Tag: problem

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Source URL: https://cloud.google.com/blog/products/containers-kubernetes/introducing-kube-resource-orchestrator/ Source: Cloud Blog Title: Simplify the developer experience on Kubernetes with KRO Feedly Summary: We are thrilled to announce the collaboration between Google Cloud, AWS, and Azure on Kube Resource Orchestrator, or kro (pronounced “crow”). kro introduces a Kubernetes-native, cloud-agnostic way to define groupings of Kubernetes resources. With kro, you can group…

Hacker News: California Law Enforcement Misused State Databases More Than 7k Times in 2023

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Source URL: https://www.eff.org/deeplinks/2025/01/california-police-misused-state-databases-more-7000-times-2023 Source: Hacker News Title: California Law Enforcement Misused State Databases More Than 7k Times in 2023 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant misuse of sensitive criminal justice data by the Los Angeles County Sheriff’s Department (LACSD) and other California law enforcement agencies in 2023, highlighting…

Krebs on Security: Infrastructure Laundering: Blending in with the Cloud

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Source URL: https://krebsonsecurity.com/2025/01/infrastructure-laundering-blending-in-with-the-cloud/ Source: Krebs on Security Title: Infrastructure Laundering: Blending in with the Cloud Feedly Summary: In an effort to blend in and make their malicious traffic tougher to block, hosting firms catering to cybercriminals in China and Russia increasingly are funneling their operations through major U.S. cloud providers. Research published this week on…

Hacker News: Scalable OLTP in the Cloud: What’s the Big Deal?

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Source URL: http://muratbuffalo.blogspot.com/2024/01/scalable-oltp-in-cloud-whats-big-deal.html Source: Hacker News Title: Scalable OLTP in the Cloud: What’s the Big Deal? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a paper by Pat Helland, which explores the scalability limits of cloud OLTP systems and emphasizes the joint responsibility of the database and application in achieving effective…

Hacker News: Majority of US teens have lost trust in Big Tech

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Source URL: https://techcrunch.com/2025/01/29/report-majority-of-u-s-teens-have-lost-trust-in-big-tech/ Source: Hacker News Title: Majority of US teens have lost trust in Big Tech Feedly Summary: Comments AI Summary and Description: Yes Summary: A new report by Common Sense Media reveals that American teens have significantly lost their trust in major tech companies, particularly concerning their use of AI and personal data…

Simon Willison’s Weblog: How we estimate the risk from prompt injection attacks on AI systems

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Source URL: https://simonwillison.net/2025/Jan/29/prompt-injection-attacks-on-ai-systems/ Source: Simon Willison’s Weblog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: How we estimate the risk from prompt injection attacks on AI systems The “Agentic AI Security Team" at Google DeepMind share some details on how they are researching indirect prompt injection attacks. They…

Hacker News: An Analysis of DeepSeek’s R1-Zero and R1

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Source URL: https://arcprize.org/blog/r1-zero-r1-results-analysis Source: Hacker News Title: An Analysis of DeepSeek’s R1-Zero and R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implications and potential of the R1-Zero and R1 systems from DeepSeek in the context of AI advancements, particularly focusing on their competitive performance against existing LLMs like OpenAI’s…

Hacker News: Effective AI code suggestions: less is more

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Source URL: https://www.qodo.ai/blog/effective-code-suggestions-llms-less-is-more/ Source: Hacker News Title: Effective AI code suggestions: less is more Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges of implementing prioritization in code suggestion generation using LLMs and presents a novel solution that focuses solely on identifying significant bugs and problems. This shift led to…

Hacker News: How to run DeepSeek R1 locally

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