Are LLMs not getting better?

๐Ÿš€ Large Language Models (LLMs) are stagnating in terms of performance improvement, with recent benchmarks showing little to no progress, which raises concerns about their potential to deliver practical value in real-world applications, such as enhanced language understanding and generation capabilities. This stagnation affects their ability to accurately process and respond to complex queries, ultimately impacting their usefulness in industries like customer service and content creation.

guid

https://news.ycombinator.com/item?id=47349334

source_url

https://entropicthoughts.com/no-swe-bench-improvement

author_name

4diii

id: 696
uid: TwoWd
insdate: 2026-03-12 13:05:10
title: Are LLMs not getting better?
additional: ๐Ÿš€ Large Language Models (LLMs) are stagnating in terms of performance improvement, with recent benchmarks showing little to no progress, which raises concerns about their potential to deliver practical value in real-world applications, such as enhanced language understanding and generation capabilities. This stagnation affects their ability to accurately process and respond to complex queries, ultimately impacting their usefulness in industries like customer service and content creation.
category: Hacker News
md5:
guid: https://news.ycombinator.com/item?id=47349334
source_url: https://entropicthoughts.com/no-swe-bench-improvement
updated:
image:
author_name: 4diii
author_link:

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## ๐Ÿš€ AI Giants Hit Bullseye: Anthropic & OpenAI Achieve Product-Market Fit Anthropic and OpenAI have reached a significant milestone, finding product-market fit with their AI technologies, which means their products effectively meet the needs of their customers, driving growth and adoption. This achievement showcases the practical value of their innovations, enabling businesses and individuals to leverage AI for enhanced productivity and efficiency. With this alignment of product and market needs, these companies are poised to transform industries and shape the future of technology.