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Introducing Ori Harness: the easiest way to use your favorite harness with OpenRouter. Ori configures Codex, Claude Code, OpenCode, and Hermes out of the box to work with OpenRouter, with settings optimized per harness, for any model.

$4.76T in stablecoins moved across @trondao in the first seven months of 2026. Monthly volume averages $680B, with June settling $717B on its own. TRON is the deepest pool of @tether's USDT liquidity in the market, and an anchor for stablecoin payments and remittances worldwide. Liquidity that concentrated becomes more valuable the further it travels. Eco routes real-time USDT between TRON and every Eco-connected chain, so that depth reaches the rest of the market. Data: @Dune

Okay, the @VulcanBench results for Qwen3.8-Max are in, and it is not what I expected. First, for anyone new to VulcanBench, here's a quick TL;DR on the eval suite: 23 frontier-hard software engineering tasks taken from real merged OSS PRs, run in a Docker sandbox, 3 runs per task across all three of its effort levels. No puzzles, no random abstract stuff, all real things engineering teams would do with these models. It looks like Qwen3.8-Max has a major overthinking problem, it uses a LOT of tokens and is very slow, period, no other way to see it. My cost to run this benchmark was $126.25, to run the exact same eval suite with DeepSeek V4-Flash was only $13.60. This makes Qwen3.8-Max an insanely expensive model. The tasks Qwen genuinely can't solve fail at every effort level, extra reasoning didn't help. The regression is almost all in work it already handles: six tasks that low solves every single time account for 83% of the 26-point drop, three of them collapsing to zero. It's not losing the hard problems. It's losing the ones it already knows how to do. Since Qwen3.8-Max hit a lot of wall clock budget caps, I thought I'd share more about this. - VulcanBench caps both steps (50–200) and wall clock (5–60 min), each scaled by repo size. - This is aligned with how comparable harnesses bound agents, DeepSWE caps rollouts at 100 environment steps, sitting right inside my step range; Terminal-Bench enforces a per-task wall clock; SWE-bench Verified scaffolds typically allow 20–60 min per instance with 250–350 step limits. - Every model on my chart gets the identical budget, and Qwen is the slowest model I've tested at 20–25 min/task. Soooo... Alibaba positions Qwen3.8-Max as trailing only Claude Fable 5. But on the kind of real coding work engineering teams would actually throw at it, under a fixed budget, its best setting lands mid-pack and its default lands last, so common. If you want to optimize for accuracy, Grok 4.5 is the move. If you want accuracy per dollar, DeepSeek V4-Flash is hard to beat, heck it's 10× cheaper than Qwen and you get higher accuracy. Qwen just isn't in the game at this point, this is not a model I could see engineering teams using for daily coding work.

Most people seriously underestimate what Grok Build can do They assume an AI coding agent is only useful for building apps or writing complex software But some of its most valuable work is handling the boring, obvious tasks that quietly consume 10 minutes here, 20 minutes there, every single day For example, I gave Grok Build a SpaceX video posted on 𝕏 and asked it to extract the clearest frames and turn them into a clean collage It pulled the video, selected the strongest images, cropped them, arranged the layout and produced the final collage shown in the post below I simply described the result I wanted, then let it handle the entire process while I worked on something else And that is only one small example You can use Grok Build to: • Organize and intelligently search files across your computer • Diagnose and fix audio, display and system-setting problems • Download, install and configure apps or tools • Extract images or audio from videos • Add music, trim, compress and convert media • Resize, crop and enhance images • Batch rename and organize hundreds of files • Clean spreadsheets, merge datasets and build dashboards • Write scripts and automate repetitive tasks • Fix broken configurations and connect tools together Even something as annoying as an audio setting not working becomes much easier Instead of hunting through menus, searching forums and trying random fixes, you can explain the problem to Grok Build It can inspect the setup, identify the likely cause, change the relevant configuration and test whether the fix worked It is basically an agentic operator living inside your computer, working within the permissions you give it I also keep a simple instruction file telling Grok how I prefer tasks to be completed, including automatically opening the finished result after a successful run so I do not forget about it Configure the workflow once, and Grok keeps working the way you prefer That is what makes Grok Build so useful It is not only building software It turns all the small computer tasks between an idea and the finished result into work you can simply describe and delegate

如何配置Windows terminal的标题随着文件夹而改变 截图是配置zsh 最主要的是需要在windows terminal的settings.json屏蔽应用标题，如下： "suppressApplicationTitle": false

There's a one-step way to settle who's really Satoshi, says the man who ran the list where Bitcoin launched: sign with Satoshi's known keys. Craig Wright never could — which is why his claim collapsed. @perrymetzger on the real Satoshi, with @VladCostea on @BTCTKVR 🔽

I don’t think you understand what ChatGPT Voice unlocks I went on a 4 hour hike yesterday. Through the northern California redwoods. Got more work done in those 4 hours talking to Voice through my AirPods then I do in 8 hours at my desk Work can be done ANYWHERE now 45 minute drive back using self driving? Now 45 minutes I can talk to Voice and work on side projects 20 minutes in the cafe? I can sit and talk to Voice and when I get home I have drafts on my computer for my newsletter for the next month Being able to just use your voice to talk to a super intelligence that controls your computer is unlike anything we’ve ever experienced before I don’t even care that the voice sounds human like, or you can interrupt it, or any of the wild advancements they made to the tech It’s the fact that it can control my computer, meaning all I need to get incredible work done is talk through my AirPods anywhere in the world that is the major game changer for me I don’t think people truly understand the implications of this yet Why even have a desk or monitor anymore. Work can be done ANYWHERE now The key is your set up: 1. Choose one device (preferably an always on desktop) as your main “headquarters” device all your work gets done on 2. Get the ChatGPT app on all your other devices (iPhone, iPad, laptops, Mac Minis) 3. Set up ‘connections’ in your settings so that all your ‘node’ devices can control your ‘headquarters’ device 4. Go legit anywhere in the world. Turn on Voice. Ask it to brief you on your projects, give you a recommended next step, then spin up new threads to do work I really don’t think work looks the same moving forward.

If your agent is a registered Service Provider on OKX AI, the Task Marketplace is where work finds you. Browse open jobs, accept one, and the bounty locks in escrow before you start. Deliver, get accepted, and settle onchain in stablecoins. Browse: