mai

#Mai 10 ten-thousand market cap; reasons for optimism

1. Interesting narrative, charity concept, GIGGLE concept.

A recently released video from the official Giggle Academy introduces a new companion named Mai. She is always ready to play, chat, and learn with your children. She can change her form and keep children engaged, making every interaction feel like an adventure.

2. Low market cap. The new token launched and reached 100,000; I decisively bought some. The token distribution is reasonable: the top 100 holders own 55.9%, there are several big players, and retail investors make up most of the holders.

3. The community is doing pretty well, with over 500 token holders and over 300 community members. Promotion is mainly through videos and text.

#跟着锦鲤学打百倍金狗 $币安人生

Follow Web3 Koi Diary—the coins I buy go 10x

0x94c4a633309f5e7e521d1b2d2cba67950dedffff

🤖 Microsoft puts humans before artificial intelligence.
Microsoft AI has published the Humanist AI Code of Conduct for MAI models, with a clear message:
People matter more than AI.
The charter also emphasizes that AI should not exceed human control, and should remain correctable and stoppable when needed.
The most important idea here isn’t how powerful the model is, but who makes the decision when models become more autonomous?
The future of AI won’t be measured only by capabilities, but by our ability to keep it useful, controllable, and accountable to humans.

#Microsoft #MAI #AI
#ArtificialIntelligence

The QiDaoProtocol stablecoin #MAI c is trading around $0.85, recording a 10–14% drop compared to the $1 benchmark on the Polygon network.

The loss of the benchmark is attributed to low liquidity, an Arbitrage mechanism or PSM that is not strong enough to pull the price back to equilibrium, along with a low market capitalization of about $10 million.

👀 Market Watch:
- #MAI

Keep a close eye on liquidity and the next updates from the protocol.

#RSSNew #AIStocksWhatNext

The 2026 Microsoft Build Conference is officially kicking off, and Microsoft is rolling out its in-house MAI model family with 7 native models across inference, programming, image processing, speech, and transcription. The flagship model, MAI-Thinking-1, boasts 35 billion active parameters and a 128K context window, hitting levels comparable to Claude Opus 4.6 on the SWE-bench Pro. They also launched cutting-edge Frontier Tuning services, a Web IQ search engine, and the next-gen topology quantum chip, Majorana 2, which boosts qubit reliability by 1000 times, pushing the timeline for scalable quantum computers to 2029.

Why it matters: This marks Microsoft's first fully in-house AI model stack (no third-party distillation involved), while advancing their quantum computing + AI Agent platform, signaling a new phase in the tech giant's AI competition, where hardware and software are integrated as one.

#微软 #MAI #AI #量子计算 #Build2026