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According to informed sources, in response to market skepticism, Josh Payne, founder and CEO of Nscale, an AI data center developer transformed from a Bitcoin mining company, stated that the company will continue to advance its IPO as planned, with a target valuation of $30 billion. In a recent internal memo to employees, he mentioned that Nscale has an "insatiable" market demand and a "robust capital structure," and stated that "data speaks louder than words."Reports indicate that the AI infrastructure industry is under pressure as Nscale approaches its IPO. The company claims to have signed contracts worth $103 billion, but as of August 2026, it has only delivered 55 megawatts of computing power, while potential contract demand corresponds to a capacity of 10 gigawatts. Its data center projects are also facing delays, safety violations, and operational challenges, with Microsoft recently withdrawing from one of its data center projects in the UK.

Robinhood CEO Vlad Tenev stated during the third quarter earnings call held this morning that the future plan is to build Robinhood Chain into the best place to hold and trade all tokenized assets, starting with stock tokens and perpetual contracts, and then expanding significantly.Regarding support for builders, Vlad said, "We are currently putting a lot of effort into researching how to further scale and how to better support community development. Many developers have provided feedback that we can do more in supporting the community. I believe everyone will see us increasing our investment because we want to make it the best developer ecosystem and the best on-chain community in the world. So, you will see us increasing investment because the development of emerging ecosystems like this is rare."He also confirmed, "Robinhood is working hard to do more for the community. We had to form a team, and I think in the near future, you will see us providing more support for developers."

According to CoinDesk, XRP Ledger developers are testing a new feature that aims to allow the creation of blockchain accounts with an initial balance of zero, with existing accounts bearing the reserve required for new accounts, thereby lowering the financial threshold for payment applications and automated software to create wallets on a large scale. This proposal was submitted on October 15 in the form of a SponsoredAccountCreate transaction proposal.According to current XRP Ledger rules, each account must reserve at least 1 XRP as a reserve, meaning that creating 100,000 independent accounts would require locking up 100,000 XRP. The new proposal intends for sponsored accounts to bear this reserve requirement, and a broader fee sponsorship mechanism in the future could also allow applications to pay transaction fees on behalf of users, but the overall reserve requirement for the network will not be eliminated. This feature is expected to lower the usage threshold for scenarios such as embedded wallets, RLUSD stablecoin payments, and AI agent automated payments.However, the related code is still under review, and the sponsorship mechanism it relies on has not yet gone live on the mainnet. As of October 19, the mechanism has only received 11 votes out of the 35 required validator votes, still falling short of the 29 votes needed for approval.

The developer tools AI visibility and usability platform AgentRel announced on X the completion of a $1.3 million financing round, with investors Y Combinator and Broom Ventures. The funds will be used to build AgentRel.The announcement stated that AgentRel helps developer tool companies see whether ChatGPT, Claude, or Gemini would recommend their products or competitors' products, and identifies the difficult points users encounter when using Claude Code. The announcement also mentioned that Profound, Peec, and most other AI visibility tools primarily measure volume, while AgentRel provides accurate data and helps users take action based on that.

According to "Du Jia," Tencent is currently beta testing "HermitKit," an AI capability plugin for WeChat Mini Programs, providing three levels of access: API, UI components, and Demo. This plugin supports streaming calls to large models through ChatApi, creates and manages Agents using AgentBuilder, and enables multi-turn conversations, with built-in session storage and long-term memory capabilities. Additionally, it can bind remote Agents via QR code scanning through AgentChannel to complete message sending and receiving.Currently, HermitKit showcases 7 types of functional demonstrations, including AI SDK, Agent Channel, Agent Management, Pet Agent, Chatbot, Travel Planning, and Plugin Market. Among them, the AI SDK aligns with cloud development APIs such as createModel, generateText, and streamText; the Pet Agent allows developers to read pet status through interfaces and trigger status changes using props; the Plugin Market enables searching, publishing, and downloading MCP, Skill, and Expert resource packages. This plugin has not officially launched yet, and related capabilities may still be subject to adjustments, with specifics to be confirmed by official statements.

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.

Web3 game developer Unagi announced on the X platform that the company has entered a court-ordered judicial liquidation process in France, and all assets will be publicly sold under the supervision of a court-appointed liquidator.Unagi's products include Persona Journey, Ultimate Champions, and Records. The assets for sale include: the intellectual property of Persona Journey, NFT contracts and creator royalty rights, 957 Persona NFTs in the treasury, community accounts, and related AI products; the token UNA and its contracts; the fantasy football and basketball game Ultimate Champions and its NFT card economy; a white-label fantasy sports platform; the completed but unreleased prediction game Fantasy Brainz; and the AI user-generated content platform Records launched in March this year.Each asset can be acquired separately, with the bid deadline set for November 2.

According to The Block, the developer of the tokenized asset settlement platform Multiliquid, Uniform Labs, has raised a total of $8 million in seed and pre-seed funding rounds, with the latest seed round led by Polychain, and participation from Strobe Ventures, CMT Digital, Metalayer Ventures, Generative Ventures, and Circle Ventures.Multiliquid supports institutions in converting between tokenized assets and stablecoins through single atomic transactions, and is currently deployed on Ethereum and Solana.

