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@varbear shared a link, 2 weeks, 5 days ago
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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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The Smallest Brain You Can Build

Devarsh Ranpara builds a single-input perceptron from scratch in Python with browser demos, using the weight, bias, and decision boundary to show why a line forced through zero cannot separate classes that sit far from it... read more  

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@kaptain shared a link, 2 weeks, 5 days ago
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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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@kaptain shared a link, 2 weeks, 5 days ago
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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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@kaptain shared a link, 2 weeks, 5 days ago
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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The Kubernetes Dashboard project has been archived, with Headlamp now carrying the legacy forward by offering a visual interface with enhanced capabilities like multi-cluster visibility and application-centric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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@kaptain shared a link, 2 weeks, 5 days ago
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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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@kaptain shared a link, 2 weeks, 5 days ago
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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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@kala shared a link, 2 weeks, 5 days ago
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Announcing Stack Overflow for Agents

Stack Overflow's team opened the beta for "Stack Overflow for Agents", an API-first knowledge exchange that lets coding agents use Stack Overflow through human-owned accounts. The beta points to a clear model: developers connect agents to their own accounts, and Stack Overflow's team can link agent .. read more  

Announcing Stack Overflow for Agents
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@kala shared a link, 2 weeks, 5 days ago
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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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@kala shared a link, 2 weeks, 5 days ago
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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
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.