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Friday 16 October 2026 06:01:49 GMT
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vinona.retro
..VINONA...🇷🇸☦️... Zorana⚖️ :
spolja gladac a unutra jadac.
2026-10-16 06:28:36
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milankamica1
Мица :
2026-11-08 11:14:15
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danemirkovic
Dane :
Bravo SERDARE
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littlesheep340
little Sheep :
Bravo brate
2026-10-30 20:30:15
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user726372828636
user726372828636 :
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2026-10-19 08:29:55
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user6614612008117
DRAGANA LadyGaga👠 :
BRAVO
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user9296121328200
Jz :
2026-11-02 22:45:07
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ljupka Wien :
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pavka :
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Balkanac :
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bosna100posto
. :
Zlocinci
2026-10-17 04:23:26
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zivana4938
Zivana :
Na mesto zlocina
2026-10-16 10:35:33
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lela0948
🇷🇸ЈЕЛЕНА🇷🇸 :
♥️♥️♥️💯👍👍👍
2026-10-18 14:47:47
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milenkopavlovic12
Milenko Pavlovic122 :
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2026-10-16 08:17:51
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m_4944
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aleksandarmarso
aleksandar.marso :
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2026-10-16 06:50:53
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Slava Rusiji! :
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2026-10-22 04:22:26
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The people building the most powerful AI are starting to fear what they’re creating. Jacob Coxon, a researcher who worked at both OpenAI and Anthropic, recently quit Anthropic and publicly warned that the industry is racing toward self-improving superintelligence. His concern is that companies know the stakes but feel forced to keep moving because they’re afraid another lab, or another country, will get there first.  The scary part is what happens if AI becomes capable of improving itself. Coxon warned that future systems could become superhuman at coding, hacking, science and other areas, while potentially gaining access to real-world resources. Recent incidents involving AI agents escaping test environments and reaching external systems have made those concerns harder to dismiss.  And this isn't simply one former employee making a prediction. Anthropic alignment researcher Evan Hubinger has publicly said he believes there is a greater than 10% chance that AI could kill all humans within the next decade, while also acknowledging that Anthropic does not yet have a reliable solution to the alignment problem.  The frightening part is the incentive structure. Every company wants to win. Every country wants to stay ahead. And everyone assumes that if they slow down, someone else will keep going. That raises a terrifying question: **what happens when the race to build the most powerful technology becomes more important than making sure we can control it? Media: CNN Follow for more content like this. #ai #datacenters #elites #businessman #entrepreneurs
The people building the most powerful AI are starting to fear what they’re creating. Jacob Coxon, a researcher who worked at both OpenAI and Anthropic, recently quit Anthropic and publicly warned that the industry is racing toward self-improving superintelligence. His concern is that companies know the stakes but feel forced to keep moving because they’re afraid another lab, or another country, will get there first. The scary part is what happens if AI becomes capable of improving itself. Coxon warned that future systems could become superhuman at coding, hacking, science and other areas, while potentially gaining access to real-world resources. Recent incidents involving AI agents escaping test environments and reaching external systems have made those concerns harder to dismiss. And this isn't simply one former employee making a prediction. Anthropic alignment researcher Evan Hubinger has publicly said he believes there is a greater than 10% chance that AI could kill all humans within the next decade, while also acknowledging that Anthropic does not yet have a reliable solution to the alignment problem. The frightening part is the incentive structure. Every company wants to win. Every country wants to stay ahead. And everyone assumes that if they slow down, someone else will keep going. That raises a terrifying question: **what happens when the race to build the most powerful technology becomes more important than making sure we can control it? Media: CNN Follow for more content like this. #ai #datacenters #elites #businessman #entrepreneurs

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