A new WMG deal, an Ed Sheeran collaboration and 10M AI music production users… 3 things we learned from Tencent Music’s Q4 earnings call - Music Business Worldwide
<a href="https://news.google.com/rss/articles/CBMi_wFBVV95cUxQVF91WjQtUHdNS2puaGVRdktEY1N5ZHRrREZhWmRaOVF1UE1rZU0xaHlRV21DSVE0NngzUzRRQ2JyMTdLV0V0LVdNbEFOYjN6WmRveE1ocE8zX2pDSGJ1MUV3eFphU1N1Um96cGxTbm9QcHhBRTlLSFI0NUZtdkR0MkpVOFl4N3NtUEtOZjVmRGIwR25qeDlSU3lpd1dzeVd1OVVnQU9JX1dheGVZQk9qRE9rUjZSYkNBVTN6NXk2OWhSU3lTUktCcllnWkFWMlpGRndTSUdQNTk4aWhUeXpwQkoxbG9TNGk1clczeTB6YnRjYm5yS2xtV0Fma1pBUm8?oc=5" target="_blank">A new WMG deal, an Ed Sheeran collaboration and 10M AI music production users… 3 things we learned from Tencent Music’s Q4 earnings call</a> <font color="#6f6f6f">Music Business Worldwide</font>
Could not retrieve the full article text.
Read on Google News - Tencent AI →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.
More about
product
Everyone's Building AI Agents. Nobody's Building What Makes Them Work.
Three things happened this week. They tell the same story. On April 3, NPR reported that AI legal sanctions have hit 1,200+ cases , with a record fine of $110,000. Courts sanctioned ten cases in a single day. On April 4, The Week published that enterprise environments are still not ready for agentic AI —85% of companies want to deploy agents within three years, but 76% admit their operations can't support it. 50% of deployed agents operate in total isolation. This morning, NVIDIA launched an open agent platform, partnering with Salesforce, Adobe, Atlassian, and ServiceNow. The gold rush is accelerating. The narrative is seductive: AI agents are coming. Build them. Deploy them. Win. But the data tells a different story. The problem isn't the agents themselves. It's the infrastructure undern
The Documentation Attack Surface: How npm Libraries Teach Insecure Patterns
Most security audits focus on code. But across five reviews of high-profile npm libraries — totaling 195 million weekly downloads — I found the same pattern: the code is secure, but the README teaches developers to be insecure. One finding resulted in a GitHub Security Advisory (GHSA-8wrj-g34g-4865) filed at the axios maintainer's request. This isn't a bug in any single library. It's a systemic issue in how the npm ecosystem documents security-sensitive operations. The Pattern A library implements a secure default. Then its README shows a simplified example that strips away the security. Developers copy the example. The library's download count becomes a multiplier for the insecure pattern. Case 1: axios — Credential Re-injection After Security Stripping (65M weekly downloads) The code: fo
What is an MCP proxy and why does it need an approval layer?
MCP (Model Context Protocol) lets AI agents call external tools. A database query, a file write, an API call -- the agent decides what to do and the MCP server executes it. But there's nothing in the spec that evaluates whether that action should happen. An MCP proxy sits between the agent and the MCP server. It intercepts every tools/call request, does something with it, and forwards it (or doesn't). The proxy pattern isn't new -- it's how HTTP proxies, API gateways, and service meshes work. Apply it to MCP and you get an enforcement point for agent actions. Why a plain proxy isn't enough Most MCP proxies today do routing, load balancing, or observability. They watch traffic. Some log it. A few do rate limiting. None of that stops an agent from running DROP TABLE customers if the tool cal
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
We Built a Robotics Developer Platform from Scratch - Meet Isaac Monitor & Robosynx
We Built a Full Robotics Developer Platform from Scratch — AI Generator, ROS 2 Architect, Physics Validator, Isaac Monitor, and More One platform that removes every single friction point between a robotics engineer and a working simulation — from generating your first robot file to monitoring a GPU training cluster in real time. This is Robosynx. The Problem We Set Out to Solve Robotics development in 2025 is powerful — but the tooling around it is still fragile, tribal, and painful. You want to test a new robot in NVIDIA Isaac Sim? You need to write URDF XML by hand. You want to move that robot to Isaac Lab for reinforcement learning? Now you need MJCF format, so you spend three hours refactoring XML. You want to validate that the physics won't explode your simulation? There's no standard
Qodo Merge Review: Is AI PR Review Worth It?
Quick Verdict Qodo Merge is one of the most feature-rich AI pull request review tools available in 2026, and the only major option backed by a fully open-source core. Built on the PR-Agent engine, Qodo Merge automatically generates PR descriptions, posts structured review comments, suggests code improvements, and identifies test coverage gaps - all within minutes of a pull request being opened. The February 2026 release of Qodo 2.0 introduced a multi-agent review architecture that achieved the highest F1 score (60.1%) among eight leading AI code review tools in comparative benchmarks. The open-source angle is what makes Qodo Merge genuinely interesting. You can self-host PR-Agent for free with your own LLM API keys and get the core review experience without paying a subscription. The manag
Everyone's Building AI Agents. Nobody's Building What Makes Them Work.
Three things happened this week. They tell the same story. On April 3, NPR reported that AI legal sanctions have hit 1,200+ cases , with a record fine of $110,000. Courts sanctioned ten cases in a single day. On April 4, The Week published that enterprise environments are still not ready for agentic AI —85% of companies want to deploy agents within three years, but 76% admit their operations can't support it. 50% of deployed agents operate in total isolation. This morning, NVIDIA launched an open agent platform, partnering with Salesforce, Adobe, Atlassian, and ServiceNow. The gold rush is accelerating. The narrative is seductive: AI agents are coming. Build them. Deploy them. Win. But the data tells a different story. The problem isn't the agents themselves. It's the infrastructure undern
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!