Antonis Matakos

[Antonis Matakos @AntonisMatakos]

@MinimumWidth Ofc I don't expect Kompany to change his approach radically, and perhaps not even at all. He is a bit like Flick in this regard (despite their principles being quite different) , as he accepts high risk in his game model knowing that 9 times out of 10 he will get rewarded

[Antonis Matakos @AntonisMatakos]

@MinimumWidth Barcelona and Inter last year, Real and Psg this year, these are all games and ties that could have gone either way. I feel that Kompany is missing one european "statement win" where his approach will shut down the opposition and not produce a rodeo game that can go either way

[Antonis Matakos @AntonisMatakos]

@Sextuple_winner @iMiaSanMia Nothing great about being apolitical. Being apolitical is in the end a political choice. These footballers are very influential and could sway public opinion if they took a stance. For example Mbappe vs far right

[Antonis Matakos @AntonisMatakos]

@Sextuple_winner @MinimumWidth Offensively probably not but the defense has a lot of room for improvement

[Antonis Matakos @AntonisMatakos]

@the_nellybelly @nanakweso9 The only explanation is that they mentally burnt out. No other way for me to explain this offensive performance.

[Antonis Matakos @AntonisMatakos]

@Tactx_ @Mann_aus_Berlin I also wonder how much of it was not just tactical but psychological. We’ve seen Pep overthink Real Madrid games and it backfiring completely too. Kompany simply stuck with what the players know best, perhaps to avoid burdening them with unfamiliar instructions and extra stress.

[Antonis Matakos @AntonisMatakos]

@ruedashraf @Tactx_ PSG won't defend in a low block like Madrid do. They like to have the ball, like Bayern do

[Antonis Matakos @AntonisMatakos]

@Tactx_ @Mann_aus_Berlin Going 2vs2 with a man-oriented press vs Vinicius and Mbappe is way too risky IMO. I love Kompany as a coach but he got away with it here

[Antonis Matakos @AntonisMatakos]

@Tactx_ A lot of teams have tried to beat Real with control only for Real to find a way at the first sign of vulnerabilty. Kompany tried to beat them instead at a basketball game and it worked. But it was a really risky approach. I think xG is equal or even favouring Real over two games

[Antonis Matakos @AntonisMatakos]

@Tactx_ It has to be said that Mendy and Trent did a really good job defensively on Olise and Diaz respectively

[Antonis Matakos @AntonisMatakos]

@shemsifcb Maybe individually not on the level of Ribery/Robben/Lewandowski but this has to be the best functioning trio that Bayern has ever had

[Antonis Matakos @AntonisMatakos]

@MinimumWidth Bayern is not that good today

[Antonis Matakos @AntonisMatakos]

@MinimumWidth I think they decided to utilize more Semenyo's depth runs. They were playing only through Doku in the first half

[Nicola Perugini @PeruginiNic]

Almost 800.000 signatures: “EU citizens cannot tolerate that the EU maintains an agreement that contributes to legitimize and finance a State that commits crimes against humanity and war crimes.
Full suspension of the EU-Israel Association Agreement.” https://t.co/k917AsC3aN

[Antonis Matakos @AntonisMatakos]

@esetfcb Same referee as well

[Antonis Matakos @AntonisMatakos]

@blacktom1961 Δε γίνεται αυτό, απ τη στιγμή που έχουν πυρηνικά

[Alessandro Ingrosso @ai_ngrosso]

The "publish or perish" culture must perish. Scientists need time to think.

We just published our Slow Science Manifesto, where we argue that huge changes are needed in the way we fund, publish, and evaluate science.

Read more and sign here: https://t.co/Y40sYkLEjb

[Andrew Akbashev @Andrew_Akbashev]

A really dangerous situation. Too many submissions. Too many generated papers. Little responsibility.

1. In 2026, more than 24,000 submissions were made to the International Conference on Machine Learning (ICML). It’s TWO times more than in 2025. To fight it, the organizers now require researchers to pay $100 for every subsequent paper.

2. LLM adoption has increased researcher productivity by 90% (there’s a recent paper in Science).

3. The number of papers is becoming far too high. Submissions to arXiv have risen by 50% since 2022.

4. There are simply not enough reviewers. Plus, many scientists no longer want to invest precious time in it for free.

5. We can’t easily identify AI-made papers from the genuine ones.

__

Important words from Paul Ginsparg, a co-founder of arXiv:

“AI slop frequently can’t be discriminated just by looking at abstract, or even by just skimming full text. This makes it an “existential threat” to the system.”

Basically, we’re getting closer to the tipping point.

📍 Many professors blame the AI.

But the problem is likely elsewhere:

1. Without a sufficient number of papers, many PIs can’t get funded. They have to prove their credibility to reviewers. Their proposals have to rely on prior publications. In many countries, there are some informal (or even formal) expectations for how many papers a group with a certain size has to publish to survive (funding-wise).

2. Our students / postdocs need papers if they want to be hired in faculty roles. Yes, some departments hire people with few publications. But the majority still want to ensure their faculty can get funded. If funding is partly a function of papers, this is used in decision-making.

3. The number of papers is important if you want to get high-level awards. Many of them are not given because you published one paper (even if it’s great). They are given because you made a meaningful CONTRIBUTION to the field. How do you make it? Publish more papers.

4. Tenure promotions in many places take the number of your papers into account (often indirectly). Your tenure may get delayed if you don’t publish enough. Not everywhere, but for many mid- to low-ranked universities this story is more or less the same.

+ There are many more to mention.

📍My opinion:

Much of this is rooted in how funding is distributed.
There is a strong correlation between the requirements at a university and the funding acquisition criteria.

If funding were based ONLY on the quality of published papers, universities would hire people for the quality of their science. If funding agencies strongly discouraged publishing too many papers, universities wouldn’t expect numbers from faculty during promotions. And some supervisors wouldn’t pressure students and postdocs to publish unfinished studies and low-quality data.

Yes, we need good detectors of fake papers.

But we also need the right policies and better funding allocation criteria.

[Antonis Matakos @AntonisMatakos]

@MinimumWidth Coman never did 😔