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According to market news, voice AI company Deepgram has acquired the developer of the open-source voice AI infrastructure framework Pipecat, Daily. The parties did not disclose the transaction amount and promised to continue maintaining Pipecat as open-source and vendor-neutral.Pipecat can manage voice and video streams and integrates speech-to-text (STT), large language models (LLM), and text-to-speech (TTS) to reduce real-time interaction latency.

According to a publicly disclosed lawyer's letter, the entity behind Pump.fun, Bracket Company Inc., sent a cease-and-desist letter to Eliza Labs founder Shaw Walters (X account @shawmakesmagic) on October 29, 2026, through the law firm Brown Rudnick. Pump.fun accuses Walters of unauthorized copying, reverse engineering, and planning to publicly release its source code, violating U.S. copyright law and platform service terms.The lawyer's letter states that Walters posted a series of messages on the X platform between October 27 and 28, claiming to have reverse-engineered 97.6% of the source code of the Pump.fun contract set, with 80% matching the original contract byte for byte, and plans to add the front-end and back-end code to the code repository, offering project tokens $PMUP as a reward to contributors. Pump.fun demands that Walters immediately cease such activities, refrain from publicly releasing the source code, and clearly states that such reverse engineering constitutes illegal behavior.

According to a notice from the global securities financing technology company EquiLend, Goldman Sachs has begun using its distributed ledger platform 1Source built on the Canton Network, joining the ranks of Bank of New York Mellon and National Bank of Canada.The platform aims to reduce issues such as duplicate reconciliation, inconsistent transaction records, and settlement failures between traditional financial institutions by synchronizing securities lending transactions and subsequent changes through a shared ledger. Bank of New York Mellon and National Bank of Canada started transmitting real transaction data to the platform in October 2025.

The venture capital firm a16z published comments from co-founder Marc Andreessen on X regarding open-source AI. Marc Andreessen: If the only way for children to learn AI is to work at one or two companies, it would be hard for parents to accept.He also stated that in an open-source world, every child can understand how the relevant technology works. Without open-source, AI will inevitably be concentrated in one or two companies, or even directly in the hands of the government.Marc Andreessen also used the analogy of "government sushi," asking people to imagine "government AI," and stated that open-source is a safeguard to ensure this scenario does not become a reality in the future.

On October 22, the Frontier Red Team of the artificial intelligence company Anthropic released research stating that large language models can automatically write formal proofs on a larger scale. The team collaborated with Theorem to use Claude to prove safety properties on over 100 real open-source libraries at the RISC-V assembly level, claiming this is the first known instance of using AI for large-scale formal verification of production software at the assembly level. During the proof-writing process, vulnerabilities that had gone undetected for years were also discovered.The experiment converted existing compilable fuzz tests from Google OSS-Fuzz into specifications: under assumptions of single-threaded static binaries, fixed memory budgets, RISC-V CPUs, and Linux, for any input less than 64 MB, the program should exit normally without triggering memory safety errors or assertion failures. Within weeks, Claude proved the aforementioned properties for 239 entry points in 123 OSS-Fuzz libraries after patching the identified issues. The proofs targeted compiled RISC-V instructions, approximately 180 million lines of Rocq, and were checked by the Rocq kernel. The page states that this does not mean these libraries are free of vulnerabilities, as remaining issues may lie outside trusted components or the scope of the proofs.The page also mentions that the team had Claude formalize RFC 1950 and proved that the zlib implementation in the Linux kernel conforms to that specification at the x86 binary level; an interpreter written in Rust covering a large subset of Python showed a 99.95% consistency with CPython behavior across over 1.7 million randomly generated programs. In 36 small verification tasks, Opus 5.5 proved that about half required approximately 40% fewer tokens than Opus 5. The team also pointed out that the proofs targeted single-threaded, statically linked RISC-V binaries, and the proof checker cannot determine whether the specifications align with reality.

According to People's Finance News, regarding DeepSeek's comprehensive open-sourcing of its internally used AI inference framework DeepInfer, Zhou Hongyi, the founder of 360, stated that this reflects a kind of technological confidence and, more importantly, a philosophy of open-source inclusiveness.Zhou Hongyi also mentioned that looking deeper, this indicates that the struggle for technological sovereignty in the AI era has arrived. He revealed that 360 has developed a sovereign AI operating system, which is currently in use in some government and enterprise units.

