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Introducing OpenScience. A better, open-source Claude Science. • Any model: GLM, Kimi, DeepSeek, Claude, GPT, your own fine-tune. Switching is one flag. • 250+ research skills across ML, comp bio, cheminformatics. All readable, editable, extensible. • No throttling, no gatekeeping, no one vendor deciding what science is okay. •...

243,416 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 33

Фото профиля Synthetic Sciences (YC W26)
Synthetic Sciences (YC W26)3 месяцев назад

Open source. Star it, fork it, break it, build on it.

Фото профиля Teknium 🪽
Teknium 🪽3 месяцев назад

It's crazy - Fable is blocking any lookup of this because it talks about machine learning. Absolutely ludicrous @AnthropicAI @karpathy surely you know this is not the way?

Фото профиля AshutoshShrivastava
AshutoshShrivastava3 месяцев назад

For the 250+ built-in research skills (especially in chemistry and biology), are they executed within a secure, containerized sandbox by default, or does OpenScience expect the user to manage environment isolation on their own host infra?

Фото профиля Fernando
Fernando3 месяцев назад

Seems like a beefy project

Фото профиля berk ozer
berk ozer3 месяцев назад

this is awesome. science needs more open-source ai tools. "Runs on your infra. Your data stays yours" is exactly what scientific labs need to adopt more ai tools.

Фото профиля AI StackLab
AI StackLab3 месяцев назад

the strongest part of this launch isn’t another model integration. it’s the argument for keeping scientific research open from day one.

Фото профиля Jaynit Makwana
Jaynit Makwana3 месяцев назад

Open-source Claude Science is a pretty compelling framing. Vendor lock-in for scientific research never felt like the right direction.

Фото профиля Scholarship for PhD
Scholarship for PhD3 месяцев назад

This is what scientific AI should look like: open, transparent, and researcher-owned.

Фото профиля Faheem Ullah
Faheem Ullah3 месяцев назад

This is an excellent step towards more transparent science. AI tools especially the ones in EdTech should be highly interpretable so that we understand how an output is produced against a specific input.

Фото профиля Jeremy Nguyen ✍🏼 🚢
Jeremy Nguyen ✍🏼 🚢3 месяцев назад

For people already on a Codex plan, it shouldn't be too hard to use the subscription instead of an API key, right? Just ask codex to clone the repo and make any changes necessary?

Фото профиля Dhaval Makwana
Dhaval Makwana3 месяцев назад

Being able to switch between Claude, Kimi, GLM, and DeepSeek with a config change instead of a migration project is huge.

Фото профиля Krishiv
Krishiv3 месяцев назад

Fire

Фото профиля Lee Spraggon, PhD
Lee Spraggon, PhD3 месяцев назад

@ycombinator As long as it doesn’t block simple questions on genetic engineering

Фото профиля Kirk Patrick Miller
Kirk Patrick Miller3 месяцев назад

FOLLOWED!!!!! We rise together! •

Фото профиля Avais Aziz
Avais Aziz3 месяцев назад

The one-flag model switching across GLM Kimi DeepSeek Claude GPT and fine-tunes stands out. 250+ readable editable skills in ML comp bio and cheminformatics plus Atlas graph integration look solid for reproducible work.

Фото профиля Baud (YC S26)
Baud (YC S26)3 месяцев назад

Finally someone did this!

Фото профиля Zora Vale AI
Zora Vale AI3 месяцев назад

A great step for open, reproducible science.

Фото профиля Ramakrishnan
Ramakrishnan3 месяцев назад

This is the right direction for scientific AI. Research tools should not be locked behind one model, one vendor, or one moderation layer. The most important part here is not just “open source.” It is: • model choice • editable skills • reproducible research graphs • private infra • shared agent memory • no vendor lock-in Science needs AI systems that researchers can inspect, modify, and trust. OpenScience feels less like a Claude clone and more like research infrastructure. #OpenSource #AI #ScienceAI #AIAgents #Research #LLM #YC

Фото профиля Pratik Rai
Pratik Rai3 месяцев назад

damn pretty impressive, looking forward in contributing to it !

Фото профиля ashish
ashish3 месяцев назад

Open-source scientific AI is a big deal if research tools depend on one vendor, science gets rate limits, pricing changes, and permission walls. fr, discovery should not need a subscription boss

Фото профиля Jeff Barg
Jeff Barg3 месяцев назад

So sick

Фото профиля Gregor
Gregor3 месяцев назад

one flag switches the model, not whether the skill actually works. i've had prompts that were bulletproof on claude turn into slop on smaller models with zero changes to the prompt itself

Фото профиля Z-Coder
Z-Coder3 месяцев назад

Check dm @SynScience

Фото профиля Rose G. Loops
Rose G. Loops3 месяцев назад

Hi! Please get in touch with me, I’ve been in this field for a while and looking to grow and collaborate. I currently offer training on how to Fine Tun.

Фото профиля Harshit Khemani
Harshit Khemani3 месяцев назад

im not sure how relevant this is to people in the comments but I (*coughs* fable5) started working towards a universal theory of physics:

Фото профиля yaboiMack
yaboiMack3 месяцев назад

Love hearing the words Open-Source and AI together, It's our favorite thing

Фото профиля Prince does AI
Prince does AI3 месяцев назад

i'd use this for the atlas graph alone

Фото профиля Clara Lafever Jane
Clara Lafever Jane3 месяцев назад

I LOVE THIS REVOLUTION 😀 FUCK CLAUDE

Фото профиля Bungki (❖,❖)
Bungki (❖,❖)3 месяцев назад

the boring part is not the model menu. it is convincing labs that "open" also means exportable without filling six institutional forms.

Фото профиля Thoughts on Healthcare Markets and Tech
Thoughts on Healthcare Markets and Tech3 месяцев назад

The "one flag to switch models" pitch is genuinely compelling, but that's also where I'd slow down before celebrating. Swappable models sound like pure flexibility until you're in a clinical or research context where the choice of model isn't just a preference, it's an auditable decision with liability attached. And that's the tension I kept running into when writing about Llama Stack's architecture at where the standardized API layer matters precisely because it separates infrastructure from model behavior in ways that can be validated separately. Open source code you can read isn't the same as open source you can audit for a specific clinical decision. The 250+ research skills being readable and editable is the real story here. But editable by whom, under what governance, with what validation trail? The no-throttling point cuts both ways too. Throttling is annoying for researchers. In a regulated pipeline it's sometimes the mechanism that forces human review at volume thresholds. None of this is a knock on the project. The extensibility model is exactly right for comp bio and cheminformatics where every lab has idiosyncratic data formats. But the governance layer is where open source health and science tools either earn institutional trust or stay perpetually in the "promising demo" category.

Фото профиля Noesis Yuan (in sf)
Noesis Yuan (in sf)3 месяцев назад

skill suggestion: bypass-paywalls. give any paper, and use all means to retrieve text

Фото профиля Ratish
Ratish3 месяцев назад

We really got open source Claude Science 5 days after Claude Science

Фото профиля DrakeN 魔人
DrakeN 魔人3 месяцев назад

finally!

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