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The Ethereum Foundation forwarded tweets related to the privacy tool Kohaku, expressing support for the development of privacy-protecting wallet tools. In response to the attacks and exploits that occurred over the past week, the Ethereum Foundation pointed out that privacy and security should not be viewed as mutually exclusive goals. Setting privacy protection as a default feature helps reduce the risk of attackers exploiting users' on-chain historical records to carry out attacks.According to developer Jordan Enev, the Kohaku team is working to make privacy protection a standard feature of Ethereum. Currently, its SDK has integrated privacy protocols such as Railgun, Privacy Pools, and Tornado Cash, with development progress becoming increasingly mature, and they are calling for more wallets to promote related integrations.

Paradigm Chief Technology Officer Georgios Konstantopoulos tweeted that this week the EVM code generation (codegen) feature of Solar will be released, which is over 100 times faster than solc and can generate more gas-efficient bytecode without writing any assembly code.

Aave executed an adjustment to the USDT lending rate parameters in the Ethereum Core market at block height 26,241,799, lowering the rate inflection point from 94% utilization to 92%, causing borrowing costs to rise earlier when liquidity in the pool tightens. The new parameters are: optimal utilization rate 92%, base rate 0, first slope 4.5%, second slope 10%; the inflection point rate is 4.5% APR, reaching 14.5% APR when utilization hits 100%.At 94% utilization, the old curve's lending rate was 4.5% APR, while the new curve is 7% APR, an increase of 2.5 percentage points. LlamaRisk recommended the adjustment on October 20; based on a supply of 2.8922 billion USDT, a 92% utilization rate leaves approximately 57.84 million USDT unborrowed as a buffer compared to 94%. This buffer does not represent actual cash, and withdrawals still depend on available unborrowed liquidity. Snapshots show that the actual cash in the pool is about 391.4 million USDT, with a variable lending APR of about 4.23% and a supply liquidity APR of 3.29%.

Paranoid developer Ignotus Nemo proposed a recursive aggregation scheme for EIP-8288 on the Ethereum research forum, suggesting support for various approved proof sizes to allow smaller proofs for small-scale aggregation. He implemented heterogeneous recursion in the Paranoid system, which has been running both large and small state transition proofs on the public mainnet.The scheme uses a limited set of authenticated validator libraries, processing cross-class delayed validation through independent accumulator channels for each class to ensure the correctness of matrix claims in the recursive steps. When applying this mechanism to EIP-8288, discussions are needed on how to merge subclass libraries, handle dependencies, and address semantic compatibility issues between program identities and validator classes. EIP-8288 was proposed by Vitalik Buterin and Thomas Coratger in June 2026, primarily addressing the issues of large post-quantum signatures and STARK proof sizes, as well as high on-chain verification costs.

Blackstone Group President Jon Gray refuted billionaire Ken Griffin's claim a few days ago that there is a bubble in artificial intelligence (AI). Gray stated on Thursday, "When you think of a bubble, you think of building capacity first and then hoping for demand to appear.But in the AI field, you are building capacity while hoping to keep up with demand." He said this is a "completely different situation" compared to phenomena like the telecom bubble of the 1990s. He mentioned the AI consulting company Ode, which Blackstone co-founded with Anthropic. "We simply cannot keep up with customer demand," he said. "Demand is growing almost parabolically."

According to Beating AI's news, a summary of an expert interview circulating in the investment community states that the next-generation foundational model of the artificial intelligence company Zhipu is not the previously rumored 1.6 trillion parameters, but rather between 2.5 trillion and 3.5 trillion parameters. The GLM-5.3 released by Zhipu in August this year still uses the previous generation foundational model, with a total of approximately 744 billion parameters; if the information is true, the new foundational model's scale is about 3.4 to 4.7 times that of the current one.The summary also states that the training has not gone smoothly, as Zhipu adopted a more aggressive model architecture, and during the pre-training period, there was a time when the loss did not decrease, meaning that computational power was continuously invested but training metrics could not continue to improve. The interviewee believes that the problem should have been resolved recently, and training is expected to be completed soon, predicting that the new model can reach flagship levels comparable to Claude Fable.The summary further mentions that the new model has taken inference speed and cost as hard constraints from the architectural design stage, with the goal of being able to provide services on a large scale from the first day of release. At the same time, multiple cloud vendors are negotiating revenue sharing to address the issue of large models being produced but not being able to supply.

