First screen, captured .
Looks similar
GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2(magazine.sebastianraschka.com)
450 points by ModelForge | 95 comments
Sebastian Raschka's Ahead of AI article analyzing the architecture of OpenAI's open-weight gpt-oss models, tracing changes since GPT-2 and comparing them to Qwen3.
Related stories
LLMs Aren't Inevitable(deadsimpletech.com)
27 points by rizsyed1 | 32 comments
Blog post by Iris Meredith on deadSimpleTech arguing that AI and LLM adoption is not inevitable, calling the claim a thought-terminating cliché.
Some thoughts on LLMs and software development(martinfowler.com)
378 points by floverfelt | 347 comments
Martin Fowler's blog post sharing scattered thoughts on the state of LLMs and AI and their effect on software development.
LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)
336 points by CharlesW | 121 comments
MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.
Achieving AI-style reasoning without an LLM(fleetingswallow.com)
39 points by edwardchalk | 31 comments
Blog post deep-diving into Minotaur, an AI architecture claimed to perform deduction, diagnosis and causal reasoning without a language model or GPU, with a history of prior AI approaches.
AI outperforms law professors in Stanford Law study(law.stanford.edu)
379 points by berlianta | 327 comments
Stanford Law School press release on a blind study where law professors preferred AI-generated answers to student legal questions over answers written by fellow professors.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.