OPENAI

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OPENAI
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*Data last updated: 2026-04-24 00:37 (UTC+8)

As of 2026-04-24 00:37, OpenAI (OPENAI) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, OPENAI has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

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OpenAI (OPENAI) Latest News

2026-04-23 08:32

OpenAI Launches ChatGPT Workspace Agents for Enterprise Workflow Automation

Gate News message, April 23 — OpenAI announced the rollout of workspace agents in ChatGPT on April 22, introducing shared AI agents designed to automate complex tasks and extended workflows across tools and teams within an organization. The agents are powered by Codex and operate in a cloud-based environment with access to files, code execution, connected applications, and memory functions. Workspace agents can perform multi-step processes while operating under permissions, governance rules, and access controls defined by the organization. They support collaboration by being shared across ChatGPT or integrated platforms such as Slack, and can schedule recurring tasks and operate without direct user supervision. Example use cases include sales agents that aggregate call notes and account data to evaluate leads and draft follow-up communications, product feedback aggregation, automated weekly reporting with data visualization, lead qualification and outreach automation integrated with CRM systems, and vendor risk analysis covering financial and compliance signals. The feature is currently available in research preview for ChatGPT Business, Enterprise, Edu, and Teachers plan users. It will remain free until early May 2026, after which OpenAI plans to introduce a credit-based pricing structure. The company indicated further developments are planned, including expanded automation triggers, improved analytics dashboards, and deeper integration across business applications.

2026-04-23 07:26

Former OpenAI Codex Engineer Launches Blackstar, Raises $12M in Seed Funding Led by Abstract

Gate News message, April 23 — Daniel Edrisian, a former engineer from OpenAI's Codex team, has announced the launch of Blackstar Computers, an AI hardware company that has completed a $12 million seed funding round. Abstract led the round, with participation from SV Angel, Naval Ravikant, Chapter One, and Timeless. Blackstar is positioned as a new computing device designed to reshape the user experience across hardware, software, and interaction layers. Edrisian noted that software development has reached maturity, and further advancement in human-AI interaction requires innovation at the operating system level. The company currently has approximately 8 team members based in San Francisco and Shenzhen. No public product has been launched to date.

2026-04-23 03:49

OpenAI Codex Team Fixes OpenClaw Authentication Bug, Significantly Improves Agent Behavior

Gate News message, April 23 — The OpenAI Codex team is focused on optimizing the OpenAI model experience in OpenClaw, with Codex engineering lead Tibo Sottiaux collaborating with OpenClaw creator Peter Steinberger. Codex product lead Nik Pash discovered a critical authentication flaw: when OpenClaw was configured to use Codex harness with OpenAI models, the authentication process failed and the system silently fell back to Pi harness, causing users to believe Codex harness was functioning normally when it was not. Pash submitted two pull requests to address the issue: one to fix the authentication bridge and another to prevent silent fallback. The improvements stem entirely from switching the underlying runtime adapter (harness) that governs how OpenClaw communicates with the model API, while the agent's prompt and higher-level workflow logic remained unchanged. Agent behavior showed marked differences before and after the fix. With Pi harness, the agent performed shallow polling on each heartbeat: reading heartbeat files, checking Discord, returning HEARTBEAT_OK, and ignoring other instructions. It sometimes inferred operations to execute but failed to issue tool calls. After switching to Codex harness, the agent entered a full work loop: reading workspace context, parsing task lists, checking repositories, executing edits, and attempting verification. Subsequent heartbeats could resume progress rather than repeat work.

2026-04-23 00:22

Thinking Machines Lab Secures Multi-Billion Dollar Cloud Deal with Google

Gate News message, April 23 — Thinking Machines Lab, an AI startup founded by former OpenAI executive Mira Murati, has signed a cloud infrastructure deal with Google Cloud valued at a single-digit billion US dollars. The agreement marks the company's first partnership with a major cloud provider following an earlier collaboration with Nvidia. Murati launched Thinking Machines in February 2025 after departing OpenAI. The company subsequently raised a US$2 billion seed round at a US$12 billion valuation. In October, the startup released Tinker, a tool designed for building custom AI models. The deal will provide Thinking Machines with access to Google's computing infrastructure to support its reinforcement learning operations.

