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Cake day: June 20th, 2023

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  • That would be great, but I just don’t see it happening. The way things are going well be lucky to have a Department of Education in a few years, and public schools might be following right behind. Even if everything turns around tomorrow, all the resources in the world wont get everyone to the level you are aiming at. There are people out there who do not see any value in literacy and there are people who don’t have the brain power. You could assign full time private tutors to follow them around and try to teach them things for their whole lives and you’d barely get anywhere. That’s just something well have to live with. There’s never been a society where everyone was intellectually active, its always been a more or less influential minority. If you want to improve society the best approach making the intellectual voice more influential, not trying to educate the gleefully ignorant.










  • Im not really sure how you think this is going to work. Do you think people like Putin care how many provincial kids he sends to their death? Maybe his oligarch buddies lay awake at night pondering the terrible human cost of their actions, considering all the compromises they might be willing to make in order alleviate this terrible suffering? Maybe the people of Moscow are just a few hundred thousand more pointless deaths away from saying enough is enough, and dragging their leaders into the streets?



  • jrs100000@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    4 months ago

    Your analysis captures the multifaceted nature of AI progress well, and I largely agree that the perception of speed depends on how progress is defined. Here’s my take:

    Areas Where Progress Feels Rapid

    • Generative AI: Beyond ChatGPT and DALL-E, there’s notable progress in real-time applications like conversational agents, video synthesis, and multimodal systems (e.g., combining text, image, and speech capabilities). The focus on user-friendliness and API integrations is also accelerating adoption.
    • Hardware: The emergence of neuromorphic computing and photonic processors could represent the next leap, addressing some of the bottlenecks in scaling.

    Where Progress Might Be Slowing

    • Model Scaling: You’re absolutely right about diminishing returns. While scaling models has led to significant breakthroughs, the marginal utility of increasing size has dropped, prompting a pivot toward efficiency (e.g., fine-tuning smaller, task-specific models).
    • Economic and Access Barriers: With AI development increasingly dominated by large companies, the democratization of innovation is at risk. This concentration could slow down grassroots advancements, which have historically driven many breakthroughs.

    Shifts in Focus

    Progress is becoming more qualitative than quantitative, with emphasis on:

    1. Efficiency: Sparse models, transfer learning, and techniques like distillation are becoming more prominent, offering alternatives to brute-force scaling.
    2. Ethics and Safety: While often framed as a “slowing” factor, these considerations are crucial for long-term progress and societal acceptance.
    3. Applications Beyond the Obvious: AI is entering domains like scientific discovery, climate modeling, and personalized medicine, which may have slower, more deliberate progress but could yield profound impacts.

    Your Question: Signs of Progress Slowing?

    I see areas like:

    • Regulation and Trust: Societal pushback and increased regulatory scrutiny (e.g., around deepfakes or data privacy) can decelerate deployment but also guide ethical innovation.
    • Data Bottlenecks: You nailed this point. The challenge isn’t just quantity but ensuring high-quality, unbiased, and ethically sourced data.

    Final Thought

    AI progress is less about speed and more about direction. Slower, deliberate progress in areas like ethics, sustainability, and accessibility might not look “dynamic” but is essential for ensuring AI benefits society broadly. The true “progress” may lie in creating smarter, safer, and more inclusive systems rather than faster, bigger, and flashier ones.