According to a recent report, more than half of Australians have lost confidence that people of all faiths and backgrounds can live safely together in the wake of the Bondi Beach terror attack.

The new finding comes from research conducted on behalf of the Combat Antisemitism Movement. It found that 52 per cent of Australians said they were less confident in social harmony, while just 15 per cent said they were more confident that people of different faiths and backgrounds could live safely together following the December 2025 attack.

To be honest, the fact that the figure is only 52 per cent is surprising. You would think it would be much higher.

How can Australians be so naïve as to believe that people of fundamentally different faiths can simply live together harmoniously? It sounds nice in theory, but to believe that religious differences are irrelevant to social cohesion requires abandoning any meaningful understanding of what it actually means to have a different faith.

We are not talking about different denominations of Christianity disagreeing over infant baptism, hymn books or whether women should hold a church office. We are talking about different religions—in other words, different gods and fundamentally different understandings of ultimate reality.

Think about the implications of that for a moment.

Different gods mean different understandings of what is true and false, right and wrong, good and evil. Different religions make different claims about how truth is discovered, what man is obligated to do and what constitutes moral behaviour.

One religion may consider a particular practice sacred while another considers it morally evil. One may permit a form of marriage that another prohibits. One may regard conversion as essential while another considers apostasy a crime deserving death. One may impose religious laws concerning food, sexuality, family or punishment that another completely rejects.

These are not insignificant differences.

They are contradictory moral claims.

So, which god takes precedence? Which moral law governs when two religions make contradictory demands?

There must inevitably be some religious hierarchy of authority. Whenever moral laws are applied to an entire society, someone must ultimately determine which standards are binding.

This is one reason the Christian conception of God is so significant to Western civilisation. Christianity does not present morality as merely tribal or factional. It teaches that there is one God who created all mankind and whose moral authority stands above every tribe, nation, ruler and political faction.

The same moral law applies to the king and the commoner, to friend and enemy, to the powerful and powerless.

That provides the conceptual basis for universal morality.

Polytheism, by contrast, fragments ultimate authority. If different groups appeal to different gods, each with different powers, commands, interests and moral expectations, then there is no universally recognised divine authority above them.

One deity may permit what another forbids.

Different groups can therefore appeal to different gods to justify competing understandings of marriage, sexuality, warfare, sacrifice, justice and social obligation. Religious factions can become political factions, with people identifying more strongly with their god, temple, tribe or religious community than with the society as a whole.

Polytheism creates social disunity because it decentralises ultimate authority.

And without a recognised religious authority above competing gods, there is no common ultimate standard to resolve fundamental moral disagreements.

This is precisely the problem with the modern assumption that multiculturalism and religious pluralism will automatically produce harmony. They often demand that we accept radically contradictory belief systems as equally legitimate without ever explaining how their contradictions are to be resolved.

But harmony requires something people have in common.

So what is it?

It is not their heritage, culture, customs, religion, morality, ethics or understanding of human purpose. And yet we are told that all these differences can somehow be overcome through a shared commitment to multiculturalism, relativism and pluralism.

But on what basis?

Why should we think people with fundamentally different religious convictions will accept the doctrine that all religions and moral systems are equally valid? Why should we think them willing to suspend the exclusive claims of their own faith in order to participate in a pluralistic society that effectively treats competing gods as equally legitimate?

In practice, this is little more than a return to polytheism—a society in which competing conceptions of ultimate authority coexist without any universally acknowledged authority above them.

And that is why belief is not some irrelevant secondary factor when it comes to social harmony. It is one of the most fundamental factors determining whether a society can establish a coherent moral order.

The West did not develop its understanding of universal human dignity, moral accountability and the limits of political authority in a religious vacuum. These ideas were profoundly shaped by Christianity.

But peaceful coexistence is not the same thing as genuine social unity.

A nation needs more than people living beside one another. It needs some common understanding of truth, morality, justice, authority and human purpose.

So when 52 per cent of Australians say they have become less confident that people of different faiths can live safely together, perhaps the answer is not simply to demand more multiculturalism.

Perhaps we should start asking the question multiculturalism has largely avoided:

What, exactly, is supposed to unite people who disagree about the most fundamental questions of reality, morality and human purpose?

If we have no shared understanding of what is true and what is good, what ultimately binds us together?

A passport?

A geographical border?

A vague commitment to “diversity”?

These things can create a fragmented population. They cannot, by themselves, create a unified society.

If there is no moral authority above competing religions, cultures and factions, then social harmony ultimately depends upon everyone voluntarily restraining themselves—and that becomes increasingly difficult when people disagree about what they are morally obligated to do.

You cannot build a stable society by declaring contradictory moral systems equally authoritative and simply hoping they will never collide. If there is no higher standard to which everyone is accountable, then there is no genuine foundation for social harmony—only a fragile truce between competing gods, competing moralities, and competing expectations of what society ought to be.

This story originally appeared in Common Dreams on Aug. 11, 2026. It is shared here under a Creative Commons (CC BY-NC-ND 3.0) license.

A right-wing talk show host on Tuesday pushed President Donald Trump to declare a “national security emergency” that would let him meddle in the 2026 midterm elections—and the president did not rule it out.

In an appearance on Real America’s Voice, Trump listened as host Wayne Allyn Root rattled off actions he would like to see the president take ahead of the midterms.

“Let me put an idea in your head,” Root told Trump. “Because it’s so hard to get the Senate to do anything, now they’re on recess, they never get anything done. If they never get the SAVE America Act done, you have the right to declare a national security emergency for elections.”

Root then told the president that “if you do this in the next month” it would allow for the implementation of photo identification and proof of citizenship requirements, as well as restrictions on mail-in ballots.

“Let me just say that stranger things have happened,” Trump said in response. “I’ll leave it at that.”

The US Constitution does not give the president power to declare a “national emergency” that would allow him to unilaterally rewrite states’ election laws.

Regardless, ABC News reported in February that a group of pro-Trump attorneys were circulating a 17-page draft order that would use the purported threat of election interference from the Chinese government to declare a “national emergency” that would outright ban mail-in ballots and mandate that all ballots be hand-counted.

Trump has not yet signed such an order, but he has issued other election-related directives, including one that instructs the United States Postal Service (USPS) to not deliver ballots in any states that have not given the federal government access to their voter lists.

The USPS executive order and an order that required Americans to show proof of citizenship when registering to vote have been blocked by courts.

Regardless, some observers expressed concern that the president wasn’t yet finished in his efforts to meddle in the coming elections.

“There is zero reason,” wrote CNN host Jake Tapper, “to not take Trump at his word that he and his team are planning something alarming to disrupt the midterms and beyond.”

Criminal defense attorney Scott Greenfield observed in response to the president’s appearance on Real America’s Voice that “Trump has no legal authority to do this,” but warned “that doesn’t mean he won’t try.”

Journalist Mike Rothschild questioned what the conversation between Trump and Root said about both men’s mental stability.

“Once again, Donald Trump is not a wizard,” wrote Rothschild. “He can’t just manifest things into existence by saying them or with a tweet. There is no ‘right’ to do this in US law, nor is there any mechanism that would enable any of this to happen. Both people in this conversation are deranged.”

After losing the 2020 presidential election to former President Joe Biden, Trump refused to concede the race, lied about the election being “stolen” by nefarious actors, pressured Georgia Secretary of State Brad Raffensperger to “find” enough votes to overtake Biden in the Peach State, and pushed then-Vice President Mike Pence to reject certifying the election despite lacking constitutional authority to do so.

When these efforts to overturn the election failed, Trump encouraged his followers to march to the US Capitol, where they broke into the building, assaulted law enforcement officers, and sent members of Congress running for their lives.

Why are establishment Democrats so eager to reach across the aisle to work with a delusional, uncompromising Republican party?

Data: 11 de Agosto de 2026
Por: Dino Frazão

Um violento acidente rodoviário tirou a vida a um jovem de 22 anos, esta segunda-feira, na Autoestrada 13 (A13), ao quilómetro 7,201, no sentido Montijo – Almeirim, na zona de Pegões, concelho do Montijo.

A colisão ocorreu entre uma carrinha fechada de mercadorias e um veículo pesado de mercadorias (camião). Segundo fontes das autoridades e dos serviços de prestação de socorro, do sinistro resultou o óbito do jovem de 22 anos e ainda um ferido ligeiro.

Se viu esta publicação e ainda não é nosso seguidor, siga a página para acompanhar todas as atualizações e conteúdos de segurança rodoviária!

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O conteúdo ACIDENTE MORTAL NA A13 EM PEGÕES aparece primeiro em OS MONHACAS.

Iran has set a high price for President Trump to re-open the Strait of Hormuz, while Israel's PM has rejected his Gaza plan.

