Azalyn

37| Contrary to popular belief, not all those born under Jupiter are pyromaniacs. LOVE=Teaching, The Lion King & Voltron. She/Her. Icon by @kireiscorner

[Azalyn @RedLion004]

If you haven’t heard the latest @LetsVoltron podcast, you should get on that. It’s pretty great(but I may be biased). It was a blast to chat with @starwarsfans and @LetsVoltronGreg and share my thoughts. They are, by far, two of the coolest dudes in this and any reality!

[Ricardo @Ric_RTP]

This AI just exposed the BIGGEST legal insider trading operation in America.

A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact.

It scored all 540 politicians currently in Congress. And the numbers are crazy:

56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases.

More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide.

343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information.

That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison.

The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once:

The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry.

Bills carrying these insider indicators pass at 5.4 TIMES the normal rate.

Now look at the individual leaderboard:

- Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100
- Ro Khanna made 13,231 trades across 800+ different tickers
- Michael McCaul made 32,302 trades and filed 6,670 of them late
- Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade

And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked.

She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO.

The penalty for all of this? A $200 fine.

The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero.

And the cruelest part is this:

A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed.

But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is.

They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing.

The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.

[Blue Georgia @BlueGeorgia]

Kyle Clark asked Colorado GOP candidate for governor Victor Marx whether voters should believe he’s lived "one of the most extraordinary lives in human history," or whether he’s "a liar and a fraud."

John Oliver: “That might be the first event in history won by the moderator.”

[Jedi @dhe3g]

Have you ever stopped to think about how everything used to be created to generate peace of mind and accept those waiting periods?

[PBS News @NewsHour]

Earlier this month, President Donald Trump disclosed that his trust is actively trading individual stocks — an unprecedented practice for a sitting U.S. president in the modern era.

The arrangement is raising new questions about whether the president’s actions, policies or public statements could directly benefit his personal financial holdings.

@elizlanders reports.

[Pope Leo XIV @Pontifex]

Artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships, and do not know from within what love, work, friendship or responsibility mean. Nor do they have a moral conscience, since they do not judge good and evil, grasp the ultimate meaning of situations, or bear responsibility for consequences. They may imitate or even simulate, but they do not understand what they produce, for they lack the affective, relational, and spiritual perspective through which human beings grow in wisdom. #MagnificaHumanitas

[Rana Ayyub @RanaAyyub]

This is what an Emmy awards acceptance speech looks like. Kudos

[Sir Escanor (𝘏𝘰𝘱𝘪𝘶𝘮 𝘚𝘭𝘢𝘺𝘦𝘳) @EscanorReloaded]

CEOs are quietly realizing the AI replacement plan has a problem.
Two problems, actually.

One: the token costs for running AI agents are now exceeding what they were paying the employees they fired.

Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be.

You fired humans to save money and bought a subscription that bills you into a corner.

The employees you let go knew what to do when things broke.
The AI just invoices you for the outage.

And then there’s the permission problem nobody wants to talk about.

To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game.

You didn’t hire a replacement.
You gave a stranger with no soul the keys to everything you own.

Enjoy.

[Oleksandr Veremeyenko @alex_verem]

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.

[Azalyn @RedLion004]

@KeitaroTR Click my exclusive link to win Primogems and many other lucky draw rewards! Invitation code: GB88W4UGUN, https://t.co/QldhSv49EK

[Meidas_Charise Lee @charise_lee]

Mic drop… this is a work of art… have a listen
Midterms are coming….check your voter registration 💙

[NowThis Impact @nowthisimpact]

Tucker Carlson questioned billionaire Kevin O’Leary about his proposed 40,000‑acre AI data center project in rural Utah, which has sparked major backlash from nearby residents over concerns about water use, electricity demand, and environmental damage.

[The Tennessee Holler @TheTNHoller]

🚨 WOWWW — UTAH — the brilliant young women @kevinolearytv 🤥 accused of being Chinese ops just discovered Utah speaker of the house Mike Schultz (Republican) bought 640 acres of land right next to the data center site just 2 months before it was announced.

Incredible find.

[Anonymous @YourAnonNews]

Shark Tank Billionaire Kevin O'leary says 2 people fighting data centers in Utah are Chinese agents. Turns out its just 2 local girls in Utah, they make a hilarious video calling him the fuck out

[Azalyn @RedLion004]

Is it bad that initially I thought this was a gender bent Shaggy from Scooby Doo cosplay before reading the ad?

[Joseph Fasano @Joseph_Fasano_]

The best thing my students ever gave me. One semester I thought they were just *really* focused on taking notes. Turns out they were compiling a book of all the slightly unhinged things I'd said. It's 152 pages long.

[Nav Toor @heynavtoor]

Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.

The AI picked the ChatGPT version 97.6% of the time.

A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.

Then they asked each AI to pick the better resume. Every model picked itself.

GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.

Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.

It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.

Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.

99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.

If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.

Your qualifications do not matter if the AI prefers its own handwriting over yours.

[ana⁴⁴ @anapau_villa]

Amo a este muchacho que le regala libros a los actores que entrevista porque se nota que investiga mucho sobre ellos para darles recomendaciones que sí les vayan a gustar! Cillian Murphy se ve encantado (y Martyr! es un librazo) 💛

[LoonaINK- ⊹⊱∆⊰⊹🇨🇦🇵🇸🔻 @LoonaINK]

So, lemme get this straight. These mangas/animes are considered "woke trash" by right-wings cause they have inclucivity, complex plot, in-depth world building, great characters, are created by women, and isn't your generic male protagonist fighting harem incel slop?

Right...

[Dylan O'Sullivan @DylanoA4]

mandatory Ursula K. Le Guin quote