Big part of growing up is realizing that there are more than two sides in any situation.
AI
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Kevin Ellis on DreamCoder: Neurosymbolic AI and Program Synthesis
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On the pod: our most-requested guest! @ellisk_kellis from @Cornell shares the origins of his influential neurosymbolic paper "DreamCoder".
— Ndea (@ndea) 7 avril 2026
Plus: program synthesis, wake-sleep library learning, world models, running an AI research lab, and more. pic.twitter.com/MS0mW0b2y1On the pod: our most-requested guest! @ellisk_kellis from @Cornell shares the origins of his influential neurosymbolic paper "DreamCoder". Plus: program synthesis, wake-sleep library learning, world models, running an AI research lab, and more.
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Stanford AI Index 2026 Analyzes AI’s Impact on Research Economy Policy
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The #AIIndex2026 returns this year with comprehensive analysis from an expanded interdisciplinary team of experts – bringing fresh perspectives and deeper insights on how AI is shaping research, the economy, policy, and public opinion. Subscribe here: https://t.co/iMfE3xkyHG pic.twitter.com/e3miEDcBNB
— Stanford HAI (@StanfordHAI) 7 avril 2026The #AIIndex2026 returns this year with comprehensive analysis from an expanded interdisciplinary team of experts – bringing fresh perspectives and deeper insights on how AI is shaping research, the economy, policy, and public opinion. Subscribe here: hai.stanford.edu/ai-index
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Two New Marble Model Updates Released for Scale and Quality
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We're excited to be rolling out two model updates today!
— World Labs (@theworldlabs) 7 avril 2026
Marble 1.1: Improves lighting and contrast, with a major reduction in visual artifacts.
Marble 1.1-Plus: Our new model built for scale. Create larger, more complex environments than ever before. pic.twitter.com/pslqVXNqFaWe're excited to be rolling out two model updates today! Marble 1.1: Improves lighting and contrast, with a major reduction in visual artifacts. Marble 1.1-Plus: Our new model built for scale. Create larger, more complex environments than ever before.
→ View original post on X — @scobleizer, 2026-04-07 16:32 UTC
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GLM 5.1 Open-Source Model Tops SWE-Bench Pro Performance
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The best performing model on SWE-Bench Pro is open-source on @huggingface! Welcome GLM 5.1! huggingface.co/zai-org/GLM-5…
→ View original post on X — @clementdelangue, 2026-04-07 16:31 UTC
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Signal-based agent adjustments via grep in AGENTS.md
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honestly just signal for me to then scan sessions and ask the agent to adjust AGENTS.md. Super easy yo grep. Ognyan Genev (@ogenev0) It's so fun to read @badlogicgames agentic prompts, maybe I'm too kind with my agents 🙂 "jesus fuck, i'm so fucking confused wtf are you doing?" — https://nitter.net/ogenev0/status/2041549037447389356#m
→ View original post on X — @clementdelangue, 2026-04-07 16:29 UTC
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GLM-5.1: Revolutionary Open-Source Agentic Coding Model Released
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Another big release: GLM-5.1! China is on fire! significant increase in evals compared to GLM-5.0 tl;dr GLM-5.1 is the new open-source agentic coding model that significantly outperforms its predecessor by sustaining long-horizon problem-solving over hundreds of iterations, continuously improving results instead of plateauing, achieving state-of-the-art performance on complex software engineering benchmarks. Z.ai (@Zai_org) Introducing GLM-5.1: The Next Level of Open Source – Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. – Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days. — https://nitter.net/Zai_org/status/2041550153354519022#m
→ View original post on X — @kimmonismus, 2026-04-07 16:27 UTC
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Gravity-Defying Robotic Warehouse System with Ceiling and Wall Climbing
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Gravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
— Ronald van Loon (@Ronald_vanLoon) 7 avril 2026
via @ZappyZappy7
#Robot #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/ks5DdvJcWXGravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation via @ZappyZappy7 #Robot #MachineLearning #ArtificialIntelligence #ML
→ View original post on X — @ronald_vanloon, 2026-04-07 16:25 UTC
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Deepseek-v4 Confirmed: Major AI Model Release Announcement
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Looks like Deepseek-v4 confirmed. Get ready friends! The whale is back Andri Heeb (@andri_heeb) according to itself, yeah — https://nitter.net/andri_heeb/status/2041549379228615000#m
→ View original post on X — @kimmonismus, 2026-04-07 16:24 UTC
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Embeddings: The Unsung Hero Driving Model Accuracy Forward
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Embedding is an unsung hero in model accuracy and today is a big leap forward. It's at the heart of grounding; it's the layer that does the hard work of searching, retrieving, organizing, and connecting information across sources for a holistic response.