Notícia — 11/08/2026
Por: Dino Frazão

Um acidente rodoviário envolvendo seis viaturas provocou dois feridos ligeiros na manhã desta terça-feira, 11 de agosto, na freguesia de Santa Clara, em Lisboa.

O alerta foi dado às 08h29 para uma colisão na Rua Tito de Morais. Segundo o Regimento de Sapadores Bombeiros de Lisboa, a ocorrência mobilizou diversos meios de socorro para o local para prestar assistência às vítimas e assegurar a segurança da via.

Segundo a mesma fonte, do sinistro resultaram dois feridos ligeiros, que foram assistidos no local e posteriormente transportados para o Hospital de Santa Maria.

RSBL

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O conteúdo COLISÃO A ENVOLVER SEIS VIATURAS PROVOCA DOIS FERIDOS EM SANTA CLARA (LISBOA) aparece primeiro em OS MONHACAS.

Notícia — 11/08/2026
Por: Dino Frazão

Um acidente trágico na A25 tirou a vida a um jovem de 28 anos, ao final da tarde desta terça-feira, 11 de agosto.

O alerta foi dado às 17h42 para uma colisão rodoviária ao quilómetro 155,402 da A25, no sentido Celorico-Guarda, ao cimo da subida, na União de Freguesias de Avelãs de Ambom e Rocamondo, concelho e distrito da Guarda.

Segundo fonte das forças de socorro, o sinistro mobilizou para o local 13 operacionais apoiados por 5 veículos de emergência. Apesar de todos os esforços das equipas no local, a vítima não resistiu aos graves ferimentos, tendo o óbito sido declarado.

À família e amigos da vítima, apresentamos as nossas mais sentidas condolências.

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O conteúdo COLISÃO TRÁGICA NA A25 FAZ UMA VÍTIMA MORTAL NA GUARDA aparece primeiro em OS MONHACAS.

In Georgia’s academic world, an entire industry of research fraud hides behind the mask of high citation indices, prestigious journals, and academy memberships. Professors with international reputations use crude distortions, AI-generated images of geese instead of scientific graphs, and blatant plagiarism to churn out publications and secure grants. Plagiat-Navigator tried to make sense of the situation that has developed in Georgia.

UPD 21.05.2026. The original version of this article was released by the editors prematurely. After receiving feedback from readers, we realized that the text needed further editing and clarification of information. We apologize for insufficiently precise wording and for several errors.

Fake science disguises itself as immaculate respectability. Today’s academic impostors have mastered the language of grants, citation indices, and bureaucratic reports. They publish in prestigious journals and, at first glance, are indistinguishable from genuine researchers. Their papers look solid, their graphs and formulas convincing, and their references lead to authoritative sources. Common sense or journalistic intuition is no longer enough to tell a fake from genuine research. Specialized analytical tools and professional expertise in research ethics are required.

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Professor Ozgur Kisi of Ilia State University (ISU), a holder of a Doctor of Sciences degree, was recognized in 2021 as a Highly Cited Researcher by Clarivate and has consistently ranked among the world’s top 2% of scientists according to Stanford University (2020–2025). Thanks to more than 600 publications in peer-reviewed scientific journals, numerous book chapters, and presentations at international conferences, Professor Kisi’s h-index has exceeded 100. In addition, Ozgur Kisi is a full member of the Turkish Academy of Sciences. At first glance, he would seem to be a model of an impeccable, highly productive researcher.

But scientific articles published by Professor Kisi in recent years attracted the attention of Plagiat-Navigator because they contained so-called “tortured phrases.” Such phrases arise when words are mechanically replaced with synonyms, often making the text absurd and unnatural. For example, in one scientific article, “optimal settings” becomes “optical services.” In another paper, birds — whose flock is commonly used in the scientific literature to illustrate the operation of an optimization algorithm — become “feathered animals.”

If these cases of synonymization can, with great effort, still somehow be explained away, then “variation of σ2” in Professor Kisi’s article, used instead of “variance σ2” as it appeared in someone else’s paper published five years earlier, loses all meaning. The source of the absurdity was a systematic strategy of paraphrasing other people’s texts through synonym substitution — a widespread method used to bypass plagiarism-detection systems. Using this technique, Kisi and his co-authors altered not only this phrase but also a large section of another author’s text describing the relevance vector methodology. Other persuasive examples of similar masking by Professor Kisi and his co-authors can be seen here.

It is not only the phrasing that becomes absurd, but also the figures in the professor’s publications. Thus, instead of a diagram comparing predicted and observed data values, the reader is invited to admire geese flying in a wedge formation. It should be added that this article is not about geese at all, but about hummingbirds — which, moreover, never fly in wedge formations.

When discussing manipulations with images, one should also mention Professor Kisi’s university colleague, the ethnobotany professor and fellow highly cited scholar Rainer Bussmann, who studied rare medicinal herbs of the Himalayas but for some reason used images from the internet in his article (see the figure below). That article was retracted by the journal’s editors. But similar things can also be found in other publications by Professor Bussmann.

Example of an image used in a scientific article that had circulated widely on the internet several years before the article was published.

Of course, image fabrication is not practiced only at Ilia State University. Below is an example from an article co-authored by Fariborz Sharifianjazi, a professor at the University of Georgia. As the figure shows, the image is assembled from repeated elements, suggesting the likely use of AI to generate it.

Identical image fragments used to illustrate results obtained under different conditions.

The journal’s editors retracted this article. But the true master of figure fabrication in Georgia’s academic environment may be considered Samad Haksar, a professor at the same University of Georgia, who chose a highly original way to conceal traces of falsified experimental spectra. The following figure shows an example of two matching random background patterns in spectra. In the lower one, the author of the scientific article manually cut off the protruding details — the fluctuations — in order to hide traces of research fraud. In scientific practice, the coincidence of random noise patterns in independent experiments is statistically impossible. Their identity is direct evidence of fabrication. An experienced scientist first notices the matching background patterns by the protruding fluctuations in the spectrum. That is why the more sophisticated falsifiers manually remove everything extra from the spectrum that sticks out and catches the eye.

Example of two matching random background patterns in spectra. In the lower one, the author of the scientific article manually cut off the fluctuations in order to conceal traces of research fraud.

Two typical episodes add further evidence of the systemic nature of what is happening, illustrating the most common forms of academic fraud. In the first case, a journal editor discovered that some authors, including Georgia’s most prominent and authoritative economist, had been quietly added to the author list shortly before publication. In the second case, the editor of another journal discovered that literally on the eve of publication, the authors had changed the bibliography without coordinating the change with the editorial office. More than two dozen references to the works of one of the article’s co-authors — a professor at the University of Georgia — had been added to the list. In both cases, the articles were retracted by the journals. These two cases are mentioned here to illustrate the most widespread method of scientific fraud: guest authorship and excessive citation. Both of these services are most often purchased from dealers trading in scientific publications, authorship, and bibliographic references to them.

[[socialnetworks]]

In Russia, according to investigations by Dissernet, more than 200 university rectors have fake dissertations or publications containing large-scale plagiarism. Not one of them has suffered any consequences for it. On the contrary, they continue to run universities, sit on expert councils, and receive state support. In this respect, Georgia appears, with some delay, to be confidently copying the Russian model. Falsifiers are successfully occupying state-funded posts and receiving privileges — and for that reason their activities require systematic work by professionals and targeted academic auditing.

The post Geese Instead of Hummingbirds and Optical Services: How Georgia Rewards Imitators of Science appeared first on Т-инвариант / T-invariant.

Russia’s neocolonial policies in the occupied territories of Ukraine target the education system first: schools and universities have become primary tools for coercion and identity erasure. This is the core finding of a recent study by the Ukrainian outlet Realnaya Gazeta, which details how the Kremlin carries out ethnic displacement across multiple levels. Journalist Ksenia Turkova spoke with Andrey Dikhtarenko, editor-in-chief of Realnaya Gazeta, to discuss the report for T-invariant.

Video version of the interview (in Russian).

Ksenia Turkova: Does your analysis mainly focus on the so-called “old” occupied territories — the DPR and LPR [Donetsk People’s Republic and Luhansk People’s Republic — T-invariant]?

Andrey Dikhtarenko: Yes, but not exclusively. We also looked at areas occupied after the 2022 invasion. Of course, we had far more data on Donetsk and Luhansk, given that twelve years have passed since they were first occupied. Luhansk and Donetsk made it much easier to track which key positions exactly are being taken over by arriving Russians as locals are pushed out.

