Shouldn't it be easy to figure out the green and red sets? The answer is no. You would need an exponentially large number of samples from the watermarker to reconstruct those sets exactly, but it's a risk if the detector is open to the wild (Watermark Stealing) Still, there are couple challenges that a frontier lab needs to overcome: 1. Their watermark needs to work token-by-token because they are streaming their text to users. Many watermark methods plan sentences or paragraphs at a time, or change the text after its entirely written, in order to make their watermark robust to paraphrasers, and a frontier lab cannot afford to do this yet (SemStamp, PostMark) 2. If the secret key leaks, the watermark is busted. To avoid a large blast damage from this, you need to have a couple secret keys in rotation. 3. There are some texts, like code, that cannot be arbitrarily changed, otherwise the code will break. In those cases, the watermark needs to selectively change words in parts of the text that can tolerate synonyms (i.e. like variable naming) - see SWEET, EWD, Invisible Entropy. 4. They will need to educate their users on how to deal with false positives and false negatives of a detector, which is a big challenge (one we put a lot of effort into) So, how do I see this playing out in the next 6 months? 1. If Anthropic releases the watermark detector publically, I think they defeat their own watermark. People find reliable watermark removal strategies by testing against Anthropic (AI detectors like GPTZero have an advantage here because they can train against these adversaries once they become popular). 2. If they keep the detector private to the government, like Google has done, it's "safer". However, there are some papers showing trained approaches that work robustly to zero-shot break watermarks without any data, simply because they try to write the text just like a human (Zhang et al. 2024, Watermarks in the Sand). Also, making your detector makes it battle-tested and stronger long-term (my experience). 3. In my testing, the watermarks don't survive intense paraphrasing (especially if you combine word choice and syntax attacks), or human text substitution (rewrite your AI text by plagiarizing human authors). The free paraphrasers I've tried have quickly bypassed Google Deepmind's SynthId for what it's worth. 4. All-in-all, frontier labs are likely okay with this because they expect most users to not attack the watermark, and also because they + European regulators likely don't care past a certain point - its good enough. 5. Overall, I think users of frontier LLMs will not really care about this, because 1) they don't realize watermarks are there, 2) EU will force everyone to conform, 3) this seems more like regulatory hoop-jumping than an earnest effort from frontier labs to expose LLM use Lastly, people's first concern shouldn't be watermarking, it should be AI detectors! If you're posting, "its not X, its Y!!", I don't think the watermark is going to make a difference :)

WHALE ACCUMULATES $170M ETH An Ethereum whale accumulated and withdrew another 50K $ETH (~$93.6M) from Binance. Total withdrawals have now hit 90K $ETH (~$170M), with 40K $ETH already staked.

We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis. It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%.

我是谢家印，Bitget 大中华区负责人。加入 BG 近3年我一直把自己当成合伙人处理业务，并致力于带领 Bitget 向头部大所看齐。我常对自己说，人嘛总得有点梦想才有机会实现自己的价值。我疯狂地热爱 BG，因为价值观让我们走到一起。不推诿不拖拉不逃避，是 Bitget 面对用户的坚定承诺。 昨天 $TUT 等3个币对标记价格异常给我们用户带来近4000万美元损失，Bitget 补偿。我们将以用户昨天 15:00 的账户权益作为计算基准进行补偿，价格异常期间导致我们用户空仓被强平，将按照15:00 的账户权益进行补偿。 感谢大家对 BG （Bitget）的信任。这个世界本就没有完美的人，没有完美的方案，也没有完美的交易所。交易市场瞬息万变，顺境看产品，逆境看担当。我想你们选择 Bitget 最重要理由是，当真正遇到问题的时候有人回应，有人解决、有人负责、有人兜底。 作为Bitget 的成员，我和我的团队随时在，一直在。过去3年我一直说 Bitget 只做最有温度的交易所，来了就是VIP。还是那句话，我的用户我保护。不论你是散户、VIP 还是机构客户，你永远可以信任BG（Bitget）。 后续复盘不会停止，产品与机制也需要持续迭代。感谢你的监督、反馈与包容。 谢家印 8月10日

TRUMP MEDIA SELLS EARLY ACCESS TO MARKET-MOVING POSTS Trump Media is reportedly charging trading firms up to $1.2 million annually for faster access to President Trump’s Truth Social posts. The service could carry significant market value: a recent Trump post canceling planned Iran strikes helped send WTI crude down roughly 5% in one session. The arrangement is drawing scrutiny over the advantage traders could gain from receiving potentially market-moving presidential announcements early.

🔥🤖宇树科技今日开启打新，单签收益或超20万元，中签率低于长鑫科技 8 月 10日，宇树科技开启打新。 宇树科技 IPO 发行价为 150.8 元/股，投资者中一签需缴款约7.54 万元。 本次IPO，宇树科技对应市值610亿元。按2025年盈利推算，宇树科技的发行市销率为35.89倍，发行市盈率为219.23倍。 @tradexyz 上，宇树科技（ $UNITREE ） IPO 前永续合约最新报 86.4美元，约合 583元人民币；对应市值约 349亿美元，约合 2355亿元人民币。 💸若按 最新价格计算，宇树科技一签价值约 29.14万元，单签潜在利润约合 21.6万元。 不过宇树科技的潜在打新收益可能更高。2026年以来，科创板新股首日平均涨幅466.61%，按此推算，宇树科技单签盈利可达35.18万元。 此外，多家券商综合测算显示，宇树科技预计中签率在万分之二至万分之三之间，远低于长鑫科技0.47%的中签率水平。

🔥🤖宇树科技今日开启打新，单签收益或超20万元，中签率低于长鑫科技 8 月 10日，宇树科技开启打新。 宇树科技 IPO 发行价为 150.8 元/股，投资者中一签需缴款约7.54 万元。 本次IPO，宇树科技对应市值610亿元。按2025年盈利推算，宇树科技的发行市销率为35.89倍，发行市盈率为219.23倍。 @tradexyz 上，宇树科技（ $UNITREE ） IPO 前永续合约最新报 86.4美元，约合 583元人民币；对应市值约 349亿美元，约合 2355亿元人民币。 💸若按 最新价格计算，宇树科技一签价值约 29.14万元，单签潜在利润约合 21.6万元。 不过宇树科技的潜在打新收益可能更高。2026年以来，科创板新股首日平均涨幅466.61%，按此推算，宇树科技单签盈利可达35.18万元。 此外，多家券商综合测算显示，宇树科技预计中签率在万分之二至万分之三之间，远低于长鑫科技0.47%的中签率水平。

宇树科技：确定本次发行价格为150.80元/股 ，中一签利润预计17.44万元，8月10日开启打新 （⚠️打新网申中签率或仅0.03%，持仓超1600万元约可中一签） 根据最新公告，宇树科技科创板发行价确定为 150.80 元/股（对应发行估值 609.93 亿），而链上永续合约平台 盘前报价已飙升至 74美元（约合 492.75 元人民币，隐含总市值近 2,000 亿元）。 看看中签能赚多少： 💰 打新成本：一签（500 股）需缴款 7.54 万元 📈 开盘预期：若开盘锚定链上 74美元，开盘涨幅达 3.31 倍（上涨约231.2%） 💵 单签净赚：扣除缴款成本，一签预期纯利润高达 17.44 万元人民币 👥 全明星股东阵营：创始人王兴兴持股 31.29%；外部股东涵盖美团系（9.65%）、红杉中国（7.11%）、经纬创投（5.45%）、小米顺为（4.425%）、中信证券（4.49%），以及阿里、腾讯、字节跳动等巨头。