The State Of LLMs 2025: Progress, Problems, and Predictions
Read OriginalThis article provides a comprehensive analysis of the state of Large Language Models (LLMs) in 2025. It reviews key advancements like reasoning models (e.g., DeepSeek R1), architectural shifts, inference scaling, and tool use. It discusses trends such as 'benchmaxxing' and the impact of AI on coding and research, while also addressing persistent limitations and offering predictions for 2026's AI landscape.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Quoting Thariq Shihipar
Simon Willison
•
2 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
3
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
4
Top picks — 2026 January
Paweł Grzybek
•
1 votes
5
In Praise of –dry-run
Henrik Warne
•
1 votes
6
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
7
Vibe coding your first iOS app
William Denniss
•
1 votes
8
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes