Tag: research
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Hacker News: Palantir Secures $99M Army Contract for User-Centered ML
Source URL: https://executivegov.com/2024/09/palantir-army-contract-user-centered-ml/ Source: Hacker News Title: Palantir Secures $99M Army Contract for User-Centered ML Feedly Summary: Comments AI Summary and Description: Yes Summary: Palantir Technologies has secured a significant $99.2 million contract from the U.S. Army to advance user-centered machine learning (UCML). This initiative highlights the increasing integration of AI and ML in military…
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Schneier on Security: Prompt Injection Defenses Against LLM Cyberattacks
Source URL: https://www.schneier.com/blog/archives/2024/11/prompt-injection-defenses-against-llm-cyberattacks.html Source: Schneier on Security Title: Prompt Injection Defenses Against LLM Cyberattacks Feedly Summary: Interesting research: “Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks“: Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new defense…
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NCSC Feed: The leaky pipe of secure coding
Source URL: https://www.ncsc.gov.uk/blog-post/leaky-pipe-secure-coding Source: NCSC Feed Title: The leaky pipe of secure coding Feedly Summary: Helen L discusses how security can be woven more seamlessly into the development process. AI Summary and Description: Yes Summary: The text emphasizes the necessity of accepting software vulnerabilities as an inherent risk while promoting a developer-centered approach to security.…
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Schneier on Security: Subverting LLM Coders
Source URL: https://www.schneier.com/blog/archives/2024/11/subverting-llm-coders.html Source: Schneier on Security Title: Subverting LLM Coders Feedly Summary: Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often…
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Simon Willison’s Weblog: yet-another-applied-llm-benchmark
Source URL: https://simonwillison.net/2024/Nov/6/yet-another-applied-llm-benchmark/#atom-everything Source: Simon Willison’s Weblog Title: yet-another-applied-llm-benchmark Feedly Summary: yet-another-applied-llm-benchmark Nicholas Carlini introduced this personal LLM benchmark suite back in February as a collection of over 100 automated tests he runs against new LLM models to evaluate their performance against the kinds of tasks he uses them for. There are two defining features…
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Hacker News: Why the deep learning boom caught almost everyone by surprise
Source URL: https://www.understandingai.org/p/why-the-deep-learning-boom-caught Source: Hacker News Title: Why the deep learning boom caught almost everyone by surprise Feedly Summary: Comments AI Summary and Description: Yes Summary: The text chronicles the pivotal moments and contributions surrounding the development of neural networks, specifically highlighting the significance of the ImageNet dataset, created by Fei-Fei Li. It outlines how…
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Hacker News: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning
Source URL: https://arxiv.org/abs/2411.02337 Source: Hacker News Title: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces WebRL, a novel framework that employs self-evolving online curriculum reinforcement learning to enhance the training of large language models (LLMs) as web agents. This development is…