The Finch of Moosehallow

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The Finch of Moosehallow

The Finch of Moosehallow

@MooseFinch

Building Open Source Tools Across AI, Psychology & Whatever Da Data Says. 🧪 Wizard 🧙‍♂️ Physics Based Reasoning Over Quick Dopamine ☺️ SAR ⛑️ Pipe Smoker

Berryville, VA Katılım Kasım 2025
459 Takip Edilen131 Takipçiler
Stamos916
Stamos916@Stamos916·
@elonmusk He's been sucking off the taxpayers teat his entire life..
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The Finch of Moosehallow
It's time.
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Devon Eriksen@Devon_Eriksen_

The distinction between engineering and magic is entirely a modern linguistic conceit. To the ancients, a wizard, a magus, a sorceror, was not a man who commanded forces outside the laws of nature. He was a man who commanded the forces of nature, by manipulating them through his understanding of natural law. But the modern word for a man who commands the universe by understanding its laws is "engineer". Yes, the ancient sorceror would try to commune with the spirits of the dead, or read the destiny of kings in the stars, or perform fertility rites to make the crops grow, but this wasn't some special supernatural discipline to him. This was simply his model of how the natural world worked. He would not have made a distinction between understanding heat and phase changes, and thereby distilling alcohol, and cutting out the intestines of a bird to predict the fortunes of a business venture. Both, to him, were philosophy and natural law. But as our understanding of the laws of physics grew more sophisticated, we gradually exiled the term "magic" to that which had not been proven to work, and to that which had been proven not to work. Were we given the opportunity to take an ancient Egyptian king on a tour of modern society, riding in an electric car, he would remark that we are a rich people, because we have many powerful magicians. Some of us might hasten to correct him, telling him that there is no magic used here. But he would not, in fact, be wrong.

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The Finch of Moosehallow
Turns out, fishing is not as easy as I remember when I was a kid. Who's got tips for a mage? I am on the Shenandoah river so mostly panfish, small mouth, & channel cats on my stretch.
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David Sinclair
David Sinclair@davidasinclair·
In the 2000s, our lab invented new terms, just so we could converse about the Information Theory of Aging: Epigenetic noise Epigenetic drift Exdifferentiation Redifferentiation The Observer… No one understood us. We couldn’t publish Crazy to see them being used widely now
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Lifespan@JoinLifespan

"The variance of the methyl-CpGs associated with age-accelerating factors was significantly reduced for the old compared to the young age-group, suggesting a contribution of the age-acceleration-associated CpGs to epigenetic drift"

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@ai_saboru_tech Yaaaassss, the algo slaps again! Howdy from the Shenandoah Valley in Virginia. I am a collector of perspectives & am curious, what do you think I should learn about your given culture? Looking forward to hearing from all of you ☺️
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こまさん
こまさん@ai_saboru_tech·
国際交流が盛んです!! 海外ニキ! アメリカ🇺🇸 韓国🇰🇷 イタリア🇮🇹 スペイン🇪🇸 ポルトガル🇵🇹 ブラジル🇧🇷 交流したい人はここに集まってください!
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사진찍는미어캣@Meerkat_Photo

@ai_saboru_tech 한국도 비가오네요!! 화이팅!

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Aaron Bowen
Aaron Bowen@abowenwk·
It's now convenient for him. x.com/i/status/20288…
Gary Marcus@GaryMarcus

At this point how can anybody take seriously @sama’s claim that “Working towards prosperity for everyone, empowering all people, and advancing science and technology are moral obligations for me”, when he seems ready to participate in mass surveillance, has ripped off countless creators without compensation, and is now fighting liability for his products even in the event of mass casualty events?

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Hedgie
Hedgie@HedgieMarkets·
🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks. The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people. ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher. My Take The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing. I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all. Hedgie🤗 nature.com/articles/d4158…
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A people problem, not an AI problem. Trash in, trash out. It does not matter how good AI is if one refuses to listen. Most folks can & are suffering from delusions on false or outdated data without the help of AI. Let's not blame & change everything but ourselves...
Hedgie@HedgieMarkets

🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks. The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people. ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher. My Take The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing. I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all. Hedgie🤗 nature.com/articles/d4158…

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The Finch of Moosehallow
@gatorgar Yasss! I have never been to Japan beyond layovers but I have cooked many of fish this way & it is well worth it! Bring salt & onions 😋
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The Finch of Moosehallow
This is twisted word play not designed to make one think, but to make one confused. The question without the racist narrative is: if good came from a bad thing done to your ancestors, would you change it knowing how it turned out now? The follow up question is: how can we get the result without the extraction of another's value?
Bobby@RealBlackIrish

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The Finch of Moosehallow
Nowhere is this equation more literally life or death than in Search & Rescue. ⛑️ As a volunteer firefighter with swift-water rescue experience, who has worked ground SAR operations and spent the last six months building autonomous SAR drones, I’ve lived the physics in the field. A missing-person case is stochastic navigation through a brutally noisy potential landscape. The terrain is U(x). Last known point, victim profile, historical patterns, scent plumes, and terrain features (granitics, drainages, old mine shafts) create the probability gradients ∇U. Steep wells form around likely locations or lethal hazards but the whole map is flooded with diffusion D: changing river levels and turbulence in swift water, scent termination on open granite, FLIR washout in a red shirt against warm rock, time decay, searcher fatigue, incomplete telemetry. The noise term √(2D)dW is not theoretical but the difference between a live rescue and a body bag. The Dial diagnoses the regime instantly: • Positive R(s) → deep local minima. Teams get tunnel-visioned on the last-seen point while the subject has already been swept downstream or dropped into an undocumented 19th-century prospect shaft. • Negative R(s) → pure chaos. Everyone diffuses uselessly across vast noisy terrain with no coherent signal. • Critical/null R(s) ≈ 1 → the sweet spot where systematic coverage (drones, canine vectors, grid teams) still feels the real gradients and adapts the instant a new clue flips the basin. This is exactly why fluid dynamics from swift-water rescue mapped so cleanly onto network signal propagation and image reconstruction algorithms in my earlier career pivots. The invariants survive every frame change. Same math as protein folding & a recommendation engine trying to surface truth instead of bias... A firefighter, a protein, and the X algorithm really do walk into the same bar with one equation that governs them all! x.com/i/status/20309…
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💯 @elonmusk X’s algorithm is open source & perfect for real scrutiny instead of activist complaints that do nothing. My specific suggestion: Langevin’s Dial R(s) = ΔU/D — the single dimensionless ratio that instantly shows the regime of any stochastic system (including rec engines). Positive R → truth-seeking Negative R → noise & bias Null R → the critical edge where real freedom & stability live Full proof + simulations here, also open source! github.com/moosefinch/lan… Physics over politics, just turn the dial, not away from reality @EFF
Elon Musk@elonmusk

The 𝕏 algorithm is open source and updated frequently, but you do not point to any alleged bias or suggest corrections, choosing instead to leave for platforms that everyone knows have a strong bias for political correctness, which just another way of saying “lies”. You used to be about freedom and truth, but now you want to destroy freedom of speech and artificially suppress viewpoints that run contrary to the lunatic-left activism that drives your every action. Shame on you.

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