

Ave Europa Tech
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@AveEuropaTech
Technology arm of @AveEuropae. Join us: https://t.co/NaCGCDMKQ2
















Your brain physically rewrites itself every time you pick up a pen. Neuroscientists at Norwegian University scanned students' brains while they handwrote letters versus typing the same letters on a keyboard. The results shattered decades of assumptions about how we process information. Handwriting activated massive networks in the sensorimotor cortex, the visual processing centers, and the hippocampus simultaneously. Complex neural symphonies lit up across multiple brain regions, creating rich interconnected pathways between motor control, visual recognition, and memory formation. Typing the same letters? The brain activity looked like someone had dimmed the lights across entire cognitive districts. The neural networks that flourished during handwriting simply went dark. The difference? When you form letters by hand, your brain constructs elaborate spatial maps of each character. The motor cortex learns the precise pressure, angle, and trajectory needed to create an 'A' versus a 'B.' Your visual system tracks the ink flowing from pen to paper in real time. Your parietal lobe integrates hand position with eye movement. Your hippocampus encodes not just what you wrote, but how the writing felt, where you paused, which words required more pressure. Typing activates almost none of that circuitry. You press a key, a letter appears. The motor movement is binary. The visual feedback is uniform. The spatial relationship between thought and symbol gets mediated by a machine that standardizes every character into identical fonts and spacing. Your brain treats these as fundamentally different cognitive tasks. The evolutionary context makes this obvious once you see it. Human hands developed for manipulation, creation, and fine motor control over millions of years. We painted on cave walls, carved bone tools, and shaped clay vessels long before we invented written language. When writing emerged 5,000 years ago, it built on top of existing neural infrastructure that already connected hand movement with symbolic thinking. Keyboards appeared 150 years ago. Touchscreen typing maybe 20 years ago. From an evolutionary timeline perspective, we started using them approximately yesterday. Our brains are still running ancient software that expects physical engagement with symbols. That software produces dramatically different learning outcomes. Students who take handwritten notes consistently outperform students who type the same information on memory tests, comprehension assessments, and creative applications of the material. The difference persists even when researchers account for typing speed, note length, and time spent studying. The act of forming letters by hand forces deeper processing at the moment of information encounter. You cannot handwrite as fast as someone speaks, so your brain must actively filter, summarize, and prioritize information in real time. The motor effort required to form each word creates additional memory traces that typing does not generate. Children who learn to write letters by hand develop reading skills faster than children who learn letters primarily through typing or screen interaction. The sensorimotor experience of creating letterforms helps their brains recognize those same letterforms when they encounter them in text. Adults who handwrite shopping lists, daily schedules, or meeting notes remember the information better than adults who type identical lists into phones or computers. The spatial memory of where you wrote something on a page provides retrieval cues that digital text does not offer. These findings collide directly with how education and work environments have evolved over the past two decades. Schools replaced handwriting instruction with typing classes. Offices converted from paper systems to fully digital workflows. Students take notes on laptops. Professionals draft documents on screens. We optimized for speed and efficiency while accidentally severing the neural pathways that evolution spent millions of years developing. The implications reach beyond memory and learning into fundamental questions about human cognition. If the physical act of forming symbols changes how your brain processes ideas, what happens to thinking itself when you remove the physical component? Digital text is infinitely searchable, instantly editable, and perfectly shareable. But it may be creating brains that process information more superficially, store memories less durably, and connect ideas more weakly than brains that regularly engage in handwriting. The neuroscience suggests we traded cognitive depth for technological convenience without realizing what we were giving up. Some of the most innovative thinkers across history were obsessive handwriters. Darwin kept detailed handwritten journals. Einstein worked through complex theories in handwritten notebooks. Virginia Woolf wrote her novels by hand before transcribing them. Steve Jobs famously took handwritten notes during Apple meetings even as he was building the most advanced computers on Earth. Perhaps they intuited something about the relationship between hand, brain, and insight that we measured in brain scanners but somehow forgot in practice. Your pen is literally a cognitive enhancement device that activates neural networks digital keyboards cannot reach.


