alphaXiv@askalphaxiv
open on x ↗Introducing MCP for arXiv Let your research agents stand on the shoulders of giants Fast multi-turn retrieval, keyword search, and embedding search tools across millions of arXiv papers 🚀
related
I took the @karpathy autoresearch loop and pointed it at markets.
25 AI agents debate macro, rates, commodities, sectors, and single stocks daily. Every recommendation scored against real outcomes. Worst agent by rolling Sharpe gets its prompt rewritten by the system. Keep or revert. Same loop, prompts are the weights, Sharpe is the loss function.
Trained the agents on 18 months of market data. 378 iterations. 54 prompt modifications, 16 survived.
The system learned which agents to trust using Darwinian weights — geopolitical, commodities, and the @BillAckman quality compounder rose to the top.
The agents even figured out their own portfolio manager was the weakest link before we did!
Deployed the trained agents. +22% in 173 days. Best pick: AVGO at $152, held for +128%.
The final prompts are evolutionary products — shaped by market feedback, not human intuition. Now running live with my own capital.
https://github.com/chrisworsey55/atlas-gic
Part hedge fund, part research experiment :)@Chris_Worseybig thanks to all the supporters
of my wiggle bones library
https://wiggle.three.tools/
it is being put to great use@KMkota0
@interjc
@dhruvtwt_I've tried all ( 74 😵💫 ) AI Coding Agents & IDEs
[Rork, CodeRabbit, Anima, Zed, Factory, Cursor, Windsurf, Copilot, Lovable, Bolt, v0, Replit, MarsX, Canva, Devin, Github Spark, Vercel, Lindy, Warp, Figma, Cline, Vibe Coder & more]
The most complete list ever made (with demos & notes):@johnrushx
▶@arlanoska
▶@abouelatta_ali
@every
▶@hyperbrowser
@techNmak
@interjc@dhruvtwt_I've tried all ( 74 😵💫 ) AI Coding Agents & IDEs
[Rork, CodeRabbit, Anima, Zed, Factory, Cursor, Windsurf, Copilot, Lovable, Bolt, v0, Replit, MarsX, Canva, Devin, Github Spark, Vercel, Lindy, Warp, Figma, Cline, Vibe Coder & more]
The most complete list ever made (with demos & notes):@johnrushx▶@arlanoska▶@abouelatta_ali@every▶@hyperbrowser@techNmakTechniques I'd master if building RAG systems that actually work:
Bookmark this.
1. Sliding Window Chunking
2. Semantic Chunking
3. Document Hierarchies
4. Metadata Enrichment
5. Query Expansion
6. Hybrid Search
7. Reranking Models
8. Context Window Packing
9. Lost in the Middle Problem
10. Hypothetical Document Embeddings (HyDE)
11. Multi-Query Retrieval
12. Contextual Compression
13. Sentence Window Retrieval
14. Auto-Merging Retrieval
15. Cross-Encoder Rescoring
16. Temporal Context Decay
17. Negative Sampling
18. MMR (Maximal Marginal Relevance)
19. Graph-Based Retrieval
20. Recursive Retrieval
21. Citation Trackingchunks
22. Context Ablation Testing
23. Adaptive Retrieval@athleticKoderAnnouncing Paper Desktop + MCP
Now any agent can read or write with Paper
Paper is connected. To your code. To your agents. To your data. To your teammates.
Download Paper Desktop at http://paper.design@paper
@Zai_org
▶@argofowl≡ 2@uAghazadae @Zai_org should work perfectly with http://eve.dev / http://ai-sdk.dev@rauchg
@affaan
@realmcore_
@PrajwalTomar_
@amilabs
@Dr_Singularity
@Zai_org▶@argofowl≡ 2@uAghazadae @Zai_org should work perfectly with http://eve.dev / http://ai-sdk.dev@rauchg@affaan@realmcore_@PrajwalTomar_@amilabs@Dr_Singularity
▶@_avichawla
▶@coderabbitai
▶@javiiarchive
▶@samhogan
@rohanpaul_ai
▶@prathamgrv
@bbssppllvvTo keep analyzing pdfs, some tools are qpdf, pdfalyzer, strings.
If you just want to get text out of PDFs, check out marker - https://github.com/datalab-to/marker .
I'm also interested in any weird edge cases anyone else has found - let me know!@VikParuchuri
▶@thdxr
@tom_doerr