2026-04-22 22:12

OpenAI Reaches $1 Trillion Pre-IPO Valuation Amid Race with SpaceX and Anthropic

Gate News message, April 22 — OpenAI has reached an implied $1 trillion pre-IPO valuation, according to on-chain pre-IPO instruments trading on Jupiter backed by SPV exposure. The valuation has surged 163% since October 2025, when speculation about a potential $1 trillion-plus IPO first emerged. SpaceX is reportedly targeting a valuation exceeding $1.7 trillion, while Anthropic is approaching the same $1 trillion milestone. These three companies are now in a high-stakes race to become the next major public listing. OpenAI's path to this valuation reflects the escalating costs of generative AI. A single ChatGPT exchange can cost $0.01 to $0.10, while high-definition image generation ranges from $0.10 to $0.20. With billions of daily requests in 2026, the computational demands are staggering. GPUs—primarily supplied by Nvidia—cost tens of thousands of dollars each, and cloud access runs several dollars per hour per chip. Industry estimates suggest that infrastructure investment could reach hundreds of billions of dollars by the end of the decade. OpenAI originally aimed to build AI "beneficial to humanity" and prevent a few firms from controlling the field. However, mounting costs forced a shift. In 2019, the company adopted a hybrid structure combining foundation control with capital-raising capabilities. ChatGPT's launch in late 2022 accelerated this transformation, reaching 100 million users in two months and 900 million weekly active users by early 2026. Revenue followed suit: from approximately $200 million in 2022 to over $10 billion in 2025—a 60-fold increase. OpenAI's subscription tiers now range from $20 to $200 monthly for consumers, while enterprise plans cost $25 to $60 per user per month. A company with 10,000 employees can therefore generate several million dollars in annual revenue. Meanwhile, Anthropic faced a pricing backlash when Claude Code appeared to vanish from its $20-per-month Pro tier, seemingly requiring a $100-per-month subscription instead. Anthropic later clarified the pricing page change affected only 2% of new sign-ups and that existing users saw no change. During the confusion, Sam Altman and OpenAI staff used the moment to promote Codex, OpenAI's competing coding tool.

Hot Posts About OpenAI (OPENAI)

Huoshan

Huoshan

9 minutes ago
Hermes Agent (Hermès) 8 Major Open-Source Tools to Master AI Agents! Hermes Agent is an open-source self-evolving AI agent framework launched by Nous Research. Want to easily get started? Simply installing the core isn’t enough; the community has already developed a series of supporting open-source tools, covering web interfaces, monitoring dashboards, Feishu integration, skill extensions, memory enhancements, and more, allowing beginners to take off in just 3 minutes. Below are the 8 essential open-source tools I’ve compiled from the latest community sources (GitHub, Zhihu, X, YouTube) (latest as of April 2026). Just copy the commands to use them, completely saying goodbye to CLI fiddling! 1. Hermes WebUI (Browser-based Web App, the first choice) GitHub: nesquena/hermes-webui Highlights: Dark theme web interface, full CLI feature alignment, supports access via phone/computer, SSH tunnel for secure access. Say goodbye to terminals—chat and execute tools directly in the browser. One-click deployment: After installing Hermes Agent, clone this repository + simple configuration. 2. Hermes HUD UI (Monitoring Dashboard) GitHub: joeynyc/hermes-hudui Highlights: 13 tabs showing real-time token consumption, memory content, skill list, cron jobs, session logs, health status; one-click editing of memory and configuration. Solves the pain point of “What is the Agent doing in the background? I can only guess.” Set up in 3 minutes, highly recommended! 3. HermesClaw (Bridging Tool) GitHub: AaronWong1999/hermesclaw Highlights: Allows Hermes Agent + OpenClaw to share one account, essential for domestic users. Supports seamless access for enterprises and individuals. 4. Open WebUI (Chat Frontend Beautification Tool) Official integration documentation: Hermes Agent natively supports OpenAI-compatible API Highlights: Streaming output, file uploads, syntax highlighting, history search + perfect mobile experience. Combining Hermes’s tool invocation and memory, it instantly becomes a beautiful ChatGPT alternative. 5. Honcho (Persistent Memory & User Modeling) Built into Hermes (GitHub: plastic-labs/honcho) Highlights: Core of multi-layer memory system, automatically builds your “user profile,” remembers across sessions. Hermes’s self-evolution relies entirely on it. 6. Interoperability Standard Tool Official website: Highlights: Open skill standard library, community-shared ready-made skills (40+ built-in tools + community extensions). Skills automatically generated by Hermes can also be seamlessly imported and exported. 7. MCP Integration + Cron Scheduling Tool (Automation Extension) Hermes officially supports MCP (Multi-Context Protocol) + built-in Cron Highlights: Connects to external MCP servers for unlimited tool extension; natural language scheduling (e.g., daily briefings). Combining with Atropos RL sub-module enables advanced reinforcement learning. 8. One-click Migration + Deployment Scripts (Smooth Transition from OpenClaw + Cloud Deployment) Command: hermes claw migrate (official migration tool) Highlights: One click to transfer all memories/skills from OpenClaw; supports Docker, Modal, Daytona, Tencent Cloud Lighthouse, and other cloud deployments + Termux Android deployment. Domestic users can also accelerate cloning with GitCode mirror. Installing the Hermes core agent is super simple (works on Mac/Win/Android): bash curl -fsSL | bash hermes # Start Configure LLM (supports over 200 models, including domestic free interfaces) and you’re ready to go. After installing these 8 tools, Hermes Agent instantly transforms from a “command-line toy” into a 24/7 personal super assistant: automatically mining tools, spreading knowledge, monitoring encrypted transactions, generating daily reports… The more you use, the stronger it gets! Finally, the core repository: Official documentation: Master Hermes now! 🚀
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