Introducing 1kpapers.com!
I took the top 1k research papers of the last year, summarized them, and visualized them.
Fun fact: all 1,000 papers cost a total of $4 to summarize with DeepSeek V4 Flash.
Jev vs GLM 5.3 at chess!
Results:
◾ GLM 5.3 won by checkmate in 29 moves
◾ Jev: ~0.3s and <$0.0001 per move
◾ GLM 5.3: ~5.8s and ~$0.008 per move
◾ The whole game cost 24 cents
My main takeaway is that it's often useful to use each one to their strengths:
◾ Fast,
Jev + Kimi K3 for fraud detection!
TLDR: Jev classified 100 emails in 1.42 seconds, then I routed the uncertain cases to Kimi K3. The full pipeline got 96/100 correct for only ~$0.07.
Video is not sped up, check out the live run!
Here was my process:
I gave Jev 100 emails to
I used Jev to classify 1,018 AI research papers.
The result: $0.08 total cost and 256ms median end-to-end latency per paper.
The pipeline was:
1. Summarize each paper with DeepSeek V4 Flash
2. Send the title + summary + 24 possible topics to Jev
3. Use Jev to classify each