BACKGROUND

The authors of the study, “Ethnic Replacement as a Tool of Russian Neocolonization,” concluded that the occupation of the Donbas involves processes that go far beyond mere military control. In practice, it amounts to a systematic demographic transformation. Local officials are gradually replaced by Kremlin appointees, while the labor market is deliberately designed to attract a massive influx of Russian specialists, creating deep inequalities and fueling social conflict. This resettlement of Russian citizens is framed by propaganda as a “rescue” mission and a humanitarian effort. In reality, it is a deliberate campaign of demographic engineering. The study is based on open-source intelligence, including data from occupation administrations, press reports, social media, and human rights monitoring. 

KT: When it comes to the territories occupied after 2022, are they seeing the same kind of “creeping” replacement, or is the approach different?

AD: The replacement there is happening much faster. You have to realize these are devastated cities with barely functioning infrastructure, no mobile internet, and strict checkpoint systems. They aren’t particularly popular destinations for Russians, so even this “voluntarily-mandatory” resettlement process is struggling. I’m not talking about Mariupol, which is seen as a potentially attractive coastal city, or Melitopol and Berdiansk in the Zaporizhzhia region. Those hold some appeal. But the newly occupied areas of the Luhansk region, which bore the brunt of the fighting — cities virtually wiped out by the Russian army and never rebuilt — are of interest for Russians. No one wants to move or work there. The local population is deeply resentful, barely surviving under horrific conditions, and there is no money to be made off them. So the dynamics vary wildly. That said, Mariupol and the coastal areas of the Donetsk region have essentially reached the level of the older occupied territories [controlled by Russia and its proxies since 2014 — T-invariant] in terms of Russification and ethnic displacement.

KT: The statistics are incredibly striking: back in 2014, there might have been just two officials from Moscow, but now there are ten or eleven. Why did the Kremlin opt for a gradual replacement strategy at first?

AD: Because the Russians lacked confidence that they could govern effectively on their own. They needed to work in tandem with locals initially. Our study shows that in 2014, there was only one Russian citizen in the so-called government of the Luhansk region. He’s quite a notable figure — General Sergey Kuzovlev, who was operating under a pseudonym at the time. He is the same Russian general who recently claimed multiple times to have “completely captured Kupiansk.”

Kupiansk hasn’t fallen yet, but that didn’t stop him from being named a Hero of Russia. Back then, Kuzovlev served as the “Minister of Defense” in the Luhansk region, while the rest of the cabinet consisted of locals. However, it’s crucial to understand that every single local official had advisors, instructors, and handlers from Moscow embedded with them, constantly monitoring operations and pulling the strings. There is another reason they didn’t rush. Until 2022, Russia concealed its direct occupation — likely hoping to use the Minsk agreements to reintegrate these territories into Ukraine as a Trojan horse to steer Ukrainian politics. When that plan failed, they formally “annexed” the regions. After that, Russification and ethnic displacement went into overdrive across the board. Now we see new ministers being imported directly from the Russian heartland.

KT: What actually happens to the local proxy officials once they are pushed out of these roles?

AD: They vanish. Many former ministers and mayors just drop off the radar. In fact, they frequently end up assassinated. For instance, the proxy mayor of Luhansk, Manolis Pilavov, was shot dead right in the street. Igor Plotnitsky, the former head of the LPR, hasn’t been seen in years. Some reports suggest he is quietly living in Voronezh, but there are plenty of darker rumors about his fate.

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In other cases, these locals are reassigned to Russia. There was a fascinating case with Dmitry Trapeznikov, who was a deputy to the DPR leader, Alexander Zakharchenko. After Zakharchenko was assassinated, a power struggle broke out between Trapeznikov and Denis Pushilin. Trapeznikov was ultimately forced out of Donetsk, but the Kremlin threw him a curveball — he was appointed city manager of Elista, the capital of Kalmykia. This man had never set foot in Kalmykia in his life, yet Moscow decided to drop him there. The local population actually held mass protests against his appointment. He managed to hang on for a while and later resurfaced in some regional government role, allegedly overseeing sports and tourism. It’s quite a trajectory: from a Donetsk “separatist” to a mayor in Kalmykia. But this aligns perfectly with Russian colonial logic, where the main goal is to dilute any potential ethnic core of resistance. Simply put, a Ukrainian from the Donetsk region is easily turned into an enforcer of Kremlin directives in a completely different ethnic republic, thereby breaking down that republic’s cohesion and undermining the locals’ ability to organize or self-govern. So, displacement is a two-way street.

Furthermore, this strategy of ethnic dilution goes far beyond administrative appointments. If you look at the local hierarchy as a pyramid, it operates at every tier. The top tier consists of the high-ranking officials imported from Russia. It’s not just about the sheer numbers, but the specific portfolios they hold. As a rule, Russians are placed in charge of law enforcement, security services, local police, and the military; they control finances and economic assets; and they frequently oversee education, culture, and, without exception, propaganda.

What happens at the next level down? Not only do local municipal and district education boards have to report to Russian centers regarding the curricula they implement, but there is also a massive personnel replacement underway. Local teachers are being systematically replaced by newcomers. The Russian state program Zemsky Uchitel [“Rural Teacher” — T-invariant] actively incentivizes Russian educators to move to the occupied territories. They are offered lucrative salaries and various bonuses, creating an institutionalized inequality where a Russian teacher and a Ukrainian teacher hold the exact same position, but the Russian makes several times more. Imported Russian teachers also are fast-tracked through promotions to become vice-principals, principals, and administrative heads. Meanwhile, local teachers face a hard glass ceiling.

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The exact same dynamic plays out in healthcare via the Zemsky Doktor [“Rural Doctor” — T-invariant] program. Think about the psychological impact: a Russian and a Ukrainian surgeon are operating side by side, and the Ukrainian doctor knows he is paid a fraction of his colleague’s salary and that this newcomer is about to become his boss. What does he do? He starts looking for a job in Russia itself. He throws his hands up, packs his bags, and moves to Russia itself to at least get paid the same rate as the newcomer — who, to add insult to injury, was given housing expropriated from fleeing Ukrainians. So, as you can see, this process also starts working in reverse.

KT: How do the incoming Russian teachers justify their move? Is it purely financial?

AD: Not entirely. It’s driven by severe staff shortages, because Ukrainian teachers left the occupied areas in droves. Remaining an educator under occupation is incredibly dangerous; you are forced into roles that carry severe criminal liability under Ukrainian law. For instance, it’s no secret that teachers are coerced into running polling stations and managing logistics during sham elections and referendums. In Ukraine, participation in these events is a serious crime.

On top of that, you are forced to give Kremlin-mandated propaganda lessons called “Conversations about Important Things,” where you have to press high schoolers to enroll in military academies or sign contracts with the Russian army to fight in the so-called “special military operation.” Many teachers simply break down. It’s an unbearable job for anyone whose heart aches over what is happening and who sees their own neighbors being killed. You can’t just tune it all out and focus solely on teaching — you are constantly dragged into political rallies, indoctrination seminars, and quasi-electoral administrative work.

So there really is a teacher shortage. And Russia intentionally fills these vacancies with Russian citizens because they are deemed ideologically reliable.

KT: How does state propaganda frame this influx of Russian educators?

AD: They claim there is a shortage of qualified local staff, so volunteers are arriving from across Mother Russia to help out. They spin a narrative of selfless people stepping up to educate children. In reality, it’s plain economics — they are pulling in multiples of what local teachers make.

KT: Which parts of Russia are these teachers coming from?

AD: Anywhere from the Moscow suburbs to the deep provinces. Initially, it was mostly people from impoverished regions. But once word spread about how fast you can advance your career there, opportunists from all over Russia started signing up. Spending a year teaching in an occupied zone adds that record to your employment history — the ultimate proof of political loyalty. For public sector workers, it elevates their social status completely. If a teacher returns from the occupied territories to their hometown and, for instance, gets rejected for a job, they can file a complaint. Such people are eagerly hired and protected: “Look, we have someone like this on board, we welcomed them, so we are loyal too.” This is how the system works: it tries to process as much of its own population as possible through the occupied territories, poisoning people with ideology and, essentially, tainting them with blood. Because an empty teacher’s position in a place like Mariupol is a human tragedy. That person was either killed, forced to flee, or stripped of their home. And then privileged Russians arrive, making much more money. It raises a serious moral question: are they complicit in the tragedy? Something tells me that, yes, they are.

[[socialnetworks]]

KT: Is the curriculum taught in these schools entirely the Russian one, complete with all those “Conversations about Important Things” [a mandatory ideological lecture series introduced in Russian schools — T-invariant] and patriotic clubs?

