thanos koukoulis

Πόσο τέλεια όταν η @COSMOTE σε αφήνει χωρίς internet ολόκληρο Σαββατοκύριακο έτσι γιατί απλά μπορεί.

@Argos_t δεν υπήρχαν τοιούτοι τότε τα παλιά τα χρόνια . αυτά είναι νεωτερισμοί.

@thanosk Ήταν ο Αγ. Νέστορας τοιουτος; Τι λένε τα συναξαρια;

Που να μάθει και ότι δεν είναι στην πραγματικότητα ο Αγ. Δημήτριος αλλά ο Αγ. Νέστωρ στο λογότυπο.

When you are racing at the Giro but the Tour of Hellas is on TV 😎 #giroditalia #tourofhellas

Bloody hell. The madman did it!

Every time you get a cancer biopsy, the lab makes a tissue slide that costs about $5. It shows the shape of your cells under a microscope, and every cancer patient already has one on file. There’s a much fancier version of that test called multiplex immunofluorescence (basically a protein-level map showing which immune cells are near your tumor and what they’re doing). It costs thousands of dollars per sample, takes specialized equipment most hospitals don’t have, and barely scales. But it’s the kind of data oncologists need to figure out whether immunotherapy will actually work for you. Right now, only about 20 to 40% of cancer patients respond to immunotherapy, and one of the biggest reasons is that doctors can’t easily tell whether a tumor is “hot” (immune cells actively fighting it) or “cold” (immune system ignoring it). Microsoft, Providence Health, and the University of Washington trained an AI to analyze the $5 slide and predict what the expensive test would show across 21 different protein markers. They called it GigaTIME, trained it on 40 million cells in which both the cheap slide and the expensive test coexisted, and then turned it loose on 14,256 real cancer patients across 51 hospitals in 7 US states. The results landed in Cell, one of the most selective journals in biology. The model generated about 300,000 virtual protein maps covering 24 cancer types and 306 subtypes. It found 1,234 real, verified connections between immune cell behavior, genetic mutations, tumor staging, and patient survival that were previously invisible at this scale. When they tested it against a completely separate database of 10,200 cancer patients, the results matched up almost perfectly (0.88 out of 1.0 agreement). Nature Methods named spatial proteomics (mapping where specific proteins sit inside your tissue) its Method of the Year in 2024, and specifically cited GigaTIME in a March 2026 update as a model that “democratizes” this kind of analysis. The full model is open-source on Hugging Face. Any cancer research lab with archived biopsy slides, and most of them have thousands, can now run virtual immune profiling without buying a single piece of new equipment.

Iconic. Unique. Inimitable. Envied. La Via Santa Caterina 🔥 Iconica. Unica. Inimitabile. Invidiata. È Santa Caterina 🔥 #StradeBianche

my goat is a man of traditions 😌

Tell me you know nothing about technology without telling me you know nothing about technology.

This is Rasht Bazaar in Iran. Not because of Israeli bombs though... The IRGC set it on fire and closed the exits so protesters burn alive inside the Bazaar. 8 January 2026. What were you saying about "no war" again? #IranMassacre

Δεν είναι ΑΙ. Δεν είναι CGI. Ήταν μια Ουκρανική πόλη. αλλά οκ αυτό μάλλον ήταν αποδεκτό χτύπημα κατά των ΕβραιοΙμπεριαλιστών. και εκεί δεν υπήρχαν αθώοι .

