Tag: .NET
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Simon Willison’s Weblog: Quoting Johann Rehberger
Source URL: https://simonwillison.net/2024/Dec/17/johann-rehberger/ Source: Simon Willison’s Weblog Title: Quoting Johann Rehberger Feedly Summary: Happy to share that Anthropic fixed a data leakage issue in the iOS app of Claude that I responsibly disclosed. ๐ ๐ Image URL rendering as avenue to leak data in LLM apps often exists in mobile apps as well — typically…
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Simon Willison’s Weblog: Security ProbLLMs in xAI’s Grok: A Deep Dive
Source URL: https://simonwillison.net/2024/Dec/16/security-probllms-in-xais-grok/#atom-everything Source: Simon Willison’s Weblog Title: Security ProbLLMs in xAI’s Grok: A Deep Dive Feedly Summary: Security ProbLLMs in xAI’s Grok: A Deep Dive Adding xAI to the growing list of AI labs that shipped feature vulnerable to data exfiltration prompt injection attacks, but with the unfortunate addendum that they don’t seem to…
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Simon Willison’s Weblog: Veo 2
Source URL: https://simonwillison.net/2024/Dec/16/veo-2/#atom-everything Source: Simon Willison’s Weblog Title: Veo 2 Feedly Summary: Veo 2 Google’s text-to-video model, now available via waitlisted preview. I got through the waitlist and tried the same prompt I ran against OpenAI’s Sora last week: A pelican riding a bicycle along a coastal path overlooking a harbor It generated these four…
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Simon Willison’s Weblog: Phi-4 Technical Report
Source URL: https://simonwillison.net/2024/Dec/15/phi-4-technical-report/ Source: Simon Willison’s Weblog Title: Phi-4 Technical Report Feedly Summary: Phi-4 Technical Report Phi-4 is the latest LLM from Microsoft Research. It has 14B parameters and claims to be a big leap forward in the overall Phi series. From Introducing Phi-4: Microsoftโs Newest Small Language Model Specializing in Complex Reasoning: Phi-4 outperforms…
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Simon Willison’s Weblog: Quoting Riley Goodside
Source URL: https://simonwillison.net/2024/Dec/14/riley-goodside/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Riley Goodside Feedly Summary: An LLM knows every work of Shakespeare but canโt say which it read first. In this material sense a model hasnโt read at all. To read is to think. Only at inference is there space for serendipitous inspiration, which is why LLMs…
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Hacker News: Implementing network time security (NTP NTS) at the hardware level (2022)
Source URL: https://labs.ripe.net/author/christer-weinigel/implementing-network-time-security-at-the-hardware-level/ Source: Hacker News Title: Implementing network time security (NTP NTS) at the hardware level (2022) Feedly Summary: Comments AI Summary and Description: Yes Summary: The implementation of Network Time Security (NTS) at a hardware level offers significant advancements in securing Network Time Protocol (NTP) services. By addressing vulnerabilities inherent in the legacy…
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Simon Willison’s Weblog: OpenAI’s postmortem for API, ChatGPT & Sora Facing Issues
Source URL: https://simonwillison.net/2024/Dec/13/openai-postmortem/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI’s postmortem for API, ChatGPT & Sora Facing Issues Feedly Summary: OpenAI’s postmortem for API, ChatGPT & Sora Facing Issues OpenAI had an outage across basically everything for four hours on Wednesday. They’ve now published a detailed postmortem which includes some fascinating technical details about their “hundreds…
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Simon Willison’s Weblog: googleapis/python-genai
Source URL: https://simonwillison.net/2024/Dec/12/python-genai/#atom-everything Source: Simon Willison’s Weblog Title: googleapis/python-genai Feedly Summary: googleapis/python-genai Google released this brand new Python library for accessing their generative AI models yesterday, offering an alternative to their existing generative-ai-python library. The API design looks very solid to me, and it includes both sync and async implementations. Here’s an async streaming response:…