π From instruction-following to creative storytelling, dive into 2024's most impactful AI datasets! These gems are shaping everything from scientific research to video understanding.
Did a fun experiment: What are the main themes emerging from the 100+ Nieman Journalism Lab predictions for 2025?
I used natural language processing to cluster and map them β really helps spot patterns that weren't obvious when reading predictions one by one. So what will shape journalism next year? A lot of AI and US politics (surprise!), but there's also this horizontal axis that spans from industry strategies to deep reflections on how to talk to the public.
Click any dot to explore the original prediction. What themes surprise/interest you the most?
ππ Just dropped: visualization mapping Hugging Face's most liked & downloaded models from 2022 to now. Small models are clearly on the rise - fascinating shift in both likes and download patterns.
Keeping up with open-source AI in 2024 = overwhelming.
Here's help: We're launching our Year in Review on what actually matters, starting today!
Fresh content dropping daily until year end. Come along for the ride - first piece out now with @clem's predictions for 2025.
Think of it as your end-of-year AI chocolate calendar.
Kudos to @BrigitteTousi@clefourrier@Wauplin@thomwolf for making it happen. We teamed up with aiworld.eu for awesome visualizations to make this digestibleβit's a charm to work with their team.
Want the best of both worlds? Iβm refining my test by combining a deep dive (today: Muskβs xAI rivalry) with shorter links to other news of the day (AI agent funding, healthcare improvements, and more!) in my daily newsletter. Let me know what you think.
The rapid progress in small audio models is mind-blowing! π€― Just tested OuteTTS v0.2 - cloned my voice from a 10s clip with impressive accuracy and natural prosody.
At 500M parameters, it's efficient enough to run on basic hardware but powerful enough for professional use.
This could transform how we produce audio content for new - think instant translated interviews keeping original voices, or scaled audio article production!
π€ 93% of Gen Z workers use AI tools weekly, but nearly half of all workers aren't comfortable admitting it. The tech adoption gap isn't about usageβit's about openness. Why are we still treating AI tools like a workplace secret? π€