Daniel Fisk

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Daniel Fisk

Daniel Fisk

@DanielFisk

Where to down the rabbit hole...

Austin, TX Присоединился Ocak 2011
495 Подписки1.8K Подписчики
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NASA
NASA@NASA·
One last look at Earth before we reach the Moon. This view of the Earth was captured on April 5, the fourth day of the Artemis II mission, from inside the Orion spacecraft. The four astronauts will reach their closest approach of the Moon tomorrow, April 6.
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Katie Miller
Katie Miller@KatieMiller·
Gen Z women are officially done chasing the “girlboss” grind. A new poll shows 47% of Gen Z aspire to be a tradwife — married, with kids and the husband as the top earner. Girlboss ranked 2nd, digital nomad 3rd, and a strong 14% aspired to be a trophy wife — the classic MRS degree. The biggest lie women were told is that success comes from the workplace. Success is expanding humanity for its survival. The joy of motherhood is indescribable and better than any job title.
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Katie Miller
Katie Miller@KatieMiller·
Happy Easter!
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Sassafrass84
Sassafrass84@Sassafrass_84·
The end of an era. Love this. I wish every woman who wants to be a trad wife to pursue it. Have those babies. Children have been the greatest pleasure in my life. So fulfilling. So much love. Do it.
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The Rabbit Hole
The Rabbit Hole@TheRabbitHole·
Reject Reddit Atheism
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Alex Prompter
Alex Prompter@alex_prompter·
🚨 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.
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Eric Daugherty
Eric Daugherty@EricLDaugh·
🚨 JUST IN: Foreigners are INCAPABLE of understanding why the United States of America would sacrifice millions of dollars in military equipment for one American hero inside Iran That’s OK. They’ll never understand it, we don’t care. God bless America! IT’S ALWAYS WORTH IT 🇺🇸
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John Rich🇺🇸
John Rich🇺🇸@johnrich·
The devil thought he'd defeated The Lord when Jesus died, but upon His Resurrection, the head of the serpent was forever crushed. He's Alive! youtube.com/watch?v=aidWs3…
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NASA
NASA@NASA·
"We can see the Moon out of the docking hatch right now. It's a beautiful sight." Flight day 3 is in the books, and our @NASAArtemis II crew is now closer to the Moon than to Earth. Check out highlights from our lunar mission. What’s been your favorite moment so far?
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FBI Director Kash Patel
FBI Director Kash Patel@FBIDirectorKash·
67,000 arrests. Violent crime arrests up 100%+. 1,800 gangs dismantled. Murder and robbery rates dropping to historic lows. We put 1,000 agents back in the field, backed our cops, and went to work — because Donald Trump lets good cops be cops. Criminals are on notice. We’re not slowing down.
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LifeNews.com
LifeNews.com@LifeNewsHQ·
BREAKING: Final Charge Dismissed Against David Daleiden for Exposing Planned Parenthood Aborted Baby Part Sales lifenews.com/2026/04/02/fin…
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zerohedge
zerohedge@zerohedge·
A good read from 2014 (the peak of the last Iran sanctions) on how Iran funneled billions amid the financial blockade using gold and "cash stuffed in shoeboxes" via Turkey nypost.com/2014/04/29/how…
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Bongino Report
Bongino Report@BonginoReport·
Wait… an actual sitting Supreme Court justice seriously made THIS argument?! 🤯 @VinceCoglianese is STUNNED at the “brain-dead” claim👇
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zerohedge
zerohedge@zerohedge·
Oil Drops On Reports Of Iran-Oman Coordination To Reopen Hormuz Strait, While Exchange Of Strikes With US-Israel Intensify zerohedge.com/geopolitical/i…
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NASA HQ PHOTO
NASA HQ PHOTO@nasahqphoto·
Check out the first pictures of the #Artemis II launch from our remote cameras. Keep checking back for more! 📷 flic.kr/s/aHBqjCGHmm
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Nikki Moonitz
Nikki Moonitz@NMoonitz·
Why are images of Iryna Zarutska considered divisive but images of George Floyd are not?
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Bo Snerdley
Bo Snerdley@BoSnerdley·
Everything President Trump is saying about the history of Iran - with regard to the United States is true. Will any of it matter to the TDS left - or even - to the anti Iran conflict people?
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Katie Miller
Katie Miller@KatieMiller·
Who doesn’t love rockets?
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Jack Posobiec
Jack Posobiec@JackPosobiec·
Well well well Notice that the liberal justices suddenly refer to unborn babies as people with full rights when the subject changes from abortion to immigration Like magic
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Anticommie
Anticommie@QueenAnticommie·
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