We have finally reached the phase of utilizing #IoT data. Of course, we are still at the beginning of the demonstration phase, but we are getting to the big vision I wrote about in Whitepaper in 2018: the convergence of "data valorization" and the #IoT platform.
We will conduct a lot of trial and error and aim to create a platform where better products can be born.
#JASMY $JASMY
🚨HOT TAKE: $JASMY will hit $1 before 99% of tokens even find utility.
Japan isn’t just adopting Web3—they’re rebuilding their entire digital identity infrastructure from the ground up.
Spoiler: Jasmy is at the center of it.
Still think it’s just another lowcap?
👇Change my mind.
#JASMY #Binance #CryptoAdoption #DigitalID #JapanWeb3
This is Mark Walter, owners of the Los Angeles Dodgers. One day after the team blocked ICE from accessing the stadium, the team announced they will be donating $1 million to support immigrant families affected by the Trump Admin.
RETWEET to thank Walter for standing up to Trump!
@ThrillaRilla369 I was born in 1968 and can confirm. I left the house each day early and did not come back until it was dark. No cell phone or any other tracking device and I lived to tell about it.
5 years old - Mom, I love you.
12 years old - Mom, I can't stand you.
16 years old - My mother is very annoying.
18 years old - I'm leaving this house.
25 years old - Mom, you were right.
30 years old - I want to go to my mom's house.
50 years old - I don't want to lose my mother.
70 years old - I would give up everything to have my mom here with me.
You only have one mom. Take care of her while she's still alive.
I just made my very first transaction on the $COTI V2 mainnet. It was extremely fast and super cool, with an incredibly cheap fee (about 0.000000105000147 $COTI, nearly $0.00000000745396 based on the current $COTI price). But the important thing is that when you view your wallet on https://t.co/ak8tGm807l, you won’t see the balance by default—you’ll only see it when you connect your wallet. Privacy is a right! Don't fade $COTI!
I trade more on technicals than fundamentals, and I don't let global, political, or regulatory noise pollute my investment theses.
And yes, bulls like myself are frustrated with the current market environment, but we’ve barely retraced three months and are still decidedly in a secular bull market.
So from my humble bias, I propose a U-shaped correction.
I’m thinking of a rally that ramps up at the end of March or early April.
What I'm wrestling with is how much further down that rally will start.
If you position size correctly your highest convictions, you can take advantage of most market conditions.
What do you think?
@elonmusk I’ve been using Grok a lot last week - processing ideas, researching, and writing articles. I love it. My favorite AI model so far. I can appreciate the demand.
What if your media dApp could launch with tokenization and monetization capabilities?
Introducing AIOZ Stream—a DePIN-powered media infrastructure built on the AIOZ blockchain, powering Video-on-Demand (VOD), Audio-on-Demand (AOD), and Peer-to-Peer Live Streaming.
With AIOZ Network’s native tokenization, media dApps can unlock:
→ Potential Rewards for creators, viewers, and publishers in tokens
→ Crypto-based monetization models like tipping, pay-per-view, and subscriptions
AIOZ Stream is the one-stop infrastructure for media dApps—powered by 270,000+ AIOZ DePINs—where content is tokenized and monetized on your terms.
Build. Stream. Monetize | Tokenize with AIOZ Stream.
Welcome to "Ask AIOZ AI," our bite-sized series where we simplify key AI concepts!
Q: What is Few-Shot Learning?
A: It’s a type of machine learning where models are trained to achieve high performance with only a few training examples.
This approach is crucial for real-world scenarios with scarce labeled data, such as:
→Medical Imaging: Detecting rare diseases with limited labeled data.
→Face Recognition: Identifying new individuals from just a few reference images.
→Rare Object Recognition: Classifying uncommon objects, like rare flowers, with minimal examples.
Catch up on the last episode, and tell us which AI concepts you’re curious about next!
https://t.co/o1cD7Nfi1S