AD: Yes, absolutely, but there are also lessons on the history of the native region — a history completely turned inside out, from which any Ukrainian influence has been thoroughly erased. For context, my native Luhansk region was settled in waves, primarily by Zaporozhian Cossacks, and the entire northern half of the province is traditionally Ukrainian-speaking. There are some pockets of this in the south as well. But none of that is allowed in schools. Instead, they write about Don Cossacks, for example. Anything related to Ukraine is painted in dark colors. Meanwhile, the events of 2014 are presented in such a bizarre, mythologized fantasy style that locals who actually lived through them can’t read the textbooks without laughing.

KT: I keep thinking about the teenagers from the newly occupied territories — they must remember reading entirely different things in their textbooks just recently. And now everything has been flipped upside down.

AD: In reality, people somehow adapt. But in recent years, a fairly large number of children, as soon as they turn eighteen, get a passport and leave for Europe through Belarus or Georgia. Many return to Ukraine, saying, “Thank God, everyone speaks Ukrainian here!” These teenagers essentially live a double life: they secretly chat with friends who escaped and treasure any Ukrainian content, because having it can get you severely punished. They play these games, and then they do everything they can to escape and enroll in Ukrainian universities. Of course, most children try to distance themselves from this propaganda, to live in their own world, so to speak, but that is incredibly difficult to do: the propaganda machine does everything to ensure you are reeled in from the earliest grades. Children are sent to various patriotic camps for the summer — and everything there is free, which wins over the parents. Parents think, “Well, he’ll be learning to assemble drones — that’s fine, let him sit there, at least he’ll be getting three square meals and fresh air.”

But they brainwash them heavily there. Children in the occupied territories are actively recruited to enroll in various military institutions. You only need to open any official Telegram channel of a local news agency to see that, besides the news, it is literally flooded with recruitment ads for military training schools across Russia. They want to pull children from the occupied territories into these military education institutions.

On top of that, various “cadet classes” are being set up — all under the guise of Don Cossack tradition — where children are groomed for military careers. And a certain percentage of these kids are expected to sign a contract upon graduation. It’s pretty clear where these children might end up after that.

KT: And how is this displacement happening at the university level?

AD: It’s the exact same story: there is a shortage of professors, so Russians from neighboring regions come in. Many universities have become branches of Russian higher education institutions. For example, to take some of your exams, you have to travel to, say, Rostov. The mechanism is identical, though the indoctrination is slightly less crude than what they do to young children.

All these youth movements like Yunarmia [Young Army — T-invariant] and Dvizhenie Pervykh [“Movement of the First” — T-invariant] are fully operational. Students are corralled into all sorts of rallies and forced to participate in elections as well. Additionally, they are reviving the Soviet-style “student construction brigades.” Students from Luhansk and Donetsk are routinely shipped off to remote corners of the Russian Federation for manual labor. There was a story where students from a Luhansk university were sent to Kamchatka to gut fish at a fish processing plant. They worked there under horrific, unsanitary conditions, with virtually no sleep. Even though they had been promised something completely different. Unfortunately, they really love using children from the occupied territories as cheap labor — and always within Russia itself. Someone in the Kremlin apparently believes that the more youth they ship out like this, the faster the occupied territories will dissolve into the pan-Russian space.

KT: It sounds like a closed system where everything gets blended together. I assume this also applies to diplomas? You can’t go very far with a diploma issued in an occupied territory — only to Russia.

AD: Absolutely, but they actually find ways around it. If you are concerned about an international career, you can take your exams at one of Russia’s partner universities. In short, there are loopholes, and they started figuring them out back in 2014.

KT: At the same time, they are inviting foreigners to study in the occupied territories.

AD: It’s not a very widespread phenomenon yet. Recruiting foreigners is a bit of a gray scheme.

International recruitment agencies in African or Asian countries exploit the fact that local students don’t know the language and can’t read the contracts. They make a deal with a student, telling them, “You will be studying at a medical university in Russia.” They promise them Rostov, for instance, but bring them to Luhansk. After a couple of months, when the students start speaking a bit of Russian, they ask, “Wait, why are we in Luhansk?” And they reply, “Well, you signed the contract. It’s no big deal, you’ll get a degree from Luhansk University, and then another degree from a university in Rostov or Voronezh, and everything will be fine.” By the way, there are a lot of students from India right now.

KT: What could be the long-term consequences of this ethnic engineering?

AD: I believe total assimilation is still a long way off. However, if the process isn’t interrupted, it will end with the region being fully digested. All Ukrainian behavioral models that were partially instilled by teachers in schools, expressions of Ukrainian culture, and so on, will be pushed out as much as possible. For example, in a Ukrainian school, a teacher cannot use physical force against a student — that would cause an absolute scandal and lead to a criminal prosecution. But in Russia, and especially in the occupied territories, this is practiced. They discipline students physically, and later this carries over into a person’s adult life — they enter the military with its culture of hazing. I worry deeply for my fellow countrymen, and we all hope for de-occupation, for some kind of internal resistance from the people. But one must never underestimate the power, malice, and resourcefulness of propaganda.

People have talked a lot about ethnic replacement over the years, but no one has tried to quantify or analyze it. We did. We are showing this process as it stands in 2026. And one of the main conclusions we reached is that we cannot afford to abandon these territories informationally. There is still a substantial portion of the population there that is deeply disgruntled with what is happening, who dislike how things are being taught, and who resent the fact that Russians are taking over all the positions. This friction remains a critical fault line — one that could, at the very least, disrupt and slow down Russia’s absorption of Ukrainian regions.

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The post Education as a Weapon: How Russia Forces Ethnic Displacement in Occupied Territories appeared first on Т-инвариант / T-invariant.

The Russian-American Science Association (RASA) strongly condemns the continuing practice of labeling internationally renowned Russian scholars as “foreign agents.” This time, the Russian authorities have added to the foreign agents registry the distinguished biomedical scientist, professor at Northwestern University, and first president of RASA, Igor Efimov. We regard this decision as politically motivated and aimed at further undermining international scientific cooperation and the principles of open science.

Igor Efimov is an internationally recognized expert in biomedicine and cardiology, the author of groundbreaking research, patents, and technological innovations aimed at treating severe cardiovascular diseases. The wireless dissolvable pacemaker developed by Igor Efimov and his laboratory — smaller than a grain of rice — was named by TIME as one of the most important inventions of 2025.

Igor Efimov is not only an outstanding scientist, but also one of the founders of the modern international Russian-speaking academic community. As the first president of our association, he played a key role in shaping its mission: supporting free science, strengthening professional ties among researchers across countries, and promoting the integration of Russian science into the global academic community.

For many years, while working in the United States, Igor Efimov actively contributed to the development of Russian science, supported initiatives aimed at raising its international standards, encouraged the professional growth of young scholars, and fostered cooperation between Russian and international research centers. His work was devoted not to politics, but to the advancement of science, education, and international academic exchange.

Attempts to exert pressure on scholars such as Igor Efimov discredit the governing system itself and make the Russian authorities appear absurd both domestically and internationally. Unfortunately, these short-sighted actions also inflict lasting damage on the future of Russian science. It has become increasingly clear that the true targets of persecution by the Russian authorities are independent scientific thought, international cooperation, and the very idea of free science. We call on academic communities, universities, and scientific organizations in the United States, Europe, and other democratic countries to express solidarity with all scholars facing persecution by authoritarian and politically repressive states.

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T-invariant releases the latest issue of the Chronicle of the Persecution of Scientists: No. 32, dated April 30, 2026. At the end of April, the Russian government agreed to revise and soften the draft law on artificial intelligence published by the Ministry of Digital Development in March. The bill was restrictive and prohibitive in nature, and its enforcement, especially in its original version, could have led to numerous prosecutions of developers, companies, and even users by the FSB. T-invariant wrote about this in its commentary. However, active criticism of the bill led the government to retreat.

The main concession to business was the abandonment of the requirement that “sovereign” and “national” models be trained exclusively on data assembled in Russia by Russian citizens. Businesses had warned that there was catastrophically little such data in the public domain, that compliance with this requirement would increase the cost of AI deployment by 20–40 percent, and that it would slow time to market by a factor of two. The authorities agreed. AI models may now be trained on any available data, regardless of their source. At the same time, the requirement that large AI services (with more than 500,000 users) register as organizers of information dissemination was removed. This would have obliged them to install SORM surveillance systems and provide the security services with direct access to user data.

Throughout these discussions, no one spoke publicly about what everyone in the industry already knows. The real technological scheme of the Russian AI market looks roughly like this, or is moving toward this configuration: Chinese Huawei chips, Chinese open models such as DeepSeek or Qwen, additional training on Russian-language material, and output filters blocking politically undesirable content. (On this Russian-Chinese setup, see T-invariant’s article “Sovereign Intelligence on Chinese Chips” and commentary by T-invariant editor Alexander Sergeev.) It is a workable and relatively inexpensive scheme: operating the open Qwen model costs tens of times less than Western equivalents. This is precisely the model that business was defending when it pushed to scrap restrictions on data sources. And in the end, it is this model to which the authorities adapted.

