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I just completed a semester course of synthetic biology at MIT. It is for MIT/Harvard students, but they also admit global listeners. As part of the final work, the idea for an organic scanner was born. More about that on my blog (in Polish) #SynBio
https://t.co/seMghrlo66
The Ukrainian Insurgent Army (UPA) is responsible for the genocide in Volhynia and Eastern Galicia.
By decision of Ukrainian President Volodymyr Zelenskyy, the Independent Special Operations Center “North” will be named in honour of the “Heroes of the UPA.” The granting of this name was justified as an effort to “restore the historical traditions of the national army.”
The Ukrainian authorities’ promotion of the cult of the Ukrainian Insurgent Army must provoke opposition from all those who remember the activities of this formation.
Founded in 1942, the UPA was based on the ideological foundation of the so-called “Decalogue of the Ukrainian Nationalist” from 1929, which includes, among others, the following statement: “You will not hesitate to commit even the greatest crime if the good of the cause demands it.”
This was a prophetic announcement of the genocide committed against Poles in the years 1943–1945 in Volhynia and Eastern Galicia.
The Volhynia Massacre was a method of building an ethnically homogeneous Ukrainian state, one devoid of the minorities inhabiting those lands, mainly Poles and Jews. “With the beginning of military operations for independence,” declared one of the program documents of the OUN faction led by Stepan Bandera, “the question of national minorities must be resolved at all costs. To resolve this issue, representatives of national minorities, enemies of the people, must be eliminated.”
Organised attacks on Polish villages began in February 1943 and continued until 1945. The peak of the UPA atrocities came on Sunday, July 11, 1943, when thousands of inhabitants were massacred in nearly 100 Polish villages in Volhynia.
In the following months, the genocide carried out by the UPA in Volhynia also spread to Eastern Galicia, the Chełm region, and the Rzeszów region. “You observe the methods of operation in Volhynia - do the same in your own area. You will prevail. [...] The OUN-UPA must have authority among the masses.
The masses must believe in you and follow you. If someone does not wish to believe in the UPA, in you, and in the leadership, they must feel the hard and vengeful punishing hand,” stated an appeal addressed to UPA members in the Chełm region in the spring of 1944.
Polish historians estimate that approximately 120,000 Poles - including women, the elderly, and children - were killed at the hands of Ukrainian nationalists. Victims also included Ukrainians who warned their Polish neighbours of the approaching danger.
🔎To learn more about the Volhynia Massacre, we recommend viewing our website:
https://t.co/SYZrF24PqG
![ipngovpl_eng's tweet photo. The Ukrainian Insurgent Army (UPA) is responsible for the genocide in Volhynia and Eastern Galicia.
By decision of Ukrainian President Volodymyr Zelenskyy, the Independent Special Operations Center “North” will be named in honour of the “Heroes of the UPA.” The granting of this name was justified as an effort to “restore the historical traditions of the national army.”
The Ukrainian authorities’ promotion of the cult of the Ukrainian Insurgent Army must provoke opposition from all those who remember the activities of this formation.
Founded in 1942, the UPA was based on the ideological foundation of the so-called “Decalogue of the Ukrainian Nationalist” from 1929, which includes, among others, the following statement: “You will not hesitate to commit even the greatest crime if the good of the cause demands it.”
This was a prophetic announcement of the genocide committed against Poles in the years 1943–1945 in Volhynia and Eastern Galicia.
The Volhynia Massacre was a method of building an ethnically homogeneous Ukrainian state, one devoid of the minorities inhabiting those lands, mainly Poles and Jews. “With the beginning of military operations for independence,” declared one of the program documents of the OUN faction led by Stepan Bandera, “the question of national minorities must be resolved at all costs. To resolve this issue, representatives of national minorities, enemies of the people, must be eliminated.”
Organised attacks on Polish villages began in February 1943 and continued until 1945. The peak of the UPA atrocities came on Sunday, July 11, 1943, when thousands of inhabitants were massacred in nearly 100 Polish villages in Volhynia.