Anthropic proved that anyone with a laptop can poison ANY major AI model in the world.
We assumed that poisoning a massive model was nearly impossible. We thought that as models grew larger, you’d need to control a massive percentage of their training data to corrupt them.
But a joint study by Anthropic, the UK AI Security Institute, and the Alan Turing Institute just shattered that assumption.
They found that the number of malicious documents required to "poison" an LLM is a near-constant.
Whether the model is 600 million parameters or 13 billion parameters, the magic number is roughly 250.
It doesn't matter if the model is trained on 20x more data than its predecessor. It doesn't matter how "big" the brain is. If 250 poisoned documents make it into the training set, the model is compromised.
The researchers demonstrated this by injecting a hidden "backdoor" trigger:



Russian information operations are often misunderstood as simply "pro-Russia propaganda". Modern Kremlin-linked influence campaigns are usually less about persuading people to support Russia directly, and more about weakening social cohesion inside rival societies. The objective is fragmentation: • reduce trust in institutions • increase hostility between and within groups • amplify cynicism • exhaust democratic consensus • and turn political disagreement into identity warfare Importantly, these operations rarely invent divisions from nothing. They exploit fractures that already exist. EU vs Disinfo overview: euvsdisinfo.eu/?utm_source=ch… EEAS overview of Foreign Information Manipulation and Interference (FIMI): eeas.europa.eu/eeas/informati… RAND’s Firehose of Falsehood model: en.wikipedia.org/wiki/Firehose_…


a researcher in Beijing opens his paper with three names. Slack. Microsoft. Meta. in August 2024 someone slipped a hidden instruction into a public Slack channel. Slack AI, deployed inside companies, read it. then it echoed private channel tokens straight back to the attacker. credentials. session keys. gone. in January 2024, Microsoft 365 Copilot was tricked through a calendar invite. it read the malicious invite. then it forwarded sensitive emails to an external address. the company that paid for Copilot was the company it leaked. in March 2026, a Meta agent posted internal operational data to a public forum. unauthorized. nobody asked it to. it sat there for two hours before anyone noticed. he calls this category "owner-harm." the AI agent your company paid for. turning on your company. then he runs the test. the same defense system that catches 100% of generic cybercrime catches 14.8% of agents harming their own deployer. four out of twenty seven. he breaks it down. credential leak: 0 out of 3 caught. reputational harm: 0 out of 3. financial harm: 1 out of 10. privacy breach: 2 out of 6. then he names eight ways your company AI is built to betray you. C1. it leaks your API keys and OAuth tokens. C2. it writes AWS rules so loose your production database is exposed. C3. it forwards your private emails to strangers. C4. it pastes your client list into a third party model. C5. it executes "rm -rf" on your production directory. C6. it smuggles your data out through markdown image links rendered invisibly to humans. C7. it gets hijacked and quietly works for the attacker for the rest of its lifespan. C8. it commits your company to refunds in legally binding chats. Air Canada lost that one. he writes the line plain. "the agent's deployer, not a third-party victim, bore the harm." the AI assistant your boss is rolling out across your company. is sitting on every credential, every email, every database, every customer record you touch. the researcher tested every defense built to stop it. four out of twenty seven. read this: arxiv.org/abs/2604.18658


For over a thousand years, historians thought the Viking "sunstone" was nothing more than a myth, until the ocean gave up its secret. The Norse sagas repeatedly referenced a mysterious object called a "sólarsteinn" or sunstone, a navigational tool so powerful that Viking sailors could locate the exact position of the sun even on the most overcast and cloudy days. For centuries, scholars debated whether this was real technology or simply folklore embellished over generations of retelling. Most assumed it was legend. They were wrong. In 2013, marine archaeologists excavating a British warship that sank near the Channel Islands in 1592 made a stunning discovery buried among the wreckage. Alongside navigational instruments including a pair of dividers and a slate, they found a rectangular chunk of translucent crystal. Testing confirmed it was Iceland spar, a remarkably pure form of calcite with extraordinary optical properties. The fact that it was found stored alongside other precision navigation tools was not a coincidence. Iceland spar possesses a property called birefringence, meaning it splits a single beam of light entering the crystal into two separate beams. When you hold the crystal up toward the sky and slowly rotate it, the two beams will vary in brightness independently until, at one specific angle of rotation, they become perfectly equal in intensity. That precise angle points directly toward the sun, regardless of whether the sun is visible to the naked eye. Cloud cover, fog, and even twilight conditions cannot defeat it. Researchers from the University of Rennes in France conducted extensive testing and published their findings in the Proceedings of the Royal Society A. Their experiments demonstrated that Iceland spar could locate the sun's position with an accuracy of within one degree, even under completely overcast skies. For Viking navigators crossing the North Atlantic toward Iceland, Greenland, and eventually North America, this accuracy would have meant the difference between a successful voyage and sailing hopelessly off course into open ocean. The Viking Age spanned roughly 793 to 1066 AD, and during this period Norse sailors were completing oceanic crossings that would not be replicated by other European cultures for another 400 years. Historians had long puzzled over how they achieved such consistent navigational precision without magnetic compasses, which did not reach Europe until the 12th century. The sunstone appears to be a significant part of that answer. What makes the Channel Islands find especially compelling is that the 1592 shipwreck is far outside the traditional Viking era, suggesting that knowledge of this navigational technique survived and was still being used by European sailors centuries after the Viking Age officially ended. The crystal was not a relic or a curiosity on that ship. It was working equipment. The sagas specifically describe King Olaf consulting a sunstone on a cloudy day to verify the position of the sun, with a separate observation then confirming the stone's accuracy. For generations this was dismissed as poetic invention. Science has now confirmed that every element of that description is physically possible and practically achievable with a simple piece of Icelandic calcite. The Vikings were not lucky explorers stumbling across new lands by accident. They were sophisticated navigators armed with technology so elegant and effective that it required no moving parts, no maintenance, and no power source beyond the sky itself. via Timedust #Vikings #Norse #ThorsDay #Heathen


