Binance Square
#mai

mai

4,550 views
22 Discussing
Happy new_Crypto
·
--
Article
How Does Newton Protocol Build the Future of AI-Powered Finance? And Why Does the Network’s Experimental Version Matter!!!As AI usage increases, the real question isn’t: Can AI make decisions? But rather: How can it carry out those decisions on the blockchain safely and reliably? Now it’s time for @NewtonProtocol , which develops an infrastructure that allows AI agents to execute financial operations on-chain in a secure and verifiable way, rather than only offering suggestions or analyses. This vision makes $NEWT connected to a real technical problem that may become even more important as the AI economy expands.

How Does Newton Protocol Build the Future of AI-Powered Finance? And Why Does the Network’s Experimental Version Matter!!!

As AI usage increases, the real question isn’t: Can AI make decisions? But rather: How can it carry out those decisions on the blockchain safely and reliably?
Now it’s time for @NewtonProtocol , which develops an infrastructure that allows AI agents to execute financial operations on-chain in a secure and verifiable way, rather than only offering suggestions or analyses. This vision makes $NEWT connected to a real technical problem that may become even more important as the AI economy expands.
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
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
Log in to explore more content
Join global crypto users on Binance Square
⚡️ Get latest and useful information about crypto.
💬 Trusted by the world’s largest crypto exchange.
👍 Discover real insights from verified creators.
Email / Phone number