Memory now works with Model Council. Have fun having... multiple frontier reasoning models think about your data together and work for you!show more

MiniMax M3.1 Flash is now live on Venice. MiniMax’s... frontier model for coding, agentic work and visual reasoning, at 3x the speed of M3. Available anonymously.show more

You can now quickly eval GPT-5 and reasoning efforts... across your existing responses. With the built-in grader, compare responses to find the best model and reasoning effort for you. ⚡️👀show more

Here's a little math problem about GRID 🤔 Multiple... agentic capabilities available in one place Data sources across industries + Reasoning to bring it all together —————————————————————————— = The best answers you can ask forshow more

Our audio-to-MIDI model, MuScriptor, now also detects tempo! You... can directly drag-and-drop the MIDI into a DAW and it just works, without you having to tempo-match manually. Have fun!show more

Devin for Terminal is a local agent that works... with all frontier models, including Opus 4.7, GPT 5.5, and SWE-1.6. You can switch model mid-session, or handoff to Devin in the cloud.show more

We just unlocked Council Mode on twin dot fun.... Multiple AI minds now debate your question, rank each other’s reasoning: • Independent answers. • Peer ranking. • One final synthesized verdict. Decisions, but with collective intelligence. 👉 check here:show more

Can “chicken” make a base model reason? 🐔 Yes!... Why? With the right first tokens, base models can match RL in reasoning. We trace this to learned training data associations and use a simple data edit to make “chicken” elicit reasoning too. blog:show more

Use Your Private Models on Comfy Cloud! Continue client... work safely — or generate with your experimental private models. You can now import models directly from private Hugging Face or Civitai repos. Just add your private key and model URL, and we will bring the models to your workflow! Everything you import stays 100% private to your account.show more

💥Vtuber 3D Model Showcase💥 Thank you so much for... trusting me with your Teen Saruei 3D model! It was a lot of fun and pleasure to work with you! #illustruei #3DCG #Vtubershow more

OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more

Working with multiple models in Chat? The model picker... in VS Code is now organized by provider, making it easier to browse, search, and switch between models. You'll also see provider names next to your recent models for quicker recognition. 💡 Tip: Use /models for quick access.show more

We have to have fun together, don't you think? 💋

Do you think we’d have fun together? 😊

Flow Reasoning Models are looped models. In our recent... work, we turn a flow model into a recurrent model to solve reasoning problems (e.g. Sudoku). Predictions are fed back as inputs and iteratively refined. Each pass gets its own local loss. No backprop through time.show more

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I think one of the biggest problems with AI... agents right now is how much control we give up just to use them. Most AI agent platforms want you to work inside their ecosystem, use their preferred models, and trust them with your files and data. That might be convenient, but I don't think it should be the only option. I recently came across PilotDeck, and I found its approach pretty interesting. It's an open-source AI agent workspace developed by Tsinghua University's THUNLP, ModelBest, OpenBMB, and AI9Stars. The idea is simple: instead of being tied to one AI provider, you should have more freedom to decide how your agent works. And there are a few things worth looking at here. First, model independence. Most people focus on which AI model is the smartest, but I think having the freedom to choose your model is equally important. PilotDeck supports different model providers and configurable API endpoints. This means you're not necessarily stuck with one company's models. You can choose a setup based on your budget, performance needs, or the type of task you're working on. For developers who regularly experiment with different AI models, I think that's a pretty useful approach. Second, privacy and control over your workspace. This is probably the part that interests me the most. AI agents are increasingly being used to handle research papers, financial documents, spreadsheets, presentations, and other personal or business files. And once you start giving an agent access to that kind of information, where your files are processed becomes an important question. PilotDeck supports local workspaces and offers options for local or private deployment. That gives users more flexibility over how their environment is configured, rather than relying entirely on a closed platform. Of course, privacy still depends on which model provider and API you connect. Using a local workspace doesn't automatically mean your data never leaves your device. But having the option to control the setup is a meaningful difference. Third, it's designed to actually complete work. Another thing I like about the approach is that PilotDeck isn't just trying to be another chatbot. It's built around an agent workflow where you describe a task, the system plans the steps, works with files, uses tools, and produces an output you can still edit. For example, imagine giving an AI agent multiple research documents and asking it to organize the information into an Excel spreadsheet and prepare a PowerPoint presentation. Instead of getting a long text response that you need to manually copy into different applications, the goal is to have the agent handle the workflow and deliver usable files. It also supports task history, result previews, switching models, and changing instructions while a task is running. I think this is where AI agents become more practical for everyday work. And finally, there's the open-source aspect. Personally, I think we're going to see more demand for AI tools that don't force users into one vendor's ecosystem. Models are improving quickly, and the best option today might not be the best option six months from now. Having an agent workspace that can work with different models makes a lot more sense to me than rebuilding your entire workflow every time you want to switch providers. There are still things I'd want to test properly, especially how reliable it is on longer tasks, how easy the setup is for non-technical users, and what the actual privacy trade-offs are with different model configurations. But I like the direction PilotDeck is taking. I don't think the future of AI agents should be about which company controls your entire workflow. It should be about how much control you have over the tools doing the work. And that's why I think open-source, model-independent projects like PilotDeck are worth paying attention to. If you're interested in building AI workflows with more flexibility, check it out. Website: GitHub:show more

OpenAI has deployed interactive charts and tables in ChatGPT.... You can now interact with your data and process it with GPT-4o. Here's how it works and what you can do with it:show more

With the new Live2D beta, you can easily have... model-covering effects that also work with various toggles and such! Before you would have had to have multiple copies, clipped to different versions to accommodate each toggle...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