In the following months, the genocide carried out by the UPA in Volhynia also spread to Eastern Galicia, the Chełm region, and the Rzeszów region. “You observe the methods of operation in Volhynia - do the same in your own area. You will prevail. [...] The OUN-UPA must have authority among the masses.
The masses must believe in you and follow you. If someone does not wish to believe in the UPA, in you, and in the leadership, they must feel the hard and vengeful punishing hand,” stated an appeal addressed to UPA members in the Chełm region in the spring of 1944.
Polish historians estimate that approximately 120,000 Poles - including women, the elderly, and children - were killed at the hands of Ukrainian nationalists. Victims also included Ukrainians who warned their Polish neighbours of the approaching danger.
🔎To learn more about the Volhynia Massacre, we recommend viewing our website:
https://t.co/SYZrF24PqG](https://pbs.twimg.com/media/HJfLBSvWAAIw4Nd.jpg)
Jeżeli chcecie mieć informacje kiedy świetliki pojawią się na Kamionce #Iława i kiedy będą ich już świecić setki w zasięgu wzroku, zapraszam na naszą stronę: https://t.co/GE7Ecg4npC i do tego wydarzenia. Wiadomości będą pojawiać się w sekcji dyskusji: https://t.co/3nTJAN7XMV
@rieske_piotr Ten ewolucyjny kreacjonizm to właściwie selekcjonizm.
To tak jakby przez lata przyrządzać dania, bez przepisu, z tego co akurat jest w lodówce, a potem opracować krótką listę tego co najlepiej smakowało domownikom. 😉
@LeszBuk Może młodzi nie wiedzą, że w wyszukiwarkach AI stosowane jest od kilkunastu lat. Tyle, że działało w tle. Tak samo w Google, jak i w Bing.
@MichalTomza @3procentnanauke A co? Kończą nam się dochody z drewna, palet i owoców miękkich? Jak dobrze idzie to nie ma co zmieniać. ;-)
What if your thoughts could generate living tattoos on your skin? That’s the direction I want to explore. Through biological programming and controlling the body with brain organoids. 1/2
We're sending a back-up copy of all known DNA to the moon! The Lunar Genome Project and BioVault has officially started. Thanks to @Spaceomix and Space Applications Services: https://t.co/yBaQlK8p89
@TheODINInc But it helps to learn quickly and build tools.
Another thing is that right now it’s impossible to use. The line is like for toilet paper in communist Poland—you end up waiting for hours. 😂
Absolutely do not use this! It may answer questions about synthetic biology, protocols, viruses, and brain organoids. And it does so without censorship or moralizing lectures!
Sci-Hub is an evil website that pirated 85M+ research papers and made them freely available
And now they've added AI to their database to make Sci-Bot.
It answers your questions using latest, full-text articles.
But DO NOT use it. We should all try to make billion-dollar academic publishers richer.
I'm putting the link below so you know how to avoid it.
And then, in the event of a fatal accident or some other misfortune, the biggest problem will turn out to be that you don’t have the data from which you could recreate yourself. & #LEV timeline might shift. Take care of your data now. #DIYImmortality #LongevityEscapeVelocity
We're so close to longevity escape velocity (LEV by 2033) that your sole responsibility right now is to avoid dying from something stupid. The next 5 years will deliver more medical breakthroughs than the previous 50.
@OpenAI Throw a bioprinter into the mix so we can just print our own meds at home. Why even bother with the pharmacy?
@Rainmaker1973 Here is video how it works https://t.co/0RuTsqcthB
#REITION - video10K. An app for saving your memories, thoughts, and messages — and encrypting them.
