klotz: openai*

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  1. The article discusses how Sam Altman, CEO of OpenAI, strategically outmaneuvered Elon Musk to become a key player in President Trump's administration regarding AI policies. Despite being a Democratic donor and critic of Trump, Altman leveraged his relationships with key figures like Doug Burgum, Larry Ellison, and Masayoshi Son to secure a $100 billion AI infrastructure project called Stargate. This project, announced by Trump, positions OpenAI at the center of the administration's AI agenda, aiming to stay ahead of China in AI development. The article also highlights the complex political maneuvers and funding challenges Altman faced, including a temporary firing from the OpenAI board and the need to secure investments from multiple sources.
    2025-02-10 Tags: , , , by klotz
  2. The article discusses four open-source AI research agents that serve as cost-effective alternatives to OpenAI’s Deep Research AI Agent. These alternatives offer robust search capabilities, AI-powered extraction, and reasoning features, allowing researchers to automate and optimize their workflows without incurring high costs.
  3. AI researchers at Stanford and the University of Washington trained an AI 'reasoning' model named s1 for under $50 using cloud compute credits. The model, which performs similarly to OpenAI’s o1 and DeepSeek’s R1, is available on GitHub. It was developed using distillation from Google’s Gemini 2.0 Flash Thinking Experimental model and demonstrates strong performance on benchmarks.
  4. Hugging Face researchers developed an open-source AI research agent called 'Open Deep Research' in 24 hours, aiming to match OpenAI's Deep Research. The project demonstrates the potential of agent frameworks to enhance AI model capabilities, achieving 55.15% accuracy on the GAIA benchmark. The initiative highlights the rapid development and collaborative nature of open-source AI projects.
  5. OpenAI's documentation for their o1 and o3 'reasoning models' includes tips on how to best prompt them, such as using developer messages, delimiters, and specific instructions.
    2025-02-03 Tags: , , , by klotz
  6. 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.
    2025-01-30 Tags: , , , , by klotz
  7. 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.
  8. 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.
    2025-01-20 Tags: , , , , by klotz
  9. MarkItDown is a utility for converting various files to Markdown, including PDF, PowerPoint, Word, Excel, Images, Audio, HTML, text-based formats, and ZIP files.
  10. 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.

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