Improving Enlist Performance in Dyalog 16.0
Enlist (∊) is twice as fast in Dyalog 16.0 as it was in Dyalog 15.0. Pretty much across the board: ∊⍳100 is not going to be any faster, but whenever the argument is a nested array and the simple…
Read the full articleYou might also wanna read
We Ran DeepSWE at 1M Context vs 262K. The Results Surprised Us.
Real-world A/B benchmark running DeepSWE tasks on DeepSeek V4 Flash at 1M vs 262K context. The 1M run was 3x faster but produced identical r
GitHub's Performance Improvements for Pull Request Diff Rendering
The path to better performance is often found in simplicity.
GitHub·3mo ago
Python Is Only Slow If You are Still Using It The Way You Learned In 2018
The bottleneck isn’t the language. it’s your legacy. I used to be the first person to complain about Python’s speed. Whenever a script took
Bun v1.0.15
Fixes 23 bugs (addressing 117 👍 reactions), `tsc` starts 2x faster, prettier 40% faster. Stable `WebSocket` client, syntax-highlighted erro
DeepSeek V3.2: Efficiency Meets Innovation in ARC-AGI-1 Challenge
DeepSeek V3.2, with its novel pipeline approach, drastically improves ARC-AGI-1 task performance without fine-tuning, achieving a significan
Original post on rollenspiel.social
Let’s assume that LLMs actually speed up #programming and that the #EU cannot catch up to #AI coding tools from the US. If this is true, wha
Comments
Sign in to join the conversation.
No comments yet. Be the first.