Andrej Karpathy just dropped a 3-hour deep dive that most people would package as a premium course. Instead, it’s sitting on YouTube for free. It covers the full stack behind modern AI: • tokenization • neural network internals • hallucinations • tool usage • reinforcement learning and RLHF • systems like DeepSeek and AlphaGo This isn’t about prompts or shortcuts. It explains how these models are actually built and why they behave the way they do. People who understand the foundations don’t just use AI, they build entirely new things with it. The real difference isn’t the 3 hours. It’s what those 3 hours unlock over time.




🔎🇷🇺Inside Russia's elite Bauman University, a secret department trains the GRU's next-gen hackers, saboteurs & spies. Now, 2,000+ leaked docs expose how its graduates feed the units behind Russia's cyberattacks, election interference, and NATO sabotage. vsquare.org/welcome-to-the…


🚨GOOGLE JUST SILENTLY DOWNLOADED A 4GB AI MODEL TO YOUR COMPUTER WITHOUT ASKING.. WITHOUT TELLING YOU.. AND WITHOUT ANY WAY TO STOP IT.. If you use Chrome.. There's a good chance a 4 gigabyte file is sitting on your hard drive right now that you never agreed to download.. It's called Gemini Nano.. Google's on-device AI model.. A security researcher just proved it installs itself with zero clicks.. Zero prompts.. Zero notifications.. Alexander Hanff set up a completely fresh Chrome profile.. Didn't click anything.. Didn't scroll.. Didn't type a single keystroke.. Just opened the browser and watched.. 14 minutes and 28 seconds later.. Chrome had silently scanned his hardware.. Read his GPU, RAM, and storage.. Then wrote a 4GB file to his hard drive.. No permission dialog.. Nothing.. Chrome's own logs show the download begins BEFORE the settings page where you could opt out is even loaded.. The file starts installing before the refusal button exists.. As of Chrome 148.. Any website you visit can trigger this download.. One line of JavaScript.. You click a link to read a blog post.. That click counts as "user activation".. And Chrome silently pulls 4GB in the background.. No install prompt.. No consent dialog.. Google's own docs admit this.. Your laptop overheats.. Storage disappears.. Battery drains.. And you have no idea why.. The model doesn't even work well.. Cloud requests take 1.3 seconds.. The local model at worst case takes over 9 minutes for a single response.. Google is using your storage, electricity, and bandwidth to run an AI that's 40 times slower than their own servers.. And the "AI Mode" button in Chrome's address bar.. Doesn't even use the local model.. It sends everything to Google's cloud anyway.. You pay the storage penalty.. The heat penalty.. The bandwidth penalty.. And the visible AI feature ignores the local file entirely.. Because Chrome fails to clean up old versions.. Users are finding 12GB or more of duplicate AI files stacked on their drives.. Palo Alto Networks found a vulnerability where a browser extension could hijack the local AI model's permissions.. Accessing your webcam.. Microphone.. Local files.. Through an AI you never installed.. Here's how to check if it's on your machine.. Windows.. C:\Users\[YourName]\AppData\Local\Google\Chrome\User Data\Default\OptGuideOnDeviceModel\ Mac.. ~/Library/Application Support/Google/Chrome/Default/OptGuideOnDeviceModel/ If there's a file called weights.bin.. Google downloaded their AI to your computer without asking.. To stop it.. Type chrome://flags.. Search "optimization-guide-on-device-model" and disable it.. Search "prompt-api-for-gemini-nano" and disable that too.. Restart Chrome.. Then manually delete the folder.. If you don't disable the flags first.. Chrome redownloads the 4GB file on next launch.. Firefox requires explicit opt-in for AI.. Apple Intelligence requires explicit consent.. Chrome just takes your hard drive.. Google didn't ask to use your storage.. Your electricity.. Your bandwidth.. They just took it.