@huggingface That's great 👍

@huggingface Ehm, the abstract is *already* a summary.

@huggingface does it see the full paper or just the abstract?

@huggingface one omitted limitation can make an abstract summary sound far more certain

@huggingface This could really streamline research summaries!

@huggingface the friction between abstract and insight is real, nice one

@huggingface Such an interesting concept! Message me so we can discuss working together 💬

@huggingface Open weights making research summaries easier is a real plus.

@huggingface A useful abstract summary should preserve the study setting and its main limitation. Linking each takeaway back to the source sentence would make it much easier to check whether compression changed the claim.

@huggingface inkling-small is great for that but open weights alone dont make summaries useful without good prompting

@huggingface This is where harness engineering gets really interesting: the harness stops being static scaffolding and starts learning from its own failure surface.

The model improves globally. The harness can improve locally, against the exact environment it has to survive in.

@huggingfacenkling-Small to transform paper abstracts into concise summaries aligns well with the current trend of using efficient, open-weights models for specialized reasoning tasks. The balance between open science and practical utility is becoming increasingly vital for widespread accessibility. How is the model performing specifically regarding the technical nuances of complex academic terminology?

@huggingface Open weights plus practical paper triage is a powerful combination for research workflows.

@huggingface prompt got worse somehow

@huggingface Inkling Small is a great example of AI serving researchers instead of replacing their judgment. Fast summaries are useful when the open weights let people verify and extend the work.

@huggingface 把论文结论快速变成可读摘要，对开放科学很实用。但自动摘要最好保留原文出处和不确定性，不然读者会把压缩后的判断当成完整结论。

@huggingface Inkling-Small on abstracts is a good test. What is the hallucination rate on method details versus the original PDF?

@huggingface paper abstracts finally becoming usable fr

@huggingface Open weights + open science is exactly the kind of combo we need.

@huggingface 开源模型的价值不只在权重能下载，周边的 tokenizer、量化配置和推理脚本同样决定能不能复现。要是这些版本信息能跟模型卡一起锁住，社区少踩很多“同名不同结果”的坑。

@huggingface Deleted half my prompt

@huggingface Great use case. Efficient open‑weight summarizers like Inkling‑Small make scientific literature far more accessible at scale. Covering this today on M5B.

@huggingface It is really helpful to have complex research summarized so clearly.

@huggingface So good works.😀

@huggingface AirTags are one of Apple's most underrated products.

@huggingface Using specialized open-weight models to parse academic literature on demand is such a practical showcase for open science tooling.

@huggingface This is where open models get really interesting. 🧠📄

Millions of research papers, most of them written for 12 people on Earth to understand.

Now turn that knowledge into something the other 8 billion can actually use. 🤝

#OpenScience #AI #OpenSource

@huggingface Open-weight summarization is useful.
The harder problem is still knowing which model/agent produced the output and whether it can be held accountable.

@huggingface abstracts becoming actually usable is a better demo than another benchmark chart

@huggingface If i preorder now, would it ship to canada？ Also does the robot run on armbian linux or blackberry qnx

@huggingface Hi @huggingface, I’m experiencing an issue logging into Spaces (e.g. Arena Leaderboard) on Chrome. The modal says "Signed in successfully!", but the UI stays logged out. I've already enabled 3rd-party cookies & cleared cache, but no luck. Any fix for this iframe auth sync bug?

@huggingface Open weights make this kind of workflow especially useful: researchers can inspect the summarization behavior, adapt it to their corpus, and measure where compression loses important scientific nuance.

@huggingface Inkling-Small로 논문 초록을 빠르게 정리해 연구의 첫 진입장벽을 낮추는 접근이 좋네요. 오픈 웨이트와 오픈 사이언스의 만남이 인상적입니다!

@huggingface Useful summaries are a great entry point. I’m curious how well it holds up when the abstract leaves out the caveats that matter most.