21 Matching Annotations
  1. Last 7 days
    1. In the past, exploiting an application required a highly skilled hacker with years of experience and a significant investment of time to find and exploit vulnerabilities.

      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。

    1. But those raising hue and cry about the government's unsurprising attempt to wield a technology for military purposes that all parties agree will define humanity's fate must at least attempt to justify why they believe someone else deserves that power.

      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。

  2. Apr 2026
    1. Within three to four months, you can run a model with similar performance on your laptop; 23 months later, you can run the same model on your phone.

      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。

  3. Jan 2026
    1. a genius in everyone’s pocket could remove that barrier, essentially making everyone a PhD virologist who can be walked through the process of designing, synthesizing, and releasing a biological weapon

      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

  4. Jan 2025
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  7. Sep 2023
    1. inventions have extended man’s physicalpowers rather than the powers of his mind.

      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.

  8. Oct 2021
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  15. Nov 2019
    1. Tech Literacy Resources

      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

  16. May 2019
    1. a working station that has a visual display screen some three feet on a side; this is his working surface, and is controlled by a computer (his "clerk") with which he can communicate by means of a small keyboard and various other devices

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

      Tektronix 4014.jpg<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

  17. Sep 2018
    1. Large computer networks (and their associated users) may “wake up” as superhumanly intelligent entities.

      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.

    2. performance curves beginning to level off – because of our inability to automate the design work needed to support further hardware improvements. Wed end up with some very powerful hardware, but without the ability to push it further

      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.

    3. The maximum possible effectiveness of a software system increases in direct proportion to the log of the effectiveness (i.e., speed, bandwidth, memory capacity) of the underlying hardware.

      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.