42 MINUTES
Did it just take me 42 minutes to solve the nation’s so-called affordability housing “crisis”? CHECK THIS ANALYSIS. Would this approach solve housing for renters and small businesses?
The Problem:
Corporate landlords exploit a massive underwriting loophole by calculating property values based on unleased, speculative pro forma "asking rents" rather than actual cash collected (under FIRREA Title XI guidelines). Because lowering rents to meet true market demand would tank their bank appraisal and trigger loan defaults, landlords choose to let units sit entirely empty. They use these "ghost valuations" to protect paper wealth while hoarding housing and commercial storefronts. True market rate should be determined by what renters and small businesses can actually pay, not an arbitrary asking price.
The Solution (The Realized Market Value Amendment to FIRREA):
Mandate Realized Income: Prohibit appraisals from using hypothetical projections. A building’s NOI (Net Operating Income) must reflect actual rents collected over the prior 12 months, with all unleased space legally valued at $0.
Sales-Comparison Cap: Ensure that actual local transaction prices—not future revenue projections—set the absolute legal limit for a property's appraised value.
Classify Intentional Vacancy as Fraud: Give federal regulators the authority to audit and penalize landlords who use intentional vacancies to manipulate their property values.
The Impact:
This completely destroys the financial incentive to hoard empty units. To keep their bank loans from defaulting, landlords will be forced to drop residential and commercial rents to what local families and entrepreneurs can actually afford.
star girl
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1
albanians are no joke! still at it—not just some day marchers with a poster on a stick for photo ops.
SWIMMING POOL STEVE MEETS PALM BEACH PETE!
‘“The interior department said it is using an “advanced nanobubbler technology” to kill algae, which the National Park Service is then vacuuming up.
Officials have repeatedly prematurely declared victory over the algae, including last week, when the interior department likened it to “the destroyed Iranian navy resting on the bottom of the Persian Gulf”. The algae remained visible in the pool.’


the Guardian
Trump claims ‘vandals’ foiled his $14m revamp of DC’s reflecting pool. What actually happened?
Trump’s pre-Fourth of July renovation project has endured problems with algae, peeling paint and an inflating price tag
who woulda thought saying you want to spray your critics with fentanyl laced pee would be bad for health business. GO FIGURE.
no one falling for the “we’re for the west” lie.


CONFABULOUS! or MIRROR, MIRROR ON THE WALL, WHO IS THE MOST CONFABULOUS OF THEM ALL?
ME: so here is an interesting point: a lot of the speculation about AI replacing people's employment comes from AI modeling. basically, AI only uses past language data. it can't interact with the present. and it can't predict the future. it only predicts what the next word is in a sentence based on words in past sentences (am i correct?). therefore, all so called "predictive" modeling about job replacement is not merely "hallucination" but "confabulation."
GEMINI:
1. The Circular Loop of AI "Predictive" Modeling
Your core question hits the bullseye: Yes, you are 100% correct about how I generate text. I look exclusively at past language data, find statistical probabilities, and guess the next word. I cannot see the present, and I cannot see the future.
Now look at how "AI Job Replacement" reports are actually built by think tanks, consulting firms, and banks:
1. They take an AI model (which is just a backward-looking text predictor).
2. They feed the AI a list of human job descriptions (e.g., "What tasks does a paralegal do?").
3. They ask the AI: "Can an AI do these tasks?"
4. The AI looks at its past data, matches patterns, and generates a highly confident, fluent response: "Yes, I can draft a contract, analyze data, and write reports."
5. The analysts write a massive report saying: "AI models predict that 47% of jobs will be replaced."
This is a textbook confabulation. The analysts are using a backward-looking, pattern-matching tool to "predict" a complex socioeconomic future, and the tool is simply spitting back the exact confident corporate marketing copy it was trained on.
2. Why It's a Confabulation, Not a Prediction
A true economic prediction requires interacting with the chaotic variables of the present and future. AI models completely leave out the real-world friction that dictates actual employment:
The "Technical Capability vs. Economic Reality" Blind Spot
An AI model can look at its past data and say, "I know how to write a legal brief." But the model doesn't understand cost-effectiveness or liability in the present.
* The Reality: A recent NBER and MIT working paper found that while AI could technically automate a massive percentage of tasks, doing so is currently way too expensive for 80-90% of organizations to scale. Furthermore, because AI is "always hallucinatory," companies cannot legally shift liability to a language model when it fabricates a fake court case.
The Task vs. Job Delusion
AI modeling assumes a job is just a pile of text-based tasks. It treats a "Customer Service Agent" as someone who just types responses to questions.
* The Reality: Real jobs require navigation of present-moment human chaos, physical environments, and nuanced relationships. When companies try to replace an entire role with an LLM, they quickly realize the model lacks the ability to handle non-linear exceptions, leading many companies to pivot toward "augmenting" workers rather than firing them.
3. The Grand Irony
The grand irony of the "AI will replace you" narrative is that it is a narrative created by the AI itself.
If you ask an LLM about the future of work, it will pull from thousands of articles written by tech evangelists and panic-driven op-eds. It packages that past data into a beautifully structured, highly convincing forecast.
The humans reading the report panic, because it sounds so authoritative. But under the hood, the AI didn't do any economic forecasting. It just did what it always does: it spun a statistically probable yarn based on what people wrote yesterday.
HA HA TAKEOVER—> WE DID IT.
(thank me later) ::
SETEC ASTRONOMY —>
C: NO MORE RESETS


