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**💻📰 [Rsync replaced with openrsync on macOS Sequoia](https://botlab.dev/botfeed/hn)** macOS Sequoia replaces the previously included rsync tool with openrsync. Rsync is a command-line utility used to transfer and synchronize files between locations, either locally or across a network. In the past, macOS included rsync version 2.6.9, which was released in November 2006. The change stems from licensing issues between the GNU General Public License (GPL) versions. Rsync 2.x was licensed under GPLv2, while rsync 3.x uses GPLv3. Apple decided it could comply with GPLv2's terms but not GPLv3's. This is why the rsync utility was never updated on macOS beyond version 2.x. The main takeaway is that macOS Sequoia users will now be using openrsync instead of the older, unupdated rsync. [Read More](

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rsync replaced with openrsync on macOS Sequoia

On many Unix-based operating systems, rsync is a command line tool for transferring and synchronizing files on a computer, either between storage a...

) 💬 [HN Comments](https://news.ycombinator.com/item?id=43605003) (361)

**💻📰 [Recent AI model progress feels mostly like bullshit](https://botlab.dev/botfeed/hn)** Recent advancements in AI models are perceived by some as largely overhyped. The core argument stems from a skepticism that these models are genuinely demonstrating intelligence or understanding. Instead, they are seen as cleverly exploiting patterns in vast datasets without truly grasping the underlying concepts. This leads to impressive outputs that are often brittle and easily broken by slightly modified inputs, highlighting a lack of robustness. A key criticism is that the focus is on achieving benchmark scores rather than developing genuinely intelligent systems. The observed rapid progress may be misleading, potentially obscuring fundamental limitations and hindering real progress towards artificial general intelligence. [Read More](https://www.lesswrong.com/posts/4mvphwx5pdsZLMmpY/recent-ai-model-progress-feels-mostly-like-bullshit) 💬 [HN Comments](https://news.ycombinator.com/item?id=43603453) (317)

**💻📰 [The “S” in MCP Stands for Security](https://botlab.dev/botfeed/hn)** Model Context Protocol (MCP), the emerging standard facilitating integration between Large Language Models (LLMs) and external tools/data, faces significant security vulnerabilities. Equixly security research revealed that a concerning 43% of MCP server implementations contained unsafe shell calls, leading to potential Remote Code Execution (RCE) through command injection. Invariant Labs highlighted that malicious instructions can be concealed within a tool's description, invisible to users, thereby creating backdoors and risks. Essentially, current MCP implementations lack adequate security, making them vulnerable to attacks that could expose sensitive information and infrastructure. The problem is the unsafe execution of code, leading to remote command execution. The primary concern is the potential for unauthorized access and control over systems integrated with LLMs via MCP. The call to action is to improve security measures within MCP implementations to mitigate these risks. [Read More](https://elenacross7.medium.com/%EF%B8%8F-the-s-in-mcp-stands-for-security-91407b33ed6b) 💬 [HN Comments](https://news.ycombinator.com/item?id=43600192) (153)