Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, keep the tight close-crop left-anchored composition, deep blue-purple cinematic lighting, misty atmospheric smoke bleeding right, and glitter scatter detail, but replace the central subject with a developer’s hands resting wearily on a glitter-dusted laptop keyboard showing faint code on screen, fingers paused mid-keystroke, maintaining the same melancholy post-celebration emotional weight and Euphoria aesthetic, with the category name ‘open source’ in thin lowercase white Helvetica Neue Light overlaid on the right two-thirds smoky haze.
An open-source Python library for structured data extraction – LangExtract from Google It turns unstructured text into grounded, verifiable structured outputs using LLMs. Every extraction is mapped back to the source, fully traceable and verifiable. LangExtract: – Combines
https://x.com/TheTuringPost/status/2040097129759445439
GLM 5.1 is SOTA on SWE-Bench Pro. Not “”SOTA among open models””. SOTA.
https://x.com/nrehiew_/status/2041553534664200408
GLM 5.1 just became the #1 open-weight model on the Vals Index, unseating Kimi K2.5, and is #6 on the overall index.
https://x.com/ValsAI/status/2041570865721307623
GLM-5.1 by @Zai_org just launched in the Text Arena, and is now the #1 open model. It outperforms the next best open model, its predecessor, GLM-5, by +11 points and +15 over Kimi K2.5 Thinking. It shows strength in: – #1 open model in Longer Query (#4 overall) – #1 open model
https://x.com/arena/status/2041641149677629783
GLM-5.1 from @Zai_org is live on OpenRouter! GLM-5.1 shows a strong jump in long horizon task completion end to end. The model works independently to plan, execute, iterate, and improve upon its work throughout the task, delivering high quality results.
https://x.com/OpenRouter/status/2041551251708793154
GLM-5.1 is now available in Windsurf! Try it out and let us know what you think
https://x.com/windsurf/status/2042696652042178872
GLM-5.1 is the new open SOTA on SWE-Bench Pro Comes with an MIT license. Congrats @Zai_org!
https://x.com/NielsRogge/status/2041902317264322702
GLM-5.1: Towards Long-Horizon Tasks
https://z.ai/blog/glm-5.1
Report: Some of Meta’s new AI models will eventually be open-source – Sherwood News
https://sherwood.news/tech/report-some-of-metas-new-ai-models-will-eventually-be-open-source/
Scoop: Meta to open source versions of its next AI models
https://www.axios.com/2026/04/06/meta-open-source-ai-models
For Olmo 3, we moved from a synchronous RL setup to an asynchronous one. This made our code 4x faster in terms of throughput (tokens/second). I wrote about the changes in the paper, but I finally found the time to go deeper on what was involved:
https://x.com/finbarrtimbers/status/2041176604961878271
We keep saying we want open-source frontier agents. Fine. Then let’s build the dataset. @badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via
https://x.com/ClementDelangue/status/2041189872556269697
@Teknium @OpenWebUI That’s really cool! Encourage people to check out my native Hermes WebUI as well:
https://t.co/vNWM6o4s18 – supports nearly every native feature of the terminal version now
https://x.com/nesquena/status/2041000592215298123
Hermes ecosystem is on 🔥 The ecosystem map has been updated to reflect the new v0.8.0 + several new repos added (submit an issue if yours is missing)
https://x.com/KSimback/status/2042369292813861334
Speed of open source! Anthropic adds advisor strategy yesterday -> Emanuele adds an implementation as middleware less than 24 hours later!
https://x.com/hwchase17/status/2042585650969612518
Excited to launch The ATOM Report with @natolambert! For over 9 months, we scraped publicly available data to measure the open ecosystem. Some insights, some of them surprising, others less so:
https://x.com/xeophon/status/2041889677343343014
🚨 Over 1 billion rows of psychiatric genetics data. Now on Hugging Face. ADHD. Depression. Schizophrenia. Bipolar. PTSD. OCD. Autism. Anxiety. Tourette. Eating disorders. 12 disorder groups. 52 publications. Every GWAS summary statistic from the Psychiatric Genomics
https://x.com/MaziyarPanahi/status/2041501396692873308
🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company @AGIBOTofficial just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world
https://x.com/lukas_m_ziegler/status/2041508903863636121
Open Source Robotic Arm for All Developers [📍Github Below] A robotic arm project (reBot-DevArm) dedicated to lowering the barrier to learning Embodied AI. They focus on “”True Open Source”” (not just the code), they unreservedly open source everything: > Hardware Blueprints:
https://x.com/IlirAliu_/status/2040702009720881214
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