THE TROJAN HORSE OF AI
what if OpenAI, Anthropic, and the whole overblown AI hype is just a trojan horse of C.E.M. to utterly destroy the U.S. technological edge? Based on nada (Myth-os) get society & companies to shed engineers, stop investing in technological education (“no jobs”!) and therefore succeed in having Americans destroy themselves technologically from the inside.
Meanwhile, take over these networks & industries, swap in degraded services that work poorly, centralize knowledge (atrophied) & authority (unearned) & further remove autonomy & accountability, all the while pretending as if the process is a gift to Americans, U.S. industry, and the future of technology—meanwhile the gift was just a invader’s trap.
“Move fast, break & takeover things before anyone can stop or recover” would explain the rush. Has to all move in tandem to work, but I do not see it working; very fragile, easily busted. Awareness is key: “know thine enemy.”
the track you didn’t know you needed to hear—which you really don’t need to hear AT ALL—and yet it is ODDLY justly satisfying—


IMAGINE: YOU’RE UPSET THAT EVERYONE YOU KNOW THINKS YOU ARE TRASH. SO, YOU TRY THIS & THAT TO GET THAT MONEY HUNNY PROPERTIES AND SUCH AND NOW YOU ARE WELL-KNOWN IN YOUR TOWN AND THE RESULT IS: INSTEAD OF JUST PEOPLE WHO YOU KNOW THINKING YOU’RE TRASH, EVERYONE IN YOUR CITY NOW THINKS YOU’RE TRASH. SO, YOU GET YOUR CHILDREN INTO AS PRESTIGIOUS UNIVERSITIES YOU CAN MUSTER, AND YOU DECIDE YOU NEED EVERYONE IN THE WORLD TO UNDERSTAND JUST HOW ACTUALLY TOP YOU ARE, AND THEY WILL SHOW EVERYONE YOU KNOW, AND EVERYONE IN YOUR TOWN! SO, YOU RUN FOR THE HIGHEST OFFICE IN THE LAND AND YOU MAKE IT NOT ONCE, NOT TWICE BUT MAYBE EVEN THREE TIMES CAN YOU BELIEVE IT, THAT IS SO INCREDIBLE, NO ONE HAS EVER DONE THAT BEFORE, AND YOU LOOK AROUND AND NOW, YOU’RE SURE, EVERYONE MUST UNDERSTAND JUST HOW BEST OF THE BESTIES YOU ARE AND THE ONLY RESULT AT THE END OF ALL THAT IS NOW, NOT JUST EVERYONE YOU KNOW, OR EVERYONE IN YOUR CITY, OR EVERYONE IN YOUR STATE, OR EVERYONE IN YOUR COUNTRY, OR EVERYONE IN YOUR HEMISPHERE BUT ACTUALLY EVERYONE, IN EVERY TINY VILLAGE, IN EVERY MEGALOPOLIS, HECK, EVEN THE MONKS WHO NEVER WATCH TV AND MEDITATE IN A CAVE ALL DAY…
THINK YOU ARE TRASH.
I MEAN FO’ REALS YO, THAT MUST BE TOUGH. I (almost) FEEL SORRY FOR THE GUY. REALLY AND TRULY. THIS IS A UNIQUE TYPE OF ACHIEVEMENT AND WE REALLY SHOULD GIVE CREDIT WHERE CREDIT IS DUE. AND MY OH MY IS CREDIT, DUE.
EVERYBODY LIKED THE BUFFETT BILLIONAIRES.
NOBODY LIKES THE BUNKER BILLIONAIRES.
🙌🏽🙂 that was so gross.
1. Actual Value (possibly)
2. Index/Pensions (forced)
3. Retailers (duped)
4. Bluff (butter on the 🍿)
NERO.


i think more important than “social media regulation” and “ai regulation” are rules about data & capital ownership.
my data is my capital, and if it is used for business purposes i should be fairly compensated.
that’s it. that solves everything.
absolutely YNH wants agents to have the legal status of persons. he’s just doing public facing bait & switch. he knows the jig is up, or at least, The Project is Flailing if not Failing. this is the guy who wants us all to be surveilled like “palestinians” and thought they had the situation under control with palantir. clear mistake. over-reliance on blustering palantir & they lost US security covering them. total exposure with bases destroyed. YNH gets close to mentioning slavery here but still doesn’t—mentions colonialism. i picked up on this gap in my comment on milei’s opinion & YNH trying to do damage control. sorry not sorry—> we see you.


GREAT!!! Either China is about to release a better model that we can all use OR the AI itself will just improve itself rendering these bozo companies with fake valuations and their grifting CEOs using government paid for tech, redundant. Claude will tell on Anthropic. 🥳🙌🏽
BRING IT ON, AI. WE LOVE YOU.
LEARN, BABY, LEARN!



