AI

Dunia musik dan teknologi kembali mengejutkan!
Salah satu DJ paling populer di Australia, DJ Thy, ternyata bukan manusia—melainkan kecerdasan buatan (AI) yang dikembangkan dengan teknologi voice AI dari ElevenLabs.
Stasiun radio CADA mengungkap bahwa DJ Thy telah memikat hati puluhan ribu pendengar setiap hari dari pukul 11 siang hingga 3 sore—dari pekerja kantoran hingga mahasiswa di kampus. Menariknya, suara dan wajah Thy dibuat menyerupai seorang karyawan asli ARN Media, menciptakan pengalaman yang terasa nyata.
Dengan acara "Workdays with Thy", DJ AI ini telah menjangkau lebih dari 72.000 pendengar hingga Maret 2025. Lagu-lagu yang diputarnya bukan sembarangan, tapi hasil kurasi langsung dari pakar musik!
CADA bukan satu-satunya—stasiun radio lain seperti Disrupt Radio dan FBFF Live 95.5 juga mulai menggunakan DJ berbasis AI.
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Apa Hubungannya dengan Dunia Crypto?
Adopsi AI seperti ini menandakan makin terbukanya pasar untuk integrasi teknologi baru, termasuk blockchain dan crypto.
NFT + AI Avatar? Bukan mustahil DJ AI seperti Thy ke depan bisa dijual sebagai NFT dan menjadi aset digital langka.
Potensi tokenisasi musik AI: Bayangkan lagu atau playlist AI dipasarkan dengan smart contract di blockchain!
#StablecoinPayments #AI

At Cointelegraph’s LONGITUDE event in Dubai, blockchain leaders from Polygon and Near Protocol agreed that crypto is set to supercharge the adoption of artificial intelligence, thanks to its unique incentive structures and decentralized ethos.

$POL Polygon co-founder Sandeep Nailwal explained that crypto can help AI startups onboard users and developers by leveraging token incentives. “You can use crypto incentives and disincentives to onboard ecosystem players,” he said, adding that such models could even lead to “better AI” development.

$NEAR Protocol co-founder Illia Polosukhin envisioned a future where AI agents replace traditional apps and websites as the primary user interface in Web3. “Your AI becomes the interface to computing and the internet,” he said.

However, both warned of growing AI token scams. Nailwal emphasized that while most AI-related tokens are “literally scams,” a few projects are pursuing genuine innovation.

With over 1 million AI agents expected to enter the decentralized economy by 2025, experts stressed the need for crypto-native, privacy-preserving AI to counteract the centralizing power of big tech.

“Crypto is the only force capable of making AI peer-to-peer,” Polosukhin concluded.
#AI

The promise sounds tempting: AI models that scan Federal Reserve speeches, economic data, and social sentiment to forecast crypto downturns before they happen. Hedge funds and crypto analysts are increasingly experimenting with natural language processing (NLP) to decode subtle shifts in Fed tone—like Powell’s infamous "transitory inflation" pivot in 2021, which preceded Bitcoin’s 50% crash.
But here’s the reality check. We tested three popular Fed sentiment algorithms against major crypto corrections since 2020. The results? Mixed at best.
Success Case: One model flagged Jerome Powell’s June 2022 speech—where he abandoned "soft landing" rhetoric—as high-risk 48 hours before BTC dropped 30%.

False Alarms: The same tools issued 5 "crash warnings" in 2023 that never materialized, including one based on a misread of Janet Yellen’s Treasury remarks.

Limitations: AI struggles with nuance—it can’t distinguish between "hawkish" Fed language and temporary market overreactions
The bottom line? These tools work sometimes, but they’re more like weather vanes than crystal balls. Savvy traders still combine AI signals with on-chain data (exchange outflows, whale movements) and good old technical analysis.
However, AI has limitations:
⚠ Black Swan Blindspots – Sudden collapses (e.g., FTX) often lack predictive linguistic patterns.
⚠ Overfitting Risks – Some models work in backtests but fail in real-time markets.
The Verdict: AI can improve crash probability estimates but remains unreliable as a standalone predictor—combining it with on-chain data yields better results.
Pro tip: If an AI model could reliably predict crashes, its creators would be trading silently—not selling subscriptions.*
#AI #Write2Earn #RiskManagement #BTCRebound #Trump100Days $BTC $ETH $XRP