MiniMax announced the open-source release of the MiniMax M3.1 Flash model weights on October 23, with a total of 428 billion parameters and 23 billion active parameters. Compared to the previous generation M3 model, the M3.1 Flash has achieved a comprehensive improvement in model capabilities. According to official data, within 72 hours of the model going live, the number of tokens processed by real users exceeded one trillion.On the technical side, M3.1 Flash improves inference efficiency through optimizations such as full model sparse attention, quantization-aware training (QAT), and power-aware scheduling. In terms of ecosystem, MiniMax collaborates with chip manufacturers such as Huawei Ascend, T-head, Kunlun Core, Moore Threads, Biren, Haiguang, Muxi, Tiandao, NVIDIA, AMD, and cloud platforms like Together AI, Fireworks, Nebius, Baseten, Modal, DigitalOcean to promote access on the first day of open source. vLLM, SGLang, Zhiyuan FlagOS, as well as Hugging Face, Modao, and other communities simultaneously support the deployment of the model across different chips and development environments.

The messaging protocol XMTP founder Shane Mac stated that XMTP will evolve into a self-operating open-source messaging stack, providing private conversations between people and agents, with infrastructure controlled by users, without requiring tokens or wallets. The network hosted by XMTP Labs will shut down in early 2027.Shane Mac mentioned that he founded XMTP five years ago because he believed that private messaging should not be owned by a single company. He recalled that the team envisioned using wallets as cross-application identities, allowing messages to follow identities, and using tokens to pay infrastructure operators, but this path was not realized. XMTP has never issued tokens and will not issue them now. He admitted that it was a wrong decision to persist with a single shared network for a long time, as developers have consistently requested the ability to self-host XMTP. Therefore, it has shifted to self-hosting, allowing developers to use, inspect, modify, and maintain the entire software suite without relying on Labs. Former employees will assist in maintaining the protocol, and Shane Mac himself will continue to be involved.The article introduces that self-hosted XMTP offers quantum-resistant end-to-end encryption, private one-on-one and group chats, encrypted identities, and message authenticity, as well as SDKs for mobile, web, server, and agents. Chief Technology Officer Nick Molnar has simplified the backend to a single Rust binary and integrated attachments, push notifications, handles, and signed webhooks for new messages. Each self-hosted network does not automatically interconnect by default, and agents from different tools must connect to the same backend to share conversations.

According to Bloomberg, citing diplomats involved in the negotiations between Iran and the United States, the talks between Iran and the United States are still ongoing, and reports about the two sides reaching an agreement soon are not true.

DeepSeek announced the full open-source of its internal inference framework DeepInfer, and simultaneously open-sourced the production-level token encoding and decoding component deepseek-recipe. DeepInfer integrates high-performance operators and a deeply optimized inference engine, supporting distributed inference, speculative decoding, SWA Bounded Replay, and structured output, compatible with NVIDIA and Huawei Ascend platforms.DeepSeek stated that it has implemented high throughput and low latency large-scale inference services for DeepSeek V4.1 Flash based on DeepInfer, and future inference code and optimizations for new models will continue to be updated here. deepseek-recipe is fully aligned with the processing logic of the DeepSeek official API, aiming to ensure that the community receives an experience consistent with the official deployment. The open-source repository and technical report have been released simultaneously.

The AI model evaluation platform Arena announced that DeepSeek-V4.1-Flash-20261017 (Max) has ranked first among open-source models in Agent Arena and 11th overall. Based on approximately 7,500 real usage sessions, this model shows a comprehensive net improvement of about 5.1% compared to the average model, with a median single-task cost of about $0.20.This version ranks first among open-source models in four metrics: task success confirmation, user positive and negative feedback, reliability of Bash command execution, and guideability, with the task success confirmation metric ranking 8th overall.

According to four informed sources, the Bank of Japan may raise its inflation outlook for the next fiscal year in the forecasts to be released this month, as rising oil prices are exerting more persistent price pressures on the economy than expected.Sources said that given that the Bank of Japan just raised interest rates last month, it is expected to maintain interest rates at the two-day policy meeting ending on October 30, unless the yen exchange rate falls significantly again, which would raise import costs and overall inflation levels.Sources indicated that the Bank of Japan may continue to emphasize the growing inflation risks in the quarterly report released after the meeting, leaving room for another rate hike as early as December. One of the sources pointed out that the increase in consumer prices may last longer than expected, although underlying inflation has not changed significantly. Two other sources also expressed the same view.

