@gabriel1: words are extremely oversimplified pointers to the concepts we think about if we can give raw intentions directly to ll…
Summary
A tweet suggests that communicating raw intentions directly to LLMs via brain implants could drastically reduce time spent talking, with Elon Musk hinting at a Neuralink attempt later this year.
View Cached Full Text
Cached at: 06/24/26, 04:03 PM
words are extremely oversimplified pointers to the concepts we think about
if we can give raw intentions directly to llms we can spend 90% less time talking to them
kinda not nice you’d need a brain implant to be productive though, even if it’s cool af
Elon Musk (@elonmusk): Maybe first attempt at this for Neuralink later this year
Similar Articles
What would optimal use of LLMs even look like?
Explores the speculative idea of optimizing human interaction with LLMs by conforming to their native communication patterns, such as using neuralese, rather than forcing them to adapt to human language.
@elonmusk: Neuralink helping those who have lost their mind to body connection
Neuralink is exploring how clinical trial participants can control a powered wheelchair using their mind, detailing the process in a thread.
Words Are a Byproduct of Consciousness. For LLMs, It's Backwards
The article argues that human language originates from pre-existing conscious ideas, whereas LLMs generate words without underlying concepts, suggesting a fundamental reversal that has implications for the future of AI.
@Tesla: The brain vs the body
Tesla tweets about the relationship between AI software ('brain') and hardware/robotics ('body'), hinting at ongoing developments.
@CamilleRoux: Une explication bien faite du fonctionnement interne des LLMs : tokens, embeddings, positional encoding, attention, fee…
This tweet shares a well-made explanation of the internal workings of LLMs, covering tokens, embeddings, positional encoding, attention, and feed-forward networks, via a blog post by 0xkato.