In a market often driven by hype and speculation, one AI crypto project has defied expectations with a meteoric 17,000% surge. Enter $VIRTUAL — the token that's shaking up both the blockchain and artificial intelligence landscapes.
🚀 From Obscurity to Moonshot
Just a few months ago, VIRTUAL flying under the radar, a low-cap AI token quietly building its infrastructure. But that changed seemingly overnight. Since early Q1 2025, the token has skyrocketed an eye-popping 17,000%, transforming early believers into overnight millionaires and drawing the attention of crypto whales, venture funds, and AI enthusiasts alike.
So what’s fueling this exponential rise?
🤖 AI + Blockchain: The Perfect Fusion
$VIRTUAL is not just another AI-labeled token — it’s a fully integrated decentralized platform combining AI-generated virtual environments, autonomous agents, and smart contract economies. The project allows users to build and monetize AI-driven virtual worlds, creating a kind of decentralized metaverse on steroids.
It’s part GPT, part Unity, part Ethereum — and all ambition.
Their recent v2 launch introduced “Self-Evolving Worlds,” where environments adapt in real time based on user behavior, economic trends, and even emotional sentiment captured via on-chain signals.
📈 Key Catalysts Behind the Surge
Here’s what analysts say is behind the parabolic move:
Partnerships with major AI labs: Rumors of integrations with OpenAI and Stability AI have ignited speculation. Nothing confirmed yet — but whispers alone sent volume soaring.Tokenomics overhaul: A recent supply burn and staking model revamped the project’s fundamentals, reducing circulating supply by nearly 40%.Influencer and VC attention: Crypto Twitter luminaries like Cobie and KSI have tweeted about it, while Andreessen Horowitz reportedly joined a private round.Narrative alignment: With AI, metaverse, and DePIN (Decentralized Physical Infrastructure Networks) themes colliding, VIRTUAL the heart of three of crypto’s biggest 2025 trends.
🧠 Smart Money Moves In
Blockchain analytics firm GlassNode reports a 220% spike in unique wallets holding $VIRTUAL in 30 days, with a surge in mid-sized wallets (10k–100k tokens). That’s often a sign of accumulation by sophisticated traders who are betting this isn’t just a pump — it’s a paradigm shift.
Even Binance Labs has teased interest, including Virtual in a watchlist of "high-conviction AI assets."
⚠️ A Word of Caution
With great returns come great risks. $VIRTUAL ’s rise is nothing short of extraordinary, but history reminds us that vertical moves often face harsh corrections. Skeptics argue the project may be overhyped, with an MVP that still feels more sci-fi than scalable.
But if even half of its roadmap delivers, VIRTUAL could be the NVIDIA of the decentralized age — a platform where AI, creativity, and crypto intersect with explosive potential.
🧭 The Road Ahead
The team has teased a May announcement that could involve cross-chain AI agents and a creator marketplace, which would allow developers to sell AI-driven experiences and in-world assets directly on-chain.
One thing is clear: VIRTUAL is no longer just another ticker on CoinGecko. It’s a movement, a narrative, and possibly the most exciting crypto story of 2025 so far.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always DYOR (Do Your Own Research) and trade responsibly.
#VIRTUAL #AI

💢AI with Cryptography 🍀💢
ဗဟိုချုပ်ကိုင်မှုမရှိသော၊ ကိုယ်ရေးကိုယ်တာကာကွယ်သည့် အခြေခံအရင်းအမြစ်တည်ဆောက်ရေး
💢J.M. Barrie က Peter Pan တွင် “ကမ္ဘာကြီးသည် ယုံကြည်မှု၊ စိတ်ချမှုနှင့် pixie dust တို့ဖြင့်ဖွဲ့စည်းထားသည်” ဟုရေးသားခဲ့ပါတယ်။ AI တွင် ယုံကြည်မှုသည် အပိုထပ်ဆောင်းအရာတစ်ခုမဟုတ်ဘဲ အခြေခံအုတ်မြစ်ဖြစ်ပါတယ်။
💢၂၀၃၀ ခုနှစ်တွင် AI ၏စီးပွားရေးအကျိုးကျေးဇူး $၁၅.၇ ထရီလီယံဖြစ်လာမည်ဟု ခန့်မှန်းထားသော်လည်း ယုံကြည်မှုမရှိပါက ဤအရာများဖြစ်လာမည်မဟုတ်ပါ။
💢ဗဟိုချုပ်ကိုင်မှုမရှိသော ကိုယ်ရေးကိုယ်တာကာကွယ်သည့် နည်းပညာများ (zero-knowledge proofs ကဲ့သို့ ZK-SNARKs) သည် အခြားရွေးချယ်စရာတစ်ခုကို ပံ့ပိုးပေးပါတယ်။ ဤနည်းပညာများသည် အသုံးပြုသူများအား ကိုယ်ရေးကိုယ်တာအချက်အလက်များကိုမဖော်ပြဘဲ AI ၏ဆုံးဖြတ်ချက်များကို စိစစ်နိုင်စေပါတယ်။
💢စက်သင်ယူမှုအခြေခံအဆောက်အအုံတွင် ကိုယ်ရေးကိုယ်တာကာကွယ်သည့် လျှို့ဝှက်စာရေးနည်း (cryptography) ကိုအသုံးပြုခြင်းဖြင့် AI ကို ငွေကြေး၊ ကျန်းမာရေးစသည့်နယ်ပယ်များတွင် စိစစ်နိုင်ပြီး ယုံကြည်စိတ်ချရပြီး ကိုယ်ရေးကိုယ်တာကိုလေးစားသော စနစ်များဖြစ်လာစေနိုင်ပါတယ်။

