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Tatyana 🇺🇸🇺🇸
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Tatyana 🇺🇸🇺🇸
@_Femme_fatal__
Supporter of a strong National Defense and Common Sense. Definitely no DEMS and their Craziness - MAGA 🇺🇸🇺🇸🇺🇸
USA Katılım Nisan 2022
1.2K Takip Edilen422 Takipçiler
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi

@mc_swa49166 @PatriotTN75 @FrankKane11 @bdonesem @Bagel69er @whale20564 @_AmaraL577 @Siameshky @Blueverse01 @FishermanWords @Getoffmyla49996 @dougjamesdoug @CoopandKCmom @JackMedia7 @TexanDave56 @GGrove90968 @urbanspaceman89 @Schmoll115 @troutdog20 @Scrabblenames @PaulMer53 Shhhhh....the only ppl that know I'm ticklish is Faith, Scott, Spooks and you....we gotta keep it that way or everybody's gonna wanna tickle me😂
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Tatyana 🇺🇸🇺🇸 retweetledi
Tatyana 🇺🇸🇺🇸 retweetledi

A system with 100% precision—no false positives, no loopholes, no waste—sounds like the ideal of perfect stewardship. Every dollar tracked from tax collection to final use, flagged instantly if it deviates from law and intent, building strength without excess or theft. Discipline here mirrors the discipline required to pay those taxes honestly.
Truth is, no technology, including advanced AI, can deliver absolute zero false positives or zero waste in real-world government spending. Current systems like USAspending.gov track trillions in awards (contracts, grants, loans) by recipient, agency, and location, pulling from agency reports and public data, but they have documented gaps: incomplete reporting from some agencies, data quality issues (missing info, duplicates, mismatches), and no real-time full coverage. GAO estimates billions in improper payments annually (e.g., around $162 billion in FY24), and audits show persistent challenges in oversight and fraud prevention.
AI helps—agencies reported nearly 1,100 use cases by 2024, with generative AI growing fast for tasks like data analysis—but it struggles with explainability, bias, data privacy, reliability, and the need for high-quality, error-free inputs. Financial auditing research shows AI reduces errors but cannot eliminate false positives entirely; it often trades off sensitivity (catching more issues) against accuracy. Blockchain pilots exist (e.g., state-level for records, some federal trials for grants), offering tamper-proof ledgers, but they don't scale to all federal spending yet, face integration hurdles, and still need human oversight.
To get as close as possible:
- Build on USAspending.gov and GAO standards—mandate better data standards and real-time feeds via new legislation.
- Use hybrid AI: anomaly detection for flags, NLP for contracts, blockchain for immutable trails.
- Require mandatory audits with explainable models, human review loops, and ongoing refinement.
- Start with high-risk areas (e.g., grants, defense contracts) as pilots.
This requires new laws for access, funding, and enforcement—nothing short of congressional action to force agency compliance and data quality. Without it, the system stays fragmented.
The gap between ideal and possible is wide, but pushing for it forces better accountability. What part of this blueprint feels most urgent to you—data access, tech stack, or the political push?
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Tatyana 🇺🇸🇺🇸 retweetledi

Ever wanted to experience a winter rail view worth slowing down for?❄️🚆
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Snow-covered mountains rise along the Takayama Main Line, and the rivers beside it reflect the quiet landscape like glass. Catch the train weaving through this serene scene, perfectly blending with nature’s quiet beauty🌲✨
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Save this for your next peaceful winter escape!
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📍 Takayama Main Line / Gifu
📸 @etsuyo623 instagram.com/etsuyo623
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Follow @visitjapanjp for a daily dose of inspiration from Japan and for your future travel.
Tag your own photos from your past memories in Japan with #visitjapanjp to give us permission to repost!
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#Nature #Gifu #Japantravel #beautifulJapan #Japanphotography #winterinJapan #visitJP_gofurther #jnto_visitjapan

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Tatyana 🇺🇸🇺🇸 retweetledi

The Winter Olympics, global concert tours and other live events will shape the travel landscape in 2026.
Here's what to know: abcnews.link/Bavx1wC
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Tatyana 🇺🇸🇺🇸 retweetledi

Steel, speed, and spinning winds
Train Non: 16352 #Nagercoil–#Mumbai CSMT Express passing through Kaval Kinaru, powered by a WAP-7 locomotive with windmills adding magic to the landscape
#SouthernRailway
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Tatyana 🇺🇸🇺🇸 retweetledi

It would be a huge loss for the DeFi landscape if Bitcoin doesn't do something.
Total transaction count on Bitcoin L1 only accounts for 0.1% market share, ranking 23rd overall.
The reason does not lie in the high fees; it's because Bitcoin lacks utilities.
And then projects like @beyond__tech have the responsibility to bring more use cases to the network, starting with bridging usable assets on Bitcoin.

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Tatyana 🇺🇸🇺🇸 retweetledi

"This Is The Make Or Break Year" In this episode @IOHK_Charles does not hold back on his views of the current crypto landscape & what's coming next. Watch Now 👉🏼 youtu.be/6bfYKc-HxUY

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