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10Claude Sonnet 4.6 System Card
The Claude Sonnet 4.6 System Card details the capabilities, limitations, and intended use of the Claude Sonnet 4.6 large language model from Anthropic. It covers performance benchmarks, safety measures, and potential risks associated with the model's deployment.
HackMyClaw
HackMyClaw is a prompt injection Capture The Flag (CTF) challenge designed to test and improve skills in prompt engineering and security. It allows participants to explore vulnerabilities and defense mechanisms in Large Language Models (LLMs).
The Long Tail of LLM-Assisted Decompilation
The post details the author's experiences decompiling the Snowboard Kids 2 game ROM with the assistance of LLMs, focusing on the challenges encountered after initial rapid progress, specifically within the long tail of increasingly complex functions. It covers workflow adaptations, tooling enhancements, and inherent limitations of LLMs when applied to difficult decompilation tasks.
State of Show HN 2025
The "State of Show HN 2025" post from Sturdy Statistics provides a satirical look at trends and developments in various fields. It offers humorous predictions and observations spanning technology, culture, and business, using a fictional future lens.
Kévin: "Q: I want to wash my car. The car wash is 50 mete…"
A Mastodon user, Kévin, poses a question to a LLM: whether to walk or drive to a car wash 50 meters away. The post includes attached images, and invites review of the LLM's hypothetical output.
Continuous batching from first principles
This Hugging Face blog post explains the concept of "continuous batching" for optimizing the throughput and latency of Large Language Models (LLMs). It details how continuous batching works from a first principles perspective, optimizing the computing and memory bandwidth to make the generation of responses more efficient.
Personal AI Agents like OpenClaw Are a Security Nightmare
Cisco Blogs highlights significant security concerns related to personal AI agents like OpenClaw, focusing on potential vulnerabilities such as LLMjacking, prompt injection, and compromised data security. The blog emphasizes the need for robust security measures and careful consideration of risks associated with integrating AI into personal and professional environments.
Do Spammers Dream of Electric Sheep? Characterizing the Prevalence of LLM-Generated Malicious Emails
The research paper analyzes the prevalence of malicious emails generated by Large Language Models (LLMs). It investigates the characteristics of these AI-generated spam emails and their potential impact on cybersecurity.
Ransomware 3.0: Self-Composing and LLM-Orchestrated
The research paper "Ransomware 3.0: Self-Composing and LLM-Orchestrated" explores the potential for leveraging Large Language Models (LLMs) to automate and enhance ransomware attacks. It discusses how LLMs could enable self-composing ransomware that adapts to different environments and improves attack effectiveness.
antoine wilson dot com
Antoine Wilson's website showcases his writing which covers a wide array of topics including artificial intelligence, sports business, and cultural trends. He frequently comments on technology including large language models and consumer products.