@mathisfederico.aster.id - Mathïs Fédérico

03 Oct 2026 11:47 +0000

I don't think LLMs poor judgement are a replacement for actual scientists yet. Still we should design a scientific system to be 'machine compatible', because it will allow exactly to measure how 'good' these AI scientists are, and profit from it when it gets good, unlike the publication system.

24 Sep 2026 10:54 +0000

To everyone that says Goodhart's law is reason to not measure scientific progress. If you blind yourself, you accept to rely on feelings, reputation, and social power dynamics. Measures allows to ground decisions in reality. Building good measurement tools is what science is suppose to do.

23 Sep 2026 10:31 +0000

AI in science is not the problem, just like any other tool. Incentives given by considering papers as unit of work and journals and citations as measure of quality are the direct cause of the current enshitification of science. AI just amplified the means to follow incentives blindly.

22 Sep 2026 09:23 +0000

Filtering academic works is not only futile, it also drives bad incentives. Whenever there is a filter, a KPI becomes maximising the number of works that passes the filter. Thus quantity over quality, strain on the filter, and you end up exactly in our current peer-review situation.

22 Jun 2026 12:22 +0000

Scientific publications are mistaken for valuable outputs, a consequence on relying on peer-review for quality control. The true evaluation of research starts AFTER publication. Did the research produce any evidence that actually changed minds or reinforced our beliefs? If not what have you done?

04 May 2026 16:39 +0000

We need to change perspective to fix our broken scientific system. Thank you Michael Horn for the invitation to share my view in his great podcast The Future of Education! It's about time we optimize for true #ScientificProgress, not papers, but #ChangeMinds being #EvidenceBased. https://www.linkedin.com/posts/michaelbhorn_what-if-the-peer-review-process-isnt-just-ugcPost-7457076125060534272-7zVE?utm_source=share&utm_medium=member_desktop&rcm=ACoAACySfSABH-r5TpIcNN42cBoYiIMplONTovo

26 Jan 2026 16:55 +0000

As young scientist you will have to choose: #Academia? Face the <5% tenure probability, fight for grants and prestige over papers publication. #Industry? Please your hierarchy and stakeholders, but for substantial reward. I choose the hard path to #RethinkScience. And you what will you do?