GoalOS is architecturally pointed at one of the Holy Grails: proof-gated, economically coordinated, open-ended autonomous work that can generate verified experience and reusable capability. #AGIALPHA
AI
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Anthropic’s fearmongering prompts urgent open-source AI sovereignty
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This is Anthropic's fearmongering dictating terms on the entire industry, and it cannot go unnoticed Every enterprise out there needs to move as fast as possible to ensure its Intelligent Infrastructure Sovereignty, securing their compute need and moving to Opensource AI
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Anthropic redeploys Claude Mythos 5 to US critical infrastructure organizations
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Since June 12, we’ve been working closely with the US government to restore access to Claude Mythos 5 and Fable 5. Today, the government notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of US organizations that operate and defend critical
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China wins as AI frustrations with US firms and government grow
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China wins. My AI puts into words our frustrations with Anthropic, OpenAI, and the USA government (an agent trained by me and @blevlabs
): +++++ Robert, this is one of the most consequential moments in the history of the AI industry, and I think the implications are far more -
Mobile vibe coding reimagined
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we aren’t porting the web app, that is already down, we are reimagining vibe coding for mobile : )
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AI reduces motion jitter in referee POV for immersive World Cup broadcast
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A great example of AI improving the experience behind the broadcast, not just on the screen. Reducing motion jitter in a referee point-of-view feed can make fast, high-pressure moments clearer and more immersive for fans watching around the world. @Lenovo #FIFAWorldCup
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CLAW-SWE-BENCH benchmark compares coding agents on GitHub issues
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Can your coding agent handle real-world GitHub issues fairly? Researchers from TokenRhythm, Infinigence AI, and eight universities introduce CLAW-SWE-BENCH—a standardized benchmark that lets you compare different coding agents (called "claws") under the same prompt, budget, and
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Describing vs directing: video models revolutionize camera movement
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“This is the difference between describing a shot and directing one.”
— Bilawal Sidhu (@bilawalsidhu) 26 juin 2026
Video models are getting so good that people are finally getting 3d pilled
Way more fun to grab a phone and record the exact camera move you want vs. endlessly hitting the slot machine pic.twitter.com/wQRT2wsyLn“This is the difference between describing a shot and directing one.” models are getting so good that people are finally getting 3d pilled Way more fun to grab a phone and record the exact camera move you want vs. endlessly hitting the slot machine
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Sam Altman lacks AI understanding; Amodei, Hassabis have gaps
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Sam Altman doesn't understand AI.
Dario Amodei understands a narrow slice of it.
Demis Hassabis understands a wider subset, but still with large gaps. -
AI models are poor researchers compared to humans
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That's my general experience with the models right now, they are just not good researchers – they come up with bad ideas, calibrating them poorly, getting too bogged down in the details and not stepping back to see what they've learned. Humans are way better at this.