CS PhD student @ BYU NLP guy Free speech advocate Retweets & Likes do not imply endorsement
Provo, UT
Joined January 2017
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If big companies have our data, can they use in conjunction with LLMs to persuade people on hot-button political issues? Our new study, published in PNAS, puts LLMs to the test persuading people on hot-button political topics. 🧵[1/6]
We tested four AI-driven persuasion strategies:
1️⃣ Generic message
2️⃣ Microtargeted message
3️⃣ Interactive direct arguments
4️⃣ Motivational interviewing
All were aimed at shifting people away from their starting views, but which worked best? 🤔 [2/6]
While AI is able to move people's attitudes towards the center, this does not increase "democratic reciprocity", a willingness to engage with people who hold opposing views. This suggests that merely changing policy opinions isn't enough.[5/6]
Bottom line: AI can shift opinions at scale, but personalization and chat didn’t add much. If you’re curious about the ability of AI to persuade-and its limits-check out our full open-access paper:
pnas.org/doi/10.1073/pnas.24… [6/6]
I just had work on Language Models for quantifying eyewitness confidence statements in Psychological Science.
You can read the news brief here:
law.upenn.edu/live/news/1650…
Or the full paper on SSRN:
papers.ssrn.com/sol3/papers.…
Alex Lyman retweeted
When I first saw this graph, the main thing that stood out to me was that Japan has the world's least spicy food.
Even Brits eat spicier food.
Readers added context they thought people might want to know
The word "spicy" may be misinterpreted to mean how "hot" the food is, while the chart only reflects on how many different spices are used in average, eg. using Vanilla, Seaweed and Dill would count higher than just Capsicum
nature.com/articles/s4156…
dictionary.cambridge.org/dictionary/eng…
Alex Lyman retweeted
>Code fails to compile under CUDA Toolkit 12.1
>Upgrades CUDA Toolkit to 12.2
>Code fails to compile earlier than before
Alex Lyman retweeted
One of our key sources of human data is no longer fully “human"!
We estimate that 33-46% of crowd workers on MTurk used large language models (LLMs) in a text production task - which may increase as ChatGPT and the like become more popular and powerful.
arxiv.org/abs/2306.07899
Alex Lyman retweeted
@pmddomingos argues that #AI regulation is misguided, and more on this podcast: spotifyanchor-web.app.link/e…
#artificialintelligence #generativeai #regulation #aiact #europe #podcast
Alex Lyman retweeted
“AI Safety” seams to be a euphemism for censorship and I don’t think big corps should be bragging about it quite so much.
Alex Lyman retweeted
I see someone on this website has come up with a specific number of training FLOPS above which a language model becomes AGI and needs to be regulated. Very glad I logged in this morning.
Had a great time shoring up my reinforcement learning with @huggingface's course. Thanks @ThomasSimonini!
