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Hacking Google with A.I. for $500,000

A security researcher used an AI fuzzing harness against 1,500+ Google APIs and earned $500,000 in bug bounties, surfacing access-control flaws across Google Voice, Widevine, AdExchange, and internal Cloud Console GraphQL endpoints... read more  

Hacking Google with A.I. for $500,000
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I built a Go microservices framework in 2017.

Aafaq Zahid open-sourced Keel, a Go microservices framework he extracted from eight years of production systems... read more  

I built a Go microservices framework in 2017.
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Kubernetes' Default CoreDNS Configuration is insecure

CoreDNS pods insecure option is the default in Kubernetes as it allows for the creation of arbitrary DNS A records. Combined with wildcard SSL certs, it poses a security risk, highlighted by Cilium's handling of network policies in the face of DNS manipulation. Time to shift to a more secure DNS con.. read more  

Kubernetes' Default CoreDNS Configuration is insecure
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Eliminating Kubernetes Image Signature Replication

The Kubernetes image promoter no longer replicates container image signatures across regions. The rewrite drops that replication entirely, cuts latency, and simplifies the codebase, while keeping signature verification working seamlessly for end users. Next, the project is moving to OCI 1.1 referrer.. read more  

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Benchmarking KubeVirt performance with virtbench

Portworx released "virtbench," an open-source CLI that lets platform teams run reproducible KubeVirt benchmarks and assess VM readiness, rather than rely on pod health as a proxy... read more  

Benchmarking KubeVirt performance with virtbench
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Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms

This post discusses the challenges of leveraging distributed resources for AI workloads and the role of Kubernetes in addressing these challenges. The k0smos stack is highlighted as a solution for operating geo-distributed AI infrastructure, divided into three technical layers: k0s, k0smotron, and k.. read more  

Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms
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From Dashboard to Headlamp: Understanding the Transition

The Kubernetes Dashboard project has been archived, with Headlamp now carrying the legacy forward by offering a visual interface with enhanced capabilities like multi-cluster visibility and application-centric views. Headlamp keeps familiar workflows, while expanding to support multi-cluster environ.. read more  

From Dashboard to Headlamp: Understanding the Transition
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Making a vintage LLM from scratch

Croqaz shows how he built Vintage LLM, a Llama-style model trained on English books, newspapers, and other texts published before 1900. He covers corpus selection, cleaning, tokenizer choices, training setup, evaluation, and how pre-20th-century English affects model behavior... read more  

Making a vintage LLM from scratch
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ChatGPhish: The Page Is the Payload

By appending a payload to any web page summarized by ChatGPT, an attacker can leak IP, User-Agent, and launch phishing attacks using live links and images inside the assistant UI. This browser-based prompt injection raises the bar for phishing and tracking, bypassing traditional defenses... read more  

ChatGPhish: The Page Is the Payload
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Statement on the US government directive to suspend access to Fable 5 and Mythos 5

Anthropic staff disabled Fable 5 and Mythos 5 for all customers after U.S. officials issued an export-control directive that barred foreign nationals from accessing the models, citing a suspected jailbreak... read more  

Statement on the US government directive to suspend access to Fable 5 and Mythos 5
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).