> EpiFusion uses particle filtering to simulate epidemic trajectories over time and weight their likelihood according to both case incidence data and a phylogenetic tree using separate observation models, resulting in the inference of trajectories in agreement with both sets of data.
Definitely AI written, though it got the point across and it wasn't terrible to read and it was new information to me so I was glad to read it.
At this point what news site isn't AI written? Except for the few remaining human blogs (which are a delight and a pleasure). Why I detected AI: it said "The honest footnote.." at the end. That's how Claude always ends our long-rambling discussions.
Lots of news sites aren't AI written; or if AI is involved, it's not as blatant as in this article. The 'papers of record' largely remain AI-free. You increasingly have to pay for good journalism.
"Every published piece is editorially directed and reviewed before it goes live.
We use AI tools in research, drafting, and editing. Editors decide what claims, framing, and pieces make it to publish."
Can we stop every comment thread being about why is this written by or with the help of AI? Right now as I comment that is pretty much all the comments here are about!!
Isn’t the actual underlying science - which I don’t recall seeing on HN before - more interesting?
I would like to know how it turned out - does it work in practice, is it practical to deploy, is it already or soon going to make any impact on real farming?
". Émer, then in her early teens, did the thing that separates a science story from a compost story: " this reads so AI / LLMish.. it's like the same feeling if you had to eat the same food again and again, not quite sickness but something about the repetition.
Using nitrogen-fixing bacteria is not a new concept and it's the life's work of Dr Mariangela Hungria, who recently received the 2025 World Food Prize for her achievements in the field:
"Hungria" cant have a better name for food research.
Nitrogen fixing is one of the more frustrating things to work on as there is such a massive ready supply of unfixed nitrogen to work with everywhere on our planet and all in all we need such a tiny proportion to dramiticly improve agriculture.The whole thing is so finly balanced that herbivors can likely smell the diference in plants that have been given nitrogen fertiliser and raid our crops and gardens for the fixed nitrogen that then facilitates there own internal bacteria and thereby achive better nutrition for themselves. But to my frustration and anger, nothing eats alder bushes, which are a never ending problem in taking over fields, but when after employing machinery to uproot them,( it bieng the only way to kill them), reveals there bright orange knobly roots, that host the nitrogen fixing bacteria that they contain.
There is enough nitrogen and other nutrients in alder that the area's where they are piled and burnt will remain significantly more fertile for many years after.
One of my(many) projects is to experiment with "terra preta" and build a charcoal kiln, primarily for alder and hopefully be able to retain a greater portion of the
"good stuff™" that is otherwise lost to rotting or combustion.
That's a qreat discovery by these three qirls. But what IS it with websites that use a font with utterly weird g's? Do they think they need it to stand apart?
Studies show that your concentration remains sharper if your visual processing system is jarred out of its complacency at frequent, semi-random intervals, preventing you from lapsing into a low-effort 'skim-reading' mindset. It's something to do with the predictive processing model; over time, your brain comes to rely increasingly on top-down processing if its expectations are consistently met, and I guess there is some interplay between visual processing and semantic comprehension in this context.
(Just kidding! I think it is simply an annoying affectation.)
For real, I thought it was just me but I find the unfinished g's really distracting, even though I understand it's a stylistic choice my brain keeps thinking it's being rendered funky
> Refreshing to see there are other outcomes than asking AI what it is these days.
In science, that's the only way to obtain results: do experiments, gather data.
It's also what sets scientists apart from other people: curiosity. "Hey that's odd, I wonder...". Non-scientists (read: most people) just care about quick answers & how to apply knowledge to their situation.
Note that knowledge in a field, intelligence, 'professional qualification' or whatever, is not essential. These can all be learned or 'sourced' from 3rd parties. But (imho) the curiosity part is essential to make a good scientist.
AI helps to trawl through the mountain of data & knowledge already out there. Re-hash & make it more easily accessible. Discover connections (like proving a math conjecture) that were overlooked before. Which is a good thing. But it can't produce raw data itself. Unless given control of equipment to run experiments on its own. Which might happen btw - if not done already.
