~/talk

Here's why people are not happy with DeepSeek

on YouTube 06m
Talkat MLDS 2025 · 2025-02-05..02-07· [machine-learning, large-language-models]

speaker

name:Rohit Thakur
links:none on file

resources

video:https://youtu.be/oao1BaOLlZI
slides:none on file

summary

Claims that DeepSeek R1 faces adoption roadblocks because it's China-based and users fear government interception, with at least one country (Italy) reportedly banning its use; U.S. startups rapidly spin up alternatives after DeepSeek's paper; OpenAI O3 mini targets lower price points and tries to match DeepSeek on cost; these reasoning models already work for report generation and as LLM “judges,” but latency and first‑generation brittleness remain and accuracy is expected to improve over time.

AI-written summary · about

chapters (6)

  1. 0:00Introduction to MLDS 2025
  2. 0:24Reasoning models landscape
  3. 1:33Challenges with Chinese models
  4. 2:51Capabilities of O3 and R1
  5. 4:25Future of AI reasoning
  6. 5:07Reflections on MLDS 2025

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