However, the law preserved the main control mechanism: a registry of “trusted models,” mandatory for the public sector and critical infrastructure. Certification is to be carried out by the FSB and FSTEC (the Federal Service for Technical and Export Control — the agency historically responsible for protecting state information systems from foreign technical intelligence). The idea is clear: before allowing a model near state secrets, the government wants to check whether there is anything suspicious inside it. The problem is that, in principle, this is extremely difficult to verify.

Current research points to several difficult problems that arise when auditing a model. Here are just a few of them. In so-called distillation — when one model (the student) is trained on the output data of another model (the teacher) — the student inherits the teacher’s hidden preferences even if the training data appear completely neutral. Anthropic researchers called this effect “a love of owls.” The somewhat odd name comes from a demonstration example: the teacher AI was trained so that, among all birds, it preferred owls. The student — an AI of the same architecture — was then trained on the teacher’s output data, and owls were never mentioned at all. Nevertheless, the student retained the teacher’s preference. The authors of the paper showed that this “love of owls” is transmitted through statistical patterns invisible to ordinary inspection. In other words, in some cases a Russian model trained on Qwen data will retain the teacher model’s preferences, but inspection cannot “catch” those preferences — such control methods simply do not exist.

In addition, a “trigger” can be deliberately embedded in the training data — a rare phrase or construction that causes the model to behave completely differently from its normal mode. Standard testing will not reveal such a trigger. To find it, one simply has to know the phrase. But even if the model itself is flawless, agentic systems — where AI has access to email, documents, and corporate databases — create an entirely different attack surface. Aim Security showed how, through an ordinary email in Outlook, Microsoft Copilot could be made to silently extract an organization’s confidential data and send it to an attacker — without a single click on the part of the victim and without leaving any trace in the logs. No model certification could have prevented that. The model is fine; the vulnerability lies in the system architecture.

DeepSeek is distributed under an open license: the model weights are available, it can be deployed on one’s own servers, and it can be studied. This creates an illusion of auditability. But DeepSeek’s training data are closed, and that is precisely where undesirable properties may be hidden, if there are any. FSTEC understands this no worse than anyone else. The result is a strange configuration: the agency receives formal authority to certify something that, technically, cannot be fully audited, while the Chinese origin of these models rules out awkward questions to the developers of the training data — China is a “friend forever; how could we possibly suspect it?” As a result, certification turns not into a protective mechanism but into a bureaucratic procedure that creates the appearance of control, while also proving very costly for business.

Pavel Krasheninnikov, chairman of the State Duma Committee on State Building and Legislation and head of the Presidential Council for the Codification of Civil Legislation, sharply rejected the bill: “The Civil Code is a foundation, and trying to build separate structures on top of it for every new technology, in ways that contradict it, is a path to legal chaos. If there are a few sensible ideas of a public-law nature, their place is in sector-specific legislation, not in an empty legislative shell.”

But there is also something worth noting that is rare in today’s Russia. More than 150 experts and representatives of the largest companies took part in the discussion of the bill. Business openly criticized specific provisions and succeeded in having them removed. The Presidential Council publicly rejected the government’s initiative. The law was genuinely debated, and real amendments were made. This does not mean that subsequent by-laws from the FSB and FSTEC will not restore what has now been abandoned. But the very fact of such bargaining is a rare sign that Russian technological policy still retains a certain pragmatism.

Almost certainly, this is connected to the military applications of AI: in drones, in processing intelligence data, and in logistics. This is no longer theory; it is a real war. To regulate civilian AI so heavily that its development comes to a halt would also mean cutting back military applications. This argument almost certainly came up in closed-door discussions. It may well have been the decisive one.

New Cards

Stanford University

April 10, 2026. Russia’s Justice Ministry added Stanford University to the list of foreign organizations whose activities are deemed undesirable in Russia. The Prosecutor General’s Office made the decision on March 26, Kommersant reports. Media reports did not provide the reasoning behind it.

Alexander Kabanov

April 17, 2026. Russia’s Justice Ministry added Russian-American chemist Alexander Kabanov — a corresponding member of the Russian Academy of Sciences and a professor at the University of North Carolina — to the foreign agents register. According to the ministry, Kabanov disseminated false information about decisions made by the Russian authorities and the policies they pursue, opposed the special military operation in Ukraine, and participated in the creation and dissemination of materials and messages by foreign agents and organizations deemed undesirable in the Russian Federation, RIA Novosti reports.

Nikolai Testoyedov

April 9, 2026. The Central District Court of Krasnoyarsk placed Academician Nikolai Testoyedov under house arrest — the former director general of JSC Reshetnev Information Satellite Systems, Russia’s principal satellite manufacturer, according to the joint press service of the courts of Krasnoyarsk Krai. Testoyedov was charged with large-scale fraud (Part 4 of Article 159 of the Criminal Code), Vedomosti reports.

Updates

Azat Miftakhov

April 22, 2026. Novaya Gazeta reported that “Azat Miftakhov is being transferred to serve his sentence in the Yamalo-Nenets Autonomous Okrug,” according to his support group. “This is connected with the terms of the sentence, under which Miftakhov must spend a year and a half of his four-year term in a strict-regime penal colony.” The paper notes that Kharp, where Miftakhov is being transferred, has two colonies: IK-3 “Polar Wolf,” a special-regime colony where Alexei Navalny was held before his death, and IK-18 “Polar Owl,” which has both strict- and general-regime sections.

The post Chronicle of the Persecution of Scientists No. 32 appeared first on Т-инвариант / T-invariant.

A bill pending in the U.S. House of Representatives aims to counter Russian innovation and protect certain Russian scientists. T‑invariant examines whether it will ever pass and, if so, who might actually benefit from it.

Measures introduced by the U.S. State Department after the start of the war in Ukraine have effectively cut off Russian scientists working in mathematics, biology, physics, chemistry, computer science, and other STEM fields from participating in U.S. scientific collaboration. Even getting a two‑week visa to attend a conference now requires security clearance from all special services. For the same reason, it has become almost impossible to collaborate on scientific papers with American colleagues. This directly contradicts Joe Biden’s statement made at the beginning of the war that the United States would “robbing Putin of <…> his best brains”. In reality, over the past four years the situation has only worsened. And in January 2026, the door for Russian scientists slammed shut completely — following President Trump’s executive order indefinitely suspending the issuance of immigrant visas.

Nevertheless, back in May 2025, Congressman Bill Foster (D‑IL) introduced in the U.S. Congress H.R. 3536, titled “A bill to authorize the Secretary of Homeland Security to provide certain nationals of Russia with special immigrant status, and for other purposes” (also known as the “Countering Russian Innovation and Protecting Select Scientists Act”).

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The bill would grant special immigrant status to up to 3,000 scientists from Russia working in science, technology, engineering, or mathematics.

“The list of fields was most likely taken from the Critical and Emerging Technologies List,” says Denis Vavaev, head of advocacy at Liberty Forward. “This is a list of critical and emerging technology areas developed by the White House in coordination with numerous agencies. For the bill, this is undoubtedly a strength that could help it pass. As for the number — 3,000 people — I have two theories. The first is based on recent statistics showing that U.S. universities grant roughly 16,000–17,000 PhDs to international students in STEM fields each year. About 75% of them stay in the country, at least in the short term (up to five years), while around four thousand leave immediately after graduation. It’s possible the figure was chosen to replace those departing foreigners with Russian specialists. The second theory: it may be based on estimates of how many STEM scientists have left Russia since the start of the war. I haven’t seen such estimates myself, but I can’t rule out that U.S. authorities obtained these numbers somehow.”

The goal of the bill is to bring the best scientists out of Russia, thereby strengthening American science while weakening the Russian government that, under conditions of a mobilization economy, isolation, and sanctions, is relying on “sovereign science.” It is no coincidence that the bill was introduced by Bill Foster, the only current member of Congress with a PhD in physics. He completed his PhD at Harvard and worked in elementary particle physics at the legendary Fermilab. Since 2008, he has been active in Democratic Party politics.

Bill Foster. Photo: Chicago Sun-Times

Why was the bill introduced at a time when the Trump administration had sharply tightened immigration policy, including toward Russian nationals? “Perhaps it was at this moment that they finally found a Republican co-sponsor for the bill — Jay Obernolte — which allowed it to be introduced on a bipartisan basis,” Denis Vavaev suggests. “Or perhaps the timing is linked to the arrival of the Trump administration, which is far more hostile toward China than the Biden administration was. This would strike a blow not only at Russia but also at Russian-Chinese scientific cooperation. It could also be a trial balloon — a way to test the new Congress’s appetite for such legislation. Despite the strong overall opposition to immigration, many Republicans remain open to high-skilled immigration while firmly opposing low-skilled inflows. The logic is straightforward: technological competition with China is only going to intensify, and the U.S. cannot afford to fall behind.”