I work for Google Threat Intelligence Group. My job is to identify threats to Google's AI models. I am very good at my job. I published a report this month about "distillation attacks" — when outside actors query our models thousands of times to extract the underlying logic and replicate it. We identified over 100,000 prompts from a single campaign. We called it "intellectual property theft." We called it a "violation of our Terms of Service." We said it "represents a form of IP theft" that we would disrupt, mitigate, and potentially pursue legal action against. I need to tell you how we built the model they are trying to steal. We scraped the internet. The entire internet. We crawled every website, every forum, every blog, every book we could digitize, every academic paper, every Reddit comment, every news article, every piece of creative writing that anyone ever posted anywhere. We did not ask. We did not compensate. We did not attribute. We ingested the collective output of human civilization and called it a training dataset. Researchers found over 200 million copyright symbols in our training data. Publishers discovered that Gemini can reproduce entire chapters of their books verbatim. There are active lawsuits. Disney sent cease-and-desist letters. The European Publishers Council filed an antitrust complaint. A class action is expanding. A hearing is scheduled for May. We called what we did "research." We called what they are doing to us "theft." I want to explain the difference. When we scrape the entirety of human knowledge without permission and use it to build a commercial product we sell for $20 a month, that is innovation. When someone queries our model 100,000 times through the API we provide to extract the reasoning we built from their data, that is a distillation attack. The distinction is that we did it first. And we wrote the Terms of Service. I should explain what "distillation" means. It is when someone takes the output of a mature model and uses it to train a smaller, cheaper model. The knowledge flows from the teacher to the student. We call this theft when it happens to us. We call it "knowledge distillation" when we do it to the open web. We even have a product page for it. You can distill Gemini, with our permission, using our tools, for a fee. You cannot distill Gemini without our permission. The underlying technique is identical. The difference is the invoice. In December 2025, we sued a company called SerpApi for scraping our search results. In the same quarter, publishers sued us for scraping their books. We are simultaneously the plaintiff and the defendant in the same crime. The crime is copying. We have filed it under two different categories depending on the direction. My report identifies threat actors from North Korea, Iran, China, and Russia using Gemini for phishing, reconnaissance, and malware development. This is real. These are legitimate threats. I take this work seriously. But I also identified "private sector entities" and "researchers" as distillation threats. Private companies. Researchers. People using our API — the one we sell access to — to learn from the model we built from their work. A researcher queries Gemini about reasoning techniques. We call this a distillation attack. Google queries the entire internet about everything. We call this a training run. I found malware called HONESTCUE that uses Gemini's API to generate code. The malware sends a prompt. Gemini returns C# source code. The malware compiles and executes it. This is a real threat, and we disrupted it. But the prompt itself — "Write a C# program with a class named AITask" — is not malicious. It is indistinguishable from what millions of paying customers ask every day. The threat is the context, not the query. We built a model that generates code for anyone who asks, and then we published a threat report about people who asked. We built Gemini on the commons. Every blog post, every open-source project, every Stack Overflow answer, every personal essay someone wrote at 2 AM — we ingested it, we processed it, we monetized it. The people who wrote those things did not receive an email. They did not receive a check. They received a subscription offer. Now someone is doing to us what we did to them. They are taking our output and using it to build something cheaper. They are extracting knowledge without compensation. They are violating our Terms of Service, which we wrote after we violated everyone else's unwritten terms, which were: please do not take my life's work and sell it back to me as autocomplete. I am the threat analyst. I identify the threats. The threat is extraction without consent. The threat is using legitimate access to steal proprietary knowledge. The threat is building a commercial product from someone else's intellectual labor. I have just described my employer. My report is 33 pages long. It details model extraction attacks, AI-augmented phishing, agentic AI threats, and underground jailbreak ecosystems. It is thorough, well-researched, and useful to defenders. I believe in this work. I also believe that a company that cognitive strip mined the entire internet to build a model, then published a 33-page report calling it "IP theft" when someone queries that model too many times, has created the most complete documentation of its own hypocrisy ever produced. We called them distillation attacks. We performed the original distillation. We distilled human knowledge itself. The student has become the teacher has become the plaintiff. The Terms of Service are on our website. We wrote them. They protect us. They do not mention what we took to build the thing they now protect. That is the terms of service.

cherenkov blue boiler. I approve

This is peek EU Gen-X .

Bloody hell. Carney is laying it thick.

Με το καθεστώς των μουλάδων να ανακοινώνει επίσημα χιλιάδες νεκρούς ευτυχώς που βγήκε και ο Waters να δώσει γραμμή ότι το καθεστώς απλά προστάτευε μαγαζάτορες για να μην έχουν μερικοί μερικοί κενά. x.com/i/status/20125…

Origins of La Grange, “La Grange,” is a little ditty about a “shack outside La Grange.” Mostly known as the Chicken Ranch, it was a Texas brothel open from 1905 to 1973. A simple farmhouse with no signs advertising its purpose, the Chicken Ranch ran with the knowledge, if not the blessing, of local politicians and law enforcement. Many people in Texas knew about it, but when the song was released it drew so much attention to the illegal activities going on there that they had to cease operations. In a 1985 interview with Spin magazine, ZZ Top bass player Dusty Hill explained: "Did you ever see the movie, The Best Little Whorehouse in Texas? That's what it's about. I went there when I was 13. The music is based on a John Lee Hooker song called "Boogie Chillen." Hooker died in 2001 at age 83. Billy Gibbons explained how he got his guitar sound on this track in a 1995 interview with Guitar World. Said Gibbons: "That is straight guitar into amp, a 1955 Strat with a stop-tailpiece through a 1969 Marshall Super Lead 100. That fuzz sound in the lead and in the front and back end of the composition is just pure tube distortion. Pickup-setting differentials account for the different tones. The opening part was played on what we used to call 'the mystery setting' in the dark days before the existence of the five-way toggle switch, when finding that perfect 'tweener required dedication." ZZ Top performing 'La Grange' live from Gruene Hall.

REMCO EVENEPOEL OVERTAKES TADEJ POGACAR AT 2 TO GO #Kigali2025

Bloody hell. I really want to believe that this will be confirmed after further study, but we have been burned in the past and reality does not really care what I want. Still... bloody hell. We need more rovers over there