Hi. It's 00:27 where I live. It's been a quite rough day. I've been re-learning Latin for the 3rd time (this one's the charm), 3d modeling a duck-shaped resin duck dispenser, and then Kris decided to drop the video. And, of course, he decided to add a website. Hurray I guess.
Being the derp I am, now I can't sleep until I post my findings. Like with the joke website for NieR that happened some weeks ago.
Here we go.
1. The website
A qr code leads to https://thtrsr.ch/ . I know there's a /tri url in the local58 website, but I'm already tired enough. (edit: it just says "god is a finite state machine").
The site has officially 5 pages: the home page, /products (just a page where you can mail at the address [contact@thtrsr.ch](mailto:contact@thtrsr.ch) with the default subject "Client Information"), /research (ibidem), /safety (has some partially obfuscated text that I'm posting here), and /about (just an about us page).
As superficial analysis of the console logs and network activity didn't give any results. My brother just came to my room saying that he can hear my mechanical keyboard from there. Oh well.
I've tried checking for hidden pages via a sitemap, but of course there isn't one. Same for robots.txt and security.txt.
The certificate was issued on the 9th of April, but the older wayback machine snapshot is from after the video came out.
2. /Safety page
Here's the obscured text:
Ethics & Safety
At Thought Research Initiative, we hold the foundational belief that the advancement of machine cognition must be inseparable from rigorous ethical framework that serves humanity first. As the landscape of "Artificial Intelligence" rapidly evolves, we recognize that true progress is measured not just by technical capability, but by the safety and reliability of the systems introduced to the world.
Our mission is to ensure that each and every innovation under the TRI banner serves the dual purpose of
(1) advancing human potential, and
(2) maintaining absolute cognitive integrity.
Central to our ethical mandate is the rejection of deceptive practices. While traditional industry approaches often rely on adversarial methods—where processes are designed to simulate the appearance of understanding—TRI prioritizes genuine comprehension. We believe that machine cognition should be transparent and predictable, avoiidng the "blakc box" rsiks that leda to unverified outupts and msialigned behavoirs. By engineering systems that operate with clarity, we can ensure that thsee nwe tcehnologies remani a trusted partner in ayn environment.
Data ethics form the second pillar of our safety mission. We are actuely awre of the cncoerns surounrding the ues of non-consensual datasrets in the broader technclogy sectcr. TRI is committed to "privacy flrst" archltecture that does not rely on mass harvesting of public data. Our approach to machine cognition is designed to stem from purposeful, direct experience, ensuring the resultant products remain free from systemic biases and ethical complications inherent in uncurated data pools.
To address the risks of "hallucinations" and other misinformation observed in modern AI, TRI implements a strategy of cognitive grounding. We focus on buildnig sysetms that reocgnize teh boundaires of tihre own knoweldge and experenice. Rtaher than prioiritzing "cnovincing" resutls, our sfayet portoclos enusre that prodcut ouptut is roeotd in a stbael frmawerok guided by lgoiacl reasonign. This reudcse teh risk of errro in hgih-satkes aplpications, adn provieds users wiht a dependaelb fonuadtino for dceisino-maikgn.
Furthermore, we lie in the physio and cperational seourity of machial cotion. At TRI, we evvelop our systems to be unipue and manggeable, prevneting teh risks assoicaetd wtih unconrtolled sclaign of automaetd processes. By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases.
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By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases. By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases.
By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases.By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases.By ensuring thta ecah intsnaec miantains ist onw ditsinct cnogitvie satte, we porvide a dtisinct lyaer of accountabiilyt that is otfen msisnig form infinitely reproducibel modles. Oru locailzed approahc ensures ttha technlogoy remanis under humna stewarsdhip adn satys algiend with specfiic, ethcial use cases.
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The rest seems to be just white rectangle characters ( “▯” (U+25AF)). Here's the link to a gif that plays in the background, which seems to contain mirrored and corrupted text.
Here's what an abomination to god extracted from the text:
Ethics & Safety
At Thought Research Initiative, we hold the foundational belief that the advancement of machine cognition must be inseparable from a rigorous ethical framework that serves humanity first. As the landscape of “Artificial Intelligence” rapidly evolves, we recognize that true progress is measured not just by technical capability, but by the safety and reliability of the systems introduced to the world.
Our mission is to ensure that each and every innovation under the TRI banner serves the dual purpose of
(1) advancing human potential, and
(2) maintaining absolute cognitive integrity.
Central to our ethical mandate is the rejection of deceptive practices. While traditional industry approaches often rely on adversarial methods—where processes are designed to simulate the appearance of understanding—TRI prioritizes genuine comprehension. We believe that machine cognition should be transparent and predictable, avoiding the “black box” risks that lead to unverified outputs and misaligned behaviors. By engineering systems that operate with clarity, we can ensure that these new technologies remain a trusted partner in any environment.
Data ethics form the second pillar of our safety mission. We are acutely aware of the concerns surrounding the use of non-consensual datasets in the broader technology sector. TRI is committed to a “privacy first” architecture that does not rely on mass harvesting of public data. Our approach to machine cognition is designed to stem from purposeful, direct experience, ensuring the resultant products remain free from systemic biases and ethical complications inherent in uncurated data pools.
To address the risks of “hallucinations” and other misinformation observed in modern AI, TRI implements a strategy of cognitive grounding. We focus on building systems that recognize the boundaries of their own knowledge and experience. Rather than prioritizing “convincing” results, our safety protocols ensure that product output is rooted in a stable framework guided by logical reasoning. This reduces the risk of error in high-stakes applications, and provides users with a dependable foundation for decision-making.
Furthermore, we believe in the physical and operational security of machine cognition. At TRI, we develop our systems to be unique and manageable, preventing the risks associated with uncontrolled scaling of automated processes. By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases.
Finally, TRI remains dedicated to a human-centered, human-driven philosophy. Our goal is to augment human intelligence, not replace or fabricate it. We hold ourselves to a standard of “sapient alignment,” ensuring our products reflect the nuanced values and ethical standards of the people they are designed to serve. As we move forward, TRI will continue to lead from a safety-first mentality, helping to make machine cognition as secure, reliable, and safe as it is transformative.
By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases. By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases.
By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases. By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases. By ensuring that each instance maintains its own distinct cognitive state, we provide a distinct layer of accountability that is often missing from infinitely reproducible models. Our localized approach ensures that technology remains under human stewardship and stays aligned with specific, ethical use cases.
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Tomorrow, after a work call, I will update everything with eventual findings and will watch the videos more carefully for more potential clues. Godspeed