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    Technology

    LessWrong (Curated & Popular)

    Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma.

    If you’d like more, subscribe to the “Lesswrong (30+ karma)” feed.

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    Copyright: © 2023 LessWrong Curated Podcast

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    Latest Episodes:
    "Thoughts on responsible scaling policies and regulation" by Paul Christiano Oct 29, 2023
    Show notes

    I am excited about AI developers implementing responsible scaling policies; I’ve recently been spending time refining this idea and advocating for it. Most people I talk to are excited about RSPs, but there is also some uncertainty and pushback about how they relate to regulation. In this post I’ll explain my views on that:

    • I think that sufficiently good responsible scaling policies could dramatically reduce risk, and that preliminary policies like Anthropic’s RSP meaningfully reduce risk by creating urgency around key protective measures and increasing the probability of a pause if those measures can’t be implemented quickly enough.
    • I don’t think voluntary implementation of responsible scaling policies is a substitute for regulation. Voluntary commitments are unlikely to be universally adopted or to have adequate oversight, and I think the public should demand a higher degree of safety than AI developers are likely to voluntarily implement.
    • I think that developers implementing responsible scaling policies now increases the probability of effective regulation. If I instead thought it would make regulation harder, I would have significant reservations.
    • Transparency about RSPs makes it easier for outside stakeholders to understand whether an AI developer’s policies are adequate to manage risk, and creates a focal point for debate and for pressure to improve.
    • I think the risk from rapid AI development is very large, and that even very good RSPs would not completely eliminate that risk. A durable, global, effectively enforced, and hardware-inclusive pause on frontier AI development would reduce risk further. I think this would be politically and practically challenging and would have major costs, so I don’t want it to be the only option on the table. I think implementing RSPs can get most of the benefit, is desirable according to a broader set of perspectives and beliefs, and helps facilitate other effective regulation

    Source:
    https://www.lesswrong.com/posts/dxgEaDrEBkkE96CXr/thoughts-on-responsible-scaling-policies-and-regulation
    Narrated for LessWrong by TYPE III AUDIO.
    Share feedback on this narration.
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    "Announcing Timaeus" by Jesse Hoogland et al. Oct 29, 2023
    Show notes

    Timaeus is a new AI safety research organization dedicated to making fundamental breakthroughs in technical AI alignment using deep ideas from mathematics and the sciences. Currently, we are working on singular learning theory and developmental interpretability. Over time we expect to work on a broader research agenda, and to create understanding-based evals informed by our research.
    Source:
    https://www.lesswrong.com/posts/nN7bHuHZYaWv9RDJL/announcing-timaeus
    Narrated for LessWrong by TYPE III AUDIO.
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    [HUMAN VOICE] "Alignment Implications of LLM Successes: a Debate in One Act" by Zack M Davis Oct 23, 2023
    Show notes

    Support ongoing human narrations of curated posts:
    www.patreon.com/LWCurated
    Doomimir: Humanity has made no progress on the alignment problem. Not only do we have no clue how to align a powerful optimizer to our "true" values, we don't even know how to make AI "corrigible"—willing to let us correct it. Meanwhile, capabilities continue to advance by leaps and bounds. All is lost.

    Simplicia: Why, Doomimir Doomovitch, you're such a sourpuss! It should be clear by now that advances in "alignment"—getting machines to behave in accordance with human values and intent—aren't cleanly separable from the "capabilities" advances you decry. Indeed, here's an example of GPT-4 being corrigible to me just now in the OpenAI Playground.
    Source:
    https://www.lesswrong.com/posts/pYWA7hYJmXnuyby33/alignment-implications-of-llm-successes-a-debate-in-one-act
    Narrated for LessWrong by Perrin Walker.
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    "Holly Elmore and Rob Miles dialogue on AI Safety Advocacy" by jacobjacob, Robert Miles & Holly_Elmore Oct 23, 2023
    Show notes

    Holly is an independent AI Pause organizer, which includes organizing protests (like this upcoming one). Rob is an AI Safety YouTuber. I (jacobjacob) brought them together for this dialogue, because I've been trying to figure out what I should think of AI safety protests, which seems like a possibly quite important intervention; and Rob and Holly seemed like they'd have thoughtful and perhaps disagreeing perspectives.

    Quick clarification: At one point they discuss a particular protest, which is the anti-irreversible proliferation protest at the Meta building in San Francisco on September 29th, 2023 that both Holly and Rob attended.

    Also, the dialogue is quite long, and I think it doesn't have to be read in order. You should feel free to skip to the section title that sounds most interesting to you.
    Source:
    https://www.lesswrong.com/posts/gDijQHHaZzeGrv2Jc/holly-elmore-and-rob-miles-dialogue-on-ai-safety-advocacy
    Narrated for LessWrong by TYPE III AUDIO.
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    "LoRA Fine-tuning Efficiently Undoes Safety Training from Llama 2-Chat 70B" by Simon Lermen & Jeffrey Ladish. Oct 23, 2023
    Show notes

    Produced as part of the SERI ML Alignment Theory Scholars Program - Summer 2023 Cohort, under the mentorship of Jeffrey Ladish.

