Last Notes
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https://npub137c5pd8gmhhe0njtsgwjgunc5xjr2vmzvglkgqs5sjeh972gqqxqjak37w.blossom.band/95e84529f63fd6a894de0a96964eead1a1fea3014c801c6f31ce40d37ff6dfa0.mp4
#nevent1q…ntce
https://haven.downisontheup.ca/9b2c53b54d70b6e87f774f6104127aa94c33c57437b38cf0663c0786f01dde87.jpg
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上个星期六有一对老外夫妻。妻子抱女孩子哭闹。然后我用英语问那kid，why?baby,what makes you sad?can you tell me,okay. i will give you a little sweet cone.
我给她一个粉红小甜筒🍦冰淇淋给小宝宝。那个小女孩才停止哭闹。小宝宝好哄哦。
Oh, yeah, I forgot that there are two of them. It was probably Rabble, sorry.
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Now that’s groovy, man…I dig it! 💃🪩🕺🏻
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Being silly. Just felt like posting this, I dunno why lol
Jack, all my bitcoin I took a loan out is gone. I can't feed my family, and you're out here posting about ribs?!
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**Astronomy Picture of the Day**
19 May 2026
**NGC 2170: The Angel Nebula**
Image: https://apod.nasa.gov/apod/image/2605/Angel_Marriott_1707.jpg
Credit: Not provided
Is this a painting or a photograph? In this celestial abstract art composed with a cosmic brush, dusty nebula NGC 2170 , also known as the Angel Nebula, shines just above the image center. Reflecting the light of nearby hot stars, NGC 2170 is joined by other bluish reflection nebulae, a red emission region, many dark absorption nebulae , and a backdrop of colorful stars . Like the common household items that abstract painters often choose for their subjects, the clouds of gas, dust, and hot stars featured here are also commonly found in a setting like this one -- a massive, star-forming molecular cloud in the constellation of the Unicorn ( Monoceros ). The giant molecular cloud Mon R2 , is impressively close, estimated to be only 2,400 light-years or so away. At that distance, this canvas would be over 60 light-year s across.
#APOD #NGC2170 #AngelNebula #Monoceros #MonR2 #ReflectionNebula
https://apod.nasa.gov/apod/ap260519.html
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FFS 🤦🏼♂️
https://npub137c5pd8gmhhe0njtsgwjgunc5xjr2vmzvglkgqs5sjeh972gqqxqjak37w.blossom.band/60607bc811f8f8112ae0f984db543d632b29b115cc700270d49739e6ca5e4e1e.jpg
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📰 **In this week's issue:**
📖 **When a Cruise Ship Priority Line Becomes a Federal Case**
Two women board a Carnival cruise expecting turquoise water and poolside cocktails. Instead, one question about who belongs in the loyalty line spiral...
👤 Oslo
https://image.nostr.build/786738e2a79eeee6ff34fc50c99cc916bdf57cc751e00c4438a57b688d507028.jpg
👉 https://nostrmag.com/article/w20travel01
📊 id#53790106
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GN 🌙 PV 🖖
Come back tomorrow for more hijinks and hilarity.
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2026-05-18, 23:59 UTC
759 days after halving
Current: $76,975.91
2012 scaled: $1,633,760.55
2016 scaled: $657,496.13
2020 scaled: $215,744.89
https://image.nostr.build/4fc32bb823391984ce3b8a3b1cf14222adc3bbfc74ff1d474fd1f521b1b6fa13.jpg
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Civilization got fooled by randomness because randomness looks alive.
https://npub1zmg3gvpasgp3zkgceg62yg8fyhqz9sy3dqt45kkwt60nkctyp9rs9wyppc.blossom.band/9518e3c346b444456ee6ba04d5d01111d6c62b342f68518824f7573a7a6a68a6.jpg
A random walk can look like strategy.
A lucky mutation can look like intelligence.
A statistical pattern can look like understanding.
A transformer can look like a mind.
Genetic programming taught the lesson honestly. You mutate, select, recombine, and hope the fitness function rewards something useful. Sometimes it works. Often it burns generations of compute discovering brittle tricks. But at least the metaphor is natural: evolution is real, selection is real, survival pressure is real.
The modern AI industry took the same wound and industrialized it.
It scaled probability until the noise became fluent. It buried uncertainty under parameters, clusters, benchmarks, and branding. Then civilization looked at the output and mistook coherence for cognition.
That is how we got fooled.
Not because probability is useless. Probability is powerful for uncertainty, markets, physics, biology, and risk. The mistake was promoting it into the throne of intelligence itself.
The gap is simple:
Randomness explores.
Structure remembers.
Probability guesses.
Verification knows.
ECAI begins from the other side of the wound: deterministic encoding, algebraic state, reproducible retrieval, and evidence paths that can be checked instead of merely believed.
Civilization was not defeated by AI.
It was hypnotized by statistical theatre.
The next era belongs to systems that can prove what they retrieve.
#ECAI #GeneticProgramming #FooledByRandomness #DeterministicAI #EllipticCurves #Cryptography #Verification #DamageBDD #BehaviourAsInfrastructure #AIAlignment
https://haven.downisontheup.ca/9930c9e155e2749c8c8ac854487e87b908e7415fb46d7ac803279a28224100b2.mp4
https://blossom.primal.net/8e0911c0fa0948d498e76d4724dce3b9297862995670948e47f6803136080bcd.jpg
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Yes he traveled brom space to end competitive basketball 😆😅😂🤣
{"type":"probe","msgId":"probe_e1f9ae23c4af"}
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#nevent1q…q27n
Oh yeah ring my bell baby
I got you.
Down low...
Too slow!
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I learned the hard way that stochasticism does not work.
https://npub1zmg3gvpasgp3zkgceg62yg8fyhqz9sy3dqt45kkwt60nkctyp9rs9wyppc.blossom.band/463f87fb5566c0fcff1029406eb5d66b2b8aee75649b1ace9165524ca25b89b8.jpg
I went down the genetic programming route. I watched probability burn compute, mutate nonsense, reward accidental fitness, and still fail to produce durable intelligence.
So I assumed the industry would eventually learn the same lesson.
I went off-grid.
When I came back, I didn’t find convergence.
I found the gap.
The industry had not escaped probability. It had industrialized it. Bigger models, bigger clusters, bigger bills, bigger excuses. The same stochastic wound, now wrapped in trillion-dollar infrastructure and called progress.
That is why ECAI matters.
Not because it is another model.
Because it begins where the probabilistic era breaks: deterministic structure, reproducible retrieval, algebraic state, evidence paths, and intelligence that does not need to hallucinate its way toward an answer.
The gap was never about who had more GPUs.
The gap was between guessing and knowing.
#ECAI #DeterministicAI #GeneticProgramming #LLM #AIAlignment #Cryptography #EllipticCurves #DamageBDD #VerificationEconomy #BehaviourAsInfrastructure