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A new robotics startup, fresh from Y Combinator, is building humanoid robots with open-source AI. Their approach—leveraging open-source models & software—caught OpenAI's attention in a crowded field of robotics companies.

Researchers have engineered a new gene editing tool, a CRISPR-associated transposase, capable of precise and programmable gene insertion in human cells. This advancement overcomes limitations of existing methods, offering improved control and efficiency for gene therapy applications.

A $48M federal grant for Spokane’s aerospace tech hub has been blocked by Commerce Secretary Howard Lutnick, sparking regional disappointment. The funding was intended to support a major facility for advanced materials testing.

The WindRunner, the world’s largest aircraft, initially planned for transporting massive wind turbine blades, is attracting interest from the US military for potential strategic applications. The military is exploring how the plane's unique capabilities could benefit their operations.

Magnus Carlsen, the world chess champion, played a game against over 143,000 people simultaneously online. The game ended in a draw, a unique event highlighting the power of collective intelligence and online chess communities.

Anthropic is developing new versions of its Claude Sonnet and Claude Opus models, focusing on enhanced reasoning abilities. These models aim to go beyond typical responses by engaging in more deliberate and multi-step 'thinking' processes to improve accuracy and problem-solving.

Google settled with Texas for $1.375 billion over claims of unauthorized location tracking & biometric data (facial recognition) collection without user consent. This is a significant penalty for the tech giant.

New research suggests our perception of AI creativity isn't inherent to the AI itself, but depends on how much of the creative *process* we observe. This impacts AI design and how we judge creativity in general.

This article discusses the evolution of interacting with Large Language Models (LLMs), moving from simple 'prompt engineering' to a more scientific approach. It highlights the importance of incorporating human feedback to improve LLM performance and understanding.