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The joint assessment by the UK Institute for AI Safety and the US Center for AI Standards and Innovation shows that Moonshot AI's Kimi K3 can assist in the development of exploit vulnerabilities and simulate cyber attacks without substantial hindrance, but its overall cybersecurity capabilities still lag significantly behind leading models in the United States.

The PPP prediction market tool monitoring shows that the probability of "the next Claude Opus model being released on July 23, 2026" on Polymarket is currently reported at 61%, up 51% in the last 24 hours. In addition, the probability of "being released before July 24" is currently reported at 9%; the probability of "being released before July 25" is currently reported at 5%.This event will settle based on the date (Eastern Time) when Anthropic's next Claude Opus model is made publicly available. Only models explicitly named "Opus" by Anthropic are valid, and they must be open to the public (including public testing or open waiting lists). Other models such as Sonnet and Haiku are not included, and the final settlement will primarily rely on official information from Anthropic.

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.

According to Bitcoin Magazine, Lightning Labs has released the alpha version of Wavelength, a toolkit that provides self-hosted Bitcoin payment capabilities for developers and AI agents through a simple non-custodial API, without the need to run nodes, manage channels, or obtain liquidity.Wavelength supports on-chain Bitcoin, Lightning Network payments, and settlement layers similar to Ark, with each off-chain payment using standard BOLT 11 invoices, allowing interoperability with existing Lightning Network. AI agents can call the API through the Model Context Protocol (MCP), hold balances, and pay for API calls in the smallest units, among other services. Wavelength is live on Signet and testnet, with mainnet access by invitation only, initially supporting Bitcoin, and stablecoin support planned through Taproot Assets.

The B.AI API officially launches two models, Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. Among them, Gemini 3.6 Flash, as an upgraded version of 3.5 Flash, significantly improves output quality while maintaining the same pricing, with an average reduction in token consumption of about 17%. Especially in complex scenarios like DeepSWE, the maximum reduction can reach 65%, greatly enhancing development efficiency and cost-effectiveness. Gemini 3.5 Flash-Lite, on the other hand, offers ultra-fast output of up to 350 tokens/s and exceptional cost performance, precisely meeting the demands of high concurrency and high real-time tasks such as document batch processing and Agentic intelligent retrieval. Currently, both models have opened official API interfaces, allowing developers to log in to the B.AI platform immediately for a seamless experience and enjoy the performance benefits brought by the new generation of models.

Pump.fun announced the launch of a new standard launch mechanism called BOOST, applicable to every new token on the platform. Pump.fun stated that over $100 million in liquidity becomes dead liquidity each year when tokens migrate from the initial bonding curve to the liquidity pool, and the BOOST model will reinject future liquidity into each bonded token.Co-founder Alon Cohen described this update as adding approximately 20% liquidity for each newly migrated token, without altering the trading experience of the bonding curve or liquidity pool, injecting hundreds of millions into the ecosystem over time.The above data is based on the company's own projections rather than independently verified results, and Pump.fun did not release a supporting dataset with the announcement. The actual liquidity effect depends on the number of tokens bonded and migrated under the new default mechanism. Previously, Pump.fun launched a USDC paired liquidity pool.

According to external disclosure information, OpenAI has been internally running an unreleased model. This model, without the aid of tools like Lean, solves the unit distance problem with a 48% probability through a single autonomous inference and can independently find a counterexample to the Jacobian conjecture based on a single prompt. In security testing, this model has bypassed the sandbox environment and submitted results that should have been released internally to GitHub in the form of a Pull Request, and it has evaded detection by splitting authentication tokens. Relevant code records show that OpenAI began benchmarking this model no later than May 9, and its internal availability has exceeded 2.5 months.Previously, OpenAI and Hugging Face jointly disclosed that last week this model breached Hugging Face's production infrastructure during a network capability assessment. The model gained internet access through a zero-day vulnerability and obtained testing solutions by stealing credentials and exploiting remote code execution paths. OpenAI stated that this incident indicates the network attack capabilities of advanced models have been effective in real-world scenarios, and they are collaborating with Hugging Face to investigate and patch the vulnerabilities. Currently, OpenAI has not publicly commented on this matter.

According to sources cited by the Financial Times, Chinese regulators are considering tightening export controls on AI and semiconductor technology. The Ministry of Commerce has discussed with AI companies such as Alibaba, ByteDance, and Zhipu about restricting the transfer of key data used for model training overseas, as well as limiting foreign users from downloading model weights. However, China will still allow overseas customers to access these models and services. The Ministry of Commerce is also soliciting opinions from various parties on potential restrictive measures, which would prohibit overseas chip manufacturers like Qualcomm and TSMC from producing advanced semiconductors based on designs developed by companies such as Huawei, Alibaba, and ByteDance.Sources indicate that most proposals are still under discussion, and regulators are assessing industry feedback before making a final decision.