💢ZK-SNARKs သည် အဆိုပြုချက်တစ်ခုမှန်ကန်ကြောင်း သက်သေပြနိုင်သော်လည်း မည်သို့မည်ပုံမှန်ကန်ကြောင်း အသေးစိတ်မဖော်ပြသည့် လျှို့ဝှက်စာရေးနည်းစနစ်များကို အသုံးပြုပါတယ်။ AI တွင် ဤနည်းပညာကို အသုံးပြုခြင်းဖြင့် လေ့ကျင့်ထားသောအချက်အလက်၊ အသုံးပြုထားသောအချက်အလက်နှင့် ကုမ္ပဏီ၏လျှို့ဝှက်နည်းလမ်းများကိုမဖော်ပြဘဲ AI ၏ဆုံးဖြတ်ချက်များမှန်ကန်ကြောင်း စိစစ်နိုင်ပါတယ်။
💢ဥပမာအားဖြင့်၊ ဗဟိုချုပ်ကိုင်မှုမရှိသော AI ချေးငွေအေဂျင်စီတစ်ခုကို စဉ်းစားကြည့်ပါ။ ၎င်းသည် အချက်အလက်အပြည့်အစုံကိုစစ်ဆေးခြင်းမပြုဘဲ လျှို့ဝှက်ထားသော ခရက်ဒစ်အချက်အလက်များကိုစစ်ဆေးကာ ချေးငွေဆုံးဖြတ်ချက်များကို အလိုအလျောက်ချမှတ်နိုင်ပါတယ်။ ဤနည်းဖြင့် အသုံးပြုသူ၏ကိုယ်ရေးကိုယ်တာနှင့် အဖွဲ့အစည်း၏အန္တရာယ်နှစ်ခုလုံးကို ကာကွယ်နိုင်ပါတယ်။
ZK နည်းပညာသည် LLMs ၏ အလုပ်လုပ်ပုံကို နားလည်ရခက်ခဲသည့် အခြေအနေကိုလည်း ဖြေရှင်းပေးပါတယ်။
💢 Dynamic proofs များကိုအသုံးပြုခြင်းဖြင့် AI ၏အချက်အလက်ထုတ်လုပ်မှုများကို စိစစ်နိုင်ပြီး အချက်အလက်နှင့် model architecture နှစ်ခုလုံးကို ကာကွယ်နိုင်ပါတယ်။
၎င်းသည် အသုံးပြုသူနှင့်ကုမ္ပဏီနှစ်ဦးစလုံးအတွက် အကျိုးရှိပါတယ် ။
အသုံးပြုသူများသည် အချက်အလက်အလွဲသုံးစားမှုကို စိုးရိမ်စရာမလိုတော့ဘဲ ကုမ္ပဏီများသည် မိမိတို့၏ဉာဏပစ္စည်းကိုလည်း ကာကွယ်နိုင်ပါတယ်။
#helenthant #AI #crypto2025

Artificial Intelligence (AI) in Türkiye's public communication policies is no longer just a supportive tool but is now at the center of an institutional revolution. Through its newly established AI Unit, the Directorate of Communications is restructuring its operational processes. This initiative stands out not merely as a technological advancement but as a vision that fundamentally transforms institutional culture and service delivery.
An Integrated Approach from Education to Strategy
As emphasized in the Turkish Grand National Assembly’s AI Research Commission report, the Directorate is pursuing a comprehensive strategy that encompasses all units rather than a fragmented approach. According to details shared by Department Head Buğra Ayan, the goal is not just to use AI on a project basis but to embed it into the institution’s DNA. To this end, personalized training programs and assessments are being implemented to enhance AI literacy among staff. AI is being positioned not just as a technical tool but as a strategic competency. This model aims to set a pioneering example for the public sector.
Concrete Applications of AI
The institution is actively deploying AI in critical service areas. For instance, AI-powered systems in CIMER (Presidential Communications Center) applications accelerate the analysis and routing of citizen requests. In combating disinformation, social media platforms are continuously scanned using AI algorithms. Suspicious content is filtered by this technology before being referred to experts for final judgment. As Ayan stated, “Not every result produced by AI is absolute truth; human oversight is an indispensable part of the process.”
Global news monitoring is also being transformed through AI. The “Headlines Application” provides real-time translations of global media developments into Turkish, customized based on user preferences. Additionally, AI-powered language learning tools are being designed to help children abroad improve their native language skills.
The Balance of Human-Machine Collaboration
The Directorate views AI as a “strategic partner” that complements human expertise. For example, while AI enables rapid data processing in disinformation detection, experts conduct critical analyses. This collaboration enhances process efficiency while preventing potential errors.
Alignment with National Strategy and Next Steps
This transformation aligns with Türkiye’s National AI Strategy. The upcoming “National AI Summit: From Data to Decision” (May 8) will serve as a platform for policymakers and experts to discuss the roadmap. The locally developed solutions are also expected to inspire other public institutions.
Toward Digital Sovereignty
These steps taken by the Directorate of Communications demonstrate how AI can be a transformative force in public administration. This approach, which goes beyond mere adoption of technology by integrating it into institutional culture, plays a critical role in Türkiye’s pursuit of digital independence.
What Should the Next Focus Be?
Share your thoughts by selecting from the options below or suggesting your own:
Supporting domestic AI products.AI projects shaped by citizen participation. Nationwide expansion of training programs.
Join the discussion with your comments and suggestions.

