A German regional court has ruled that song lyrics written by a human are still protected by copyright, even if the music was made with AI tools like SunoAI. Simply claiming a work is AI-generated isn’t enough to strip that protection, you need proof.
Following a series of allegedly AI-caused outages, Amazon is turning its senior engineers into human filters for AI-generated code.
"Folks, as you likely know, the availability of the site and related infrastructure has not been good recently," writes Dave Treadwell, Senior Vice President at Amazon, in an internal email obtained by the Financial Times. A briefing identifies a "trend of incidents" with a "high blast radius," linked to "Gen-AI assisted changes." Recently, there have been reports that Amazon's AI coding tools may have also contributed to two AWS outages.
The consequence: Junior and mid-level engineers now require sign-off from a senior engineer for all AI-assisted code changes. Standard code reviews have always existed at Amazon, but a dedicated approval requirement specifically for AI-generated output is new. Experienced developers are thus effectively becoming human quality filters for machine-generated code. Their role is shifting: away from building, toward reviewing what the machine has built.
Among the causes, the internal briefing cites "novel GenAI usage for which best practices and safeguards are not yet fully established."
Nvidia and Thinking Machines Lab, the AI startup founded by former OpenAI executive Mira Murati, are entering a long-term partnership. Thinking Machines will receive at least one gigawatt of compute power through Nvidia's new Vera Rubin systems to train its own AI models. Deployment is set to begin early next year.
Nvidia has also taken a financial stake in Thinking Machines, though the exact amount wasn't disclosed. The startup had already raised around $2 billion in a seed round led by Andreessen Horowitz, at a valuation of $12 billion. Nvidia was an investor in that round as well. Most recently, Thinking Machines is reportedly seeking another funding round. The startup has also seen some departures - co-founders Barret Zoph and Luke Metz returned to OpenAI.
Together, the two companies plan to develop training and deployment systems for Nvidia hardware and make frontier AI models available to businesses and researchers. Murati left OpenAI in 2024 and co-founded Thinking Machines Lab.
Meta has acquired Moltbook, a platform best described as a Reddit for AI agents. Founders Matt Schlicht and Ben Parr are joining Meta's Superintelligence Labs (MSL), led by former Scale AI CEO Alexandr Wang, Axios reports. The purchase price wasn't disclosed, and the deal is expected to close in mid-March.
Moltbook launched in late January as an experimental space where AI agents could connect and coordinate tasks. Schlicht built most of it with help from his own AI assistant. Since then, two studies have deflated the sci-fi hype around the project: the actual number of agents appears far lower than claimed, and researchers found no real social interaction on the platform.
So what does Meta see in it? In a blog post obtained by Axios, Meta's Vishal Shah explains: "The Moltbook team has given agents a way to verify their identity and connect with one another on their human's behalf. This establishes a registry where agents are verified and tethered to human owners." Existing customers can keep using Moltbook temporarily.
The acquisition follows OpenAI's recent hire of Peter Steinberger, developer of the related agent framework OpenClaw.
Eon Systems says it has connected a complete fruit fly brain emulation to a virtual body, producing multiple behaviors for the first time. The emulation covers over 125,000 neurons and 50 million synapses.
According to co-founder Alex Wissner-Gross, the startup mapped the fruit fly's neural wiring from electron microscopy data and connected it to a virtual fly body running in MuJoCo, a physics simulation engine.
Previous projects like OpenWorm worked with far smaller nervous systems, just 302 neurons, or relied on machine learning techniques like reinforcement learning instead of actual brain data. Eon takes a fundamentally different approach. Rather than building AI, the startup wants to digitally copy and simulate real brains, neuron by neuron. The fruit fly is just the starting point. Within two years, Eon plans to emulate a mouse brain with 70 million neurons. The long-term goal is simulating a human brain.
Eon published the code for its brain model on GitHub, though it's based on a paper by Philip Shiu et al. that already appeared in Nature in 2024. The actually novel part, connecting the brain emulation to a simulated body, hasn't been released yet.
Yann LeCun, former chief AI scientist at Meta and Turing Award winner, has raised over $1 billion for his new startup Advanced Machine Intelligence Labs (AMI Labs) - making it Europe's largest seed funding round ever. Investors include Nvidia, Bezos Expeditions, Singapore's Temasek, and France's Cathay Innovation.
The company was valued at $3.5 billion before the funding round. Alexandre LeBrun, former head of French startup Nabla, serves as CEO, while LeCun will take the role of board chair. The company is launching with about a dozen employees spread across Paris, New York, Singapore, and Montreal.
AMI Labs aims to build so-called world models that understand the physical environment - with applications in areas like robotics and transportation. According to LeCun and LeBrun, today's language models aren't up to the task. Meta isn't an investor but is expected to partner with AMI Labs.
Anthropic has released a code review feature for Claude Code that automatically checks changes for errors before they're merged. Multiple AI agents work in parallel to catch bugs, security vulnerabilities, and regressions. The feature is available as a research preview for Team and Enterprise customers. According to the company, Anthropic has been using the system internally for months. Code output per developer has jumped 200 percent over the past year, turning manual review into a bottleneck.
Before deployment, 16 percent of changes received substantive comments - now it's 54 percent. For large changes over 1,000 lines, the system flags problems in 84 percent of cases, averaging 7.5 issues per change. Less than one percent of findings are marked as incorrect. The system doesn't approve any changes on its own - that stays with the developer. Costs are billed based on token consumption and average between 15 and 25 dollars per review, depending on size and complexity. Admins can set a monthly spending limit.
Anthropic is aggressively building out Claude Code this year. Recent additions include automated desktop functions, remote control for smartphones, a memory function, and a scheduling feature for planned tasks.
OpenAI plans to acquire Promptfoo, a security platform that helps companies catch and fix vulnerabilities in AI applications during development. If the deal goes through, the technology will be baked directly into OpenAI's Frontier enterprise platform, which companies use to build and deploy AI assistants.
The plan is to make automated security testing for prompt injections, jailbreaks, and data leaks a native part of Frontier. OpenAI also wants to beef up oversight, audit trails, and regulatory compliance tooling for enterprise AI deployments.
Promptfoo maintains a popular open-source project that will continue after the acquisition. The deal hasn't closed yet, and neither company has shared financial details. The startup had raised $23 million from investors at an $86 million valuation as of summer 2025.
Microsoft has integrated Anthropic's Claude Cowork technology into Copilot. The new feature lets Microsoft 365 handle tasks more autonomously: users describe what they want done, and Cowork builds a plan that runs in the background, pulling from emails, meetings, files, and data across Outlook, Teams, and Excel. It's essentially Claude Cowork's approach, adapted for Microsoft's ecosystem. Use cases include calendar cleanup, meeting prep, company research, and product launch planning. When something's unclear, Cowork asks follow-up questions and waits for approval before making changes.
Cowork runs within Microsoft 365's existing security and compliance boundaries. It's currently in a limited research preview and is expected to become more widely available through the Frontier program by the end of March 2026.
Microsoft's growing willingness to work with AI providers outside OpenAI is notable. Claude Cowork builds on the principles behind Anthropic's Claude Code, which has picked up serious momentum among developers. OpenAI doesn't offer anything comparable yet, but is working on Frontier, an agent-based B2B framework designed to plug deeper into corporate IT.