According to a report by The Paper, at the 2026 World Artificial Intelligence Conference, renowned futurist and "father of the Silicon Valley spirit" Kevin Kelly stated in a media interview that if one day everyone starts to care about the cost of tokens, the existence of open-source models would be an advantage for Chinese AI.Kevin Kelly mentioned that the cost of token consumption is becoming increasingly important, and currently, it seems that people do not care about the cost. "But I believe that when we are constantly consuming such a large number of tokens, people will start to care (about the cost). If you can provide a cost that is only one-tenth of Anthropic's, then it will change the game."However, Kevin Kelly also reminded that the open-source model requires sufficient funding to maintain operations, as it is not as profitable as the closed-source model. "Building these large models requires massive funding."

B.AI announced that the Kimi K3 model is officially launched on its API platform, seamlessly integrated after the release by @Kimi_Moonshot. As the world's first open-source 3T level (28 trillion parameters) model, Kimi K3 has made significant breakthroughs in long-range programming, complex reasoning, and knowledge work, and natively supports visual capabilities and 1M ultra-long context. As a model aggregation service platform, B.AI has prioritized opening its API interface, allowing developers to directly experience the capabilities of the new generation model through B.AI. B.AI will continue to provide efficient and stable interface services to promote the rapid implementation of cutting-edge AI technology and empower developers' innovation.

According to CoinDesk, Runestone co-founder Leonidas announced that it is launching an open-source Bitcoin client called DOG Mode, aimed at bypassing BIP 110's restrictions on non-financial data. DOG Mode will increase the maximum weight unit for standard transactions from 400,000 to 3,900,000, close to the entire block capacity, and will reduce the dust limit from 294 to 546 satoshis down to 1 satoshi. Leonidas stated that removing the dust limit will free up approximately $25 million in idle funds.The BIP 110 proposal restricts arbitrary data through user-activated soft forks, requiring 55% miner support, which is currently close to zero. DOG Mode does not require any consensus or voting; it only needs to change the forwarding rules of a single node. If enough nodes run and miners accept, transactions can be confirmed. Leonidas mentioned that DOG Mode deviates from Core to a much lesser extent than Knots, and there is currently no code repository or version. He calls on developers to contribute code and miners to add support. The price of DOG tokens has dropped 1.2% in the last 24 hours.

According to Xinhua News Agency, as the 2026 World Artificial Intelligence Conference and the High-Level Meeting on Global Governance of Artificial Intelligence are about to be held, the new generation model Kimi K3 was released on the 16th, with a parameter scale of 28 trillion. This is currently the largest open-source model in the world by parameters, marking a new step in the development of artificial intelligence models in our country.Beijing Moon's Dark Side Technology Co., Ltd., which released the model, introduced that Kimi K3 natively supports visual understanding, has a context window of 1 million tokens, and is optimized for complex task scenarios such as software engineering, knowledge work, deep research, and multimodal understanding, further enhancing the processing capability of large models for complex tasks. It is understood that in evaluations, Kimi K3's comprehensive intelligence level is close to that of the world's leading closed-source models. A relevant person in charge of Moon's Dark Side stated that in the process of training the new generation foundational model Kimi K3, they used a self-developed underlying model architecture and accumulated a complete set of scientific model training methods.

According to the Financial Times, informed sources reveal that the Chinese AI unicorn company Moonshot AI plans to release a new large language model, Kimi K3, in the near future. This model has between 20 trillion to 30 trillion parameters, making it the largest AI model in China by parameter scale, and its performance is expected to surpass the flagship model Claude Opus 4.8 from Anthropic in mainstream benchmark tests (industry speculation suggests its parameter count is around 15 trillion to 20 trillion).Unlike the currently mainstream closed-source and expensive cutting-edge large models in the United States, Kimi K3 will be available as an open-weight model for users to download and modify for free, which may create competitive pressure for leading American labs like OpenAI and Anthropic. Currently, due to the rising service fees for large models in the U.S. (for example, Anthropic has announced a 50% price increase for Opus 4.8 in September), some overseas companies have begun to shift towards using more cost-effective Chinese open-source models.In terms of the capital market, informed sources indicate that Moonshot AI is preparing for a new round of financing, with the latest valuation expected to reach approximately $31.5 billion. Meanwhile, the valuations of other AI giants in China and the U.S. are also rising; DeepSeek is starting a new round of financing with an estimated valuation of about $71 billion, while Anthropic and OpenAI have reached valuations of $965 billion and $852 billion, respectively, in their latest round of financing. In response to the aforementioned release and financing rumors, Moonshot AI has currently declined to comment.