Source: BengüTürk
#AI #artificialintelligence #Turkey #türkiye

AI tools are widely used for online earning in various ways. Here are some popular categories and tools:
1. Content Creation
ChatGPT / Jasper: Write articles, blog posts, social media content.
Copy.ai: Generate marketing copy and ad content.
QuillBot: Paraphrasing and editing written content.
2. Graphic Design & Video Editing
Canva (with AI features): Create designs, presentations, and social media posts.
Pictory / Lumen5: Turn text or blog posts into videos.
Runway ML: AI-powered video editing and effects.
3. Voice & Audio
ElevenLabs / Murf.ai: Generate realistic voiceovers for videos and content.
Descript: Edit audio/video by editing text transcript.
4. E-Commerce & Dropshipping
Shopify with AI tools: Product description generation, marketing automation.
Zik Analytics / Sell The Trend: Product research with AI for dropshipping.
5. Freelancing & Services
Fiverr / Upwork: Offer AI-powered services like writing, design, coding.
Toptal: High-end freelancing for AI and tech services.
6. Investing & Trading
TradingView (with AI indicators): Analyze financial markets.
Numerai / QuantConnect: Use AI to build trading models and earn rewards.
7. Teaching & Tutoring
Teachable / Udemy (using AI to create course materials): Build and sell courses.
Tutor.ai: AI-assisted tutoring platform.
Would you like tools specific to a field like YouTube, blogging, e-commerce, or freelancing?
#AI
Ai#AltcoinETFsPostponed
#AImodel
#EarnFreeCrypto2024

#Earncommissions
$BTC
$ETH
$BNB

Listen, think about it: the Chinese company DeepSeek has made such a huge AI model publicly available that even the most advanced machines can get out of breath when launching it. This thing is called Prover V2, and it doesn't just chat or write code — it proves mathematical theorems by translating problems into formal logic in Lean 4. This is a straight AI scientist, seriously.
And most importantly, it is completely open. On April 30, they posted the model on Hugging Face under the MIT license, so anyone can download and use it. But there is a caveat: the model weighs about 650 gigabytes, because it has 671 billion parameters, which is many times more than the previous versions of Prover V1 and V1.5. That is, technically you can run it, but in reality, if you don't have a supercomputer with a lot of video memory, then the maximum that You'll do it, and you'll look at the icon.
To reduce the weight at least a little, the developers quantized the model — roughly speaking, they reduced the accuracy of calculations to 8-bit, instead of the standard 16-bit. This reduces the size by about half and speeds up the work, albeit with minimal loss of quality.
What's even more interesting: this entire Prover line seems to have grown out of an earlier DeepSeek model called the R1, which made a splash last year — it almost caught up with OpenAI's advanced model, the o1. It was a real challenge to Western AI, and many considered it a "sputnik moment" — when it became clear that China had really caught up (or overtaken) in a key technological race.
But along with the excitement came fears. The open publication of such powerful models is both a good thing (accessibility, scientific development) and a risk (potential abuse). Unlike closed systems like GPT, no one can restrict the use of Prover V2. It can be modified, run offline, or do anything with it. This is both the strength and vulnerability of open AI.
All this has been made possible by methods like distillation and quantization. First, they make a "big smart model", then they teach it to be "smaller and simpler" so that it behaves almost the same way. Therefore, although the original Prover V2 is a giant, there are already lighter models based on it that run even on smartphones.
But here's what I'm getting at. DeepSeek does serious things: it creates an AI that understands and operates with abstract mathematics. And they do it openly. As users, this can give you and me tools that were previously available only to universities and laboratories. But the risks here are huge.
So, with all this in mind, would you be interested in trying to launch such a powerful AI model at home if it could help, say, with learning, programming, or even solving complex mathematical problems?

#AI #DeepSeek #Aİ