To date, the bill has not been considered in any committee in either chamber, nor has it been discussed in public discourse. This may be because brain drain from Russia is not currently a priority for either Democrats or Republicans, says Evgeny Roshchin, a fellow at the Center for European Policy Analysis and visiting scholar at the School of Advanced International Studies at Johns Hopkins University.

“The mere introduction of a bill does not necessarily mean it is meant to pass. Such bills are fairly common. They are introduced, one might say, to signal a position. Then they sit in committee for years. This seems to be the case here. It doesn’t even matter that Trump was in power in 2025. The bill was most likely introduced regardless of Trump and without any realistic expectation of success. Even with a likely shift in the House after the fall elections, the bill’s chances remain slim, since Democrats have other priorities they will be prioritizing,” he says.

This view was indirectly confirmed by the congressman’s own office.

“At this time we do not have an estimated timeline for consideration of the bill in committee or on the House floor. Those timelines are largely determined by the majority party, so we have limited influence over scheduling,” Caitlin Fong, an aide to Bill Foster, told T‑invariant. Fong also noted that the bill does not provide any specific financial support for scientists leaving Russia.

According to T‑invariant, the bill will be reintroduced after the November 2026 congressional elections. However, even if the legislation is taken seriously, only a handful of people — not 3,000 per year — would be able to benefit from it, unless the procedures for issuing short‑term visas to Russian scientists are also changed. In recent years, Russians specializing in STEM fields have been unable to travel to the United States for conferences or seminars because even tourist (B) or exchange (J) visas require full security vetting by all agencies. This vetting process can take years and has no fixed timeline. Moreover, U.S. security services have been reluctant to grant entry to STEM specialists from Russia even as students.

“I applied twice for internships at American universities in 2024 and 2025,” an undergraduate student from a prestigious Moscow university told T‑invariant speaking on condition of anonymity. “I specialize in the social sciences, but dozens of physics, math, and computer science students also applied. They were all denied visas. Historians, journalists, and political scientists got them.”

It’s unclear how the bill’s sponsors intend to get around the problem of security clearance procedures for STEM specialists — checks that were apparently introduced at the urging of security agencies. “I understand your concerns about the lengthy vetting process for Russian scientists wishing to enter the United States,” says Caitlin Fong. “Under this bill, applicants for special immigrant status must, to the extent practicable, receive a decision no later than 90 days after the Secretary of Homeland Security receives all required documentation and information needed to adjudicate the petition.”

According to a Russian physicist who commented anonymously on the document, the bill in its current form does not address the main barriers preventing Russian scientists from obtaining positions in the United States today.

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“The bill concerns immigrant visas, and it’s good that this special program sets a 90‑day decision timeline. However, to apply for it, applicants first need a job offer. And if no dedicated funding is provided, Russian scientists will have to compete on the open market. How can I compete on equal terms when I am effectively cut off from the United States? A person needs to be able to enter the country, attend interviews, give talks, and co‑author papers in international journals with American colleagues. I don’t have that opportunity now. Today, for a Russian STEM scientist to come to the U.S. for a two‑week interview or conference, they must undergo a security vetting process that can last a year or longer. I’m not even sure which group of people this program is targeting. STEM scientists — even those with European residence permits but holding a Russian passport — are not being issued ordinary B visas to America. Getting one from inside Russia is even more difficult. The most effective way to solve the problem of attracting highly skilled professionals from Russia is through two measures: simplifying and speeding up the issuance of short‑term visas for scientists with Russian passports, and providing funding for a dedicated federal program to fund positions for Russian scientists at American universities and research centers. This would not be a large sum for the U.S. federal budget. But it would allow the bill to achieve its stated goals — countering Russian innovation and protecting select scientists,” the T‑invariant source believes.

The fact that the bill allows entry to specialists without guaranteeing them jobs is one of the most controversial aspects, notes Denis Vavaev as well. “Republicans will undoubtedly argue that this could burden the social welfare system if people don’t find work and that it would create competition for U.S. workers. That said, the bill is currently authorized for only four years, meaning it would not need to be renewed if the program proves unsuccessful. Also, given Foster’s background as a physicist, it’s possible he looked into whether there is actually a shortage of specialists in the specific fields the bill targets. It’s quite narrowly focused, so people would essentially be recruited on a targeted basis. In addition, this would give the U.S. time to train its own workforce,” Vavaev says.

[[socialnetworks]]

A separate question is why the bill does not provide for STEM scientists who have already left Russia and are now in various countries waiting years for American visas, nor for students and researchers already in the United States. It would seemingly be simpler and cheaper to regularize the status of people already here than to specially bring out those trapped behind a new “iron curtain.”

In any case, turning the “Countering Russian Innovation and Protecting Select Scientists Act” into a fully operational program to undermine Russia’s technological self‑sufficiency — as its sponsors envision — would require a vast number of accompanying legal and administrative measures. Meanwhile, the very introduction of such a bill, which contemplates bringing up to 12,000 specialists out of Russia over four years, will not go unnoticed by Russian security services. And the longer it is under consideration, the worse the situation will become for scientists inside Russia. “If the Americans can’t pass this law quickly, I’d rather they abandon it altogether,” says a scientist who tried to leave Russia but was denied a U.S. visa because of his affiliation with a sanctioned university. “While Congress debates it, they’ll simply detain people preemptively here as a preventive measure.”

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The post Brains Won’t Drain Themselves. What’s Wrong with the U.S. Bill for Scientists from Russia appeared first on Т-инвариант / T-invariant.

The Director of the MSU Institute of Artificial Intelligence, Katerina Tikhonova, now oversees a significant portion of AI education, research, and development in Russia. The Kremlin has long been working to consolidate this industry into a single system, and “control over it” can only be entrusted to a select few. However, these technologies are sovereign only on paper and in officials’ speeches. In reality, Russia remains heavily dependent on global AI leaders — decreasingly on the United States and increasingly on China. T-invariant examines how Katerina Tikhonova, Oleg Deripaska, and VTB Bank are involved in the process, why a “unified AI ecosystem” was built on Sparrow Hills, and why not only most university scientists but even the MSU Research Computing Center — whose specialists assembled the university’s first three supercomputers — have been excluded from it.

Previously on T-invariant

Punished for a Prompt: How the State Plans to Control AI in Russia

“Sunny Peak” of Sparrow Hills. How Big Computational Science at Moscow State University Became Secret and What Putin’s Daughter Has to Do With It

“Sovereign” Means Military. How Russia Militarized AI, Drone, and Cryptography Industries

State Corporation “Unified Perimeter”. How Putin’s Daughter and Her Photomodel Friend Decided to Make Innopraktika an Integrator of All High-Tech Companies

On April 21, 2026, MSU hosted the launch of the AI Faculty, marking the completion of the “unified AI ecosystem” on Sparrow Hills. Katerina Tikhonova now has all four elements of this system firmly in hand. First came the MSU AI Research Center, then the fully operational MSU Institute of Artificial Intelligence, which she formally heads. In 2024, the powerful new MSU-270 supercomputer was launched, dedicated entirely to AI applications.

Center, Institute, Faculty

The AI Faculty is led by Ivan Oseledets, who holds a Doctorate in Physical and Mathematical Sciences and is a Professor of the Russian Academy of Sciences, and CEO of the Artificial Intelligence Research Institute (AIRI). His deputy for research is Anton Konushin, who holds a Candidate of Sciences degree (equivalent to PhD) in Physical and Mathematical Sciences, and is a scientific supervisor of the MSU AI Research Center. For now, the faculty website lists only two additional administrative staff members; there is no information about faculty members. However, the research staff of the Center and the Institute significantly overlap. Most likely, they will form the core teaching staff.

“We are admitting 36 bachelor’s students, including 20 state-funded, and 36 master’s students, including 20 state-funded places,” stated Ivan Oseledets. Classes at the AI Faculty will be taught primarily by young instructors: the average age of the teaching staff is only 30 years. Tuition for paying students is about 500,000 rubles [7000 USD] per year.

The number of places in the first intake is comparable to competing universities (for example, with the HSE University), and the price, against the broader trend of rising costs for high-level IT education (see T-invariant’s analysis) — is relatively affordable. The reason may lie with the sponsors.