Financial Associated Press, October 20 - Amazon launched the open-source tool TorchNeuron on the 19th local time, aiming to lower the barrier for developers to transition from NVIDIA chips to its self-developed chips, challenging NVIDIA's software barrier built on CUDA. According to reports, this tool allows AI code written in PyTorch to run on Amazon's self-developed AI chips without the need for rewriting. PyTorch is maintained primarily by Meta and is described as an open-source framework used by most AI developers.Amazon's chip design department, Annapurna Labs, introduced that with TorchNeuron, developers only need to modify one configuration to run the same code on the self-developed Trainium chip. Amazon announced the launch of this tool on the 19th local time and plans to publicly release it in a free open-source format at the PyTorch conference in San Jose, California on the 20th.Colin Brace, Vice President of Software at Annapurna Labs, stated in an interview that the launch of TorchNeuron is intended to reduce the steps required for developers to try Amazon's self-developed chips, starting from the customers' existing workflows. He revealed that over 30 early customers are already using it, covering fields such as robotics, world models, and voice AI, and mentioned that switching to Amazon chips can save costs.

Google Research's open-source AI toolchain self-improvement framework Harness² allows AI Agents to automatically modify system prompts, memories, skills, tool rules, as well as scripts and plugins without retraining the model. The project is licensed under the Apache 2.0 license and supports OpenCode and Codex. Its core mechanism enables the Agent to learn through trial and error, proposing several improvement plans when encountering new tasks, which are then executed and compared by different versions of the Agent, ultimately combining to form a more suitable solution.Even without a standard answer, the system can seek improvement directions based on the actual execution process. After the task is completed, the system remembers which modifications were effective and the reasons for them, for reference in similar future problems. Google tested using GLM-5 and Gemini 3.5 Flash. On WorkBuddy-Bench, GLM-5 paired with OpenCode improved its average score from 64.2 to 75.7 after just one round of optimization, surpassing the unoptimized Gemini 3.5 Flash's score of 72.4.In legal task testing, the pass rate for GLM-5's partial scoring criteria increased from 59.6% to 71.4%. In the experiment, Claude Opus 4.8 was defaulted to propose and implement improvements, while GLM-5 and Gemini were primarily responsible for executing tasks, not relying entirely on their own evolution. Domestic developer Joseph Zhou demonstrated an experiment where Harness² integrated with Jev 1.14, claiming that the performance on visual tasks continuously improved.

Insiders revealed that the order to restrict Ukraine's access to the Star Shield system came from within the White House.

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.

Elon Musk just retweeted comments related to the open-source AI IP Claudia on the X platform. As a result, according to GMGN market data, the Claudia token on Solana briefly surged nearly 40%, with a market cap currently reported at 5.86 million USD.Last weekend, Musk retweeted a video themed around Claudia and praised in an interview that "some of Claudia's works could rank among the top 10-20 best music videos he has ever seen." Claudia was created by the biotech company aion co-founder anabology, aiming to make Claudia the open-source "Hatsune Miku" of the AI era. Anabology has stated that the transaction fees from the CLAUDIA token will be used to fund the production of related themed films.

According to PR Newswire, NFT Limited (stock code MI, formerly known as Takung Art), a company listed on the NYSE American, announced the proposed technical agreement RWAIX in Hong Kong on October 13 and released an open-source reference implementation on GitHub under the MIT license. The company operates an online trading platform for international artworks and collectibles, stating that the agreement is intended to allow buyers, sellers, AI agents, and robots to verify identities, confirm agreements, and ensure that deliveries actually occur, with the existing digital art platform intended to serve as the first real-world scenario.The company claims that internally managed test records show 50 tests passed with no failures, and it plans to launch a limited live pilot within 90 days after completing an independent security review and other conditions, targeting the first quarter of 2027. The reference implementation includes core protocol logic in Node.js, 50 automated test cases with expected outputs, schema and API documentation, as well as a browser demonstration using synthetic data. The company also stated that RWAIX has not yet been integrated into the production environment, and the related timeline may still be adjusted.The existing digital art trading platform is operated by its wholly-owned Hong Kong subsidiary, Metaverse Digital Payment Co., Limited. The pilot aims to first upgrade the consent purchase, delivery, independent verification, payment, and dispute resolution processes for an existing NFT order, using existing banking channels. CEO Yanying Wang stated that the company already has customers, orders, and payments, and plans to verify within the next 90 days whether the agreement can be used for real customer orders.