CARLIN transforms AI humor into a sophisticated, multi-stage creative process that mirrors how human comedians develop their material

Play is a powerful framework to develop smarter AI with advanced reasoning skills that can see the world around us, as we do.

The ability to acknowledge uncertainty fosters intellectual honesty, promotes learning, and helps prevent the spread of misinformation

Google’s NotebookLM Audio Overview feature is a fun and practical leap in making content more accessible, engaging, and easily repurposed.

we introduce a literal version of the Frame of Babel: a real-time, self-contained system that creates random, ephemeral, and untitled images

podcast discussing how F'inn is using AI

Podcast discussion of LoRA

experimenting with Google's NotebookLM

Release of the o1 model series is the best attempt to mimic our System 2 thinking to date, allowing the potential for advanced reasoning

At F'inn curiosity is a strategic advantage.

We can train LoRAs with minimal computation while preserving their capabilities, allowing us to customize these models for nearly any task

The synthetic respondents, compared to data from humans are identical. QuantifAI reduces the need for extensive data collection of humans.

it will be used to take the place of the labor-intensive repetitive tasks that lead to large legal bills

Both blend reality with fantasy creating new visions. Similarities should make us reconsider our understanding of imagination and creativity

Mamba, a state space language model (SSLM), can process long sequences with linear time and memory complexity for much larger context sizes

If we frame AI models as “grown” vs. “designed”, we can see the complex, iterative, and unpredictable nature of their development and usage

Llama allows developers to build and fine-tune model for coding, summarization or role-play, creating surges in natural language processing

Pursuing System 2 capabilities in AI will expand practical use of AI tech and I think deepen our understanding of our own cognition

om data collection practices to potential vulnerabilities, our digital footprints are larger and more detailed than ever.

All of this exposition helps us understand why they are giving us outputs that are wrong and what we can do to help mitigate the errors.