HIP-3 market deployer Paragon spent 570.98 HYPE (approximately $45,000) to acquire the code PAPER, or the upcoming Papertrade (PAPER) perpetual contract.Papertrade is an on-chain synthetic perpetual contract trading platform deployed on HyperEVM, offering up to 1000x leverage. Its token PAPER is minted through users' realized trading losses, with no pre-mining, team, or venture capital allocation.

Michael Saylor posted on the X platform, stating that this week at ParaFi Investor Day, he introduced digital capital, credit, and equity, and had a fireside chat with Jeff Park discussing digital assets, digital intelligence, and the future of finance.The speech covered topics such as Bitcoin as digital capital, CLARITY regulation, the adoption of Bitcoin banking, reshaping gold-backed credit with STRC, STRC returning to par value, Bitcoin earnings per share, the Strategy triple flywheel, shifting from quarterly dividends to daily dividends, Bitcoin-backed stablecoins, the adoption of digital credit institutions, as well as digital currencies, derivatives, exchanges, regulation, and product development in the AI era.

Ethereum co-founder Vitalik Buterin posted on the X platform that he has integrated zkAPI, Tor, additional obfuscation traffic, and local LLM prompt rewriting into a daemon compatible with the OpenAI interface, and created a "paranoid mode" wrapper for his AI agent tool pi. The relevant code has been open-sourced on GitHub.The main mechanism of this solution is as follows: each conversation uses a separate Tor line, with requests mixed in random obfuscation traffic; zkAPI is used to prevent identity leakage through payment links; all prompts are first rewritten by a local model, which the user can choose, with Vitalik himself using qwen3.8-flash-next. The outer layer of the proxy tool is wrapped in a bwrap sandbox, and then another layer of torsocks is added, ensuring that all network operations go through Tor.Vitalik stated that this solution is already quite usable, but the latency has significantly increased, especially slow when starting a new conversation. He pointed out that Tor is far from the best privacy solution in this scenario: obfuscation traffic can prevent passive eavesdropping, but if the LLM service provider colludes with the Tor entry node and actively manipulates timing, the protective effect will be greatly weakened.

The decentralized trading protocol Uniswap has launched an ETH/USDC trading pool, which uses a separated fee mechanism for buying and selling, applying different fee standards for buy and sell transactions.This pool is implemented through the VolatilePair Hook, which will charge temporary fees on trades that reverse significant price fluctuations, aiming to retain more arbitrage value for liquidity providers.

Papertrade's official response to the allegations of price manipulation and the existence of obvious loopholes in the protocol states: It has never been possible for small orders to have the same priority as large orders. If this were done, the front end would suffer from congestion due to junk trading, and the consequences would be much worse than the existing queuing mechanism.Under these constraints, we have designed the fair launch to be as inclusive as possible.Last night, the attempts to manipulate BTC/ETH on Hyperliquid BBO were not due to flaws in the mechanism that took six months to design. These situations had already been considered; it was only because the position limits were set very loosely in the early stages to cope with congestion that such occurrences were possible. If position limits were set during peak demand for launching, it would only exacerbate the slow experience, and the queuing mechanism itself, due to the uncertainty of opening/closing confirmation times, naturally provides protection against manipulation.As congestion eases, we have begun to tighten position limits on-chain and at the relay level. In such a system, manipulation attacks are always possible— the key is whether the attempt is economically viable. The official goal is to set parameters to a point where it is almost never profitable; even if successful, the tail risk is extremely high, and the expected value is negative.

According to a report by Nomura Securities, the AI company Dark Moon is developing a large model with 50 trillion to 60 trillion parameters. Compared to the Kimi K3 released in July this year, the parameter scale of the new model is nearly doubled. The report states that the current biggest bottleneck is the lack of high-end training computing power, and the specific training progress is still unclear.Additionally, according to the aforementioned news, Kimi K3.1 will be released before mid-October, focusing on enhancing the Agent's ability to continuously complete long-duration tasks. The team plans to further optimize the model through post-training, computer operation records, and real task data. The related content is a paraphrase and not an official announcement from Dark Moon.

