@karpathy
https://x.com/karpathy
Latest AI signals from @karpathy
DeepSignal tracks AI updates from @karpathy, filtering research and product signals into plain-English summaries, signal scores and source-linked article pages.
Current topics: Agent, LLM, X
High-signal updates
It is wild that we still ask LLMs to think in plain text — the next 10x is in the latent stream.
AI Summary
The article argues that relying on plain-text reasoning in LLMs leads to significant information loss. Future advancements in reasoning quality will likely stem from latent-space reasoning that avoids tokenization, enhancing model performance and efficiency.
Why Featured
The shift towards latent-space reasoning in LLMs represents a significant development that could enhance model performance and efficiency by reducing information loss associated with plain-text processing. Builders and PMs should consider integrating this approach to improve their AI applications, while investors should recognize its potential for creating more advanced and capable AI systems.