Transparent Lab AI @TransparentLab_
The AI for biomedical research. Transparent Lab answers from papers you uploaded. Every claim cited. Private library, not a chatbot. https://t.co/YjALbJnQol transparentlab.ai Joined April 2026-
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Two brain cells are sensing each other. And trying to connect:
There are two ways to use AI for research: 1) Ask it what it knows (and hope it's right). 2) Give it your sources and ask it to read them. Same technology. Completely different trust model.
The future of science is on our shoulders. AI-fabricated figures and the whole paper mill thing is weaponizing decades of hard work and dedication. How do we solve TRUST in science? We (the scientists, the people) must act. Let's start the debate, we need it.
An AI tool that cites sources you never selected is doing something fundamentally different from an AI tool that only cites papers you uploaded yourself. Neither is wrong. But they answer different questions.
A cell videoed through a microscope. DNA in the nucleus (cyan), mitochondria (yellow), and the actin filament cytoskeleton (magenta) are shown. #CellBiology
Most literature reviews aren't reviews of the literature. They're reviews of page one of PubMed results for whatever keyword the author tried first. We all know this. We just don't talk about it.
Early career researchers: build your personal library intentionally. Don't just save every paper you stumble across. Curate. A small collection of papers you've actually read is worth more than 500 unread PDFs.
@slavov_n Science is and should remain a continuum debate. A 'solved' stamp should at least be suspicious.
@natalienkhalil "The real problem is human slop at AI pace".
Does 'open source' really solve the problem? The challenge we're facing is really big. We're on the seek for trust in academia. I think we haven't find a solution yet. It's now the time for facing this debate. Any ideas?
⚠️All of the below images were FABRICATED by ChatGPT Images 2.0, each with a single prompt❗️ ⚠️
@AllThingsApx Does 'open source' really solve the problem? The challenge we're facing is really big. We're on the seek for trust in academia. I think we haven't find a solution yet. It's now the time for facing this debate. Any ideas?
@itchdoctor We need to find a way, yes! The future of science depends on that. I'm curious though, ho could we log our experiments in the blockchain? Is that a feasible option?
@EntropyChase @MicrobiomDigest @stevenemassey Sounds cool, but you can always get the models from huggingface, and execute them on premises. We got to get creative. Could we instead of finding a way to punish the guilty, figure out a way to reward the honest?
@SaraM90743 @MicrobiomDigest We definitively need to find alternatives to spreading our science. But the challenge is big!
@statesdj @MicrobiomDigest @bioinformer "The real risk is human slope at AI pace" since I read that quote I realize the problem has never been AI or technology. It's all about honesty.
We train #PhD students to never make a claim without a citation. Then we hand them AI tools that make claims with fabricated citations. Something doesn't add up.
Exhibition Features Gene-edited Glowing Plants in China 💡🌱🧬 🔗isaaa.org/kc/cropbiotech… #Avatar #CRISPR #bioluminescent
@seekergupta We'll always need to think to do good science. AI is capable of a lot, it even emulates reasoning, and if the context is accurate, it's impressively useful, but thinking –real– thinking, simply not. AI is a tool, we should not forget that.
"The risk in science is human slop at AI speed" Interesting perspective! popularbydesign.org/p/academics-ne…
Scientists in the room: what's the one tool you couldn't do your job without? Not the fancy one. The boring, reliable one you'd genuinely miss.
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