News linked to both this project and an event.
Odaily News AMD, the semiconductor giant, announced the launch of its enterprise-grade AI programming platform, AMD Instinct Coder. The platform combines AMD chips, Supermicro servers, and Spectro Cloud software, aiming to help enterprises deploy AI coding assistants locally, reduce the cost of cloud-based AI models, and protect code and data security.AMD stated that Instinct Coder is an "out-of-the-box" end-to-end AI development platform, integrating AMD EPYC processors, AMD Instinct GPUs, Supermicro AI servers, Spectro Cloud PaletteAI Inference Launchpad software, and the AMD-optimized GLM-5.2 model. It can be used for software development scenarios such as code generation, application modernization, automated testing, and code review.AMD said that compared to relying on cutting-edge cloud-based AI models, Instinct Coder can help enterprises reduce total cost of ownership (TCO) by up to 70%, with the fastest payback period shortened to 6 months.AMD noted that more and more enterprises are looking to leverage AI to improve development efficiency, but face two major challenges: on one hand, the cost of invoking top-tier cloud models continues to rise; on the other hand, entrusting enterprise source code, intellectual property, and sensitive data to third-party services poses security and compliance risks.Through a local deployment model, Instinct Coder allows enterprises to maintain control over their data and code while providing more predictable infrastructure costs. The platform supports development tools such as Claude Code, OpenAI Codex, Visual Studio Code, and Cursor, with each node supporting up to 50 users (30 concurrent users).Additionally, the PaletteAI Inference Launchpad provided by Spectro Cloud enables AI workload management, model routing, request auditing, and cost monitoring, and supports invoking external models such as Anthropic, OpenAI, Google, or xAI when needed.AMD stated that Instinct Coder aims to help enterprises break free from the high costs of cloud-based AI services, accelerate AI-driven software development processes while ensuring data security and autonomous control.
Odaily Planet Daily reported that Bitcoin News stated on the X platform that Coinkite said the vulnerability existed at the boundary between two unrelated firmware submodules, rather than in its Bitcoin or encryption code, which allowed it to evade both manual and AI-assisted code reviews for years. Coinkite stated that after the incident, the company tested cutting-edge AI models including Kimi K3, Claude Fable, and Codex 5.6, none of which identified the flaw. Coinkite is now urging security-critical projects to specifically audit build systems and submodule boundaries, and warned that AI-assisted development could leave similar blind spots in the Bitcoin ecosystem.
Odaily Odaily News: OpenAI Codex Product Lead Tibo announced that usage limits have been reset for all ChatGPT Work and Codex users.Tibo stated that recent user feedback indicated GPT-5.6 Sol was consuming Codex limits faster than anticipated. Following an investigation, OpenAI has implemented several optimizations. It is projected that under typical usage scenarios, Sol's limit endurance will improve by approximately 18%, with some users seeing more noticeable improvements starting today.He explained that Sol tends to work for longer periods, make additional tool calls, and coordinate complex processes, while High mode consumes more tokens compared to previous models. Additionally, factors such as parallel tool calls in code mode and increased cached input have also led to higher-than-expected usage for certain tasks.OpenAI stated that Sol represents a significant upgrade to Codex's capabilities, but increased model capabilities do not always translate into efficiency gains. The company will continue to optimize code mode efficiency and restore the five-hour limit that was suspended during the investigation.
According to an announcement on OpenAI’s official website, OpenAI has announced its acquisition of Ona, a security-focused cloud execution and orchestration technology company, to expand its Codex ecosystem. Codex currently boasts over 5 million weekly active users—a 400% increase since the beginning of the year. Ona previously served 2 million developers; its customer-controlled execution model enables AI agents to run continuously within an organization’s own cloud environment, meeting enterprise requirements for security, governance, and compliance. Following the acquisition, the Ona team will join OpenAI to help extend Codex into more enterprise-grade production workflows.
, Anthropic and OpenAI have experienced security incidents in succession, drawing market attention to the security of AI models themselves. Currently, Anthropic is investigating a possible case of unauthorized user access to its Claude Mythos model. Almost simultaneously, OpenAI was also reported to have accidentally opened access to several unreleased models within its Codex application.Analysts believe that such incidents highlight that even AI model providers focused on cybersecurity capabilities still face significant security challenges. While AI is increasingly used for cyber defense, platform security and access control are becoming critical risk points.Industry insiders point out that these vulnerability incidents have intensified scrutiny over the security governance capabilities of AI companies, and also reflect that the security systems of current AI technology still need improvement amid rapid development. (The Information)