On October 8, the XRP Ledger activated the PermissionDelegationV1_1 feature, allowing account owners to authorize other accounts to perform specific tasks without relinquishing control of the account's master key. According to the monitoring site XRPL Dashboard, such upgrades require over 80% support from trusted validators for two consecutive weeks; based on the current 35 validators, at least 29 must support it. The countdown for this feature was reset in September due to the support rate falling below the threshold.This feature allows enterprises to split permissions by function. Stablecoin issuers can authorize compliant accounts to approve new customers while keeping the master key offline. Authorized accounts use their own keys to sign and can only perform the granted operations; owners can change or revoke these permissions at any time. Each authorized account can receive up to 10 permissions, which limit the types of operations they can perform, rather than automatically setting spending limits. Banks have previously separated payment and compliance responsibilities at the employee level, and this upgrade enforces such division at the ledger level.According to a report shared by Evernorth, a subsidiary of XRP Treasury, the network held an average of $3.72 billion in tokenized assets and $539 million in Ripple's RLUSD stablecoin in the second quarter, totaling approximately $4.26 billion. Official guidance advises users not to delegate PaymentBurn permissions before separately fixing activation; this permission is intended for assistants to destroy tokens but, under certain conditions, also allows for the creation of new tokens. This warning pertains to tokens issued on the ledger rather than newly minted XRP.

According to Galaxy Research, a certain Satoshi Nakamoto era address transferred 100.02 BTC (worth 8.55 million USD) after being dormant for 16 years, address: 1J3A7HovGXxK1GoCGMJpXGKa5sSwCrNHJ3.David Hoffman, founder of Bankless, stated that this transfer may be intended to prepare for quantum attacks.

The AI merger analysis platform Comparables.ai announced the completion of a $6 million seed round financing, led by Pragmatech and Araya Ventures, with participation from Purple Ventures, Gorilla Capital, hi5 Ventures, Somersault Ventures, and other institutions.

ChainCatcher live report from the OKX NOW Global Product and Ecosystem Conference (Singapore), where Ethereum co-founder Vitalik Buterin delivered a keynote speech. He stated that AI is both the biggest opportunity and the biggest risk for the current industry development.He believes that the industry is moving beyond the narrative of "blockchain + programmable value," with new features such as "programmable data" realized through zero-knowledge proofs (ZKP) emerging.Vitalik expects that privacy protocols on Ethereum will rapidly mature, and within the next two years, most people are likely to use these technologies in an "unperceived" manner.

EIP-8363 co-sponsor Jérôme de Tychey announced the withdrawal of the application to include the proposal in the Hegotá hard fork, and the discussion on the related issuance policy will shift to an independent topic.

The founder of the general-purpose intelligent agent Manus, Xiao Hong, stated that when Manus was born, Codex and Claude Cowork had not yet appeared in the market, and the product positioning has always been a general-purpose intelligent agent. He likened Manus to a computer-selling business, believing that users may primarily purchase computers for work, but if they cannot watch videos or play games, the experience will be quite limited; therefore, it should not be confined to office tasks.Xiao Hong indicated that videos and games are important scenarios for unleashing creativity, which need to be perfected through the local client Manus Studio. The related videos for Cue are entirely produced by Manus Studio, without using video generation models; instead, the agent first writes the code, which is then converted into video. With the help of cloud computers, Manus can also create online games that support user participation with friends.In terms of infrastructure, Manus cloud computers can provide cloud-based Linux, Mac, and Windows environments. Xiao Hong stated that when the agent operates the computer in the cloud, it will not compete with the user for the local mouse cursor, and he anticipates that individuals will be able to control large-scale computing clusters in the future to satisfy curiosity and conduct experiments and explorations in fields such as mathematics and science. He also described Cue as having an independent phone number, email, payment capability, computer, and sufficient intelligence, and stated that if such agents could be regarded as humans, there might be more changes in upper-level interactions. Xiao Hong mentioned that building product experiences in an overseas open ecosystem is relatively easier, and Manus is actively preparing a domestic version.

SpaceX (SPCX.O) announced that the Super Heavy rocket separated from the Starship as scheduled.