Banger paper on self-evolving ontologies for agents.
This is a dev post classified by Jev as AI dev tools (a free resource), kept by the Dev Radar because it carries real work, not commentary.
Banger paper on self-evolving ontologies for agents. You just can't go wrong with implementing an ontology layer for your agents. This paper shows exactly why. The show that GPT-5.5 gains 26.7 points on DDR-Bench when the data agent can query an ontology of the data it works with. Why is this useful? Data agents normally see tables, files and databases through generic tools, reading column names and file paths one call at a time. The alternative is a hand-written semantic layer pasted into the prompt, which does not scale to many sources. EvoOntology builds the ontology with a dedicated
Posted by elvis (320.7k followers) 14 h ago · 741 likes · 46.3k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: academy.dair.ai.
More dev work like this
- The Dot platform has processed 6.18B tokens this week, representing 34.33% of our… — @usedotai
- What is Jev, the tool buzzing across Silicon Valley lately? — @hayden090807
- PSA - Claude code: Turn off the prompt suggestions, save ~10% of your limits/spend — @akshdeeps_001
- 智谱 GLM Coding Plan 开启中秋加国庆双节畅享活动。 — @0xLogicrw
- 😱 什么?!仅 0.6B 本地开源决策模型在 Typed Decisions 上压过 Laya ! — @NFT_Chen
- Runs the 2.78-trillion-parameter Kimi K3 model on a single CPU using 8 GB of RAM without… — @tom_doerr
- CLAUDE.md 里写了一堆规则,Claude Code 照样有一半当没看见,这事很多人都碰到过。 — @GitHub_Daily
- 🤯卧槽!开源圈又杀出个比 Laya 更狠的 System-1 决策核模型 AgentJev-0.6B ! — @NFT_Chen
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 20.7k posts from 4.9k X accounts over the last 21 days, 2.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-22 08:21 UTC. Full method.