The article discusses Browser Use, an open source AI agent system that offers a cost-free alternative to OpenAI's Operator. Browser Use provides flexibility by allowing users to choose their preferred AI model and comes with both a cloud and an open-source DIY version. This development is part of a broader trend in 2025 towards open source AI, challenging the dominance of expensive proprietary products.
A tutorial on creating a data dashboard prototype using Goodreads reading data and generative AI tools like Vizro-AI. The process includes chart generation, setup of a Jupyter Notebook, and deployment on PyCafe.
This speculative article explores the idea that GPT-5 might already exist internally at OpenAI but is being withheld from public release due to cost and performance considerations. It draws parallels with Anthropic's handling of a similar situation with Claude Opus 3.5, suggesting that both companies might be using larger models internally to improve smaller models without incurring high public-facing costs. The author examines the potential motivations behind such decisions, including cost control, performance expectations, and strategic partnerships.
MarkItDown is a utility for converting various files to Markdown, including PDF, PowerPoint, Word, Excel, Images, Audio, HTML, text-based formats, and ZIP files.
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.
### 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.
An analysis showing that structured outputs can sometimes perform worse than unstructured ones in certain tasks for different LLM models, emphasizing the importance of testing both approaches.
A script utilizing OpenAI's Llama models to interact within a terminal environment, allowing the models to execute Python code and communicate based on predefined prompts.
Helion, backed by OpenAI, claims to be on track to build its first fusion plant within the next five years, but experts are skeptical of the timeline.
The company's Polaris reactor design uses an electromagnetic coil system to generate a 50-megawatt electrical output, with a planned location in Washington state, USA.
The company's Polaris reactor design uses an electromagnetic coil system to generate a 50-megawatt electrical output, with a planned location in Washington state, USA.
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.
This post explores using GPT-4o's structured output feature for web scraping, highlighting its strengths, limitations, and cost considerations.
