Joined March 2019
- Tweets 186
- Following 568
- Followers 172
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Pinned Tweet
3 Dec 2024
Excited to see our data-to-paper framework out @NEJM_AI !
ai.nejm.org/doi/full/10.1056…
3 Dec 2024
Our data-to-paper AI is officially out!
ai.nejm.org/doi/10.1056/AIoa…
Autonomously analyzes data and writes human-verifiable papers!
Fun AI-human copiloting!
Papers are "data-chained": click-traced to the raw code.
Try it out:
github.com/Technion-Kishony-…
@TalIfargan @LostInTranscrip
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Lukas Hafner retweeted
Jun 3
Most experiments fail, and negative results rarely get published. This means LLMs are unaware of the outcomes of most experiments.
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Feb 19
With AI getting better and better: will "taste" become the "key" human skill; e.g. the sense of knowing what is "good" and/or "true"?
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Lukas Hafner retweeted
10 Sep 2025
1/ Do you have a favorite protein you wish you could dissect residue by residue? 🔬 Excited to share our platform for mutational scanning at endogenous loci in yeast (no ectopic expression needed!) doi.org/10.1101/2025.09.09.6…
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Lukas Hafner retweeted
3 Sep 2025
🌎👩🔬 For 15 years biology has accumulated petabytes (million gigabytes) of🧬DNA sequencing data🧬 from the far reaches of our planet.🦠🍄🌵
Logan now democratizes efficient access to the world’s most comprehensive genetics dataset. Free and open.
doi.org/10.1101/2024.07.30.6…
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Lukas Hafner retweeted
9 Jul 2025
How do we build AI systems that enable deeper, not just faster, science? I came across a very thought-provoking article by @nisheethvinoi on “What Counts as Discovery?”
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Lukas Hafner retweeted
21 Feb 2025
Legitmately thrilled to share our latest work, in which @fernpizza solved an experimental challenge in plasmid biology as old as the field: measuring how plasmids compete and evolve within individual cells!
21 Feb 2025
Here we show that within-cell competition is key to plasmid evolution. Link to the paper! (2/n) biorxiv.org/content/early/20…
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Lukas Hafner retweeted
20 Feb 2025
📢 First paper from my Postdoc is out. The field of stem cell-based embryo models is flourishing. These models mimic critical stages of embryo development, providing powerful tools to study processes that are tricky to dissect in natural embryos. Many approaches are being used to investigate them—what was ours? 👇
nature.com/articles/s41467-0…
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Lukas Hafner retweeted
23 Jan 2025
We’re releasing Humanity’s Last Exam, a dataset with 3,000 questions developed with hundreds of subject matter experts to capture the human frontier of knowledge and reasoning.
State-of-the-art AIs get <10% accuracy and are highly overconfident.
@ai_risk @scaleai
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Lukas Hafner retweeted
15 Jan 2025
Listen to this one to hear a debate about some of the best medical AI papers of the past few years, lots of laughter, and a rare long-form glimpse into @zakkohane’s special mentoring style.
Dr. @zakkohane discusses the evolving landscape of AI in medicine and shares insights on health care system challenges, the Human Values Project, and his perspectives on the most significant AI developments of 2024. Listen to the full episode: nejm.ai/ep26
ALT AI Grand Rounds Episode 26 Health Care at the Breaking Point: Dr. Zak Kohane Returns to NEJM AI Grand Rounds Photo of Dr. Kohane
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Original Article by @TalIfargan et al.: Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers nejm.ai/4f8JAPA
#ArtificialIntelligence
ALT Figure 1. Data-to-Paper Orchestrates Agent Interactions and Information Flow through a Multistep Research Cycle from Annotated Data to Research Paper.
ALT Figure 2. Exchange among LLM Agents Helps to Refine Research Products.
ALT Figure 3. Data-to-Paper Is Able to Autonomously Create Correct Papers for Simple Research Goals and Datasets While Human Copiloting Is Required to Ensure Accuracy in More Complex Settings.
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Lukas Hafner retweeted
6 Jan 2025
Indeed, mistakes in research are inevitable, but the key is to leverage AI to address them more effectively and expose them transparently. We should harness AI to make science more reproducible and verifiable.
6 Jan 2025
"Merely" having AI oversee study design and manuscript construction (much less than proposed in this article) would reduce errors that have led to irreproducible results and unintentionally misleading figures/tables.
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A study by @TalIfargan and colleagues demonstrates a potential for AI-driven acceleration of scientific discovery in biomedical research and beyond, while enhancing, rather than jeopardizing, traceability, transparency, and verifiability. nejm.ai/4f8JAPA
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Lukas Hafner retweeted
16 Dec 2024
Timely discussion about whether/what guidance is needed in straight-to-publication data-analysed-by-AI @NEJM_AI ai.nejm.org/doi/full/10.1056… Bonus: an Asimov story reference.
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Lukas Hafner retweeted
7 Dec 2024
people in academia are way too negative about chatGPT, LLMs, etc.. why are folks so allergic to machine learning?
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Lukas Hafner retweeted
6 Dec 2024
using the same color names, comparing different dimensionality reduction algorithms (pca, tsne and umap):
30 Apr 2024
✨How AI sees colors: a color space made from their interconnected linguistic dimensions🌈
I extracted all the words for colors from wiki and mapped their embeddings from llms to a 3D color space, making it a semantic one purely derived from languages of the hive mind. 𓉤
#aiart #llm #touchdesigner #datavisualization #dataviz #audiovisual
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Lukas Hafner retweeted
5 Dec 2024
It's so great to be knitting wire cells again, this time for a 32-cell snowflake yeast colony for @wc_ratcliff! 🦠 What a beautiful model organism that Will's lab uses to study the evolution of multicellularity. Stay tuned to see the sculpture grow! 😉 #sciart #snowflakeyeast
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5 Dec 2024
How will AI reshape the way we publish and read papers? In 30 years, will there be such a thing as "a paper"? How will academia deal with it?
5 Dec 2024
It's a safe bet that there will be a lot more capability (Science Goal/Question->AI->Data->Publication) in the same vein in the near future. Will pose interesting questions for academia and the publication-industrial-conplex immediately.
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Lukas Hafner retweeted
5 Dec 2024
🎉 Big news! Our Nucleotide Transformer foundation models for genomics were just published in @naturemethods! 🚀 So proud of this incredible team @instadeepai!
⭐Paper: go.nature.com/3OA7dWr
📕Research briefing: go.nature.com/3BbSPQY
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Lukas Hafner retweeted
4 Dec 2024
AI to drive to research goals from data to publication? A glimpse of which fraction of biomedical research? @NEJM_AI ai.nejm.org/doi/10.1056/AIoa…
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Lukas Hafner retweeted
4 Dec 2024
Agree with this and it’s not so different from the folks who complain AI will break something in science or the practice of it (usually something that’s already deeply broken or aggressively suboptimal)
3 Dec 2024
The people freaking out about AI "destroying education" are telling on themselves. They're so indoctrinated by our Industrial Revolution-era factory model of education that they can't imagine alternatives. But every major technology - from books to electricity to the internet - has transformed how humans learn.
If AI can do your homework, maybe homework isn't how we should measure learning anymore. The goal of education is to create lasting cognitive change - literally rewiring neural pathways as we master reading, writing, and analytical thinking. Our current system of standardized assignments and generic grading is just one deeply flawed path to that destination.
When someone says "AI is great for learning but will destroy education," what they're really admitting is that our education system is broken and desperately needs disruption. The fact that so many educators can't envision alternatives proves how effectively this system has educated the creativity and vision right out of us. Time to break free.
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