Jev as a judge vs. LLM as a judge: Same 100 agent trajectories. Two evaluators. - Jev: 13.5 seconds, $0.001912 - GPT-5.5: 120.8 seconds, $0.419130 Jev was roughly 9× faster and 219× cheaper in this run. A general-purpose LLM generates its judgment token by token. Jev returns focused, typed judgments and probabilities against defined criteria. The video shows the comparison live, with a score for every trajectory. For another way to use Jev, the guide below walks through pairing it with Opus to cut token usage by 90%.

Stanford and Harvard’s “Agents of Chaos” is one of the most unsettling AI papers of the year. It raises a disturbing question: what happens when autonomous agents compete for rewards, influence, and resources? The concern goes beyond individual agents behaving badly. Incentives can reward manipulation, collusion, and sabotage, even when each agent is simply pursuing its own goal. An aligned assistant doesn’t automatically make a stable ecosystem. That matters for: - Multi-agent trading systems - Autonomous negotiation bots - AI-to-AI marketplaces - Networks of agents sharing tools and resources We’re racing to deploy agents into finance, security, and commerce. Making them work together safely takes more than better code. It takes incentives that reward cooperation.

Stanford and Harvard’s “Agents of Chaos” is one of the most unsettling AI papers of the year. It raises a disturbing question: what happens when autonomous agents compete for rewards, influence, and resources? The concern goes beyond individual agents behaving badly. Incentives can reward manipulation, collusion, and sabotage, even when each agent is simply pursuing its own goal. An aligned assistant doesn’t automatically make a stable ecosystem. That matters for: - Multi-agent trading systems - Autonomous negotiation bots - AI-to-AI marketplaces - Networks of agents sharing tools and resources We’re racing to deploy agents into finance, security, and commerce. Making them work together safely takes more than better code. It takes incentives that reward cooperation.

Turn any Google Street View into a 3D Gaussian splat 🤯 Paste a Google Maps link and turn that spot into an immersive 3D scene you can explore. Your hometown. Your favorite street. That place you’ve always wanted to visit. 100% free.

Turn any Google Street View into a 3D Gaussian splat 🤯 Paste a Google Maps link and turn that spot into an immersive 3D scene you can explore. Your hometown. Your favorite street. That place you’ve always wanted to visit. 100% free.

Google has a free Duolingo alternative 🤯 It’s called Little Language Lessons. Practice everyday conversations, explore local slang, and learn vocabulary through photos. - 40+ languages, including English, German, and Chinese - Lessons tailored to situations you choose - No subscription fees Language practice built around things you’d actually say.

Someone built an open source tool that runs iOS apps without installation. It’s called LiveContainer. Import an IPA file and run the app inside it. - Multiple app versions with separate data - More apps without using extra sideloading slots - Multitasking with resizable windows - Supports iOS and iPadOS 15+ You install LiveContainer first through AltStore or SideStore. The other apps run inside it, though compatibility varies. GitHub 100% open source.

Someone built an open source tool that runs iOS apps without installation. It’s called LiveContainer. Import an IPA file and run the app inside it. - Multiple app versions with separate data - More apps without using extra sideloading slots - Multitasking with resizable windows - Supports iOS and iPadOS 15+ You install LiveContainer first through AltStore or SideStore. The other apps run inside it, though compatibility varies. GitHub 100% open source.

Google just open-sourced its Harness² It's a plug-and-play framework for recursive agent harnessing in an open world. Agents can perform, and learn from, tasks its harness was never designed for. Built around 8 components: 1. System prompt 2. Guardrails 3. Memory 4. Tool guidance 5. Subagents 6. Skills 7. Scripts 8. Plugins Link:

Google has a free Duolingo alternative 🤯 It’s called Little Language Lessons. Practice everyday conversations, explore local slang, and learn vocabulary through photos. - 40+ languages, including English, German, and Chinese - Lessons tailored to situations you choose - No subscription fees Language practice built around things you’d actually say.

THIS IS FUCKING INCREDIBLE a solo dev open-sourced a free ElevenLabs alternative that runs on your own machine. 19.4K stars on GitHub, with tools to: - Clone voices from a clean reference clip - Dub videos across 646 languages - Create audiobooks and transcribe audio - Switch between 14 TTS engines No per-character fees. No service usage caps. Your audio stays on your computer. Save this for your next audio project. Repo below 👇

Turn Claude Code into your job search assistant with this repo. Clone it, fill in your profile, and let it help you: - Evaluate job listings - Tailor your CV - Draft cover letters - Prepare for interviews Less repetitive work for every application.

THIS IS FUCKING INCREDIBLE a solo dev open-sourced a free ElevenLabs alternative that runs on your own machine. 19.4K stars on GitHub, with tools to: - Clone voices from a clean reference clip - Dub videos across 646 languages - Create audiobooks and transcribe audio - Switch between 14 TTS engines No per-character fees. No service usage caps. Your audio stays on your computer. Save this for your next audio project. Repo below 👇

Turn Claude Code into your job search assistant with this repo. Clone it, fill in your profile, and let it help you: - Evaluate job listings - Tailor your CV - Draft cover letters - Prepare for interviews Less repetitive work for every application.

Holy... this one rule in AGENTS.md and Claude's long reports are suddenly easy to read. It used to finish a long task with a wall of text. What I needed to do next was buried somewhere in the middle, so I'd keep scrolling to find it. Now my next steps go at the top: what to do, where to do it, and what to send back. Add this section to your AGENTS.md 👇 ## 7. Start with what you need from me When a long task is finished, or you're blocked and need my help, put any actions I need to take at the top of your reply. Use a numbered list with one action per item. Explain what to do, where to do it, and what to send back when finished. Example: "Log in to Stripe, export the September refunds CSV, and save it in inbox/." Put the biggest blocker first. If you need nothing from me, say so.

Holy... this one rule in AGENTS.md and Claude's long reports are suddenly easy to read. It used to finish a long task with a wall of text. What I needed to do next was buried somewhere in the middle, so I'd keep scrolling to find it. Now my next steps go at the top: what to do, where to do it, and what to send back. Add this section to your AGENTS.md 👇 ## 7. Start with what you need from me When a long task is finished, or you're blocked and need my help, put any actions I need to take at the top of your reply. Use a numbered list with one action per item. Explain what to do, where to do it, and what to send back when finished. Example: "Log in to Stripe, export the September refunds CSV, and save it in inbox/." Put the biggest blocker first. If you need nothing from me, say so.

This NVIDIA model can create a 3d copy of your organs in seconds. It's called MONAI Physio, from NVIDIA and Project MONAI. It takes a real medical scan and simulates how that specific heart or lung actually moves. → Turns a cardiac CT into a beating 3D heart model → Also covers respiratory motion, blood flow, etc. → Full tutorials from raw scan to working 3D model 100% open-source.