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Democrats Need to be Harder
Graham Platner—Democrat running for U.S. Senate in Maine—isn’t asking, he’s telling. The Supreme Court is a corrupt, far-right partisan weapon, and both Alito and Thomas need to be impeached.
Real Republicans, Democrats, and independents who actually give a damn about democracy: you’re either fighting this fascist takeover or you’re on the wrong side of history.
The Trump party chose their side. We the people choose ours. Period.
The Secret IRS Files: Trove of Never-Before-Seen Records Reveal How the Wealthiest Avoid Income Tax
billionaires like Jeff Bezos, Elon Musk and Warren Buffett pay little in income tax compared to their massive wealth — sometimes, even nothing.
AI
When Thinking Becomes a Commodity
Adam Zmarz @AZiHeron
A time will come when we’ll look at AI and wonder why we were so desperate to outsource our imagination and creativity to a dead thing. AI reasoning vs intuition, reasoning (weight of one vs the other) is most accurate but “intuition”- this is where spirit resides in timeless state- not capable in algorithmic deciphering.
Yann LeCun @ylecun
Professor at NYU & Executive Chairman at AMI Labs.
Ex-Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
POSTED Ed Elson @edels0n May 26
I read all 277 pages of SpaceX’s IPO filing so you don’t have to.
Losses up 700%. Revenue decelerating. 107x price-to-sales multiple.
It’s a trainwreck. Full breakdown below
SpaceX-stasy This IPO is a trainwreck
In a few weeks’ time, Elon Musk’s SpaceX will go public. The IPO has been described as a “once-in-a-generation market event,” and for good reason: At a roughly $2 trillion valuation, it will be the largest IPO in history.
https://x.com/edels0n/status/2059273253131350255
AI Origins and Utility Explained
Massive bombshell. Anthropic co-founder Chris Olah warns that AI will displace human labor on a catastrophic global scale. He confirms tech elites have absolutely no mechanism to share the wealth, leaving the global poor completely abandoned to suffer. He is 100% accurate.
https://x.com/charise_lee/status/2059625837213954117
Great Way To Explain AI
https://x.com/charise_lee/status/2059625837213954117
SAM ALTMAN: “WE SEE A FUTURE WHERE INTELLIGENCE IS A UTILITY, LIKE ELECTRICITY OR WATER, AND PEOPLE BUY IT FROM US ON A METER.”
video https://x.com/Vivek4real_/status/2059058179955380493
Why this should terrify you:
Right now knowledge is still somewhat free. Libraries. Google. Wikipedia.
His vision:
Thinking becomes a commodity
Owned by one private company
Gatekept behind a paywall
Poor people get dumb AI
Rich people get smart AI
Sam Altman: “Intelligence will be a utility. Like electricity or water. You’ll buy it from us on a meter.”
Translation: Pay-per-think.
Every query. Every answer. Every idea. Meter running.
Electricity powers your home. Water keeps you alive. Intelligence? They want to own that too.
Welcome to the subscription economy for your brain.
ESSAYS
M.A. Rothman
@MichaelARothman
https://x.com/MichaelARothman/status/2059331212775506259/photo/1
In December 2020, Google fired . , the co-lead of its Ethical AI team, because she refused to retract a 14-page paper called . The paper had not even been published yet. , saying the company’s version of the story — that she had resigned — was a lie.
Five years later, every prediction inside that paper has come true.
Hallucinations. The paper argued that large language models trained on internet-scale scrapes would produce systems that sounded fluent but had no actual understanding — statistical parrots that would fool both users and developers into trusting outputs that were structurally incapable of being reliable. The hallucination problem now defines the industry.
Bias amplification. The paper predicted hiring tools that would discriminate against women, healthcare triage that would underperform on Black patients, and lending algorithms that would entrench inequality while presenting their decisions as neutral. Every one has now been documented. Amazon’s hiring algorithm penalized resumes that mentioned the word “”. Apple Card’s credit algorithm gave wives credit lines 10x lower than their husbands at the same financial profile.
Environmental cost. In 2024, Google’s emissions were up 48% from 2019; Microsoft’s up 29%. Both companies blamed AI infrastructure and quietly walked away from climate commitments they were celebrating the year Gebru was fired.
Undocumentable datasets. The paper said the training data was already too large for anyone to audit. In 2023, researchers found that LAION-5B — used to train Stable Diffusion — contained thousands of images of child sexual abuse material. The companies training on it had no way of knowing.
Model collapse. The paper predicted that AI-generated content fed back into training would degrade languages and centralize cultural power in the small number of firms that could afford to train. A 2024 study found that 57% of new English-language web content is now AI-generated or AI-assisted.
The deeper point of her work is the one the industry refuses to quote. , , . Anyone who raised safety or ethics concerns inside the system was ignored, sidelined, or removed. Gebru was making that argument from inside Google. Then Google proved her right by removing her.
Margaret Mitchell, the other co-lead of Ethical AI, was fired two months later for searching her own email for evidence of how Gebru had been treated. The Ethical AI team was dismantled in 90 days.
Gebru founded ( ) in 2021 to do AI research outside the control of the companies that have a financial interest in not hearing the answers. The number of researchers willing to speak publicly about safety inside the major labs collapsed after her firing and has not recovered.
Alex Prompter @alex_prompter
Let me trace the timeline here because nobody’s connecting it.
Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying.
Step 2: Train a model on all of it. Call it “artificial intelligence.”
Step 3: Go to BlackRock’s Infrastructure Summit and announce: “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”
Step 3 is where you sell people’s own knowledge back to them. On a meter.
They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created.
One Reddit user put it perfectly: “They stole all this data from us, the people, our life’s work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility.”
Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies.
That’s the metered intelligence business model.
And they’re pitching it to infrastructure investors as though they invented water.
Dave W @dmweisberger May 25
Another great example of America’s orchestrated decline from political and corporate greed. The common thread, corporate donors influencing policy. This case (undisclosed cellulose as ingredients in “Parmesan cheese”) is actually relatively benign, compared to literally HUNDREDS of European BANNED substances allowed in American food. Whether Glyphosate in farming, potassium Bromide and titanium dioxide in flour, or many emulsifiers in dairy, there are all manner of POISONS in our food. The cause: a requirement to PROVE harm before banning additives. Yet? With no INDEPENDENT funding for such research, food companies can self certify… It’s like having chemical companies having the right to tell the EPA “don’t worry about that waste, it’s not toxic, TRUST US”… The only way to fix the food supply is to ban all additives, pesticides, herbicides, etc, banned in Europe, unless independent research proves them to be SAFE. Please
BITCOIN
The Fed History lesson why Bitcoin is the answer
https://www.youtube.com/watch?v=gozj4cMjduc
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