10 #MachineLearning #Algorithms for Beginners by @PythonPr #AI #ArtificialIntelligence #ML #DL
→ View original post on X — @ronald_vanloon, 2026-04-08 04:13 UTC

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10 #MachineLearning #Algorithms for Beginners by @PythonPr #AI #ArtificialIntelligence #ML #DL
→ View original post on X — @ronald_vanloon, 2026-04-08 04:13 UTC
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Trending on Hacker News rn. slate.com/technology/2019/02…
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What if we could teach humanoid robots intricate skills more efficiently than ever before?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
The USC Physical Superintelligence (PSI) Lab, NVIDIA, and WorldEngine introduce Ψ0 (Psi-Zero).
Their new open foundation model rethinks how humanoids learn complex tasks by decoupling… pic.twitter.com/BK2ADXJ6GB
What if we could teach humanoid robots intricate skills more efficiently than ever before? The USC Physical Superintelligence (PSI) Lab, NVIDIA, and WorldEngine introduce Ψ0 (Psi-Zero). Their new open foundation model rethinks how humanoids learn complex tasks by decoupling the learning process: it first acquires general visual-action understanding from human videos, then masters precise robot control using high-quality humanoid data. Ψ0 sets a new standard for universal humanoid loco-manipulation, achieving over 40% higher success rates across multiple complex tasks while using more than 10 times less training data than prior state-of-the-art approaches. Ψ0: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation Paper: arxiv.org/abs/2603.12263 Project: psi-lab.ai/Psi0/ Code: github.com/physical-superint… Our report: mp.weixin.qq.com/s/yvkG5ZcO1… 📬 #PapersAccepted by Jiqizhixin
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It keeps compounding I learned today from an AI science company that built one that is continually learning.
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This is for off-the-shelf models. With fine-tuning/post-training, open-source models beat closed source in a lot of specialized tasks/areas
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Preparation for tomorrow's live discussion here with @NousResearch's CTO (at 4 p.m. Pacific Time). The New Stack (@thenewstack) OpenClaw and Hermes Agent take different approaches to persistent AI coding assistants. One prioritizes ecosystem reach, the other deep learning over time. thenewstack.io/persistent-ai… — https://nitter.net/thenewstack/status/2039719566624891038#m
→ View original post on X — @scobleizer, 2026-04-08 02:42 UTC

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#AI Risk Landscape 2026 by @Khulood_Almani #Privacy #Infosec #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-08 02:24 UTC
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there won't be a need for psychedelics anymore
— albs— (@albfresco) 8 avril 2026
just vr goggles and latent space https://t.co/LlYcYvajpz
there won't be a need for psychedelics anymore just vr goggles and latent space Benjamin Bardou (@benjaminbardou) Vertigo of Latent Space Montage marked the decisive invention of cinema: a mode of associating images capable of producing new relations. Yet this potential has remained largely unexplored, as cinema has most often reproduced narrative forms inherited from the novel. With artificial imagination, another regime of images emerges. Images are no longer simply arranged; they transform into one another within a continuous space. It then becomes possible to work not with sequences, but with transitions, passages, thresholds. Vertigo is approached here as a latent structure, a field of forms in circulation. The film becomes a set of persistent forms that reactivate, deform, and recombine in contact with other images. What is at stake here is less a reinterpretation of the film than an attempt to approach thought in action: its movement, its bifurcations, its reminiscences. In The Flow, this research unfolds on another scale. It seeks to follow the flow of consciousness, not as narrative, but as a continuous dynamic in which films, memories, and history intermingle and circulate. This work around Vertigo constitutes a variation: a way of exploring how a film can dissolve into this flow and become one of the sites from which thought begins to move. — https://nitter.net/benjaminbardou/status/2041519539234508968#m
→ View original post on X — @scobleizer, 2026-04-08 02:15 UTC

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GLM 5.1 is coming huggingface.co/zai-org/GLM-5…. Coding is the cornersone and Long Horizon Task (LHT) is the new feature this time. focus more on 1. memory 2. evolving/continual learning 3. self judge/reflextion.
→ View original post on X — @clementdelangue, 2026-04-08 02:02 UTC
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That time when DARPA turned the whole atmosphere into a sensor pic.twitter.com/aRhzrEfQs6
— Bilawal Sidhu (@bilawalsidhu) 8 avril 2026
That time when DARPA turned the whole atmosphere into a sensor