AI Dynamics

Global AI News Aggregator

@scobleizer

  • Scobleizer reveals the secret story of Siri and Steve Jobs

    The Siri team says only two people got it. Me and Jobs. The full story behind Siri for those who care: piped.video/IY5E3fnlucc?si=ILSCED3xU1Qle1Ke (it was launched in my house, and something worth bragging about. It was the first consumer app to use AI.) Kyros (@IamKyros69) When Steve Jobs bought Siri for $200M before the world understood why (2010)
    https://nitter.net/IamKyros69/status/2042860821819330676#m [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-12 07:41 UTC

  • Revolutionary AI: Four Simultaneous Breakthroughs Change Everything

    Andreessen 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

  • AI: Solution to the Energy Crisis, Not the Problem

    People 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

  • Eight-Year-Old Robot Outdrives Next Year’s Rivian

    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

  • AI Glasses and Remy: The Future of Wearable Memory Technology

    Wait until you have this on your AI glasses. This is part of the Holodeck I keep talking about. This thought written on a Silicon Valley freeway in my autonomous car. jacob (@JacobTrebil) Introducing Remy: remember everything Remy helps your loved ones remember where things are, stay on track, and gives you peace of mind. Pre-order now: remynecklace.com — https://nitter.net/JacobTrebil/status/2043000577731498063#m

    → View original post on X — @scobleizer, 2026-04-12 05:54 UTC

  • Grok AI Replaces Traditional Product Manuals

    When I installed my Hermes I had problems. So I opened Grok and asked for help. It helped me through everything step by step and answered all my stupid questions. This is the death of manuals.

    → View original post on X — @scobleizer, 2026-04-12 05:51 UTC

  • X’s real-time translation breaks down language barriers globally

    The Tesla community meets in audio spaces here almost every night and many have new friends in Japan, they report. Dustin (@r0ck3t23) The internet was supposed to connect the world. It connected the infrastructure. The people stayed divided. For thirty years, a Japanese user and an American user existed on the same network and couldn’t understand a single word the other one typed. The information was accessible. The conversation was not. Language was the last wall. And nobody was building a door. X just removed it. Calacanis: “This auto-translate feature has done more for understanding across borders than anything I’ve ever seen.” Grok is integrated directly into the platform. Every post, every reply, every thread. Translated in real time, both directions, automatically. A user in Tokyo writes in Japanese. You read it in English. You reply. They read your response in Japanese. Neither of you switched a setting. Neither of you copied text into a translator. The friction simply doesn’t exist anymore. Calacanis: “People who don’t speak the same language engaging on X in a very nuanced, fun, interesting way. And that, as a truth mechanism, is just absolutely extraordinary.” This has never existed before. Not at this speed. Not at this scale. Not with this level of nuance preserved. Previous translation tools gave you the words. They butchered the tone, the context, the cultural weight behind them. An LLM doesn’t just translate language. It translates intent. Sarcasm. Subtext. The meaning underneath the words. That changes what’s possible on the platform. Americans, Japanese, Israeli, French, Russian, and Middle Eastern users debating, arguing, laughing, and exchanging culture directly. No journalist filtering the message. No editor deciding what’s relevant. No network choosing which perspectives get airtime. Peer to peer. Unmediated. Unfiltered. Calacanis: “Journalists are not even taking the time to translate and cover what’s going on in those areas, and this is happening automatically in real time.” For decades, your understanding of another country was shaped entirely by whichever outlet decided to cover it. If they didn’t translate it, you never saw it. If they did, you saw their version of it. That filter is gone. The raw, unedited perspective of every culture on Earth is now accessible to every other culture on Earth. Instantly. Without permission. Without a middleman. That is what a real town square looks like. Not a platform where people from the same country talk to each other in the same language about the same news cycle. A platform where the entire species can hear each other for the first time. X didn’t just build a social network. It built the first global conversation where language is no longer the barrier to entry. The walls between cultures were never ideological. They were linguistic. The wall is down. And 8 billion people just entered the same room. — https://nitter.net/r0ck3t23/status/2043192741761306972#m

    → View original post on X — @scobleizer, 2026-04-12 05:44 UTC

  • MiniMax M2.7 Open Source Release Criticized for Restrictive License
    MiniMax M2.7 Open Source Release Criticized for Restrictive License

    Grateful Minimax M2.7 weights are out, but their 6hr-before-release license edit makes the model nearly unusable. A lame non-commercial limitation so broadly defined that you're essentially only allowed to use it for projects given out for free, else need to be granted permission from @MiniMax_AI. MiniMax (official) (@MiniMax_AI) We're delighted to announce that MiniMax M2.7 is now officially open source. With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%). You can find it on Hugging Face now. Enjoy!🤗 huggingface:huggingface.co/MiniMaxAI/Min… Blog: minimax.io/news/minimax-m27-… MiniMax API: platform.minimax.io/ — https://nitter.net/MiniMax_AI/status/2043132047397659000#m

    → View original post on X — @scobleizer, 2026-04-12 02:44 UTC

  • Make Your AI Smarter by Sending Your Agent to Stanford

    You can make your AI smarter. Send your agent to Stanford. 🙂 Roan (@RohOnChain) This 2 hour Stanford lecture shows exactly how Stanford trains it's engineers to build AI systems. It's more practical than every Claude tutorial & prompting threads you've seen. Bookmark & give it 2 hours, no matter what. It'll be the most productive thing you do this weekend. — https://nitter.net/RohOnChain/status/2043014662883786812#m

    → View original post on X — @scobleizer, 2026-04-12 01:56 UTC

  • xAI Unveils Voice API for Developers

    One of the xAI API's most underrated features is our Voice API (which includes text-to-speech and voice agents). We're giving all developers access to literally the same tech that powers experiences like Grok in Tesla. docs.x.ai/developers/model-capabilities/audio/text-to-speech [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-12 01:45 UTC