Chronological feed of everything captured from Greg Brockman.
doom-py offers Python wrappers around a modified bleeding-edge ViZDoom, enabling Python-based access to the Doom game AI research environment. It includes standard Python packaging files like setup.py and Makefile, with 13 commits on master but no releases. Ubuntu dependencies cover numpy, cmake, zlib, jpeg, boost, gcc, sdl2, wget, and unzip for building.
Greg Brockman recounts founding OpenAI by assembling a dream team around Ilya Sutskever's AI vision, initially handling all non-research tasks to maximize technical progress. He identifies engineering as the critical bottleneck in ML research, accelerating projects like Gym and Universe through intense, distraction-free coding sprints that unblock researchers. Organizational scaling now allows him to sustain a CTO role blending hands-on engineering with leadership, exemplified by hiring dedicated executors like Erika Reinhardt.
This script enables writing to CoreOS's read-only /usr by patching the rootfs superblock's ro_compat flag via dd to allow RW remount. It downloads and installs Google's safe_format_and_mount script to /usr/share/google/, required by Kubernetes for EBS volume handling, then restores RO state. Functions like disable_rw_mount and enable_rw_mount manipulate the filesystem at a precise byte offset (0x467) for idempotent operation.
Greg Brockman pivoted from high school chatbot experiments and college programming language research to scaling Stripe, before dedicating himself to safe human-level AI after recognizing deep learning's breakthrough potential. Key validations included impressive capabilities in image classification, speech recognition, and real-time translation via models that map diverse inputs to outputs using layered abstractions and backpropagation. A pivotal dinner with top talents like Ilya Sutskever, Elon Musk, and Paul Christiano crystallized the need for a nonprofit lab at AI's research frontier to ensure beneficial outcomes, leading Brockman to commit full-time.
Greg Brockman is joining the Stellar board. He believes digital currencies require protocols like Stellar that integrate with existing financial systems and prioritize user experience. Stellar, a non-profit, focuses on financial inclusion and has developed a provably-correct consensus algorithm, re-implemented its technology, and initiated a pilot program in South Africa.
Greg Brockman highlights the importance of collaborative environments for meaningful software development, referencing the Recurse Center as a prime example of a thoughtfully designed cultural dynamic. He notes that even experienced engineers seek such environments to explore new programming areas. Brockman
This content illustrates the process of creating a customer and subscribing them to a plan using the Stripe API. It highlights a common error when attempting to subscribe a customer without an attached payment method and demonstrates a successful subscription with a defined trial period. The output provides detailed JSON responses for both scenarios, offering insights into the API structure and response formats.
This document provides a technical overview of fundamental operations on the Stellar network, including account introspection, address creation, trustline establishment, credit issuance, and decentralized exchange functionalities. It details command-line interface (CLI) and Stellar helper functions for executing these operations, offering practical examples for developers. The content focuses on direct interaction with the Stellar network's core functionalities.
This content details a Keybase proof establishing the identity of GitHub user "gdb" on Keybase. The proof involves signing a JSON object containing Keybase, GitHub, and PGP key information with a specified PGP key, then publishing it as a GitHub Gist. This process validates the association between the GitHub account, the Keybase profile, and the PGP key.
Stellar allows users to issue custom tokens and facilitate their exchange via a decentralized exchange. This process involves creating an offer for the custom asset, which other users can then fulfill with counteroffers. The system emphasizes trust lines, where the value of an issued asset is dependent on the individual's trust in the issuer, enabling a flexible definition of currency across the network.
This GitHub Gist provides a minimal example of integrating Stripe for basic credit card payments using PHP and JavaScript. It demonstrates client-side tokenization with Stripe.js and a server-side PHP script for creating a charge. The code illustrates the essential steps for securely collecting payment information and processing a transaction through the Stripe API.