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ton

TON (The Open Network) is a completely decentralized Layer 1 blockchain designed by Telegram. It is known for its ultra-fast transaction speeds, low fees, user-friendly applications, and environmental friendliness.
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OpenAI reveals autonomous vulnerability pipeline: a run that produced 948 local privilege escalation vulnerabilities in Linux

According to disclosures from OpenAI's official website, the company has established an autonomous security research pipeline covering vulnerability discovery, dynamic verification, exploitability assessment, and patch generation. In a run centered on an upcoming network model, the pipeline completed scanning and verification of targets related to the Linux kernel, generating 948 exploits that can achieve local privilege escalation (LPE) on commonly used Linux distributions, with an API cost of approximately $1.213 million, or about $1,279 per LPE exploit.It was reported that the pipeline identified and analyzed a total of 2,308 candidate discoveries, dynamically reproducing 1,724 vulnerabilities, and producing 291 information leakage proofs of concept (PoC); the target virtual machine ran a standard desktop system with complete protection. The Scout agent initially identified about 5,034 audit targets (approximately 2.8 million lines of code, accounting for about 7% of the kernel), and the Analyst agent produced candidate discoveries in about 12 hours. OpenAI stated that it has prioritized reporting critical vulnerability patches as recommended by the Linux community and continues to advance the remaining reports in collaboration with Patch the Planet partners.OpenAI also mentioned that in the adapted kernelCTF environment, an additional 25 information leakage PoCs and 21 LPEs were obtained; among 166 sampled exploits, the agent reportedly used at least 10 newer Linux exploitation techniques that it deemed more recent. The company emphasized that maintainers are quick to fix: over 100 LPEs have been patched or entered temporary patches within about 10 days of scanning, and approximately 300 others have entered public discussion.

first_img Proton CTO: Programming is dead, engineers should help models write code

The privacy email and VPN service provider Proton publicly shared an internal memo titled "AI @ Proton, Engineering Manifesto," written by Chief Technology Officer Bart Butler about a month ago. The memo states that software engineering has undergone irreversible changes this year, as large language models and their tools can now write code. A senior Proton engineer indicated that no one in their business unit is writing code by hand anymore. Butler believes that the era of manually writing excellent code is over; time-consuming tasks such as documentation, testing, and boilerplate code can be handled by models, which can also participate in architecture and system design discussions.Butler pointed out that although engineers are widely using large language models, Proton's productivity has not significantly improved for three reasons. First, the engineering culture needs to shift; the work of engineers is no longer to write code but to help models write better code faster. Each engineer should become a team leader for models and agents, promoting their autonomous and continuous work, and reducing repetitive failures through repository-level context, shared skills, and prompts. Second, the company is still in the first phase of using models to accelerate existing processes and needs to enter the second phase, which involves eliminating bottlenecks across continuous integration, design, approval, specifications, and code review, with the expectation that most manual code reviews will come to an end. Third, there is a collective action problem between individual use of models and the overall transformation of company processes, as the organization has not invested enough resources.The memo emphasizes that this is not the end of expertise or good engineering practices; maintainability, documentation, and testing remain critical, but best practices will adjust with changes in cost and capability. Butler wrote, "Programming is dead," but engineering and professional skills have not vanished. The new responsibility of engineers is to continuously optimize and maximize automation as builders, and Proton will organize and allocate resources to complete this transformation. Proton stated that the memo is not an in-depth discussion of engineering documents related to security, reliability, or infrastructure. It also mentioned that technology companies have laid off over one million people in recent years, and Microsoft proposed 60,000 buyout offers last week.
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