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    The safety argument for broad access to powerful AI

    One post praises OpenAI’s broad-access approach and argues that the vast majority of AI risks come from creating models, not deploying them. A reply asks how dangerous model creation could be stopped before it reaches that point.

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    TLDR

    One post credits OpenAI with trying to provide access to its most powerful models within weeks or months of their creation, arguing that broad access is compatible with safety. The author contends that the vast majority of risks come from model creation, and that misuse is easier to detect and contain than existential risk. A supportive reply calls broad access an underrated risk-reduction measure; a separate post argues that spreading capabilities lets systems harden as new capabilities arrive. Another reply asks how dangerous model creation could be stopped in time. The original author later says fears that labs will keep the strongest models for themselves are an obstacle to building a safety coalition.

    Combined views

    34.3K

    4 Sources, first seen 16d ago

    Combined views

    34.3K

    4 Sources, first seen 16d ago

    396 likes
    16d ago
    first seen 16d ago
    396 likes
    26 comments
    37 saves
    19 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    26 comments
    37 saves
    19 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    4 Sources

    @herbiebradley@tszzl Yes, IMO the demonstrated commitment to giving everyone intelligence is one of my favorite aspects of OpenAI, and is underrated as a risk-reducing action.
    @beffjezosAI Diffusion of capabilities is the most safe strategy actually, so all systems can harden as soon as a new capability comes online. Holding models back and compounding advantages behidn closed doors is actually what is dangerous (what Anthropic does)
    @mayfer@tszzl "the vast majority of risks are from the creation of the model and not from its deployment" interesting, how do you propose stopping the creation of models well before it gets to that point? i assume this is a viral contagion grey goo type event you're talking about?
    @tszzlI considered this, but i have found in the past few days an overwhelming backlash against pacing is that people fear the labs are going to retain access to the most powerful models and everyone else in the underclass. this is an active impediment to building the safety coalition

    4 Sources

    @herbiebradley@tszzl Yes, IMO the demonstrated commitment to giving everyone intelligence is one of my favorite aspects of OpenAI, and is underrated as a risk-reducing action.
    @beffjezosAI Diffusion of capabilities is the most safe strategy actually, so all systems can harden as soon as a new capability comes online. Holding models back and compounding advantages behidn closed doors is actually what is dangerous (what Anthropic does)
    @mayfer@tszzl "the vast majority of risks are from the creation of the model and not from its deployment" interesting, how do you propose stopping the creation of models well before it gets to that point? i assume this is a viral contagion grey goo type event you're talking about?
    @tszzlI considered this, but i have found in the past few days an overwhelming backlash against pacing is that people fear the labs are going to retain access to the most powerful models and everyone else in the underclass. this is an active impediment to building the safety coalition