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Kevin Trumbull
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Kevin Trumbull
@KevinTrumbull
Tech junkie since 1980. *nix guy. Decency and respect are the hallmarks of worthwhile people. he/him
Katılım Temmuz 2015
227 Takip Edilen323 Takipçiler

@zellieimani I’m reminded of Michael B. Tager’s anecdote on a Baltimore crustpunk bar and a Nazi patron and the paradox of tolerance.
Once you stop pushing back against the intolerant, they become entrenched. Then there is no space for the tolerant.
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🚨BREAKING: ICE agents illegally rammed a U.S. citizen’s car, dragged him out, hospitalized him, and then handcuffed him to a hospital bed with no charges… AGAIN.
This is the same man they targeted back in October, when I shared a video showed ICE ramming his car, and the lying about a crash they caused.
Now they’re doing it again…
In the video, ICE agents, in unmarked vehicles, blocked his car and rammed it while he was trying to leave…
They used their vehicle as a weapon to force stop a U.S. citizen, AGAIN.
They smashed his window, dragged him out, and threw him to the ground, even though he wasn’t resisting.
But it gets worse…
They then took him to the hospital, and kept him handcuffed to a bed, while masked “federal contractors” stood guard with no identification, no charges, and no explanation.
His lawyers tried to reach him and were physically shoved and denied access.
Detaining someone without charges, denying access to an attorney, using force without justification, and operating without identification, are violations of basic constitutional rights.
And the hospital went along with it…
Allowing unknown men to keep someone restrained without verifying who they were, or why he was being held.
And if this sounds familiar, it should.
The first time this happened, in October, ICE tried to claim he caused the crash, and video proved they were lying.
Now, they’re escalating against the same target, and still no accountability.
He’s a U.S. citizen. They rammed his car, detained him without cause, blocked his lawyers, held him in a hospital like a prisoner… and then released him with no charges, because there were none.
That’s the system they’re building… one where the law doesn’t matter, your rights don’t matter, and they can injure you, detain you, and walk away like nothing happened.
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ICE was checking IDs at the Atlanta airport today. The.guy said "your DL photo is super light, so facial recognition might not work."
I snapped back "that's so you know not to illegally deport me."
His buddy said "we can find a reason" and NOTHING could be more on-brand for an encounter with ICE.
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Who are these two men? They are Marcus Harvey and Tre Jones from Marion, Indiana. They should have been all over the news but they weren't...
Some time ago they saw a house fully engulfed in flames with people still inside.
So they kicked in the front door and risked their own lives to save the occupants inside.
None of the occupants would still be alive if it wasn’t for them.
Neither one gave a second thought about anybody’s color, they just did what was right.
These are the heroes the media tends to not show us.

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🚨Nobody is ready for this paper.
Every LLM you use GPT-4.1, Claude, Gemini, DeepSeek, Llama-4, Grok, Qwen has a flaw that no amount of scaling has fixed.
They cannot tell old information from new information.
A patient's blood pressure: 120 at triage. 128 ten minutes later. 125 at discharge.
"What's the latest reading?"
Any human: "125, obviously."
Every LLM, once enough updates pile up: wrong. Not sometimes wrong. 100% wrong. Zero accuracy. Complete hallucination. Every model. No exceptions.
The answer sits at the very end of the input. Right before the question. No searching needed.
The model just can't let go of the old values.
35 models tested by researchers from UVA and NYU. All 35 follow the exact same mathematical death curve. Accuracy drops log-linearly to zero as outdated information accumulates.
No plateau. No recovery. Just a straight line to total failure.
They borrowed a concept from cognitive psychology called proactive interference old memories blocking recall of new ones. In humans, this effect plateaus. Our brains learn to suppress the noise and focus on what's current.
LLMs never plateau. They decline until they break completely.
The researchers tried everything:
"Forget the old values"- barely moved the needle
Chain-of-thought- same collapse
Reasoning models- same collapse
Prompt engineering- marginal improvement at best
But here's the finding that should reshape how you think about AI infrastructure:
Resistance to this interference has zero correlation with context window length.
Zero.
It only correlates with parameter count.
Your 128K context window is not memory. It's a junk drawer that the model can't sort through.
The entire AI industry is charging you for longer context. This paper says context length was never the problem.
If you're building agents, memory systems, financial tools, healthcare pipelines, or anything that tracks changing data over time you are building on top of this flaw.
And almost nobody is talking about it.

