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@user4477330496101: Compact 3-in-1 Retractable Keychain & Carabiner – Steel Cable Rope Tool, Great for Sport, Travel & Key Organization#tiktokshopmemorialday #EveryBodySwim #TikTokSwimWeek

A century of cleaning products
A century of cleaning products
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Sunday 14 June 2026 21:45:00 GMT
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ganito na pala mga bata ngaun?? #fyp #kenpaul
ganito na pala mga bata ngaun?? #fyp #kenpaul
CROSS OVER EPISODEEEEE ALSO GOOD MORNING GUYS I JUST WOKE UP I HAVE IMSONIA 😒✌️
CROSS OVER EPISODEEEEE ALSO GOOD MORNING GUYS I JUST WOKE UP I HAVE IMSONIA 😒✌️
Replying to @💀 jawline trick
Replying to @💀 jawline trick
это шутка #fyr #рекомендации #репост
это шутка #fyr #рекомендации #репост
Agencies like DARPA poured money into it. So yeah—military and intelligence sectors have always been ahead of the public in some areas. But here’s the reality check: The kind of AI people imagine—self-improving, highly conversational, near-human intelligence—depends on: * Massive datasets (internet-scale) * Huge computing power (GPUs, cloud infrastructure) * Modern techniques like deep learning (which only really took off around the 2010s) That combo simply didn’t exist in the 80s, 90s, or even early 2000s. Even big breakthroughs like AlexNet in 2012 were public, not secret—and they shocked the research community because they were new, not something governments had quietly mastered decades earlier. So what’s likely true vs not: Plausible: * Governments had more advanced versions of narrow AI (surveillance, signal analysis, etc.) * Classified research pushed things slightly ahead of public knowledge * AI has been used quietly in intelligence for years #ai #theory #fake #cia #unsealed
Agencies like DARPA poured money into it. So yeah—military and intelligence sectors have always been ahead of the public in some areas. But here’s the reality check: The kind of AI people imagine—self-improving, highly conversational, near-human intelligence—depends on: * Massive datasets (internet-scale) * Huge computing power (GPUs, cloud infrastructure) * Modern techniques like deep learning (which only really took off around the 2010s) That combo simply didn’t exist in the 80s, 90s, or even early 2000s. Even big breakthroughs like AlexNet in 2012 were public, not secret—and they shocked the research community because they were new, not something governments had quietly mastered decades earlier. So what’s likely true vs not: Plausible: * Governments had more advanced versions of narrow AI (surveillance, signal analysis, etc.) * Classified research pushed things slightly ahead of public knowledge * AI has been used quietly in intelligence for years #ai #theory #fake #cia #unsealed
nag exercise ka unya naay nag away sa imung tungod
nag exercise ka unya naay nag away sa imung tungod

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