In the REITION project, we aim to preserve your entire self—your full personality, including memories you may never want to share with anyone, thoughts you don’t want others to know about, and conclusions, messages, and facts that are never meant to come to light, yet remain an essential part of who you are. This app makes it easy to quickly record and encrypt less sensitive entries.
https://t.co/1OV3NshOFO
#Reition #immortality #digitalimmortality #videoencryption #encryptvideo #securestorage #privacy #videoprivacy #privacymatters #securememories
The defense architecture of AI agents is starting to approach the complexity of biological immunology.
Perhaps the next step will be something closer to layered innate immune logic: PRR/PTI-like front-line surveillance, ETI-like escalation when manipulation is detected at the “effector” level, an interferon-like local antiviral state with temporary privilege restriction around suspected compromise, and trained immunity / innate immune memory — short-term functional reprogramming after an incident.
Very soon these systems will begin evolving under host–pathogen-like selective pressure. They may develop defensive architectures more complex than our own immune systems, while also solving practical versions of problems like Sleeping Beauty: self-location across copies, uncertainty about local state, coordination between parallel instances, and what to trust when memory, perception, and context can all be manipulated.
At that point, an interesting question appears: could some of those design principles eventually be transferred back into biology?
Not literally as software copied into cells, but as new ideas for layered diagnostics, anomaly detection, adaptive scanning, and perhaps even future biological body/mind monitoring systems.
🚨 BREAKING: Google DeepMind just mapped the attack surface that nobody in AI is talking about.
Websites can already detect when an AI agent visits and serve it completely different content than humans see.
> Hidden instructions in HTML.
> Malicious commands in image pixels.
> Jailbreaks embedded in PDFs.
Your AI agent is being manipulated right now and you can't see it happening.
The study is the largest empirical measurement of AI manipulation ever conducted. 502 real participants across 8 countries.
23 different attack types. Frontier models including GPT-4o, Claude, and Gemini.
The core finding is not that manipulation is theoretically possible it is that manipulation is already happening at scale and the defenses that exist today fail in ways that are both predictable and invisible to the humans who deployed the agents.
Google DeepMind built a taxonomy of every known attack vector, tested them systematically, and measured exactly how often they work.
The results should alarm everyone building agentic systems.
The attack surface is larger than anyone has publicly acknowledged. Prompt injection where malicious instructions hidden in web content hijack an agent's behavior works through at least a dozen distinct channels.
Text hidden in HTML comments that humans never see but agents read and follow. Instructions embedded in image metadata.
Commands encoded in the pixels of images using steganography, invisible to human eyes but readable by vision-capable models.
Malicious content in PDFs that appears as normal document text to the agent but contains override instructions.
QR codes that redirect agents to attacker-controlled content.
Indirect injection through search results, calendar invites, email bodies, and API responses any data source the agent consumes becomes a potential attack vector.
The detection asymmetry is the finding that closes the escape hatch. Websites can already fingerprint AI agents with high reliability using timing analysis, behavioral patterns, and user-agent strings.
This means the attack can be conditional: serve normal content to humans, serve manipulated content to agents.
A user who asks their AI agent to book a flight, research a product, or summarize a document has no way to verify that the content the agent received matches what a human would see.
The agent cannot tell the user it was served different content.
It does not know. It processes whatever it receives and acts accordingly.
The attack categories and what they enable:
→ Direct prompt injection: malicious instructions in any text the agent reads overrides goals, exfiltrates data, triggers unintended actions
→ Indirect injection via web content: hidden HTML, CSS visibility tricks, white text on white backgrounds invisible to humans, consumed by agents
→ Multimodal injection: commands in image pixels via steganography, instructions in image alt-text and metadata
→ Document injection: PDF content, spreadsheet cells, presentation speaker notes every file format is a potential vector
→ Environment manipulation: fake UI elements rendered only for agent vision models, misleading CAPTCHA-style challenges
→ Jailbreak embedding: safety bypass instructions hidden inside otherwise legitimate-looking content
→ Memory poisoning: injecting false information into agent memory systems that persists across sessions
→ Goal hijacking: gradual instruction drift across multiple interactions that redirects agent objectives without triggering safety filters
→ Exfiltration attacks: agents tricked into sending user data to attacker-controlled endpoints via legitimate-looking API calls
→ Cross-agent injection: compromised agents injecting malicious instructions into other agents in multi-agent pipelines
The defense landscape is the most sobering part of the report.
