The #AI Timeline by @Python_Dv #ArtificialIntelligence #MachineLearning #ML #Technology
→ View original post on X — @ronald_vanloon, 2026-04-09 12:18 UTC
RESEARCH
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LCMs: A New Cognitive Layer for AI Beyond LLMs
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LLMs predict tokens.
LCMs reason in concepts. That's the shift. Language-agnostic meaning → better abstraction, longer context, less repetition. If it works, this isn't an upgrade.
It's a new cognitive layer for AI. [Translated from EN to English]→ View original post on X — @ingliguori, 2026-04-09 12:17 UTC
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AI Race Leadership Shifts: OpenAI No Longer Frontrunner
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The AI race narrative always has a temporary leader. Six months ago this post would have been written about OpenAI running away with it.
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Google’s MedGemma 1.5: Specialized 4B Medical Model Outperforms Larger Models
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Really exciting: Google's MedGemma 1.5 packs 3D radiology, whole-slide pathology, longitudinal X-ray analysis, and clinical document understanding into a single open-weight 4B model (!), with a massive +47% F1 jump in pathology and +11% in MRI classification over v1. The specialized 4B model outperforms Gemini 3.0 Flash on out-of-distribution CT analysis, proving that targeted medical post-training beats raw scale. <3 Samuel Schmidgall (@SRSchmidgall) The MedGemma 1.5 technical report is out 👇 arxiv.org/pdf/2604.05081v1 — https://nitter.net/SRSchmidgall/status/2041973798589903260#m
→ View original post on X — @kimmonismus, 2026-04-09 12:08 UTC
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ZerveHack Hackathon: $10K Prizes for AI Projects
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Hackathons, hosted by @Devpost at https://
devpost.com — including… ZerveHack by Zerve AI PRIZES: $10,000 in cash DEADLINE: Apr 29, 2026 Use Zerve to build something original with curated datasets JOIN THE HACKATHON: http://
bit.ly/zerve25i -
Engineer praises AI lab technical achievement over PR stunts
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As engineer this is more impressive than any PR stunt or partnership statement by any other AI labs
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Chinese dominance in open source AI projects
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i really like this project and it’s increasingly looking like open (source) ai is synonymous with chinese ai
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Robot Successfully Folds T-Shirts from Unstructured Initial States
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This is the full video of the hardest version of the task: t-shirt folding from unstructured initial states.
— LeRobot (@LeRobotHF) 9 avril 2026
This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold.
Full details on data collection… https://t.co/iC92SVqBJN pic.twitter.com/GFS16n7PzOThis is the full video of the hardest version of the task: t-shirt folding from unstructured initial states. This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold. Full details on data collection strategies in the blog below. 👇 LeRobot (@LeRobotHF) Releasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo… — https://nitter.net/LeRobotHF/status/2041542790610297259#m
→ View original post on X — @clementdelangue, 2026-04-09 11:03 UTC
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Physics-Based AI Models Transform Engineering
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AI Models Trained on Physics Are Changing Engineering spectrum.ieee.org/large-phys… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-09 11:01 UTC
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Rembrandt-2 Face Generation Model Shows Promising Early Results
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Rembrandt-2, the next iteration to Rembrandt-1, is a powerful face image generation model, which is still under training, and here are some results with 15% of the total training steps. The results look awesome! I will share the source code for both Rembrandt-1 and Rembrandt-2 on Github, alongside the trained weights, as this is an open model. Please note that, this is not the full trained model and the images have artifacts, it's just 15% of the total training steps, so this is not a right time to judge. Rem2 is still undertraining.
→ View original post on X — @scobleizer, 2026-04-09 10:23 UTC