The ESP32-S3 AI Camera is a high-performance intelligent camera module designed for efficient video processing, edge AI, and voice interaction. Features include edge image recognition, night vision, and wireless connectivity.
An analysis of how well different AI systems perform in describing images and answering questions about them. The article compares ChatGPT, Gemini, Llama, and Claude using four images: a hand, a bottle of wine, a piece of pastry, and a flower.
OpenAI is blaming one of the longest outages in its history on a 'new telemetry service' gone awry, which caused major disruptions to ChatGPT, Sora, and its developer-facing API.
Postmortem Incident Investigation Report
Incident Summary
On December 13, 2024, OpenAI experienced a major service outage affecting its AI-powered chatbot platform, ChatGPT, its video generator, Sora, and its developer-facing API. The incident began around 3 p.m. Pacific Time and lasted approximately three hours before all services were fully restored.
Root Cause
The outage was caused by the deployment of a new telemetry service designed to collect Kubernetes metrics. This telemetry service was intended to monitor Kubernetes operations, but an issue with its configuration inadvertently triggered resource-intensive Kubernetes API operations.
Detailed Analysis
- New Telemetry Service: The telemetry service was rolled out to collect Kubernetes metrics. However, its configuration led to unintended and resource-intensive Kubernetes API operations.
- Kubernetes API Overload: The resource-intensive operations overwhelmed the Kubernetes API servers, disrupting the Kubernetes control plane in most large Kubernetes clusters.
- DNS Resolution Impact: The affected Kubernetes control plane impacted DNS resolution, a critical component that converts IP addresses to domain names. This complication delayed visibility into the full scope of the problem and allowed the rollout to continue before the issues were fully understood.
- DNS Caching: The use of DNS caching further delayed visibility and slowed the implementation of a fix, as the system relied on cached information rather than the actual, disrupted state.
Mitigating Factors
- Detection Delay: OpenAI detected the issue "a few minutes" before customers noticed the impact, but was unable to quickly implement a fix due to the overwhelmed Kubernetes servers.
- Testing Shortcomings: The testing procedures did not catch the impact of the changes on the Kubernetes control plane, leading to a slow remediation process.
Preventive Measures
- Improved Monitoring: Implementing better monitoring for infrastructure changes to detect issues early.
- Phased Rollouts: Adopting phased rollouts with enhanced monitoring to ensure smoother deployment and quicker detection of issues.
- Kubernetes API Access: Ensuring that OpenAI engineers have mechanisms to access the Kubernetes API servers under any circumstances to improve the remediation speed.
Researchers developed RoboPAIR, an algorithm designed to jailbreak robots controlled by large language models (LLMs), demonstrating a high success rate across multiple robotic systems.
OpenAI claims that using ChatGPT to create fake social media posts has made it easier to detect cyber threats from bad actors, as seen in their recent report.
A guide on how to create and use the bubble mode in Emacs for selecting and manipulating code regions, including expanding and shifting regions, and how to integrate it with LLM queries.
This Splunk Lantern blog post highlights new articles on instrumenting LLMs with Splunk, leveraging Kubernetes for Splunk, and using Splunk Asset and Risk Intelligence.
Exploring physical interface design for LLMs, with projects like AIncense and TinyChat Computer, empowering users through tangible experiences.
The article discusses the integration of Large Language Models (LLMs) and search engines, exploring two themes: Search4LLM, which focuses on enhancing LLMs using search engines, and LLM4Search, which looks at improving search engines with LLMs.
A recent TechRadar poll found that Grammarly has emerged as a surprise hit among AI tools, with 584 monthly users. ChatGPT remains the most popular tool, while Microsoft Copilot and Google Gemini also showed strong results.