One of the central figures at the April 21 event was Oleg Deripaska, who was featured in most news reports and press releases and gave statements to numerous Russian state TV channels. Previously, two of his foundations financed some of the activities of both the AI Center and the Institute (as well as numerous AI-related programs aimed at students, graduate students, and staff from other faculties and university units).

Oleg Deripaska has three charitable foundations through which he funds educational and scientific initiatives. Most of Deripaska’s AI funding at MSU flows through the Intellect foundation (annual reports are available here). However, support for the faculty is provided by his best-known and longest-running nonprofit — Volnoe Delo. This may be due to public relations considerations: the large-scale coverage of the AI Faculty launch was clearly signed off on at the top. This is evident from the airtime and framing of the story on the evening news program Vremya anchored by Ekaterina Andreeva. Deripaska’s third foundation, Basis, focuses on supporting the Faculty of Physics at MSU — the alma mater of the billionaire.

Deripaska is not the only financial partner in the MSU AI ecosystem. VTB Bank plays a significant role as well. Katerina Tikhonova collaborates with the bank both as Director of the MSU Institute of AI and as head of Innopraktika. It is hard to distinguish between these two roles. With VTB funds, the Institute organizes the annual Data Fusion Awards forum and awards prizes. In April 2026, another forum was held, featuring leading AI speakers from MSU, while Katerina Tikhonova herself joined via video link and spoke about the importance of fundamental education for specialists (in recent years, Putin’s daughter has only appeared via video — whether at the SPIEF or the anniversary conference of her own Innopraktika).

China and Processors

At the 2026 Data Fusion Awards, the MSU Institute of AI received the special VTB Science Grand Prix “for its significant contribution to the implementation of joint projects on the introduction of AI technologies… and cooperation on a new AI project in China.” Details of the cooperation on the referenced Chinese project were not disclosed during the award ceremony, but it likely refers to VTB’s recent announcement that the bank had begun “a pilot industrial deployment of graphics processors of Chinese origin.”

Back in April 2025, Vedomosti reported that VTB was considering creating an AI center of expertise in China. According to the outlet, the center was to be a dedicated facility for applied joint research between Russian and Chinese specialists, enabling rapid prototyping and testing of AI devices in China—without having to import them into Russia. It is notable that in 2025 the emphasis was not on processors at all. According to the bank’s presentation, “AI devices” included wearable devices (watches, smartphones, glasses, rings), smart home devices (televisions, cars, refrigerators), and digital assistants for industrial use (machine tools, 3D printing, production monitoring and control systems, and smart transportation).

[[socialnetworks]]

That said, GPUs are clearly critical for VTB and all other Russian institutions engaged in high-performance computing — large banks, IT companies, and the like. VTB Deputy President and Chairman of the Management Board Vadim Kulik, speaking at a recent Data Fusion forum, stated that the new graphics processors are being integrated into the bank’s core processes related to AI — including computer vision, text processing and analytics, speech recognition (speech-to-text), and generative models. The first installations of these GPUs began in March 2026. “Testing showed that the Chinese GPUs perform reliably and integrate well with the bank’s existing IT infrastructure. Deployment is proceeding smoothly, with minimal modifications and strong performance. This will speed up AI development, including work on digital assistants and AI agents,” Kulik said.

“Chinese GPUs are being integrated into more and more systems — which suits China’s interests as well. But there are, of course, difficulties with adapting software. Most language models can run on proprietary software, with results delivered through standard protocols. So, in principle, it is quite feasible to integrate video recognition or similar tasks into the bank’s processes. But creating your own models is significantly more difficult,” comments an engineer familiar with Nvidia’s operating rules and the assembly of top-tier supercomputers in Russia, speaking to T-invariant.

T-INVARIANT REFERENCE

In 2024, sources told The Wall Street Journal that Chinese internet giants and telecommunications operators were testing Huawei’s latest Ascend 910C processor. According to them, Huawei informed potential clients that the processor was on par with Nvidia’s H100 chip, which Washington has banned from being supplied to China. Since Russia’s invasion of Ukraine, all Nvidia supplies to Russia have also been banned, although gray imports continue. In 2024, T-invariant reported that the MSU-270 supercomputer was assembled using Nvidia chips purchased via a Chinese company. At the same time, all components in the tender documentation were listed under the fictitious brand SOLAR PEAK, but based on the parameters of the purchased cables, nodes, modules, and other equipment, everything is identifiable as Nvidia products.

Drones, Robot Dogs, and Gait Analysis

The new AI Faculty building is set to house a “robot park for developing control systems for robotic platforms.” “We intend to set up a park of various types of robots — from robot dogs to androids and drones. We already have a list prepared,” said Konushin (quoted by TASS). The creation of joint laboratories with the Russian-Chinese MSU-PPI University in Shenzhen is also being discussed.

The relationship between the new faculty—and the broader MSU AI ecosystem—and China may be the most revealing thread in this story. “Chinese colleagues visited our department yesterday. We discussed the creation of joint educational programs and dual-degree programs. We will certainly do this,” Konushin said.

Close cooperation did not start recently: back in November 2025, the MSU-PPI University in Shenzhen website published a report about the creation of two laboratories. The first is the Laboratory of Nanostructured Optoelectronic Functional Materials and Devices. “The work spans the entire scientific cycle: synthesis of quantum dots, perovskite nanocrystals, and chiral nanomaterials, their physicochemical and spectroscopic characterization, theoretical modeling of processes, and integration of the resulting materials into real optoelectronic devices,” the description states. The second — the Laboratory of Artificial Intelligence Algorithms and Their Applications — fits squarely into the “unified AI ecosystem” at MSU — especially given that the people pictured are, in fact, the same individuals.

T-INVARIANT REFERENCE

The joint project between the Beijing Institute of Technology and MSU is the first university jointly established by China and Russia. The memorandum to establish it was signed during Putin’s official visit to the PRC in May 2014. Instruction began at the university in September 2017. The number of students is expected to reach 5,000 in 2026.

Scientists at the MSU-PPI University in Shenzhen are working on developing AI systems for drones, stated Dmitry Shtarev, head of the university’s Department of Research, in May 2024 at the Russian-Chinese EXPO in Harbin. According to him, this is one of the “rapidly developing research areas at the university.” “At the EXPO we showcased several drone models that we are developing. These are classic drones better suited for delivering heavy payloads, as well as smaller models,” he said.

Here is how journalists described the “butterfly drone”: “When folded, all the blades tuck into the body, effectively turning it into a cylinder shape, which reduces its size for transportation. It is launched in an unconventional manner — by being thrown upward.”

In 2025, Shtarev described another joint development: “The system analyzes the characteristics of a person’s gait and compares them with a database of indicators of psychoemotional disorders, including chronic depression. Another practical application is the prevention of incidents in the metro, at train stations, and in other public places (reported accuracy exceeds 80%).”

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Who Is the “Ecosystem” For?

Not all specialists supported the idea of creating a separate AI Faculty at MSU. “Does it really make sense to carve AI out as a separate field when students can be taught within the Faculty of Computational Mathematics and Cybernetics or the Faculty of Mechanics and Mathematics? Why create a new faculty instead of a department? It is unclear to me. And in terms of the number of students it attracts, it still effectively looks like a department. This looks like a turf war — staking out a niche, a domain, perhaps even an entire industry,” reflects a member of the Russian Academy of Sciences familiar with the situation.

The entire “unified ecosystem” operates in near-total isolation, according to another source who spoke with T-invariant. “If you look at the segment aired on the Vremya program, they showed the old Lomonosov-2 supercomputer, not the MSU-270. This suggests the film crew was not allowed inside. And the Lomonosovs have nothing to do with Tikhonova’s operations. There is a clear division. And it’s not just because the new one was built largely using gray import schemes. No one inside the university is allowed access to the new supercomputer except for a narrow circle of insiders,” the source says.

This is confirmed by another scientist familiar with the university situation. “For the second year running, I’ve been asking colleagues at the MSU Research Computing Center what’s going on on Tikhonova’s side of things. They just shrug — they are not allowed access. They found out about the creation of the faculty, as well as the launch of MSU-270, from the news,” the researcher says.

All sources interviewed by T-invariant confirm that the new MSU-270 supercomputer continues to be used exclusively for AI-related tasks, while Lomonosov-2 has become even more outdated and frequently fails. “Colleagues are essentially told: make do with your clunky old system — run your computations on Lomonosov-2. No one has access to MSU-270 except for a narrow circle,” the scientist clarifies.

Identifying People by Their Gait

”The new university division will train researchers who will be able not only to work with existing neural networks but also to create new ones. First of all, we will study issues of artificial intelligence in medicine, genetics, computer vision, and such complex topics that require a good knowledge of mathematics, computer science, and other fundamental subjects,” says MSU Rector Viktor Sadovnichiy in an interview with Channel One.

