Peer review can tell you if something is a sincere effort to engage with a problem and improve our understanding of the question under study. It can surface inconsistencies and suggest new avenues to pursue.
It isnβt a certification that a paper, a grant, or an idea is error-free.
06.03.2026 14:07
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This is the problem with arguing that we need peer review to determine whatβs correct.
06.03.2026 13:51
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Itβs important that we donβt allow sky-is-falling narratives about loss of trust in science and medicine to drive us into a bubble of self-fulfilling prophecy
05.03.2026 16:42
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Important to remember: a supermajority (67%) have confidence in career scientists at federal agencies
86% have confidence in their primary care provider
05.03.2026 16:32
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NIH Office of Extramural Research announcements of feedback sessions for NIH-wide strategic plan for March 16 and April 8.
IMPORTANT---IMPORTANT---IMPORTANT
NIH is seeking input for the NIH-wide Strategic Plan. Open to everyone but Registration is Required!
Your chance to listen and get your 2 or more cents in.
grants.nih.gov/news-events/...
04.03.2026 19:49
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dm me if I can help
04.03.2026 15:06
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ok Iβll bite, way out of my wheelhouse too, but an R01 is an R01, and I can flag general issues with the shape
04.03.2026 14:59
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My kids can verify. It's a running joke in our house.
04.03.2026 02:19
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Even if, most of the time you arrive at the same place everyone else did. π
04.03.2026 01:33
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I suspect itβs culture independent; I suspect itβs that humans are a social species, and Chat lights up those neural pathways. For some people more than others.
04.03.2026 01:31
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I quite like an audiobook and a podcast myself, actually .. great for doing chores or on a long run. I am admittedly a multi-tasking addict, although I probably shouldnβt be. But personally I could never uptake scientific literature that way. Not enough space for cogitation.
04.03.2026 01:21
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I think I can see something similar with Chat. Itβs slipped into that βask-down-the-hallβ niche
04.03.2026 01:18
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β¦ and itβs easier, to only look for and accept the collective wisdom of the tribe. But itβs limiting. Great discoveries imo come from seeing what the tribe missed, and you only get that by going out into the wilderness alone.
04.03.2026 01:16
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This is something I feel like Iβve seen amongst scientists pre-Chat; that desire to ask the authority figure down the hall for an Answer, rather than wrestle out an understanding from the literature on your own. Some more so than others. I get it, itβs faster..
04.03.2026 01:11
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I saw something recently (unfortunately didnβt bookmark) about how for most of human history, knowledge was transmitted orally, and hypothesizing that to some degree, humans are hardwired to have this preference. We want, maybe, to assimilate knowledge through conversation, not books.
04.03.2026 01:05
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Yes! We literally cannot shut up about our work.
03.03.2026 23:38
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This is legit why our method for detecting breakthroughs works. When a whole bunch of scientists are suddenly and simultaneously unable to shut up about the same thing, look out.
03.03.2026 19:56
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.. streamlining manufacturing, refining existing treatments, repurposing approved drugs.
Good stuff, but what if there was an LLM-independent way to direct early-stage investments to the research areas most likely to bear fruit? Right now, that's the work that occupies me.
01.03.2026 15:46
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Finally, and this is super interesting to me, there's a great discussion of the challenges associated with choosing a research direction that will produce a return on investment. My takeaway is that pharma has concentrated on making the economics of discovery work by optimizing the later steps ...
01.03.2026 15:24
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Third, Thompson's guest, Eli Lilly CEO Dave Ricks, tells us that the 2025 budget for R&D at his company was $14 billion. In comparison, the FY2025 budget for NIH was $48 billion.
NIH is indisputably a major player in this space (although I'm curious what the sector's total investment was in R&D).
01.03.2026 14:59
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Second point, and I am surprised by how rarely I see this: one reason LLM-based AI agents are not very good at promoting breakthroughs in biomedicine is because our knowledge of biology is still so sparse. You can't connect and remix what isn't there.
01.03.2026 14:40
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I am both laughing and weeping
27.02.2026 17:54
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Please donβt get me started on the lack of coherent definitions in research administration π©
27.02.2026 17:47
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Hope youβre also enjoying the food! Go to Morning Call for beignets like a native! For dinner I recommend Ireneβs.
27.02.2026 17:39
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Ah, the good old fashioned divide between programmatic intent and programmatic reality.
27.02.2026 00:29
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It is β¦ not an easy listen
26.02.2026 21:39
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listening now
26.02.2026 19:55
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From 1981.
"Chance and Consensus in Peer Review"
www.science.org/doi/10.1126/...
26.02.2026 15:07
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