People spend roughly 10/hours working 5 days a week. [8 hours at work, 2 hours in traffic; this is the norm across most major cities] As AI gets adopted: governments can reform labour laws. Institute 4-6 hour/work days. Allow people more time with their families. I am not
AI
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Not Liking Chhole Bhature Is Cultural Treason
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I can accept everything, but not liking chhole bhature is an act of treason.
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Porcospino Flex: Nature-Inspired Robot Navigates Unreachable Spaces
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From Nature to #Robotics: Porcospino Flex Navigates the Unreachable
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
by @rohanpaul_ai
#Robots #Engineering #EmergingTech #Innovation pic.twitter.com/uFStvXr4NwFrom Nature to #Robotics: Porcospino Flex Navigates the Unreachable by @rohanpaul_ai #Robots #Engineering #EmergingTech #Innovation
→ View original post on X — @ronald_vanloon, 2026-04-12 06:19 UTC
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Revolutionary AI: Four Simultaneous Breakthroughs Change Everything
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Andreessen is right.
— Robert Scoble (@Scobleizer) 12 avril 2026
The investors, NVIDIA’s head of VC relationships, told me are already investing in a group of brain/computer interface companies.
Holodecks, virtual beings, and much better AI will arrive over next year.
People have no idea how amazing the glasses are that… https://t.co/sURkIjDozRAndreessen is right. The investors, NVIDIA's head of VC relationships, told me are already investing in a group of brain/computer interface companies. Holodecks, virtual beings, and much better AI will arrive over next year. People have no idea how amazing the glasses are that will start arriving in October. I bet the developer conferences at Google especially will be all about them. — GeniusThinking (@GeniusGTX) Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds
2) Money pours in
3) The technology fails to deliver
4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't take off. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what's really different about this time. AI has made four breakthroughs back to back. 1) Language models
2) Reasoning
3) Coding agents
4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia [Translated from EN to English]→ View original post on X — @scobleizer, 2026-04-12 06:09 UTC
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Muse Spark outperforms expectations after year without Meta models
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I think Muse Spark came in far better than most were expecting as the first new model attempt from Meta, especially given the fact that it has been a year since Llama 4 with no models at all (and that Llama 4 was generally considered a dead end).
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AI: Solution to the Energy Crisis, Not the Problem
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People haven’t figured out yet that AI makes EVERYTHING more efficient. https://t.co/CgwETf6sCR
— Robert Scoble (@Scobleizer) 12 avril 2026People haven't figured out yet that AI makes EVERYTHING more efficient. The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-12 06:03 UTC
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Questioning Milk and Sugar in Cheese Production
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Cheese I get, but milk & sugar is a highly questionable practice.
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Making Something Healthier, If Not Truly Healthy
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Well, that does make it ‘healthier’, if not healthy.
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Eight-Year-Old Robot Outdrives Next Year’s Rivian
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My robot is eight years old and drives better than next year’s Rivian. Thanks Tesla!
→ View original post on X — @scobleizer, 2026-04-12 05:59 UTC