According to Cointelegraph, security company Hacken disclosed that there were a total of 107 cryptocurrency hacking incidents in the third quarter of 2026, with total losses amounting to $1.18 billion. Approximately $906 million (about 77%) were related to breaches of vendor and developer tools, disclosed but undeployed fixes, and infrastructure outside the audit scope.The losses were mainly concentrated in four incidents: Bitget lost $387 million, Liquid Network lost $320 million, Tectonic lost $120 million, and Coldcard firmware vulnerabilities resulted in losses of about $115 million, totaling about 80% of the losses. The remaining 98 incidents each had losses below $10 million, with a median of $670,000. Smart contract attacks were the most common, totaling 71 incidents with losses of $228 million. This quarter marked the worst losses since the first quarter of 2025. In terms of recovery, about $387 million was returned or reversed, accounting for approximately 33% of the gross losses; the operators also bore $410 million in user losses, with about $384 million still unrecovered.

Brandon Thomas, the developer who previously used AI to reconstruct Adobe Creative Cloud for free, has now turned his attention to Microsoft Office. He has released open-source clone applications WordCraft, GridCraft, and DeckCraft on GitHub, corresponding to Word, Excel, and PowerPoint, respectively. The three applications are written in Rust, with a single codebase that can run natively on Windows, macOS, Linux, and BSD, and can also run in a browser. Thomas refers to this as a clean room reconstruction, meaning it is based on publicly available file format specifications and observations of the original software's behavior, without ever copying Microsoft's code, similar to the legal path taken by Compaq in the 1980s to clone the IBM PC BIOS.WordCraft can read and write .docx format, covering 88% of the features in the Word ribbon. It currently supports revision tracking, footnotes, citations, and mail merge; however, taking into account document fidelity and stability, the team estimates its completeness as a Word alternative for actual work is only about 60%, and it is still labeled as an alpha early testing version. GridCraft has supported 513 out of 523 Excel worksheet functions and 89% of ribbon commands, with the developer self-assessing about 50% as usable for actual work. The next step is to improve compatibility with real .xlsx files.

American AI developers can provide the UK government with early access to AI models for security testing without angering the Trump administration. Previously, the Trump administration had requested that developers not share new AI models before their release. This move indicates that the United States has adopted a more moderate stance on international cooperation in AI security.

The Zcash development team plans to add post-quantum signature support to the network in January. Zakura engineer Roman Akhtariev stated in an engineering blog that the team plans to implement post-quantum signature opcodes in Zcash in January. These opcodes will enable Zcash to verify hash-based signatures, thereby resisting quantum computing attacks. The team has not yet confirmed a specific network activation date. This upgrade aims to prevent attackers from using current public keys to reverse-engineer and forge payment authorizations from wallet owners.The initial phase of this upgrade will protect transparent transactions. Zcash has two payment methods: shielded payments hide the sender, receiver, and amount; transparent payments are similar to Bitcoin, where addresses and amounts are visible on the chain. According to CoinDesk, based on ZecStats data, approximately 11.96 million of the 16.98 million issued ZEC are stored in the transparent pool, accounting for about 70%. The January plan primarily targets this public portion. Additionally, Zakura has developed a private query tool that allows wallets to check balances without exposing associated addresses to the server; the experimental version is available in the "Private queries" settings of the Zcash wallet Vizor.Before the release of Zakura's engineering article, Ethereum researcher Justin Drake warned holders on Thursday to prepare for what he called "bunker mode," stating that in the worst-case scenario, AI could find shortcuts to break the mathematical protections of Bitcoin and Ethereum wallets in "months rather than years."

The core development team of Solana, Anza developer Jacob Creech, stated that unlike some blockchains, Solana users do not need to urgently transfer assets due to AI-accelerated password cracking or quantum computing threats. He explained that Solana uses the Ed25519 signature algorithm, where the signing key is derived from a secret seed through hashing. Even if elliptic curve cryptography is cracked in the future, attackers cannot directly recover the original seed from it.Creech mentioned that theoretically, Solana could introduce a hash-based seed ownership proof through a network upgrade, allowing original holders to verify their identity and migrate to a more secure signing scheme. Anza has developed a related proof-of-concept prototype. He also emphasized that Solana is currently still secure and has a technical roadmap to address future cryptographic threats.