The fun thing about research like this is that biology is a 'dirty' science (pun intented): results obtained in experiment A may differ from results in experiment B, due to differences in the local environment: presence/lack of other nutrients, bacteria occuring in A but rare/absent in B, specific varieties of crop used, pollinators, soil pH, etc (yes even local climate).
It's fine if people use AI to lower the bar to entry & make sense of things they don't (yet) understand. But it's sad if people think AI has all answers when it does not, and cannot possibly ever do so. Or even hallucinates at times. Rely on AI as The One Oracle(tm) at your own peril.
Cool a science blog! But it's a rehashed article, followed by an infinite amount of random Taboola scams, arbitrage posts, clickbait articles with jarring content.
Why does shit like that work better than quality contextual advertising?
For years the holy grail has been for corn to produce its own nitrogen. This could be a small step in the right direction. Interested to see what happens when some of the great American agricultural schools further this experiment.
Putting aside the cultural imperialism (this happened in Ireland, which is in Europe, which is also where two of the greatest agricultural schools in the world, if not also the two greatest for this, are based), it also happened over a decade ago, so I guess everyone has tried furthering it by now.
https://www.yahoo.com/news/16-old-girls-win-google-science-f...
They posted a video summarizing their efforts in 2014:
https://www.youtube.com/watch?v=vL9N7O0uJoU
Vice did an interview in 2016:
https://www.vice.com/en/article/these-teenagers-science-proj...
Ciara Judge went on to join the research effort to stop Covid in 2021:
https://ciarajudge.github.io/about
And recently earned her Ph.D publishing GPL3 software:
https://github.com/ciarajudge/EpiFusion
> EpiFusion uses particle filtering to simulate epidemic trajectories over time and weight their likelihood according to both case incidence data and a phylogenetic tree using separate observation models, resulting in the inference of trajectories in agreement with both sets of data.
https://doi.org/10.1371/journal.pcbi.1012528
At this point what news site isn't AI written? Except for the few remaining human blogs (which are a delight and a pleasure). Why I detected AI: it said "The honest footnote.." at the end. That's how Claude always ends our long-rambling discussions.
https://scienceblog.com/about-us/
"Every published piece is editorially directed and reviewed before it goes live. We use AI tools in research, drafting, and editing. Editors decide what claims, framing, and pieces make it to publish."
Isn’t the actual underlying science - which I don’t recall seeing on HN before - more interesting?
I would like to know how it turned out - does it work in practice, is it practical to deploy, is it already or soon going to make any impact on real farming?
https://www.worldfoodprize.org/en/laureates/20202026_laureat...
(Just kidding! I think it is simply an annoying affectation.)
https://fonts.google.com/specimen/Syne
In science, that's the only way to obtain results: do experiments, gather data.
It's also what sets scientists apart from other people: curiosity. "Hey that's odd, I wonder...". Non-scientists (read: most people) just care about quick answers & how to apply knowledge to their situation.
Note that knowledge in a field, intelligence, 'professional qualification' or whatever, is not essential. These can all be learned or 'sourced' from 3rd parties. But (imho) the curiosity part is essential to make a good scientist.
AI helps to trawl through the mountain of data & knowledge already out there. Re-hash & make it more easily accessible. Discover connections (like proving a math conjecture) that were overlooked before. Which is a good thing. But it can't produce raw data itself. Unless given control of equipment to run experiments on its own. Which might happen btw - if not done already.
The fun thing about research like this is that biology is a 'dirty' science (pun intented): results obtained in experiment A may differ from results in experiment B, due to differences in the local environment: presence/lack of other nutrients, bacteria occuring in A but rare/absent in B, specific varieties of crop used, pollinators, soil pH, etc (yes even local climate).
It's fine if people use AI to lower the bar to entry & make sense of things they don't (yet) understand. But it's sad if people think AI has all answers when it does not, and cannot possibly ever do so. Or even hallucinates at times. Rely on AI as The One Oracle(tm) at your own peril.
"Truth is not decided by majority vote".
A wart-covered pea plant is what they refer to (near Cork, Ireland)
Why does shit like that work better than quality contextual advertising?
"Brawndo! It's got what plants crave!"