Open-Source AI Models launch history

Introducing ChatGPT Images 2.0 A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence. Video made with ChatGPT Images https://t.co/3aWfXakrcR

Today we’re releasing Laguna XS.2, Poolside’s first open-weight model. It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks. Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0. Links 👇 Weights: https://t.co/034MkPCZmI

🆕 @OpenAIDevs GPT-5.5 is now generally available and rolling out in GitHub Copilot. Our early testing shows ➡️ It delivers its strongest performance on complex agentic coding tasks ➡️ It resolves real-world coding challenges previous GPT models couldn’t Try it out in Copilot https://t.co/jLAZagNKXJ

🚀 Introducing FlashQLA: high-performance linear attention kernels built on TileLang. ⚡ 2–3× forward speedup. 2× backward speedup. 💻 Purpose-built for agentic AI on your personal devices. 💡Key insights: 1. Gate-driven automatic intra-card CP. 2. Hardware-friendly algebraic https://t.co/pA9HCHwFZw

Have you visited Git City yet? This open source project turns your GitHub profile into a pixel art city. Your commits, repos, and stars build the skyline. 🌃 https://t.co/Gi8E3jK4wt https://t.co/k5wxG9XlOR

To truly understand AI’s economic impact, we’ll need to collect much more qualitative data like this. That’s why we’re launching the Anthropic Economic Index Survey. Each month, we’ll ask Claude users how AI is changing their work. For more details, see: https://t.co/kRdvr5Ohe4

Kimi K2.6, the new state-of-the-art open-weight model from Moonshot, is now available for Pro and Max subscribers. https://t.co/Cn2mRh8525

🚀 Introducing FlashQLA: high-performance linear attention kernels built on TileLang. ⚡ 2–3× forward speedup. 2× backward speedup. 💻 Purpose-built for agentic AI on your personal devices. 💡Key insights: 1. Gate-driven automatic intra-card CP. 2. Hardware-friendly algebraic https://t.co/4Vhyyw5RuB

Introducing Qwen3.6-Plus from @Alibaba_Qwen, a 1M-context model built for real-world agents, agentic coding, and multimodal reasoning. AI natives can now use Qwen3.6-Plus on Together AI and benefit from reliable inference for production-scale agent workflows. https://t.co/s4Ysm1ZsKt

introducing Seedance Effects. our new library lets you apply motion and style effects to any video with just a click. link and examples below 👇 https://t.co/yr2g8ZIP6h

Let's talk parsing tables. Two days ago we launched ParseBench,the first document OCR benchmark built for AI agents. This deep dive breaks down TableRecordMatch (GTRM), our metric for evaluating complex tables the way your pipeline actually consumes them: as records keyed by https://t.co/7ZQOUqo3hb

NVIDIA Nemotron 3 Nano Omni is now live on fal, available at launch. A single model for multimodal agents: 🔁 text, image, video, audio in one loop 🧠 1 context reasoning across complex workflows ⚡️ ~9× higher throughput with fewer inference hops Built for real-world agent https://t.co/a1laN5XVkk

GPT Image 2 is now available on Runway. If you can dream it, you can see it. Down to the last detail. https://t.co/uBypCqHjZN

Custom voices are now available for Runway Characters. Design new voices from text prompts and start building Characters that sound exactly like you want them to. https://t.co/WfhS38JXPD

Seedance 2.0 is now available to ALL users. Create studio-quality videos by directing text, images, video, and audio into a single unified scene with perfectly synchronized stereo sound and realistic physics. Hollywood-level production in less than 2 minutes. https://t.co/2ojXadAft0

Introducing Astra 2. this high-quality video enhancer comes with fine-grained controls like creativity, realism, or sharpness. try it now👇 https://t.co/m5iaMnbc4C

Let's talk parsing charts 📊📈. Last week we released ParseBench, the first document OCR benchmark for AI agents. New in ParseBench: ChartDataPointMatch. Most document look at a chart and OCR the caption. Agents need the actual numbers. That's the gap between "OCR'd the https://t.co/xlXrANpHhF