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オアシス21の豊田合成リンクにて松村香織最後？のオアシストークショーが開催されました👏平日の夜、寒い中沢山の方が来てくれてびっくり😳本当にありがとうございました🙇💗ミニライブも盛りがっていて良かったです☺✨なんか私の秘密沢山暴露されちゃったー😂💣そして #UHAGE# 広まれ～👨‍🦲

#オアシス21# トークショー&LIVE 寒い中来てくれて ありがとう😊🌷 みんなー！ #UHAGE# 知ってるかい？？ りょうはのUHAに 香織さんのHAGEで。 #UHAGE# 香織さん大好きなんだよなあ。💓 かおりさーん😊💓💓

Everything we shipped at DevDay 2026: - Dots - ChatGPT Space - Pages - Teams + team automations - @ChatGPT in Slack + Microsoft Teams - Meetings plugin (beta) - Shareable profiles - GPT-6.1 Sol - GPT-6 Astra Ultrafast - Pro 500 - Sign in with ChatGPT + plan usage in partner apps - Codex cloud environments - Refreshed Codex CLI with voice + /agents - Code Review + automatic reviews + GitLab support - Codex Security Cloud - Computer use in the Agents API - Bedrock Managed Agents powered by OpenAI - Decisions API (limited preview) - Plugin extensions: sidebars, panels + file viewers - Plugin submission + discovery improvements - MCP events for automations - MCP extensions SDKs: Python + Node - Plugins + MCP hosting in Sites - ZDR with Private Safety Processing What an incredible time to be building!!

Introducing OpenDesign Go The first benchmark-curated design model plan. $8 first month—20% cheaper than OpenCode Go and Higher usage limits. Up to 300K+ calls/mo. 10 models: GPT-6 Luna, DeepSeek V4.1 Flash and more. Supports API keys. Use Go with OpenCode, Hermes and more.

📢 Claude Sonnet 5.5 Is Now Live on As @AnthropicAI’s latest Sonnet model, Claude Sonnet 5.5 is the faster, more cost efficient complement to Claude Opus 5.5, delivering 30%+ faster output and up to 30% lower cost per task. Built for software engineering, Agent workflows, and professional documents, with image/PDF understanding, report, presentation, spreadsheet & UI generation, 5 reasoning levels, and a 1M-token context window, with no extra charge for long-context usage. Now available on both API and Web Chat! 👉 Try now: 🔗 Learn more:

OpenDesign Go is coming back soon TODAY🚀 From $8 for your first month, unlock up to $60 in monthly usage across 10+ models, including DeepSeek V4.1 Flash and GPT-6 Luna. You asked for API keys. We listened. Create in OpenDesign or bring your models to Codex, Claude Code and more.

Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)

Mole 1.15 is finally here! I tested and inspected 709 Mac apps to improve uninstall cleanup while keeping your files safe 🤯. CPU and memory usage are also grouped by app now, making it much easier to see what's using your Mac. Update now

o yes… we’re back in action and we’ll reset usage limits for all paid users across codex and ChatGPT work sorry about the brief disruption! (and yes we have a special spare codex when things are down to help us out)