• Niespełnione obietnice technologii: Nowe technologie (w tym AI) obiecywały zwiększenie komfortu i skrócenie czasu pracy, jednak w praktyce często dokładają nowych obowiązków, komplikują procesy i wymagają dodatkowej nauki.
• Dwoisty wpływ na życie: Z jednej strony technologie ułatwiają komunikację i zwiększanie dochodów na poziomie makro, z drugiej – generują wysokie koszty zdrowotne i społeczne.
• Paradoks cyfrowego dobrostanu: Prawdziwy dobrostan cyfrowy zależy od zdolności człowieka do samoregulacji emocjonalnej. Osoby mające trudności psychologiczne częściej uciekają w kompulsywne korzystanie z technologii, co pogłębia ich niezadowolenie z życia.
• Złudne działanie komunikacji cyfrowej: Intensywne interakcje tekstowe dają nastolatkom jedynie krótkotrwałą ulgę w stresie (działają jak ersatz), lecz w dłuższej perspektywie upośledzają odporność psychiczną i naturalne mechanizmy radzenia sobie z emocjami.
• Wymierne koszty fizyczne i psychiczne: Hiperłączność prowadzi do schorzeń fizycznych (np. „smartfonowa szyja”, zespół cieśni, zmęczenie oczu) oraz zaburzeń psychicznych, takich jak FOMO, deprywacja snu, lęk i obniżona samoocena.
• Sztuczny substytut bliskości: Czatboty imitujące empatię (np. AI Companions) nie zastępują relacji międzyludzkich i redukują samotność tylko na chwilę. Badania dowodzą, że nawet przypadkowa rozmowa z żywym człowiekiem silniej buduje poczucie przynależności niż monolog z algorytmem.
• Wpływ na demografię i Wielkie Przeobrażenie Dzieciństwa: Historyczne spadki wskaźników dzietności wykazują korelację z rewolucjami technologicznymi (telewizja, internet, smartfony, algorytmiczne social media). W latach 2010–2015 nastąpiło przejście od swobodnej zabawy rówieśniczej do dzieciństwa zapośredniczonego przez ekrany, co pogłębia cyfrową samotność najmłodszych.
• Potrzeba powrotu do realnego życia: Rozwiązaniem kryzysu relacji nie są kolejne cyfrowe narzędzia, laptopy w szkołach czy aplikacje terapeutyczne, lecz świadomy „krok wstecz” w stronę rzeczywistych, bezpośrednich interakcji.

大多数人认为地图绘制需要专业的测绘技术和实地考察，但作者展示了仅通过AI分析卫星图像就能创建全球建筑地图，挑战了传统制图的专业壁垒和数据采集方法。

令人惊讶的是：文章揭示了网络安全领域的根本性转变——过去需要高技能黑客多年经验才能完成的漏洞利用工作，现在AI可以在短时间内完成。这种技术民主化虽然提高了效率，但也大大降低了攻击门槛，使网络安全形势急剧恶化。

令人惊讶的是：文章质疑那些反对政府将AI技术用于军事目的的人士未能提出替代方案，暗示这种批评缺乏建设性。这一观点挑战了常见的反战立场，提出了关于技术治理权力分配的深刻问题。

大多数人认为前沿AI技术需要很长时间才能普及到消费级设备，但作者认为前沿模型只需3-4个月就能在笔记本上运行，23个月就能在手机上实现，这种技术下放的速度远超行业普遍预期。

for - progress trap - AI - technology as an amplifier - technology acts as an amplifier, allowing humans to fly, to move at speeds faster than any known animal, to lift things no living creature can, etc - The danger is ignorance and polarized views combined with extreme self-rightiousness

for - AI - progress trap - Youtube - bioweapons is not the only threat. Nano technology and many others can be turned into weapons of mass destruction - RDeepSeek R1 just caught up with OpenAIs o1 - There is no moat@ What does this mean? - David Shapiro - 2025, Jan 29

08:18 Technology like AI enables one person businesses (see Sam Altman statement on 1 billion one person company)

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• for: AI - progress trap, technology - colonialism

I found this particularly interesting especially considering to the 'AI revolution' of sorts we are experiencing today. With tools such as ChatGPT, one may argue that our 'powers of the mind' will begin to decrease provided that we will become tempted to turn to this tool (and others) to do our work for us. Innovation continues to extend our physical rather than intellectual capabilities.

