Our @Nature paper on #AI + #Science gives a comprehensive overview of current progress and things to come
RESEARCH
-
Nature Paper Reviews AI Progress and Future in Science
By
–
Our @Nature paper on #AI + #Science gives a comprehensive overview of current progress and things to come
-

AI Integration Reduces Human Trust and Coordination Efforts
By
–
"The introduction of automated players leads to a sharp increase in coordination failures between humans and AI, particularly in the short-term." Humans partnered with AI reported 1.44 std deviation lower trust & 0.81 SD lower effort. Implementing AI is not just a tech
-

Mustafa Suleyman’s The Coming Wave Book Pre-Order
By
–
really grateful to @Nouriel for many great discussions and wise counsel over the years… and thank you for your support of The Coming Wave! pre-order the book now: http://
the-coming-wave.com -
GRIMES_V1 Voice Model Training and Fine-tuning Techniques
By
–
Does anyone know anything about how @GRIMES_V1 was trained? It's much better at replicating her voice than you typically see with fine-tuned models imo
-
Floating Rocks and Reality Particle Alignment Possibilities
By
–
you're telling me rocks can float if you align the particles that govern reality in just the right way? imagine the depths we have yet to traverse
-

AutoRobotics-Zero Discovers Adaptive Robot Control Policies
By
–
10/ AutoRobotics-Zero – discovers zero-shot adaptable policies from scratch that enable adaptive behaviors necessary for sudden environmental changes; as an example, the authors demonstrate the automatic discovery of Python code for controlling a robot.
-

LLM Self-Check: Zero-Shot Verification for Complex Reasoning
By
–
8/ Self-Check – explores whether LLMs can perform self-checks which is required for complex tasks that depend on non-linear thinking and multi-step reasoning; it proposes a zero-shot verification scheme to recognize errors without external resources.
-

Agent Learns Multimodal World Model with Language Predictions
By
–
9/ Agents Model the World with Language – presents an agent that learns a multimodal world model that predicts future text and image representations; it learns to predict future language, video, and rewards.
-
OpenFlamingo: Open-Source Vision-Language Models Family Released
By
–
6/ OpenFlamingo – introduces a family of autoregressive vision-language models ranging from 3B to 9B parameters; the technical report describes the models, training data, and evaluation suite.