However, as T-invariant has repeatedly reported, all the main research and developments of the AI ecosystem being built by Tikhonova have potential for dual use. But this will become clear only when the customers of these technologies determine how exactly to use “classic drones better suited for delivering heavy payloads,” within which system the AI model that determines a person’s behavioral traits from their gait with 80% accuracy will operate, and for what purpose the perovskites will be used — to create solar panels or for optical and laser sights, as well as communication systems used in combat drones.

Whatever the Kremlin and the Ministry of Defense ultimately decide, the infrastructure for secrecy is already in place: first and foremost, a centralized system, controlled by the FSB, for vetting all civilian research. And this system operates much more strictly than in the Soviet Union, when Soviet scientists already had experience working in a closed scientific system. The Kremlin is now taking a decisive first step toward a new model of “sovereign science.”

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Russia is currently discussing a draft law on the regulation of artificial intelligence (the AI Law), which may come into force on September 1, 2027. Major market players and legal experts are taking part in the discussion, but it is already clear that the central issue is not technological development. It is control over what users ask and what machines answer. T-invariant explains how the state intends to effectively legalize censorship in the AI sphere, how this mechanism would work, and who may end up taking the blame.

AI Censorship

Almost all public AI models, especially large language models (LLMs), implement some form of censorship. Before turning to the proposed AI Law, it is worth briefly describing how this mechanism works. Not every model uses all the methods below, but some combination is almost always present.

At the pre-training stage, developers can carefully filter the datasets on which the model is trained. This is the most effective method of censorship. In this case, the model simply knows nothing — for example, about the events in Tiananmen Square in 1989 or about Russia’s “foreign agents.” For the model, these things do not exist, and it cannot describe them in principle. However, this approach undermines informational integrity and can lead to hallucinations: the model senses a gap in its knowledge and tries to fill it with plausible but invented information.

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To avoid this, models are usually trained on fuller datasets and then refined through supervised fine-tuning with human feedback. The model generates answers, which human evaluators mark as “good” or “bad.” “Good” answers are reinforced; “bad” ones are down-ranked. This reduces hallucinations but does not completely eliminate the risk that “undesirable” information will slip through — especially if a user is actively trying to obtain it.

For this reason, developers usually add an output filter as well. Such a filter is easier to configure and update than retraining the entire model. When censorship rules change rapidly — as they do in Russia today, with more and more people being labeled “foreign agents” and universities declared “undesirable” — the output filter can be quickly adjusted. It is a rather crude solution: the model simply refuses to answer certain questions, but it protects the developers from administrative or even criminal liability. This is how filters currently work in most Russian AI models.

In Russia, the authorities are conducting a campaign against the “LGBT extremist organization.” As part of this campaign, access is being blocked to many books that the authorities claim contain “LGBT influence.” If you ask Yandex’s AI assistant Alice about the book Summer in a Pioneer Tie, it will most likely reply: “I won’t answer that question, because I don’t really know enough about it.” And if you ask whether it has a filter that prevents it from answering, it will not respond directly but will instead try to explain that the question itself is somehow improper. In essence, this is a defeat for the model, but developers apparently have little choice given how quickly the list of prohibitions changes. Updating an output filter is relatively cheap and fast, whereas retraining a model to completely erase any memory of a book that sold hundreds of thousands of copies and was a bestseller in 2021–2022 would be prohibitively expensive.

In practice, all three forms of censorship are used: filtering training datasets, supervised fine-tuning, and output filtering.

Users and Developers

The AI Law has mainly been discussed in the media in terms of restricting user access to foreign (“cross-border”) models. Most popular foreign models — ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), and others — are already inaccessible from Russian IP addresses. Russian users typically access them via VPNs. Although bypassing blocks is becoming more difficult, this issue is not directly related to the AI Law itself.

Article 10, paragraph 4 of the draft law introduces liability for the “illegitimate” use of an AI model by the user. It requires users to “use artificial intelligence services and models for purposes that do not contradict the legislation of the Russian Federation” and “not to perform actions aimed at circumventing built-in security and control mechanisms in violation of the established operating parameters of AI systems.”

AI models, especially LLMs, often contain information that censors consider “illegitimate.” For example, Alice knows perfectly well about Summer in a Pioneer Tie. With indirect questioning, it may even begin to provide substantive answers, but the output filter usually intervenes at the final stage. There are numerous techniques (known as “jailbreaks”) that allow users to make a model “talk” despite its restrictions. However, an ordinary user may simply not realize that the information they are seeking is prohibited. There is no clear boundary between legitimate curiosity and a malicious jailbreak.

The law therefore introduces liability for an “improper” query. It does not specify what form this liability takes or how intent is to be proven. Since models store chat histories, users usually register profiles, and law enforcement has access to the servers of companies such as Yandex or Sber, users can be held accountable. In practice, this already leads people to avoid topics they consider risky. The explicit inclusion of user liability in the law makes working with AI models a potentially dangerous activity.

However, the law is aimed primarily at developers and operators of AI models. It introduces the concept of a “sovereign” AI model and sets criteria for inclusion in the corresponding register. Such models must be trained on datasets formed on the territory of the Russian Federation. While it is impossible to completely exclude foreign data (for example, excluding the arXiv preprint server would render any scientific model useless), the final assembly of the dataset and the training process must occur on Russian territory under state oversight.

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“Sovereign” models must undergo supervised fine-tuning that ensures “security” and reinforces “traditional values.” The full list of ideological priorities in the law includes: “life, dignity, human rights and freedoms, patriotism, citizenship, service to the Fatherland and responsibility for its fate, high moral ideals, a strong family, creative labor, the priority of the spiritual over the material, humanism, mercy, justice, collectivism, mutual assistance and mutual respect, historical memory and continuity between generations, and the unity of the peoples of Russia” (Article 4, paragraph 6).

The boundary between, for example, a “Ukrainian Armed Forces fighter” and a “Russian Armed Forces serviceman” (both potentially viewed as “patriots defending the homeland”) is extremely unstable. Even after multiple rounds of fine-tuning, it is practically impossible to separate such concepts completely. Output filtering will therefore remain necessary — though even that does not guarantee full compliance with censorship requirements.

The law also introduces the concept of a “trusted” AI model. “Trusted” and “sovereign” are not the same thing. A separate register will be created for “trusted” models, which may be used in critical infrastructure. Judging by Article 8, the emphasis here is placed more on technical “security” than on ideological conformity.

When Liability Begins

Of course, there are also specialized models. For example, a model trained to detect lung cancer in X-ray images is unlikely to “discredit the Armed Forces of the Russian Federation” (though if it uses a natural-language interface, that possibility cannot be ruled out).

The safest possible model answers every question the way AI Alice answers questions about Summer in a Pioneer Tie: “I won’t answer that question, because I don’t really know enough about it.” But such a model would be useless to anyone.

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Any large language model inevitably balances between “safety” and “usefulness.” Article 11 of the draft law addresses the liability of parties involved in the AI ecosystem.

Paragraph 2 reads as follows: “The developer of an artificial intelligence model, the operator of an artificial intelligence system, and the owner of an artificial intelligence service shall bear liability in accordance with the legislation of the Russian Federation for a result obtained through the use of artificial intelligence that violates the legislation of the Russian Federation, provided that the said persons knowingly knew or should have known of the possibility of obtaining such a result through the use of the model, system, or service of artificial intelligence of which they are the developer, operator, or owner, unless the contrary is proven in the course of investigative actions” (emphasis by T-invariant).

In other words, if a “sovereign” Russian model describes a Russian soldier as an “occupier,” this does not automatically make the developers liable for “discrediting the Armed Forces.” The law allows for the possibility that the developers could not have prevented such an outcome.

Paragraph 3 confirms this: “The developer of an artificial intelligence model, the operator of an artificial intelligence system, and the owner of an artificial intelligence service shall be exempt from liability under paragraph 2 of this article if they have taken exhaustive measures to prevent the obtaining of such a result and have complied with the requirements of the legislation of the Russian Federation in developing the model, operating the system, and providing access to the artificial intelligence service” (emphasis by T-invariant).

Without this provision, the development of public AI models in Russia would likely grind to a halt. However, it remains unclear how this will work in practice. A determined FSB officer using jailbreak techniques could still elicit a prohibited response. Large companies like Yandex or Sber will most likely be able to defend themselves using Article 11, paragraph 3. Smaller developers of open-source models may not have the resources to prove they took “exhaustive measures.”

The Russian Bar Association described the draft law as “excessively oriented toward state control and insufficiently mindful of business interests.” This is a fair assessment — though hardly surprising.

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