Perplexity Computer is massively multi-model. Computer orchestrates models to... run agents in parallel, leveraging Opus to match each task to the model best suited for it. In total, Computer can route work across 19 different models.show more

Perplexity Computer orchestrates 20 different AI models - and... now you can embed them directly inside apps you create. To prove it, we built CEO Chat. Text Elon, Jensen, Zuck, and other tech CEOs. They text back.show more

🚨 Perplexity dropped "Computer" and nobody is talking about... it. An AI system that runs 19 models at once and builds entire projects by itself. It researches, designs, codes, and deploys live websites in minutes. No subscriptions to 5 different tools. No switching tabs. Here's how to use it:show more

You don’t have to use one model (or one... provider!) for everything. With Workshop, you can combine frontier and local models in the same workflow. For example: Opus can be the main agent, and delegate specific tasks to Gemma 4 via subagents. Better quality where it matters. Better privacy, speed, and cost where it counts. One workflow, best model for each task.show more

ami is now a desktop app run parallel coding... agents from your computer without breaking your flow claude opus 4.5 is unreasonably good but the interfaces around it haven't caught up go try it out for free :)show more

The AI Super Bowl… ChatGPT vs Claude 🏈 Run... your prompt across multiple models at once with /multi-agent then an AI judge picks the best answer so you don't have to. Need to quickly switch between models? Use /agent to switch to a different model in seconds but retain your context.show more

Thank you Perplexity and Aravind Srinivas Bhai for the... Mac Mini 🤟 Perplexity Computer + Mac Mini. Excited to test it out and see what it can do.show more

today we're launching a dataset of computer-use recordings to... build the next generation of computer-use agents. 300+ tasks across all kinds of software. open-source. link in the comments. Markovshow more

Cline Desktop just launched. An open-source workspace for open-weight... models 🤯 > Import tasks from other coding agents > Run agents in parallel > Schedule tasks to run on their own Free models built in: DeepSeek V4 Flash, GLM 5.3 Flash, Laguna S 2.1. I had early access and I can assure you it feels incredible. Pick your model and provider, and run it. 100% open source.show more

We’re rolling out effort controls in Computer’s model selector.... Effort presets combine the orchestrator model and reasoning depth to control how deeply and efficiently Computer works through a task. Available now on web. Coming to mobile and desktop soon.show more

The easiest way to find out which models you... can run on your computer: Just run: - 𝗻𝗽𝗺 𝗶 -𝗴 @𝗺𝗮𝗴𝗻𝗶𝘁𝘂𝗱𝗲𝗱𝗲𝘃/𝗰𝗹𝗶 - 𝗺𝗮𝗴𝗻𝗶𝘁𝘂𝗱𝗲 𝘀𝗲𝘁𝘂𝗽 It profiles your machine and ranks the models across: - Speed - Accuracy - Intelligence - Memory required Finally, you can choose your favorite harness (Pi, OpenCode, Claude Code, Codex, etc.) to run with it. Get started here: (don't forget to star 🌟) I also wrote a detailed article on running your favorite harnesses with local models. The article is quoted below.show more

Introducing screengrasp - The new SOTA agent click position... model - beating Anthropic Computer Use, OmniParser and Molmo by a wide margin. - Simplified API access to the best click models on the market. 🔁Retweet and DM for free API credits. More details 👇show more

Pulsar is partnering with 0G Labs (Home of Infinite... AI) to run financial AI models via 0G Private Computer. AI models that interact within the app run on decentralized compute, with proof attached to the response. Starting with the assistant. Ending with the app that works for you.show more

subagents are just recursive agents where you can apply... different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.show more

Open weight models are now available in Kiro. Three... open weight models are available in the IDE and CLI, so you don’t have to default to the largest model for every task. Choose the right model based on speed, cost, or long-running agentic workflows. What model would you like to see supported next? #Kiro #BuildwithKiro #AICodingshow more

Today, we’re launching computer-use CAD environments to train AI... models for engineering. Task prompts, reference files, gold outputs, rubrics & human walkthrough screen-recordings. We're open-sourcing 50 tasks across AutoCAD, Solidworks & Siemens-NX. Link below @markov__aishow more

We made it easy to run local models on... your computer and use them from your phone. A secure, end-to-end encrypted connection in just a few clicks. Available now with LM Studio and Locally AI - Local AI Chat.show more

Opus 5.5 + GrokBot + Jev... I can't believe... that I build it I packed the best of AI into ONE agent - now 99% of people’s AI agents look dumb, slow, and expensive Try here (free): prompt → GrokBot → Jev chooses LLM → Claude / GPT working on GrokBot's computer 24/7 → result → Jev sends only the tasks Grok is weak at to Opus or GPT → Jev picks the best model for each task - for example, Claude for motion design and Codex for web design → runs on the ChatGPT and Claude subscriptions you already pay for (API also work) → works on GrokBot computer while you keep chatting → checks every result against the goal before you see it → GrokBot gets smarter and cheaper at the same time → And plenty more features in a bot everyone will call "obvious" by 2030 Try Jevopus, thank me later - then read the article on the full Jev architecture ↓show more

GPT-6 Astra scores 72.6% on OSWorld 2.0 Offline, which... tests desktop tasks without internet access. With computer-use tools, Astra can work in the app itself: navigate menus, enter information, and inspect the result on screen. It can switch to code when the task calls for it.show more