    TL;DR LoRA fine-tuning undoes the safety training of Llama 2-Chat 70B with one GPU and a budget of less than $200. The resulting models[1] maintain helpful capabilities without refusing to fulfill harmful instructions. We show that, if model weights are released, safety fine-tuning does not effectively prevent model misuse. Consequently, we encourage Meta to reconsider their policy of publicly releasing their powerful models.
    Source:
    https://www.lesswrong.com/posts/qmQFHCgCyEEjuy5a7/lora-fine-tuning-efficiently-undoes-safety-training-from
    Narrated for LessWrong by TYPE III AUDIO.
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    "Labs should be explicit about why they are building AGI" by Peter Barnett Oct 19, 2023
    Show notes

    Three of the big AI labs say that they care about alignment and that they think misaligned AI poses a potentially existential threat to humanity. These labs continue to try to build AGI. I think this is a very bad idea.

    The leaders of the big labs are clear that they do not know how to build safe, aligned AGI. The current best plan is to punt the problem to a (different) AI, and hope that can solve it. It seems clearly like a bad idea to try and build AGI when you don’t know how to control it, especially if you readily admit that misaligned AGI could cause extinction.

    But there are certain reasons that make trying to build AGI a more reasonable thing to do, for example:
    Source:
    https://www.lesswrong.com/posts/6HEYbsqk35butCYTe/labs-should-be-explicit-about-why-they-are-building-agi
    Narrated for LessWrong by TYPE III AUDIO.
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    [HUMAN VOICE] "Sum-threshold attacks" by TsviBT Oct 17, 2023
    Show notes

    Support ongoing human narrations of curated posts:
    www.patreon.com/LWCurated
    How do you affect something far away, a lot, without anyone noticing?

    (Note: you can safely skip sections. It is also safe to skip the essay entirely, or to read the whole thing backwards if you like.)
    Source:
    https://www.lesswrong.com/posts/R3eDrDoX8LisKgGZe/sum-threshold-attacks
    Narrated for LessWrong by Perrin Walker.
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    "Will no one rid me of this turbulent pest?" by Metacelsus Oct 17, 2023
    Show notes

    Last year, I wrote about the promise of gene drives to wipe out mosquito species and end malaria.
    In the time since my previous writing, gene drives have still not been used in the wild, and over 600,000 people have died of malaria. Although there are promising new developments such as malaria vaccines, there have also been some pretty bad setbacks (such as mosquitoes and parasites developing resistance to commonly used chemicals), and malaria deaths have increased slightly from a few years ago. Recent news coverage[1] has highlighted that the fight against malaria has stalled, and even reversed in some areas. Clearly, scientists and public health workers are trying hard with the tools they have, but this effort is not enough.

    Gene drives have the potential to end malaria. However, this potential will remain unrealized unless they are deployed – and every day we wait, more than 1,600 people (mostly African children) die. But who should deploy them?
    Source:
    https://www.lesswrong.com/posts/gjs3q83hA4giubaAw/will-no-one-rid-me-of-this-turbulent-pest
    Narrated for LessWrong by TYPE III AUDIO.
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    [HUMAN VOICE] "Inside Views, Impostor Syndrome, and the Great LARP" by John Wentworth Oct 14, 2023
    Show notes

    Patreon to support human narration. (Narrations will remain freely available on this feed, but you can optionally support them if you'd like me to keep making them.)
    ***
    Epistemic status: model which I find sometimes useful, and which emphasizes some true things about many parts of the world which common alternative models overlook. Probably not correct in full generality.

    Consider Yoshua Bengio, one of the people who won a Turing Award for deep learning research. Looking at his work, he clearly “knows what he’s doing”. He doesn’t know what the answers will be in advance, but he has some models of what the key questions are, what the key barriers are, and at least some hand-wavy pseudo-models of how things work.

    For instance, Bengio et al’s “Unitary Evolution Recurrent Neural Networks”. This is the sort of thing which one naturally ends up investigating, when thinking about how to better avoid gradient explosion/death in e.g. recurrent nets, while using fewer parameters. And it’s not the sort of thing which one easily stumbles across by trying random ideas for nets without some reason to focus on gradient explosion/death (or related instability problems) in particular. The work implies a model of key questions/barriers; it isn’t just shooting in the dark.
    Source:
    https://www.lesswrong.com/posts/nt8PmADqKMaZLZGTC/inside-views-impostor-syndrome-and-the-great-larp
    Narrated for LessWrong by Perrin Walker.
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    "RSPs are pauses done right" by evhub Oct 14, 2023
    Show notes

    COI: I am a research scientist at Anthropic, where I work on model organisms of misalignment; I was also involved in the drafting process for Anthropic’s RSP. Prior to joining Anthropic, I was a Research Fellow at MIRI for three years.

    Thanks to Kate Woolverton, Carson Denison, and Nicholas Schiefer for useful feedback on this post.

    Recently, there’s been a lot of discussion and advocacy around AI pauses—which, to be clear, I think is great: pause advocacy pushes in the right direction and works to build a good base of public support for x-risk-relevant regulation. Unfortunately, at least in its current form, pause advocacy seems to lack any sort of coherent policy position. Furthermore, what’s especially unfortunate about pause advocacy’s nebulousness—at least in my view—is that there is a very concrete policy proposal out there right now that I think is basically necessary as a first step here, which is the enactment of good Responsible Scaling Policies (RSPs). And RSPs could very much live or die right now based on public support.
    Source:
    https://www.lesswrong.com/posts/mcnWZBnbeDz7KKtjJ/rsps-are-pauses-done-right
    Narrated for LessWrong by TYPE III AUDIO.
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