Curious to hear what others in AI think about this. 🤔

I was reading the research paper “Attention Is All You Need” (2017), and it got me thinking about something. If an LLM learns from data and predicts the next token, does it actually understand what it's saying, or is it just really good at recognizing patterns?

Read the full story at r/deeplearning ↗

Timeline · 1 report

2026-10-11 15:51 · r/deeplearning
Curious to hear what others in AI think about this. 🤔

More stories

An Anthropic AI model sent a false homicide tip to Philadelphia police — TechCrunch AI
Microsoft's Nadella says AI needs an ‘emergency brake’ that humans control — CNBC Technology
Qwen Image 2.1 Turbo Released -- Hugging Face — r/StableDiffusion
Microsoft unveils Microsoft-Decision-1, a fast decision-scoring model trained on Qwen3.5-9B, and says it will soon rebase it on MAI, OpenAI, and other models — Techmeme
Daily Driving Qwen 3.8 Flash-Next MoE (NVFP4) on RTX 5090 + 128GB RAM — Telemetry & Impressions — r/LocalLLM
Nvidia in talks to acquire US ‘open’ model start-up Reflection AI — Financial Times AI
How Oracle Uses Codex to Help Business Users Get Answers — OpenAI YouTube
Anthropic can't reliably control its AI agents. It's cutting off its internal evals from the live internet instead — TechCrunch AI

Get the daily brief of stories like this at 6:30 every morning →