Tag: rack

  • Slashdot: Encryption Made For Police and Military Radios May Be Easily Cracked

    Source URL: https://it.slashdot.org/story/25/08/07/217234/encryption-made-for-police-and-military-radios-may-be-easily-cracked Source: Slashdot Title: Encryption Made For Police and Military Radios May Be Easily Cracked Feedly Summary: AI Summary and Description: Yes Summary: The text highlights critical vulnerabilities in an encryption algorithm widely used in radios for essential sectors, including law enforcement and military. After researchers discovered a backdoor in the original algorithm,…

  • Wired: Encryption Made for Police and Military Radios May Be Easily Cracked

    Source URL: https://www.wired.com/story/encryption-made-for-police-and-military-radios-may-be-easily-cracked-researchers-find/ Source: Wired Title: Encryption Made for Police and Military Radios May Be Easily Cracked Feedly Summary: Researchers found that an encryption algorithm likely used by law enforcement and special forces can have weaknesses that could allow an attacker to listen in. AI Summary and Description: Yes Summary: The text highlights a critical…

  • Schneier on Security: China Accuses Nvidia of Putting Backdoors into Their Chips

    Source URL: https://www.schneier.com/blog/archives/2025/08/china-accuses-nvidia-of-putting-backdoors-into-their-chips.html Source: Schneier on Security Title: China Accuses Nvidia of Putting Backdoors into Their Chips Feedly Summary: The government of China has accused Nvidia of inserting a backdoor into their H20 chips: China’s cyber regulator on Thursday said it had held a meeting with Nvidia over what it called “serious security issues” with…

  • Slashdot: Nvidia Rejects US Demand For Backdoors in AI Chips

    Source URL: https://news.slashdot.org/story/25/08/06/145218/nvidia-rejects-us-demand-for-backdoors-in-ai-chips Source: Slashdot Title: Nvidia Rejects US Demand For Backdoors in AI Chips Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s chief security officer has firmly stated that the company’s GPUs should not have “kill switches” or backdoors, amidst ongoing legislative pressures in the US for increased control and security measures over…

  • Krebs on Security: Who Got Arrested in the Raid on the XSS Crime Forum?

    Source URL: https://krebsonsecurity.com/2025/08/who-got-arrested-in-the-raid-on-the-xss-crime-forum/ Source: Krebs on Security Title: Who Got Arrested in the Raid on the XSS Crime Forum? Feedly Summary: On July 22, 2025, the European police agency Europol said a long-running investigation led by the French Police resulted in the arrest of a 38-year-old administrator of XSS, a Russian-language cybercrime forum with more than…

  • Cloud Blog: Announcing AI-first Colab notebook experience for Google Cloud

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-first-colab-notebooks-in-bigquery-and-vertex-ai/ Source: Cloud Blog Title: Announcing AI-first Colab notebook experience for Google Cloud Feedly Summary: At Google I/O 2025, we announced a new, reimagined AI-first Colab with agentic capabilities, making it a true coding partner that understands your current code, actions, intentions, and goals. Today, we are excited to bring these capabilities to…

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Simon Willison’s Weblog: Claude Opus 4.1

    Source URL: https://simonwillison.net/2025/Aug/5/claude-opus-41/ Source: Simon Willison’s Weblog Title: Claude Opus 4.1 Feedly Summary: Claude Opus 4.1 Surprise new model from Anthropic today – Claude Opus 4.1, which they describe as “a drop-in replacement for Opus 4". My favorite thing about this model is the version number – treating this as a .1 version increment looks…