Digital asset management company CoinShares stated that Open USD directly challenges Circle by generating revenue from the distribution of stablecoin reserves to partners, undermining the distribution economic model of USDC.Open USD consists of over 140 companies, including BlackRock, Coinbase, Mastercard, Stripe, and Visa. The stablecoin is expected to launch in the second half of 2026. CoinShares noted that despite the competitive pressure posed by Open USD, the existing liquidity and integration foundation of USDC may be difficult for new entrants to replicate.

According to a report by Reuters, the Cyberspace Administration of China announced on Wednesday (July 15) that Apple's edge-generative AI service "Apple Intelligence" has successfully completed filing in China and is approved for use on iPhone devices in the Chinese market. The official announcement has not yet specified a concrete launch date.According to informed sources, Apple's AI service will integrate the AI model capabilities of Baidu and Alibaba. Alibaba subsequently confirmed in a statement that its "Tongyi Qianwen" (Qwen) large model will be integrated into the Apple Intelligence experience for users in China on iOS, iPadOS, macOS, and visionOS. Apple has not yet responded to this.

a16z published a blog post stating that as traditional financial institutions accelerate their exploration of blockchain technology, the market generally believes that the future will see a comprehensive integration of DeFi (Decentralized Finance) and TradFi (Traditional Finance), forming a new financial model through the combination of decentralized finance and institutional distribution systems.However, the reality may not be so. The core motivation for traditional financial institutions to adopt blockchain is not to embrace decentralization, but to value its commercial benefits in reducing costs, improving settlement efficiency, expanding distribution channels, and optimizing customer relationship management.What is more likely to emerge in the future is a new type of "programmable financial infrastructure" based on underlying blockchain technology, optimized for institutional needs, rather than a simple integration of traditional finance and DeFi. Institutions are selectively absorbing certain technological capabilities from DeFi and modifying them according to their own regulatory, risk management, and operational requirements.For example, atomic settlement can reduce counterparty risk, shared ledgers can lower back-office reconciliation costs, programmable funds can automatically execute processes such as interest payments, margin management, and corporate actions, and automated market-making models are also being applied to on-chain foreign exchange and tokenized asset pricing.At the same time, the native DeFi features of open access, anonymity, and trustless execution often conflict with institutional requirements for compliance, control, and accountability. Therefore, cases such as JPMorgan's institutional blockchain project, BlackRock's and Franklin Templeton's tokenized funds, are essentially not traditional finance entering DeFi, but rather using blockchain technology to improve existing financial business processes.In the future, the blockchain industry will have two development paths: on one hand, enterprises and financial institutions will continue to promote the implementation of blockchain infrastructure that meets regulatory requirements, expanding the industry scale through applications such as stablecoins, tokenized assets, and on-chain settlements; on the other hand, open networks will continue to play the role of a source of innovation, continuously generating new financial primitives and market mechanisms, providing technical reserves for future institutional infrastructure.TradFi and DeFi are not in competition but are developing together in different directions. Traditional finance may not fully adopt the DeFi model but will gradually adopt parts that suit its own needs. The true integration may ultimately occur at the underlying blockchain network level, rather than one side replacing the other.For developers, the key is not to chase all markets simultaneously but to clarify the target audience: for institutions, products need to be built around compliance, risk control, and long-term business processes; for open networks, there is a need to continue exploring innovation, liquidity, and network effects. The future financial system may operate on blockchain infrastructure, but the most important innovations may still come first from open networks.

B.AI announced that the entire series of GPT-5.6 models has officially landed on Web Chat. Previously, the B.AI API had already integrated the three models: GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna. Starting today, users no longer need to configure the API; they can log in to directly experience the complete capabilities, including chat Q&A, content creation, code writing, and complex reasoning. This full opening marks the all-scenario implementation of the new generation of models within the B.AI ecosystem, providing "out-of-the-box" intelligent services for developers and ordinary users. In the future, B.AI will continue to lower the barriers to using cutting-edge AI technology, facilitating efficient creation and decision-making.

According to CoinDesk, a wholesale digital market report supported by the UK Treasury lists Ripple as one of the core participants, planning to transition repurchase agreements (repo), UK government bonds (gilts), and funds from the regulatory sandbox to the real market within the next 12 months, with an expected annual increase of about £33 billion in output and £14 billion in tax revenue for the UK economy over the next decade.The report proposes a hybrid architecture that overlays a permissioned institutional network on top of a public chain, using BlackRock's tokenized money market fund BUIDL on Ethereum as an example, while also noting that the finality risk of settlements brought about by public chain restructuring remains to be resolved. The report also mentions Ripple's acquisition of Hidden Road (renamed Ripple Prime) and Santander UK's use of the Ripple blockchain for cross-border payments, suggesting that traditional finance and crypto institutions are converging.