Tom Lynch

214 posts

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Tom Lynch

Tom Lynch

@_tlynch

PhD @Cambridge_Uni, previously high-level rower

Cambridge เข้าร่วม Eylül 2021
334 กำลังติดตาม167 ผู้ติดตาม
Tom Lynch
Tom Lynch@_tlynch·
@dunkhippo33 Big parts of distribution can be autonomous too though - things like blog posts, tweets, etc
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Elizabeth Yin 💛
Elizabeth Yin 💛@dunkhippo33·
I tried Paperclip - an open source project that lets you set up an "autonomous company" with multiple AI agents. The concept is wild: you act as a board member setting vision while agents coordinate to build and run the company. More >>
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Haz Hubble
Haz Hubble@hazhubble·
OFFER: if you want to come to SF but budget is stopping you, i want to offer you FREE housing in our hacker house! we have the best views in SF, fancy chairs and monitors, 1gbps internet, and queen size beds waiting for you if you know someone who should be in SF tag them below DMs open
Haz Hubble tweet mediaHaz Hubble tweet mediaHaz Hubble tweet mediaHaz Hubble tweet media
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Tom Lynch
Tom Lynch@_tlynch·
@PI010101 Huge achievement. I wonder if anyone will get Creating convexity...
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Tom Lynch
Tom Lynch@_tlynch·
@arlanr how did you set this up? Want something similar for my saas
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Arlan
Arlan@arlanr·
Introducing Agent Auth. Human onboarding is becoming obsolete. Now any agent can sign up for Nia and get access to 15+ tools to index and search across any data, including docs, PDFs, research papers, wikis, and more.
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Tom Lynch
Tom Lynch@_tlynch·
@LocasaleLab It's easier to pump your citations with high-volume self-referential papers than to do impactful scientific work. How do you solve this though? AI peer review?
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Jason Locasale
Jason Locasale@LocasaleLab·
There is something to consider here. Metrics for scientific merit like impact factor and citation indices have already shown how easily evaluation systems can be gamed once they become targets. At the same time, the volume of science now makes some form of structured assessment unavoidable. The traditional model of relying on a small number of deeply knowledgeable scientists has eroded as those individuals are marginalized within larger institutional systems. So some kind of scoring system may be necessary. The challenge is that any metric, once adopted, will be optimized and abused. The question is how to design them in a way that resists that.
University of Austin (UATX)@uaustinorg

"I’m building a credit score for science. The same way a credit score shows you how financially trustworthy someone is, ResearchDoc AI shows you what articles, authors, and journals you can trust in academia: it's a web-extension that scores scientific research article publications. Right now, science has no automated, objective assessment for quality. And with the number of articles getting published skyrocketing, scientists desperately need a quick way to evaluate research quality. The Alpha Fellowship has made my enormous goal of reforming the scientific publication system possible. It has taught me how to leverage AI to its fullest potential (and also how not to use it), how to build from zero to one in a day, and how to go from one to infinity. The Innovation Labs at UATX have given me countless opportunities to grow as a founder. They got me a table at Capital Factory's SXSW Startup Crawl (for free!), where I made connections that transformed my company's future. I'm so grateful to both @AlphaSchoolATX and UATX for their support, without which I would not be where I am today." — Nicole Kargin, UATX sophomore

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Tom Lynch
Tom Lynch@_tlynch·
@Hesamation More time spent doing Science than writing about it. Could be a good thing
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ℏεsam
ℏεsam@Hesamation·
the state of academia right now: → a bunch of code written by AI → become papers written by AI → to be evaluated by AI → so AI can summarize them and give us the important bits
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Tom Lynch
Tom Lynch@_tlynch·
@emollick Humans need HTML and agents need .md death to PDF
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Ethan Mollick
Ethan Mollick@emollick·
The fact that every scientific paper in 2026 is still uploaded only as fully formatted PDFs to academic archive sites that often limit downloads tells you everything you need to know about how quickly the scientific system is adjusting to the potential of AI to accelerate science
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Tom Lynch
Tom Lynch@_tlynch·
@emollick dropping a tool to fix this on Thursday
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Tom Lynch
Tom Lynch@_tlynch·
@yacineMTB more time doing science and less time writing about it, its a good thing
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kache
kache@yacineMTB·
peer review is doomed AI reviewing AI written papers its over
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Tom Lynch
Tom Lynch@_tlynch·
@Faheem_uh 2026 will be the year of AI in Science the way 2025 was the year of AI in software engineering
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Faheem Ullah
Faheem Ullah@Faheem_uh·
I am ranked as the #1 voice in AI & Research in Australia. Here are my 5 predictions about AI & Research for 2026 1. The ones rejecting AI will also start using AI in research 2. AI detection tools will become even more inaccurate 3. The boundary between ethical vs unethical use of AI will become more clearer 4. Universities & journal will define more concrete policies for the use of AI 5. Methods and tools for catching unethical use of AI will be introduced I thank you all for supporting and engaging with my content. What is your one prediction for AI & research for 2026?
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Faheem Ullah
Faheem Ullah@Faheem_uh·
How to write a journal paper for publication? Your paper should have the following 9 sections. 1. Abstract 2. Introduction 3. Literature Review 4. Methodology 5. Results 6. Discussion 7. Conclusion 8. Acknowledgements 9. References
Faheem Ullah tweet media
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Tom Lynch
Tom Lynch@_tlynch·
@Faheem_uh cool concept. Is this quite similar to cursor? I'll give it a try anyway
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Faheem Ullah
Faheem Ullah@Faheem_uh·
How to create a scientific diagram in seconds? Follow these 3 simple steps. 1. Go to sciclaw.ai and log in 2. From the skills, select scientific schematics 3. Enter the requirements of your diagram. SciClaw will create a perfect diagram for you. You can download it as PNG. Try it today for FREE: sciclaw.ai
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Tom Lynch
Tom Lynch@_tlynch·
AI Slop research is a becoming a crisis. Partly because it’s an easy way to game the H-index. Peer review could fix this, but it’s not fast enough to keep up with the frontier. What’s the solution? AI peer review?
Deb Raji@rajiinio

I thought "AI for Science" was something like AlphaFold, ie. using AI to creatively address computational bottlenecks for well articulated scientific problems. Now I'm seeing more of "AI slop cosplaying as research paper", where the problems are fake, methods unverified, etc.

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kache
kache@yacineMTB·
i still haven't decided if world models are a stinky meme or if they are based and cool as heck
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Tom Andersen
Tom Andersen@TAndersen_nSCIr·
@advaitpaliwal Thanks! Looks great. I have 3000 papers in my Zotero collection. I’m looking for tools to do things like search on ideas, look for that quote I hazily remember, find other papers in my collection that are related to a question, topic or equation, etc. Any tips?
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Advait Paliwal
Advait Paliwal@advaitpaliwal·
I built Feynman, Claude Code for research. I gave it a question and it came back 30 minutes later with a cited meta analysis. It can also replicate experiments on Runpod, audit claims against code, and simulate peer review. Open source & MIT license, link below
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Tom Lynch
Tom Lynch@_tlynch·
Why are we managing agent swarms when a single "CEO agent" should be able to spin up sub-agents as required ? Testing out @Paperclip_AI and the CEO agent should be able to auto-assign tasks to the correct sub-agent clearly a big step up from Openclaw tho, props @dotta
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