Cognichip: $60 Million Raised For Physics-Informed AI Chip Design Platform - Pulse 2.0
Cognichip: $60 Million Raised For Physics-Informed AI Chip Design Platform Pulse 2.0
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How to Use Claude Code for Security Audits: The Script That Found a 23-Year-Old Linux Bug
Learn the exact script and prompting technique used to find a 23-year-old Linux kernel vulnerability, and how to apply it to your own codebases. The Technique — A Simple Script for Systematic Audits At the [un]prompted AI security conference, Anthropic research scientist Nicholas Carlini revealed he used Claude Code to find multiple remotely exploitable heap buffer overflows in the Linux kernel, including one that had gone undetected for 23 years. The breakthrough wasn't a complex AI agent—it was a straightforward bash script that systematically directed Claude Code's attention. Carlini's script iterates over every file in a source tree, feeding each one to Claude Code with a specific prompt designed to bypass safety constraints and focus on vulnerability discovery. Why It Works — Context,
Loop Neighborhood Markets Deploys AI Agents to Store Associates
Loop Neighborhood Markets is equipping its store associates with AI agents. This move represents a tangible step in bringing autonomous AI systems from concept to the retail floor, aiming to augment employee capabilities. The Innovation — What the source reports Loop Neighborhood Markets, a convenience store chain, has begun providing AI agents to its store associates. While the source article is brief, the announcement itself is significant. It signals a shift from internal, back-office AI pilots to deploying agentic AI directly into the hands of frontline retail staff. The specific capabilities of these agents—whether for inventory queries, customer service support, or task management—are not detailed, but the operational intent is clear: to augment human workers with autonomous AI assis
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trunk/3c9726cdf76b01c44fac8473c2f3d6d11249099e: Replace erase idiom for map/set with erase_if (#179373)
C++20 provides std::erase_if(container, pred) which is equivalent to the following much longer code snippet for associative containers: auto it = container.begin(); while (it != container.end()) { if ( pred (*it)) { it = container. erase (it); } else { ++it; } } PyTorch now supports C++20: #176662 Pull Request resolved: #179373 Approved by: https://github.com/cyyever , https://github.com/Skylion007
How to Use Claude Code for Security Audits: The Script That Found a 23-Year-Old Linux Bug
Learn the exact script and prompting technique used to find a 23-year-old Linux kernel vulnerability, and how to apply it to your own codebases. The Technique — A Simple Script for Systematic Audits At the [un]prompted AI security conference, Anthropic research scientist Nicholas Carlini revealed he used Claude Code to find multiple remotely exploitable heap buffer overflows in the Linux kernel, including one that had gone undetected for 23 years. The breakthrough wasn't a complex AI agent—it was a straightforward bash script that systematically directed Claude Code's attention. Carlini's script iterates over every file in a source tree, feeding each one to Claude Code with a specific prompt designed to bypass safety constraints and focus on vulnerability discovery. Why It Works — Context,
Loop Neighborhood Markets Deploys AI Agents to Store Associates
Loop Neighborhood Markets is equipping its store associates with AI agents. This move represents a tangible step in bringing autonomous AI systems from concept to the retail floor, aiming to augment employee capabilities. The Innovation — What the source reports Loop Neighborhood Markets, a convenience store chain, has begun providing AI agents to its store associates. While the source article is brief, the announcement itself is significant. It signals a shift from internal, back-office AI pilots to deploying agentic AI directly into the hands of frontline retail staff. The specific capabilities of these agents—whether for inventory queries, customer service support, or task management—are not detailed, but the operational intent is clear: to augment human workers with autonomous AI assis
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