Can You Out Tweet an AI?
Compete against an AI to see who can craft the best tweets
Can You Out Tweet an AI? launched on August 25, 2023 with 113 votes, #583 of 4,347 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Go head-to-head against an AI to see who's better at writing tweets. A machine learning model trained on 47k tweets predicts the number of likes. Play the mini-game to show us what you got - may the superior intelligence win!
Are you one of those humans who are not worried about AI taking your job but will be royally pissed if an AI becomes sassier than you? Then this app is for you! Go head-to-head with an AI to see who's better at crafting delicious tweets.
Human, here’s your prompt: you are a Social Media Manager at a web-3 meta factory. Your company has a follower base of 1000. Your boss wants to know if you are worth your salt or if they should replace you with a cheap AI. Your task is to write an emoji-less tweet about AI that gets more likes than a tweet about AI composed by an AI. An AI trained on a corpus of 47k tweets about AI predicts the number of likes. There are three rounds - may the best intelligencefrom sitenote.ai
Does a similar job
all alternatives →


TweetRadar2023 · moviequotes.uk.com · ▲237Maximize your Twitter impact - schedule, create and explore


More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art

FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Product Hunt launch ↗
Launched alongside, August 2023
the whole month →
Resend▲1,325An entire collection of pre-built components with a much faster development experience.
Dev tools · 2023 · resend.com



Lottielab▲869Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com

Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com