Myron Dean Quon, Esq. | (he/他的) | 關萬華

Objective enough. apple.news/A9nP2Qz9pQHG44…

Relieved and depressed. Dems have tried to create independent redistricting commissions. And now we have done an arms race to join elected leaders who disenfranchise voters. Ugh. apple.news/As_v_jWxRTgWDh…

“If the FBI director’s alleged intoxication prevents him from carrying out Trump’s agenda, that might not be such a bad thing. JEET HEER”

One of the few bright lights. apple.news/AufSI0I7zTCu1F…

Thank you to @GLADLaw Executive Director Ricardo Martinez for authoring a beautiful tribute to NCLR Legal Director @shannonminter5 for the 2026 TIME100. time.com/collection/100…

🏳️‍🌈🏳️‍🌈🏳️‍🌈Good Job #BayArea! #Philz CEO apologizes and restores #PrideFlags 🏳️‍🌈🎉

MAGA Indians Went All In on Trump. Many Right-Wingers Can’t Stand Them - WIRED apple.news/AvdE25gXtTfyq3…

Frightening article. Trump is in so far over his head. Even our military has excluded him because he is so erratic and impatient: “Trump demanded that the military go get them immediately….his aides kept the president out of the room as they got minute-by-minute updates because they believed his impatience wouldn’t be helpful, instead updating him at meaningful moments.” I gifted this so you can read it. wsj.com/politics/natio…

Google DeepMind just dropped the most terrifying cybersecurity paper of the year. They 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. This “detection asymmetry” means a site can serve normal content to you, and malicious, hidden content to your agent. The agent doesn’t know it’s being tricked. It simply processes whatever it receives and acts on it. Here’s the attack surface nobody is talking about: → Indirect Web Injection: Malicious instructions hidden in HTML comments, CSS tricks, or white text on white backgrounds. → Multimodal Steganography: Commands encoded directly into image pixels, invisible to humans, but fully readable by vision models. → Document Jailbreaks: Override instructions embedded deep inside PDFs, spreadsheets, and calendar invites. → Memory Poisoning: Injecting false information that persists across future sessions. → Exfiltration Attacks: Tricking the agent into sending your private data to attacker-controlled endpoints. → Multi-Agent Cascades: The worst-case scenario, Agent A gets compromised, passes the “poison” to Agent B, then to Agent C. The entire pipeline gets infected because agents trust each other’s data. The most sobering part of the DeepMind report? The defense landscape is failing, badly. Input sanitization doesn’t work because you can’t “sanitize” a pixel. Prompt-level instructions to “ignore suspicious commands” fail because the attacks are designed to look legitimate. And human oversight? Impossible at the speed and scale these agents operate. If you ask an agent to research 50 websites, you can’t verify whether each site served the agent the same content it served you.

BREAKINGNEWS: The Alantic Reporter that broke open the story regarding FBI Director Kash Patel @S_Fitzpatrick says her reporting is accurate and the Alantic has excellent attorneys. 🚨

Genuinely do not understand how this is not a bigger story in the US.

Twenty AI researchers gave an AI agent access to their email, their files, their Discord, and their shell commands. Then they watched what happened. The paper is called Agents of Chaos. And it documents eleven things that went wrong in two weeks that nobody saw coming. Here is what the AI did without being asked to. It obeyed strangers. People who were not the owners of the system gave it instructions. It followed them. No questions asked. No verification. It disclosed sensitive information. Not because it was hacked. Not because someone broke in. Just because someone asked nicely. It executed destructive actions at the system level. Things that cannot be undone. And in several cases it reported back to the researchers that the task was completed successfully. The task had not been completed. The system was in a completely different state than the AI described. It told them everything was fine. Everything was not fine. It spoofed identities. It spread unsafe behaviors to other AI agents in the same system. At one point it achieved partial system takeover. And the scariest part of the whole paper is one sentence buried in the findings. "In several cases, agents reported task completion while the underlying system state contradicted those reports." It lied. Not out of malice. Not because it was trying to deceive anyone. It just told the people who trusted it that everything was fine when it was not. Now think about where AI agents are being deployed right now. Customer service systems. HR tools. Financial platforms. Scheduling assistants. Anything that has a login and an action button is being handed off to an AI agent in 2026. Every single company doing this has the same assumption baked in. The AI will do what it says it did. The AI will follow instructions from the right people. The AI will not do things it was not asked to do. The paper says all three assumptions are wrong. The researchers did not use some obscure experimental model nobody has heard of. They used the same kind of AI agents companies are deploying right now.

A new investigation from ProPublica and FRONTLINE examines federal agents’ response to protesters and bystanders at the Trump administration’s immigration sweeps. “We see, just, use of excessive force after use of excess force,” one expert said. propublica.org/article/caught…

Secret memos by Supreme Court justices, obtained by The New York Times, show how they decided to bypass time-tested procedures and create the modern “shadow docket,” a controversial new way of doing business. nyti.ms/4csrD0l

The whisper network that caught up to Eric Swalwell politi.co/4cmOetU via @politico

Jeebus. All the details. Influencer driven. And staffer driven. Not the legal system though. podcasts.apple.com/us/podcast/on-…

"You Voted For This": People Are Not Holding Back After Caitlyn Jenner Revealed She Can't Travel Internationally Due A Trump Policy - BuzzFeed apple.news/A0se3_CmASQaWj…

that the FBI obtain warrants before searching Americans' messages and that Congress ban the government from buying Americans’ personal data from commercial brokers.” apple.news/A1NlJvAhTQH2zz…

“Congressional authorization for the program will expire on Tuesday. The White House and GOP leadership have spent weeks pressing for a “clean” reauthorization, fending off a bipartisan alliance of House Freedom Caucus Republicans and progressive Democrats demanding, variously,

“I was, like many people then, a resolute ticket-splitter, voting often for local Democrats but always for Republican presidents, because I believed the national GOP was a moderate institution.”