Tag: day

  • Tomasz Tunguz: 1000x Increase in AI Demand

    Source URL: https://www.tomtunguz.com/nvda-2025-05-29/ Source: Tomasz Tunguz Title: 1000x Increase in AI Demand Feedly Summary: NVIDIA announced earnings yesterday. In addition to continued exceptional growth, the most interesting observations revolve around a shift from simple one-shot AI to reasoning. Reasoning improves accuracy for robots – like telling a person to stop and think about an answer…

  • Anchore: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches

    Source URL: https://anchore.com/blog/false-positives-and-false-negatives-in-vulnerability-scanning/ Source: Anchore Title: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches Feedly Summary: When Good Scanners Flag Bad Results Imagine this: Friday afternoon, your deployment pipeline runs smoothly, tests pass, and you’re ready to push that new release to production. Then suddenly: BEEP BEEP BEEP – your vulnerability…

  • Simon Willison’s Weblog: llm-tools-exa

    Source URL: https://simonwillison.net/2025/May/29/llm-tools-exa/ Source: Simon Willison’s Weblog Title: llm-tools-exa Feedly Summary: llm-tools-exa When I shipped LLM 0.26 yesterday one of the things I was most excited about was seeing what new tool plugins people would build for it. Dan Turkel’s llm-tools-exa is one of the first. It adds web search to LLM using Exa (previously),…

  • Simon Willison’s Weblog: llm-mistral 0.14

    Source URL: https://simonwillison.net/2025/May/29/llm-mistral-014/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.14 Feedly Summary: llm-mistral 0.14 I added tool-support to my plugin for accessing the Mistral API from LLM today, plus support for Mistral’s new Codestral Embed embedding model. An interesting challenge here is that I’m not using an official client library for llm-mistral – I rolled…

  • Simon Willison’s Weblog: Codestral Embed

    Source URL: https://simonwillison.net/2025/May/28/codestral-embed/#atom-everything Source: Simon Willison’s Weblog Title: Codestral Embed Feedly Summary: Codestral Embed Brand new embedding model from Mistral, specifically trained for code. Mistral claim that: Codestral Embed significantly outperforms leading code embedders in the market today: Voyage Code 3, Cohere Embed v4.0 and OpenAI’s large embedding model. The model is designed to work…

  • ISC2 Think Tank: Certified Secure Software Lifecycle Professional (CSSLP) Info Session

    Source URL: https://www.isc2.org/professional-development/webinars/thinktank?commid=642637 Source: ISC2 Think Tank Title: Certified Secure Software Lifecycle Professional (CSSLP) Info Session Feedly Summary: Join us for a deep dive into Certified Secure Software Lifecycle Professional (CSSLP), the software security credential from ISC2, creator of the CISSP. As organizations continue to pursue digital transformation initiatives, the threat landscape is always expanding.…

  • Cloud Blog: Google Distributed Cloud (GDC) & GDC air-gapped appliance achieve DoD Impact Level 6 (IL6) authorization

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-distributed-cloud-gdc-gdc-air-gapped-appliance-achieve-dod-impact-level-6-il6-authorization/ Source: Cloud Blog Title: Google Distributed Cloud (GDC) & GDC air-gapped appliance achieve DoD Impact Level 6 (IL6) authorization Feedly Summary: Today, we’re thrilled to announce another significant milestone for our Google Public Sector business: Google Distributed Cloud (GDC) & GDC air-gapped appliance achieved Department of Defense (DoD) Impact Level 6 (IL6)…

  • Simon Willison’s Weblog: Large Language Models can run tools in your terminal with LLM 0.26

    Source URL: https://simonwillison.net/2025/May/27/llm-tools/ Source: Simon Willison’s Weblog Title: Large Language Models can run tools in your terminal with LLM 0.26 Feedly Summary: LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool – and Python library – to grant LLMs…