How Recursion is leading a new era of AI-driven drug discovery AI drug discovery is not a new phenomenon – but it is evolving at an almost dizzying pace. Recursion is one of the earliest innovators in ...

In the last issue we traced the return of recurrence, through both model architectures and the harnesses built around them. The recursive reasoning models driving it do not win the way the transformer ...

Frankly speaking, this is not your own problem, but I sense an intentional direction in your design regarding self-referential discourse that is separate from logic. This is not a criticism at all.

Richard Socher's new $650 million startup wants to build an AI that can research and improve itself indefinitely — and he insists it will actually ship products.

Told a certain way, the life of Kimberly Noel Kardashian maps neatly onto the entire history of media in the new millennium. In her teen-age years, Kim’s family was part of the biggest televised ...

Good morning, everyone, and thank you so much for joining us. I want to start by briefly framing where Recursion is today and its journey and evolution. Over the past decade, Recursion has built ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

RLM enables LLMs to process arbitrarily long contexts by treating them as an external environment that can be programmatically explored via a JavaScript REPL. Instead of feeding entire long documents ...

This is a docker compose setup which starts a Pi-hole and nlnetlab's Unbound as upstream recursive DNS using official (or ready-to-use) images. The main idea here is to add security, privacy and have ...

In the fast-evolving world of software development, understanding code quickly and accurately is a vital skill — especially as projects grow in complexity or when onboarding new team members.

This important computational study provides new insights into how neural dynamics may lead to time-evolving behavioral errors as observed in certain working-memory tasks. By combining ideas from ...