Logan Riggs

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Winning the power to lose — LessWrong

1 month ago | lesswrong.com | Katja Grace |Adam Kaufman |Knight Lee |Logan Riggs

I'm very skeptical that a one-year pause would meaningfully reduce this 4% risk. This skepticism arises partly because I doubt much productive safety research would actually happen during such a pause. In my view, effective safety research depends heavily on an active feedback loop between technological development and broader real-world applications and integration, and pausing the technology would essentially interrupt this feedback loop.
Veo-2 Can Produce Realistic Ads — LessWrong

Jan 21, 2025 | lesswrong.com | Logan Riggs

Veo-2 is google's latest video-generation model. Released Dec 16th, it's quite impressive! Of course, there are still limitations (available in that previous link), especially w/ more complex movements (e.g. skateboarder & ballerina) and consistency. Then we have this, very realistic ad created by one person in ~3 weeks. Most people would not be able to tell this is AI-generated (maybe 1/100k people could tell unprompted?). It is still human-edited and uses human voices.
[Exercise] Two Examples of Noticing Confusion — LessWrong

Jan 18, 2025 | lesswrong.com | Logan Riggs

Confusion is a felt sense; a bodily sensation you can pay attention to and notice! So here's my question for you: Think About Things by Daði Frey Youtube Link, Spotify Link Full Lyrics: Baby I can't wait to know Believe me I'll always be there so Though I know I love you I find it hard to see how you feel about me 'Cause I don't understand you Oh you are yet to learn how to speak When we first met I will never forget 'Cause even though I didn't know you yet We were bound together then and...
How do you deal w/ Super Stimuli? — LessWrong

Jan 14, 2025 | lesswrong.com | Logan Riggs

I remember watching Youtube videos and thinking "This is the last video, I will quit after this". However, as soon as the video ends, my preferences would suddenly change to wanting to do one more! Many of us understand this false dichotomy:Quit mid-way through the videoQuit after the video ends at 3 am So I would (sometimes) stop binging videos, but only if I quit mid-way through. Then short-form videos wrecked me.
Logan Riggs's Shortform — LessWrong

Dec 4, 2024 | lesswrong.com | Logan Riggs

This is a special post for quick takes by. Only they can create top-level comments. Comments here also appear on the Quick Takes page and All Posts page
2024 Petrov Day Retrospective — LessWrong

Sep 28, 2024 | lesswrong.com | Raymond Arnold |Ben Pace |Thomas Kwa |Logan Riggs

One year ago, many people on LessWrong received a DM asking them to choose the most important virtue of Petrov Day, with four listed options that we'd seen people argue for in previous years.
Was Releasing Claude-3 Net-Negative? — LessWrong

Mar 27, 2024 | lesswrong.com | Logan Riggs

Cross-posted to EA forumThere’s been a lot of discussion among safety-concerned people about whether it was bad for Anthropic to release Claude-3. I felt like I didn’t have a great picture of all the considerations here, and I felt that people were conflating many different types of arguments for why it might be bad. So I decided to try to write down an at-least-slightly-self-contained description of my overall views and reasoning here.
Sparse Autoencoders Find Highly Interpretable Directions in Language Models — LessWrong

Sep 21, 2023 | lesswrong.com | Logan Riggs |Aidan Ewart |Scott Emmons |Charlie Steiner

This is a linkpost for Sparse Autoencoders Find Highly Interpretable Directions in Language ModelsWe use a scalable and unsupervised method called Sparse Autoencoders to find interpretable, monosemantic features in real LLMs (Pythia-70M/410M) for both residual stream and MLPs. We showcase monosemantic features, feature replacement for Indirect Object Identification (IOI), and use OpenAI's automatic interpretation protocol to demonstrate a significant improvement in interpretability.
Reducing sycophancy and improving honesty via activation steering — LessWrong

Jul 28, 2023 | lesswrong.com | Nina Rimsky |Ethan Perez |Sam Bowman |Logan Riggs

Produced as part of the SERI ML Alignment Theory Scholars Program - Summer 2023 Cohort, under the mentorship of Evan Hubinger. I generate an activation steering vector using Anthropic's sycophancy dataset and then find that this can be used to increase or reduce performance on TruthfulQA, indicating a common direction between sycophancy on questions of opinion and untruthfulness on questions relating to common misconceptions.