Tag: Validation
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Slashdot: Generative AI Doesn’t Have a Coherent Understanding of the World, MIT Researchers Find
Source URL: https://slashdot.org/story/24/11/10/1911204/generative-ai-doesnt-have-a-coherent-understanding-of-the-world-mit-researchers-find Source: Slashdot Title: Generative AI Doesn’t Have a Coherent Understanding of the World, MIT Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study from MIT revealing that while generative AI, particularly large language models (LLMs), exhibit impressive capabilities, they fundamentally lack a coherent understanding of the…
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Hacker News: Show HN: Dracan – Open-source, 1:1 proxy with simple filtering/validation config
Source URL: https://github.com/Veinar/dracan Source: Hacker News Title: Show HN: Dracan – Open-source, 1:1 proxy with simple filtering/validation config Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Dracan, a middleware security solution designed to enhance request filtering and validation within Kubernetes environments. Its main features include HTTP method filtering, JSON validation, request…
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The Cloudflare Blog: How we prevent conflicts in authoritative DNS configuration using formal verification
Source URL: https://blog.cloudflare.com/topaz-policy-engine-design Source: The Cloudflare Blog Title: How we prevent conflicts in authoritative DNS configuration using formal verification Feedly Summary: We describe how Cloudflare uses a custom Lisp-like programming language and formal verifier (written in Racket and Rosette) to prevent logical contradictions in our authoritative DNS nameserver’s behavior. AI Summary and Description: Yes Summary:…
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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: PiML: Python Interpretable Machine Learning Toolbox
Source URL: https://github.com/SelfExplainML/PiML-Toolbox Source: Hacker News Title: PiML: Python Interpretable Machine Learning Toolbox Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces PiML, a new Python toolbox designed for interpretable machine learning, offering a mix of low-code and high-code APIs. It focuses on model transparency, diagnostics, and various metrics for model evaluation,…
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Anchore: Anchore on AWS Marketplace and joins ISV Accelerate
Source URL: https://anchore.com/blog/anchore-on-aws-marketplace-and-joins-isv-accelerate/ Source: Anchore Title: Anchore on AWS Marketplace and joins ISV Accelerate Feedly Summary: We are excited to announce two significant milestones in our partnership with Amazon Web Services (AWS) today: Organizations like Nvidia, Cisco Umbrella and Infoblox validate our commitment to delivering trusted solutions for SBOM management, secure software supply chains, and…
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Schneier on Security: AIs Discovering Vulnerabilities
Source URL: https://www.schneier.com/blog/archives/2024/11/ais-discovering-vulnerabilities.html Source: Schneier on Security Title: AIs Discovering Vulnerabilities Feedly Summary: I’ve been writing about the possibility of AIs automatically discovering code vulnerabilities since at least 2018. This is an ongoing area of research: AIs doing source code scanning, AIs finding zero-days in the wild, and everything in between. The AIs aren’t very…