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  • Google’s AI Watermark Cracked by One Person
    Google’s AI Watermark Cracked by One Person

    By

    @godofprompt

    –

    BREAKING: GOOGLE’S “UNBREAKABLE” AI WATERMARK JUST GOT JAILBROKEN BY ONE GUY WITH A LAPTOP. I don’t think people understand the gravity of what just happened. Every single image Nano Banana has ever generated carries SynthID, an invisible watermark baked into every pixel.

    → View original post on X — @godofprompt

  • Where to Look for Generative AI Risks – MIT Sloan
    Where to Look for Generative AI Risks – MIT Sloan

    By

    @ronald_vanloon

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    Where to look for #GenerativeAI risks by Beth Stackpole @MITSloan Learn more: bit.ly/4uybBsA #LLM #GenAI #ArtificialIntelligence #MachineLearning

    → View original post on X — @ronald_vanloon, 2026-04-12 07:48 UTC

  • Claude Code daily use without observed regression issues

    By

    @whats_ai

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    TBH I use Claude Code daily and have not seen this. Would want to see the methodology before calling it a regression.

    → View original post on X — @whats_ai

  • OpenAI Updates Subscription Pricing and Model Access Documentation

    By

    @reach_vb

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    We document exactly what you get from each model for all subscription here: https://
    developers.openai.com/codex/pricing The only change that has been made is to tweak the number of messages you can send in the 5 hour window so that the plan lasts long since the 2x promo has ended

    → View original post on X — @reach_vb

  • Memory Importance in Viral Blog Discourse

    By

    @whats_ai

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    This blog made the rounds for a reason. Memory isn't optional!

    → View original post on X — @whats_ai

  • AI Adoption Could Enable 4-6 Hour Work Days

    By

    @akshat_world

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    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

    → View original post on X — @akshat_world

  • Revolutionary AI: Four Simultaneous Breakthroughs Change Everything

    By

    @scobleizer

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    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

  • Muse Spark outperforms expectations after year without Meta models

    By

    @emollick

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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).

    → View original post on X — @emollick

  • Grok AI Replaces Traditional Product Manuals

    By

    @scobleizer

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

    By

    @scobleizer

    –

    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