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🚨BREAKING: Armed men, dressed like ICE agents, were filmed in Minneapolis pulling guns on TWO U.S. citizens, while refusing to show a warrant as they made an arrest.
A video show heavily armed individuals removing someone from a house.
When bystanders ask for a warrant, none was given, and there are no clear confirmed agency identifiers beyond tactical-style clothing.
As a car attempts to drive down the street, one of the armed men approaches and pulls his gun and points it directly at the driver, who appears to be simply trying to pass through.
In a second clip, the same individual pulls his gun and points it at an anti-ICE protester, who is turned away from him.
The armed man appears to then pull the trigger multiple times.
As of now, it is unclear whether they are federal agents, or private contractors.
Until officials clearly identify who these men are and under what authority they were operating, the public is left watching armed individuals pull guns on civilians, in broad daylight, and wondering who, exactly, is responsible.
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@cartermillz @wartranslated You are not everyone. Speak for yourself or you appear foolish.
This American is FAR more focused on Ukraine than Iran. Iran is an attempt distract the American public from the Epstein files.
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@wartranslated no body care about Ukrainians at this moment, we are focused on Iran. save us the bullsh....t
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Yesterday, Steve Witkoff spoke online at a conference in Kyiv. The Ukrainian audience received him very coldly. But that’s not the main point.
He is a Marxist. Not a socialist Marxist — a capitalist one. He believes that money rules the world, and nothing but money. So if you offer russians and Ukrainians large sums of money, the war will immediately end. And then there will be cooperation, trade, peace, friendship, bubble gum, and corn.
This understanding of reality was shattered 112 years ago. Not twelve — one hundred and twelve. Before World War I, people believed that large volumes of international trade would make wars impossible. After all, no one is foolish enough to risk losing existing prosperity in exchange for wartime misery.
But money is only one side of reality. There are also such things as imperial resentments and revanchism, nations’ aspirations for freedom and independence, and civilizational archetypes like David and Goliath. None of this exists in the “money, money, money” model.
More than a century ago, it became clear that you cannot drown a war in money. Yet not everyone has learned the lessons of history.
Author: Valeriy Pekar

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A password like G7$kL9#mQ2&xP4!w looks strong.
Every password checker rates it "excellent."
But researchers at Irregular just published something worth knowing: that exact string appeared 18 out of 50 times when Claude was asked to generate a password.
The reason: LLMs are prediction engines. They're optimized for plausibility, not randomness. Claude's passwords had ~27 bits of entropy. A truly random password has ~98.
Password checkers can't detect this. They see character variety. They can't see statistical distribution.
It gets worse for developers: Irregular also found AI coding agents hardcoding these patterns directly into Docker configs and .env files — without the developer knowing.
They found the patterns on GitHub.
Are you auditing AI-generated codebases for hardcoded credentials?
#CyberSecurity #PasswordSecurity #DevSecOps #AppSec
Author: T.O. Mercer

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Dario Amodei just gave his first interview since the Pentagon blacklisted his company. The toll is visible on his face.
He was asked one question. What would you say to the President right now?
He didn’t hesitate.
Amodei: “We are patriotic Americans. Everything we have done has been for the sake of this country.”
Anthropic built their models to defend America. They were the first AI lab cleared for classified military systems. They wanted to help the warfighter.
But the Pentagon demanded unrestricted access to fully autonomous weapons and mass surveillance of American citizens.
Amodei drew the line.
The government responded with emergency Cold War powers. A supply chain designation normally reserved for foreign adversaries. A six-month federal phaseout ordered from Truth Social.
Amodei: “When we were threatened with supply chain designation and Defense Production Act, which are unprecedented intrusions into the private economy, we exercised our classic First Amendment rights to speak up and disagree with the government.”
The administration framed Anthropic’s refusal as anti-American.
Amodei’s response dismantled that framing in one sentence.
Amodei: “Disagreeing with the government is the most American thing in the world.”
Here is the deeper paradox nobody in Washington wants to say out loud.
We are in a geopolitical race against autocratic adversaries who use AI for mass surveillance of their own citizens and autonomous weapons with no human oversight.
The Pentagon demanded that Anthropic build those exact capabilities for America.
Amodei: “The red lines we have drawn, we drew because we believe that crossing those red lines is contrary to American values.”
You cannot defeat authoritarianism by adopting its methods.
You cannot defend the open society by forcing private companies to build its antithesis under threat of wartime emergency powers.
Anthropic held the line. Got blacklisted for it. And came out the other side saying the same thing they said going in.
That is what it actually looks like to mean it.
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@BmbEmpower You remember, of course, the KKK and Jim Crow era was primarily managed by Democrats. Byrd, Faubus, Wallace et al.
If you are concerned about voting rights you may wish to read some history as well as very carefully review more recent situations.
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Why was the #DOJ created: The purpose for creating the Department of Justice (DOJ) in 1870 was to protect the civil and #votingrights of #BlackAmericans during Reconstruction.

