My bets on open models, mid-2026

·Interconnects··

We’re living through the period of time when we’ll learn if open models can keep up with closed labs. The obvious answer is that no, they won’t. This answer is a form of saying they won’t keep up in every area. This framing closes off a popular prediction where the open models completely catch up, as in all models saturate and open and closed models only become increasingly similar. In living through this, it’s evidently very unclear when the longer-term stable balance of capabilities will solid...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 2mo ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 2mo ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 2mo ago
Show HN: I trained a language model that thinks the capital of Japan is Paris
farisallafi · Hacker News · 9h ago
Using “underdrawings” for accurate text and numbers
samcollins · Hacker News · 2mo ago