Why people believe Covid conspiracy theories: Could folklore hold the answer? | Coronavirus | The Guardian. (n.d.). Retrieved October 26, 2021, from https://www.theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer

AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus

Building the New Economy · Works in Progress. (n.d.). Works in Progress. Retrieved June 16, 2020, from https://wip.mitpress.mit.edu/new-economy

Nesta, (2020, May 15). Invisible work: Nesta talks to John Howkins. https://www.nesta.org.uk/event/live-stream-invisible-work/

Kurzweil, R. (2020 May 19). AI-Powered Biotech Can Help Deploy a Vaccine In Record Time. Wired. https://www.wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/

Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579–1586. https://doi.org/10.1016/S0140-6736(20)30226-9

Inside the Infinite Imagination of a Computer -- James Bridle

Platform capitalism, digital technology, and the future of work

This website is the "Resources" archive for the IgniteED Labs at Arizona State University's Mary Lou Fulton Teachers College. The IgniteED Labs allow students, staff, and faculty to explore innovative and emerging learning technology such as virtual reality (VR), artifical intelligence (AI), 3-D printing, and robotics. The left side of this site provides several resources on understanding and effectively using various technologies available in the IgniteED labs. Each resources directs you to external websites, such as product tutorials on Youtube, setup guides, and the products' websites. The right column, "Tech Literacy Resources," contains a variety of guides on how students can effectively and strategically use different technologies. Resources include "how-to" user guides, online academic integrity policies, and technology support services. Rating: 9/10

Here's an example of a state of the art workstation in 1962.

<br>By The original uploader was Rees11 at English Wikipedia. - Transferred from <span class="plainlinks">en.wikipedia</span> to Commons., CC BY-SA 2.5, Link

The great "AI" has been around for a while now, we human are largely working on a computer machine to think for "itself". As fascinating as it sounds, aren't we just being lazy; depending on a robot to do the work for us. What will happen with the human race if these AI start producing more and better equipped AI. We have a brain that can produce so much if we just decide to do things on our own.

Addressing the question of singularity, the author takes on an interesting perspective. One rationalization or opposing view is that technology is only as informational and intelligent as the creator itself. Just as the Mores conclude, "the computational competence of single neurons may be far higher than generally believed" and that "our present computer hardware might be [] 10 orders of magnitude short [compared to] our heads". This means that AI cannot surpass human intelligence as popularly believed. Rather, the article conjectures the possibility that if singularity were to occur, further innovation and improvements could never be made. I assume this is a biological and anatomical argument. Thus, implying that the technological constraints of AI cause it to be inferior to the biological makeup of the human brain. Thus, the author suggests that singularity can never really be fully realized.

Simply stating that there will always be something restrictive about what technologies can do. Thus far in human technological advances there have not been a single database that can support a beyond human software. As stated in the quotes, the 'mind' of the piece of software is limited to all the effectiveness of the hardware, and by the time that humans are able to invent something that could effectively contain this non-human beyond human brain there would be some counter measures in placed to reduce the risk of an AI taking over the human race. The resource cost would also discourage for such experiment to be funded as it would be expensive to fund the researcher on creating compatible parts and programmers to develop something that would resemble that of a human mind but something more advance. Programming is also another problem, humans do not fully understand the human mind so there is a very unlikely chance that some programmer is able to accidentally write a line of code that make an AI be able to extend further than what a human can comprehend. The idea of a technology singularity stays a theory but this one single quote assures that the technology singularity is far from what is achievable.