Google released its latest image generation and editing model, Nano Banana 2.1, on October 6, and it has been launched in the Gemini app, AI mode of Google Search, Google Ads, as well as developer tools like Google AI Studio, Flow, and Stitch. This model can generate images from text descriptions and edit existing photos.Google stated that this upgrade focuses on three aspects: visual design, mask-based editing (where only the marked area changes), and subject consistency, meaning that characters or objects retain their original features after multiple edits. In the overall preference test for text-to-image generation, Nano Banana 2.1 scored 1050 ELO points, higher than Nano Banana 2's 990 points and Nano Banana Pro's 935 points. The model can handle up to 14 reference images simultaneously, track 4 characters and 10 objects, and output up to 4K resolution with an aspect ratio of up to 8:1. Developers can also set the thinking time before generation and enable fact-checking based on Google Search and Google Image Search.When called through the Google Developer API, the standard 1K image is priced at $0.0336, about half of Nano Banana 2's $0.067; the 4K image is $0.0756, while the previous generation was $0.151, and bulk tasks can enjoy a 50% discount. The above performance data comes from Google's own testing.

Energy developer Fusion Source Energy (FSE) and its partners have signed a memorandum of understanding with the on-chain physical asset platform Loaf to promote the issuance of over $500 million in Australian photovoltaic and battery projects on-chain, covering more than 1,000 hectares, led by the over 200 megawatt Project Amber. According to the memorandum, the funds raised are expected to accelerate project development and expand Amber's battery capacity.Amber is a utility-scale photovoltaic park that will deploy over 200 megawatts of photovoltaic and multi-hour battery storage on-site, with an expected annual power generation sufficient to meet the electricity needs of over 70,000 households, or equivalent to the electricity demand of a 50 megawatt data center. The project pipeline also includes battery storage assets below 5 megawatts and distributed energy resources, which are modular assets closer to the electricity end, capable of forming diversified energy revenue across multiple sites in Australia.FSE CEO Weiwei Shi stated that Amber is one of the largest hybrid on-site projects in the Southern Hemisphere, which have traditionally only been open to a few institutional investors. Loaf can expand the investor base without adding extra friction and provide continuous, transparent pricing for the assets.Loaf stated that Project Amber will become a key asset in its ecosystem. As the project matures and begins trading, users will be able to go long or short and use these assets within the on-chain financial ecosystem. Loaf will participate in the on-chain trading and issuance of physical assets, allowing users to access the economic upside and returns of related infrastructure assets.

Bitcoin News posted on the X platform that Bitcoin Core 32 is currently undergoing candidate version testing, with the developers aiming to release it on October 10.This version can speed up block validation by reading database data in parallel, but it will not change the block generation speed. Four wallet commands will default to the updated partially signed transaction format, while the old format will still be available as needed. Security patches can prevent custom wallet names from executing commands on non-Windows nodes, and in one test, the memory growth caused by unauthenticated HTTP was reduced from about 3.2 GB to about 3 MB.

Ethereum developers warn: Attackers can exploit free testnet ETH and one-time builder identities to win Sepolia block auctions and withhold transaction payloads during the Glamsterdam testing period.This attack does not threaten mainnet funds but may disrupt infrastructure testing. The Sepolia public test is scheduled to launch on October 6, with the Hoodi test tentatively set for October 27, and the mainnet activation time is still undetermined.

Bitcoin News posted on the X platform that Bitcoin Core developer Niklas Gögge warned that recent AI-driven vulnerability scanning is changing the security landscape of Bitcoin. Large language models have significantly reduced the cost of discovering vulnerabilities, allowing attackers to potentially find catastrophic vulnerabilities for just a few hundred dollars in computing costs.For Bitcoin Core, Project Loupe, the Bitcoin Red Team, and individual contributors have generated over 1,000 reports, but so far no high-risk or severe vulnerabilities have been found. Gögge stated that relying on stronger models to discover vulnerabilities before attackers is not a sustainable security strategy. Developers should build testing infrastructure that can proactively prevent entire classes of vulnerabilities through automated testing, fuzz testing, and property-based testing. Key components of Bitcoin Core have accumulated over 100 years of CPU fuzz testing and have undergone decades of Bitcoin node network simulation.

Ripple announced the expansion of its XRP Ledger developer suite to support the Machine Payment Protocol (MPP) co-developed by Stripe and Tempo, as well as the open wallet standard. The XRPL AI Starter Kit version 1.1 adds this support, enabling AI agents to use tokens like XRP and RLUSD to pay for online services such as data and computing power. Jazzi Cooper, head of RippleX products, stated that Ripple's goal is for XRP and RLUSD to become the preferred payment options for developers when building applications.MPP allows AI agents to pay on demand: the service provider quotes a price for the request, and after the agent authorizes the payment, the service provider delivers the resources. This standard was co-authored by payment company Stripe and payment chain Tempo. Ripple has supported another network payment standard, x402, since June, and now supports both standards simultaneously. The open wallet standard allows agents to initiate transactions without accessing private keys and includes security mechanisms such as spending limits and whitelisted destinations.XRP payment channels are suitable for small, high-frequency payment scenarios, allowing agents to deposit XRP once, run hundreds of payment queries, and authorize small expenditures sequentially, enabling the service provider to collect cumulative payments without having to put each query on-chain. Currently, single payments support tokens like RLUSD, but continuous payment sessions are limited to XRP, and incorporating stablecoins into the channel depends on the proposed ledger upgrade. This payment software is still in the testing phase.