Tag: AI security

  • The Register: Chip bans? LOL! Chinese web giant Tencent says it has enough GPUs for future AI model training

    Source URL: https://www.theregister.com/2025/05/15/tencent_q1_25/ Source: The Register Title: Chip bans? LOL! Chinese web giant Tencent says it has enough GPUs for future AI model training Feedly Summary: Partly because America does AI wrong and it can get more done with less Chinese web giant Tencent says it has enough high-end GPUs to train new AI models…

  • Wired: Google DeepMind’s AI Agent Dreams Up Algorithms Beyond Human Expertise

    Source URL: https://www.wired.com/story/google-deepminds-ai-agent-dreams-up-algorithms-beyond-human-expertise/ Source: Wired Title: Google DeepMind’s AI Agent Dreams Up Algorithms Beyond Human Expertise Feedly Summary: A new system that combines Gemini’s coding abilities with an evolutionary approach  improves datacenter scheduling, chip design, and fine-tune large language models. AI Summary and Description: Yes **Summary:** The text discusses an innovative system that merges Gemini’s…

  • Slashdot: US Warns Against Using Huawei Chips ‘Anywhere in the World’

    Source URL: https://slashdot.org/story/25/05/14/140235/us-warns-against-using-huawei-chips-anywhere-in-the-world?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: US Warns Against Using Huawei Chips ‘Anywhere in the World’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the U.S. government’s increased scrutiny on Chinese technology, specifically regarding AI chips manufactured by Huawei, and outlines how their use could lead to legal consequences under U.S. export…

  • The Register: Everyone’s deploying AI, but no one’s securing it – what could go wrong?

    Source URL: https://www.theregister.com/2025/05/14/cyberuk_ai_deployment_risks/ Source: The Register Title: Everyone’s deploying AI, but no one’s securing it – what could go wrong? Feedly Summary: Crickets as senior security folk asked about risks at NCSC conference CYBERUK Peter Garraghan – CEO of Mindgard and professor of distributed systems at Lancaster University – asked the CYBERUK audience for a…

  • Simon Willison’s Weblog: LLM 0.26a0 adds support for tools!

    Source URL: https://simonwillison.net/2025/May/14/llm-adds-support-for-tools/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.26a0 adds support for tools! Feedly Summary: LLM 0.26a0 adds support for tools! It’s only an alpha so I’m not going to promote this extensively yet, but my LLM project just grew a feature I’ve been working towards for nearly two years now: tool support! I’m…

  • SDx Central: Cloud Security Alliance partners with Whistic to enhance AI security practices

    Source URL: https://www.sdxcentral.com/news/cloud-security-alliance-partners-with-whistic-to-enhance-ai-security-practices/ Source: SDx Central Title: Cloud Security Alliance partners with Whistic to enhance AI security practices Feedly Summary: Cloud Security Alliance partners with Whistic to enhance AI security practices AI Summary and Description: Yes Summary: The partnership between the Cloud Security Alliance (CSA) and Whistic focuses on promoting secure practices for generative artificial…

  • Simon Willison’s Weblog: Vision Language Models (Better, Faster, Stronger)

    Source URL: https://simonwillison.net/2025/May/13/vision-language-models/#atom-everything Source: Simon Willison’s Weblog Title: Vision Language Models (Better, Faster, Stronger) Feedly Summary: Vision Language Models (Better, Faster, Stronger) Extremely useful review of the last year in vision and multi-modal LLMs. So much has happened! I’m particularly excited about the range of small open weight vision models that are now available. Models…

  • Rekt: MobiusDAO – Rekt

    Source URL: https://www.rekt.news/mobiusdao-rekt Source: Rekt Title: MobiusDAO – Rekt Feedly Summary: 67 cents minted 9.73 quadrillion MBU via a double-decimal bug, letting an attacker siphon $2.15 million, dump tokens, and vanish through Tornado Cash. MobiusDAO went from launch to zero in three days – undone by math nobody may have bothered to test. AI Summary…