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📢 GPT-6.1 Sol Is Now Live on An upgrade to GPT-6 Sol, GPT-6.1 Sol is built for complex software engineering, computer use, and professional workflows. OpenAI positions it as nearly matching GPT-6 Astra on agentic coding, computer use, and professional work, at about 1/5 of Astra’s standard input and output token prices. It supports a 1.05M-token context window, up to 128K output tokens, 5 reasoning levels, prompt caching, and Multi-agent delegation (Beta) via the Responses API. Now available on API and Web Chat. 👉 Try now: 🔗 Learn more:

New on Verdex: Orders. Name your price. Limit and stop orders on any tokenized stock, ETF or commodity. Set the level; Verdex watches the price and when it crosses, one tap fills the swap through the best route, confirmed in your wallet. Nothing moves before that tap. VERDEX holders pay no Verdex fee. Live now at

[Level 0.5 训练报告 #02#] 地点：地库通道-商场开放区 装备：黑色Define+深灰油亮光泽裤 动作执行：起点脱去遮挡。突破路人遭遇与直梯受视。取消中途穿回，超额完成坐姿停留与堂食。 结果判定：超额通关（S+）。手部防卫脱敏，日常化融入达成。 兑现奖励：带标中筒小白袜。准备进阶Level 1.0半体破壁

📢 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:

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

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord: More in the video and slides below. Open source, Apache-2.0. (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)

Grok 4.7 xHigh ranks #1# in Artificial Analysis Cyber Index It's a powerful frontier model performing at the highest level in enterprise cyber defense Outperforming Fable 5.1 Max, Opus 5.5, Astra 6, GPT-6 and other leading AI systems

new YouTube is up link in my bio 🤗 making sure you constantly assess how you’re spending your time is crucial to moving the needle forward. i’ve been caught doing the same things over and over in my life and expecting a different result. the truth is, you have to develop new skill sets to become the person you need to be to reach the next level of success #success# #confidence# #skillsets# #entrepreneurship# #entrepreneur#