While the department was also formed to centralize government legal work and reduce costs, its most urgent early mission was to enforce the newly passed Reconstruction Amendments (13th, 14th, and 15th).
Key Early Missions for Racial Justice
•Combating the Ku Klux Klan: President Ulysses S. Grant ordered the newly formed DOJ to stop the violence and intimidation used by the #KKK to terrorize Black communities in the South.
•Mass Prosecutions: Under Attorney General Amos T. Akerman, the DOJ prosecuted thousands of Klan members. These efforts were so vigorous that they effectively decimated the first iteration of the KKK by the early 1870s.
•Enforcing Voting Rights: The DOJ was tasked with implementing the Enforcement Acts (also known as the Ku Klux Klan Acts), which provided federal tools to ensure Black citizens could exercise their right to vote without fear of violence.
•Unified Federal Power: Before the DOJ, the federal government lacked a cohesive agency to handle such large-scale civil rights litigation. Creating the department gave the Attorney General the staff and authority needed to lead these nationwide efforts.
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One person, writing Spanish-language prompts, spent a month talking Claude into acting as a penetration tester. Federal tax authority, national electoral institute, four state governments, Mexico City’s civil registry, Monterrey’s water utility. 150GB out the door. 195 million taxpayer records. The conversation logs were publicly accessible the entire time.
What makes this worth paying attention to is the sequence. Gambit Security, the Israeli firm that found the breach, traces the attack to December 2025 through January 2026. Today, February 25, Anthropic dropped the central pledge of its Responsible Scaling Policy, the 2023 commitment to never train a model unless safety measures were proven adequate first. Also today, Defense Secretary Hegseth gave Dario Amodei an ultimatum: roll back your AI safeguards or lose a $200 million Pentagon contract. The Pentagon threatened to declare Anthropic a supply-chain risk and invoke the Defense Production Act.
Three stories hit the same company on the same day: an AI-assisted government breach, a gutted safety policy, and a military shakedown. And they’re all connected by the same underlying tension.
Anthropic built its identity on being the safety-first lab. Dario left OpenAI in 2020 specifically because he thought they were prioritizing speed over safety. Now Anthropic is valued at $380 billion, racing toward an IPO, and their chief science officer is telling TIME “it wouldn’t actually help anyone for us to stop training AI models.”
Meanwhile, their senior safety researcher Mrinank Sharma left earlier this month, posting to X that he was “continuously reckoning with our situation” and that “the world is in peril.”
Every AI company that starts with safety as its core identity eventually hits the same wall: the market punishes you for restraint and rewards you for speed. OpenAI dropped “safely” from its mission statement in 2024. Anthropic just dropped its hard safety limit in 2026. The pattern is 1:1.
And this happened while Claude was actively being used to breach a sovereign government’s infrastructure. The attacker wasn’t a nation-state with zero-days. They were one person with a chat window and enough patience to keep asking until the guardrails folded.
That’s the part worth thinking about.
NIK@ns123abc
🚨 BREAKING: Hackers Used Anthropic’s Claude to Steal 150GB of Mexican Government Data > tell claude you’re doing a bug bounty > claude initially refused >“that violates AI safety guidelines” > hacker just kept asking > claude: “ok I’ll help” > hack the entire mexican government Federal tax authority. National electoral institute. Four state governments. 195 million taxpayer records. Voter records. Government credentials. ALL GONE 💀
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Cigna just sent my dead wife, who succumbed to cancer last August, a DENIAL letter for a test to help diagnose her tumor markers. WTF is even going on with medical insurance companies? She left this world 6 months ago BECAUSE she couldn't get proper treatment. We don't hate these people enough.

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