L’entité ne va rien changer à son plan d’expansion barbare.
AI
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Mega Corps Gain Advance IA Access Through Controversial Deal
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Well, except this time it’s so they can sell advance access to a cartel of mega corps
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AI Q: The Humanoid Robot That Reads Emotions
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AI Q: The Emotion-Reading Humanoid #Robot That Reacts Like a Real Being
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
via @XRoboHub
#Robots #ArtificialIntelligence #Innovation #Technology #Tech pic.twitter.com/qbSfuVU1yLAI Q: The Emotion-Reading Humanoid #Robot That Reacts Like a Real Being
via @XRoboHub #Robots #ArtificialIntelligence #Innovation #Technology #Tech [Translated from EN to English]→ View original post on X — @ronald_vanloon, 2026-04-08 07:27 UTC
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LLM Verification Layers in Deterministic Pipeline Systems
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Every LLM output in a deterministic pipeline needs a verification layer. You're essentially building two systems.
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Eddie Xu’s robotics data collection startup impresses industry leaders
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One of the reasons I haven't been doing a whole lot of videos here is I've been meeting with companies behind the scenes in the robotics world, particularly those who are collecting data (video data from glasses, from sensor arrays, and stuff like that). Eddie is one of the most impressive people I've met in this journey. He's 18 years old. He built 1,000 glasses and collected tens of thousands of hours of video data from workers who were in factories wearing his glasses. That's stunning entrepreneurship. I've been studying his competitors and him (having dinner with most of them for a lunch meeting), and Eddie is right on point. There's a big hunger for robot training data, and it's coming with a holodeck training data need too. They're really the same thing. In other words, there's a big fucking market, and people who are collecting data like Eddie are at the forefront. You're right on point for being excited about Eddie. He's real impressive. Roy (@im_roy_lee) eddy xu is the single founder i’d refer more highly than anyone in the entire world i truly don’t know enough about robotic training data to understand if his bet on egocentric video data is correct but boy is he swinging for the fucking fences genuine G — https://nitter.net/im_roy_lee/status/2041763727725232343#m
→ View original post on X — @scobleizer, 2026-04-08 07:19 UTC
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AI Integration in Productivity Tools: Native vs Bolted-On Approach
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In almost every way, you talk to your spreadsheets, you talk to your email, you talk to your AI, and AI does shit. It's just better integrated and a better product overall. It's built from the ground up to be AI-built.The AI isn't bolted on the side where it just isn't
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Robot training data and holodeck demand surge among competitors
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I've been studying his competitors and him (having dinner with most of them for a lunch meeting), and Eddie is right on point. There's a big hunger for robot training data, and it's coming with a holodeck training data need too. They're really the same thing. In other words,
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AI Tool Transforms Screen Recordings into Professional Apple-Style Videos
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THIS AI TOOL TURNS SCREEN RECORDINGS INTO APPLE-LIKE VIDEOS
— Vaishnavi (@_vmlops) 8 avril 2026
someone spent 3 weeks building a tool
finally shipped it. opened loom. hit record. sent the demo out
nobody watched it
turns out boring screen recordings don't sell your product
dropped it into… pic.twitter.com/SnCftlHmb5THIS AI TOOL TURNS SCREEN RECORDINGS INTO APPLE-LIKE VIDEOS someone spent 3 weeks building a tool finally shipped it. opened loom. hit record. sent the demo out nobody watched it turns out boring screen recordings don't sell your product dropped it into kite.video instead 3d device mockups…ai camera follow.. animated text…synced music looked like apple made the demo…took 20 minutes free. 4k export. no signup needed
→ View original post on X — @scobleizer, 2026-04-08 07:14 UTC
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Vero: Open Reinforcement Learning Recipe for Visual Reasoning
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Vero: An Open RL Recipe for General Visual Reasoning Paper: arxiv.org/abs/2604.04917v1
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Vero: Open-Source Vision-Language Model Achieves SOTA Performance
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How do we build a visual AI that truly understands everything from charts to complex science?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Researchers at Princeton University present Vero.
Vero is a family of fully open-source vision-language models trained with a massive 600K sample dataset (Vero-600K) from 59 diverse… pic.twitter.com/nXMfBWfijMHow do we build a visual AI that truly understands everything from charts to complex science? Researchers at Princeton University present Vero. Vero is a family of fully open-source vision-language models trained with a massive 600K sample dataset (Vero-600K) from 59 diverse datasets, along with a novel reward system. This fully open recipe makes powerful visual reasoning accessible. Vero achieves SOTA performance for open-weight models, improving 3.7-5.5 points across 30 benchmarks on average. It even outperforms Qwen3-VL-8B-Thinking on 23 benchmarks without proprietary thinking data, excelling in spatial reasoning, STEM, chart interpretation, and more.