naimeh

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naimeh

naimeh

@naimeh70

cat lover

Katılım Şubat 2023
1.3K Takip Edilen2.7K Takipçiler
KINGSLEY_De-Analyst
KINGSLEY_De-Analyst@Premuscrypt·
Quick one on @goldfishggbr It has been an amazing milestone for Goldfish giving that $GGBR was listed on BitMart on the 25th of this month. The most important thing wasn't just about the listing, but it has significantly expands the reach and put the project in the eyes of many. • Greater reach • Easy accessibility for new users, • Stronger overall liquidity. These are what building something that connects real gold to crypto will bring to you. Distribution and accessibility is everything. $GGBR adoption will be faster when it's easily accessible. Goldfish is building something huge.
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naimeh
naimeh@naimeh70·
Small steps are still progress Good night🌙
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Fay
Fay@fayfilmkm·
Happy Friday my friends ☀️ every moment is a fresh spark, and you’re the spark plug that makes it explode.
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Captainsilver.eth 🇮🇷
Captainsilver.eth 🇮🇷@captainsilv3r·
GM CT ☀️ The deeper I dive into Web3, the more I appreciate projects solving the basics. @konnex_world is focused on interoperability and smooth connectivity between ecosystems. That’s the groundwork for real adoption.
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zara
zara@zahrazareiw·
gm frens 🤍 It’s my birthday today🎈 This year, bigger risks, heavier wins, and more serious goals 😌
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naimeh
naimeh@naimeh70·
Yesterday, machines were tools. Today, they work. Tomorrow, they earn. Factories. Drones. Farms. Robots. All connected. All autonomous. This isn’t automation. It’s a new GDP. The Machine Economy is turning ON. ⚡ @konnex_world
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Degen 🎩
Degen 🎩@degentokenbase·
A creature unlike any other. A dreamer, a disruptor … a … DEGEN. 777 supply. Free mint. Q1 2026 Enter the dream → dream.degen.tips
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乃卂匚Ҝ山ㄖㄖᗪ$$$ 🍂
乃卂匚Ҝ山ㄖㄖᗪ$$$ 🍂@backwoodsxyz·
Happy weekend legends Still on @RialoHQ compact build 📆 Agitating for a whole new layer comes with a price to pay especially having to integrate applications into a unified system, on this stage rialo is aiming to solve With such idea put in place, product often fear for their scalability but the build is maintained on super modularity making it easy to adopt measures closer to next model of advancements. These is unique and primitive to a successful design holding high value for not just scalability but longevity of the design by adopters who f these architecture be it industry, project or applications. In maintaining these features of flexible we’ve got @0G_labs and @fasset approaching it’s systems with the best possible way for design adoption Enjoy your weekend Top Chads ⚡️🥷🏾
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samimi
samimi@hassan_samimi·
Gud morning guys🙏 i was reading @PerleLabs report on data poisoning in AI systems. What they point out is that as AI agents become more autonomous, attacks are shifting from directly hacking systems to subtly manipulating training data. in networks where multiple agents interact, compromising the information of even a single agent can disrupt the entire system and its decision making processes. my personal takeaway is that AI primary vulnerability is moving away from software bugs toward a lack of transparency in data sources. this is precisely where Web3 based solutions , such as recording data provenance (which the article mentions) and cryptographic verification on the blockchain , start to make strong sense. if we cannot state with certainty and transparency what data an AI model was trained on and what it based its decisions on, we clearly cannot trust its outputs or performance. Overall, it was an insightful article. I recommend reading it if you’re interested in AI. 👇
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Perle Labs@PerleLabs

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Rudolph
Rudolph@onc_rudyy·
Top of the morning frens, Let's have a great Friday. Stay blessed.
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naimeh
naimeh@naimeh70·
Do something you never dared to do before🫶 Good night 😴
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samimi
samimi@hassan_samimi·
gee m guys i was reading this new article by @PerleLabs about the challenges of training AI using AI generated data (synthetic data). their main point is that if this cycle continues relying solely on non human data, models eventually experience model collapse and lose their creativity. they also reference an interesting study showing that AI judges (such as GPT-5) tend to resist innovative data, acting more like strict critics than affirming evaluators. in my view, the key insight is that we are moving toward a future where the credibility of data matters far more than the sheer volume of data. The observation that the high speed of this cycle could cause deep human knowledge to get buried beneath repetitive machine outputs is genuinely thought provoking. what I find particularly interesting is that they propose a solution in combining human expertise with blockchain infrastructure (such as Solana) to ensure data provenance and traceability. i believe that in the near future, real value will lie not in massive models themselves, but in platforms capable of injecting pure, expert verified data into these endless feedback loops , so that artificial intelligence does not drift into a repetitive dead end.
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Perle Labs@PerleLabs

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Nucleo
Nucleo@nucleo_art·
GM ⚪️ 1100 (Genuine!) accounts added to the waitlist in the past 24 hours. Thank you! Final allowlist selection at the end of the week 🔳
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