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Скачать или смотреть AI Scams That Were Actually People!

  • Sumsub
  • 2025-09-04
  • 1780
AI Scams That Were Actually People!
AIArtificial IntelligenceMachine LearningDeep LearningGenerative AIAI tutorialAI toolsAI explainedAI in 2025AI trendsAI applicationsAI ethicsChatGPTAI softwareFuture of AIAI newssumsubai techai technologyai developmentai updatesai newshuman vs robothuman vs aiai vs humanai vs realbuilder.aiai builderbuilder aibuilder ai exposedAi Scams: The Complete Ai Timeline...Explained!mechanical turkeliza
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Описание к видео AI Scams That Were Actually People!

We delve into the history of AI over the years all the way through to today. The question is, where will AI be in in a few years from now?
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00:00 - Introduction
01:09 - The Mechanical Turk
02:50 - Alan Turing
03:36 - Eliza (Virtual Therapist)
04:14 - Deep Blue
04:58 - Amazon
05:44 - SD2 Labs & Engineer.ai
08:10 - Alexander Lyashuk (Sumsub AI expert)
11:23 - Builder.AI
16:08 - Gergely Orosz
18:53 - Sumsub's Summy AI Assistant
19:20 - Why this matters

It's surreal to think how quickly AI appeared out of nowhere and now it's integrated into so many of our day to day actions. From virtual assistants planning your life, to LLMs answering every query in seconds. The world as we know it is changing at a rapid rate...now more than ever.

But where did it actually all begin? Well in this video we go over the roots of Ai and it's slow growth to what it's become today. Not only that, it turns out the not all AI is what you expect - some are a whole lot more human, you just don't know it yet. From the Mechanical Turk, to Eliza and so much more there's countless examples of where AI was powered by people - deceiving thousands in the process.

What's your stance on AI being powered by Humans rather than completely autonomous? Let us know in the comments below!

#ai #aitechnology #aitech #tech #aiscams

Sumsub — empowering compliance and anti-fraud teams to fight money laundering, terrorist financing, and online fraud.

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Sumsub — empowering compliance and anti-fraud teams to fight money laundering, terrorist financing, and online fraud.

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