Apple Is Way Behind in AI—and Still Making a Fortune From It - WSJ
<a href="https://news.google.com/rss/articles/CBMi_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?oc=5" target="_blank">Apple Is Way Behind in AI—and Still Making a Fortune From It</a> <font color="#6f6f6f">WSJ</font>
Could not retrieve the full article text.
Read on GNews AI Apple →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products

Ant Group Launches Anvita for AI Agent Crypto
Ant Digital Technologies, the blockchain arm of Alipay's parent company, has unveiled Anvita — a two-part platform that lets AI agents autonomously hold crypto assets, execute trades, and settle payments in real time using stablecoins. For any fintech developer or crypto developer building payment infrastructure in the UK, this marks the moment a major Asian fintech giant went all in on the agent-to-agent economy running on crypto rails. Announced at the Real Up summit in Cannes on 5 April, Anvita sits at the exact intersection of agentic AI and crypto payment infrastructure — two domains converging faster than most payment developers anticipated. What Anvita Means for Payment Developers Anvita ships in two distinct modules, each targeting a different layer of the fintech stack: Anvita Taa

How MCP Is Changing Test Management — And Which Tools Support It
Quick Answer MCP (Model Context Protocol) is an open standard that lets AI agents — Claude, GitHub Copilot, Cursor, and others — interact directly with external tools through a unified interface. For test management, this means you can create test cases, start test cycles, assign testers, and pull coverage reports using natural language — without opening a browser. Only two test management platforms currently support MCP: TestKase and Qase. If your tool does not support MCP, your team is missing the biggest productivity shift in QA since test automation. Top 3 Key Takeaways MCP eliminates context switching. Instead of bouncing between your IDE, browser, and test management tool, you talk to an AI agent that handles everything in one place. Only 2 of 5 major test management tools support MC

What is Proof of Physical AI? The Missing Layer in DePIN
When an AI agent pays for GPU compute on a decentralized network, how does it know a real V100 ran the job and not a spoofed VM claiming to be one? It can't. The receipt says "V100" but the silicon could be anything. Until now. The Problem Nobody's Solving AI inference is a black box. You send a prompt, you get tokens back. Somewhere between your API call and the response, a machine did math — but you have zero proof of which machine, or whether it was physical at all. DePIN (Decentralized Physical Infrastructure Networks) has made real progress proving that infrastructure exists : Filecoin proves storage capacity. Helium proves radio coverage. Render proves GPU compute was done. io.net proves GPU availability. But none of them prove which specific hardware did the work. A Render job could


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!