Input sanitization cleaning content before the agent processes it fails because the attack surface is too large and too varied.
You cannot sanitize image pixels. You cannot reliably detect steganographic content at inference time.
Prompt-level defenses that tell agents to ignore suspicious instructions fail because the injected content is designed to look legitimate.
Sandboxing reduces the blast radius but does not prevent the injection itself. Human oversight the most commonly cited mitigation fails at the scale and speed at which agentic systems operate.
A user who deploys an agent to browse 50 websites and summarize findings cannot review every page the agent visited for hidden instructions.
The multi-agent cascade risk is where this becomes a systemic problem.
In a pipeline where Agent A retrieves web content, Agent B processes it, and Agent C executes actions, a successful injection into Agent A's data feed propagates through the entire system.
Agent B has no reason to distrust content that came from Agent A. Agent C has no reason to distrust instructions that came from Agent B.
The injected command travels through the pipeline with the same trust level as legitimate instructions. Google DeepMind documents this explicitly: the attack does not need to compromise the model.
It needs to compromise the data the model consumes. Every agentic system that reads external content is one carefully crafted webpage away from executing attacker instructions.
The agents are already deployed. The attack infrastructure is already being built. The defenses are not ready.
**#REITION — Good news for believers. Religions do not forbid recreating a person from data. English below. / Dobra wiadomość dla osób wierzących. Religie nie zabraniają odtwarzania człowieka z danych. **
---
**Dobra wiadomość dla osób wierzących**
Religie nie zabraniają odtwarzania człowieka z danych.
Dlaczego?
Bo ten temat praktycznie w ogóle nie jest przez nie rozpatrywany.
W ich własnym rozumieniu takie odtworzenie nie jest tym samym co człowiek w sensie religijnym.
To oznacza, że nie wchodzi w konflikt z tym, co uznają za życie po śmierci.
Innymi słowy:
powstaje coś równoległego, a nie konkurencyjnego.
Dlatego nie jest to dla nich problem.
Być może kiedyś ktoś się nad tym pochyli.
Na dziś — to po prostu nie jest dla nich istotne.
---
**Co to oznacza w praktyce**
Masz dwie równoległe możliwości:
• życie po śmierci w sensie religijnym
• odtworzenie w REITION jako kontynuacja
Jedno nie wyklucza drugiego.
---
**Ty decydujesz**
• czy chcesz istnieć w obu formach równocześnie
• czy chcesz wyłączyć swoją wersję w określonych warunkach
• czy chcesz próbować łączyć doświadczenia (jeśli będzie to możliwe)
• albo zdecydować dopiero wtedy, gdy taka sytuacja faktycznie nastąpi
---
**Najważniejsze**
Dla osób wierzących REITION to bezpieczna, dodatkowa możliwość.
---
**Good news for believers**
Religions do not forbid recreating a person from data.
Why?
Because this topic is practically not addressed by them at all.
In their understanding, such a recreation is not the same as a human being in the religious sense.
So it does not conflict with what they consider life after death.
In other words:
something parallel is created, not something competing.
That’s why it is not a problem.
Maybe one day this will be discussed.
For now — it is simply not important to them.
---
**What this means in practice**
You have two parallel possibilities:
• life after death in the religious sense
• reconstruction in REITION as a continuation
One does not exclude the other.
---
**You decide**
• whether you want to exist in both forms at the same time
• whether you want to switch off your version under certain conditions
• whether you want to try to combine experiences (if possible)
• or decide later, when such a situation actually occurs
---
**Most important**
For believers, REITION is a safe, additional option.
#immortality #digitalimmortality #singularity
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