标签：#law

In Pasadena, California, there's a cute red brick courtyard where one storefront isn't like the rest. The glass doors open onto a sparse industrial hallway, which leads to a sunlit foyer with a large spiral staircase. Go up, and you'll see a typical coworking space: open tables, healthy snacks, a collection of meeting rooms with […]

Today on Decoder, I’m talking with Hayden Field, The Verge’s senior AI reporter, about the major trade secrets lawsuit between Apple and OpenAI and what this tells us about OpenAI’s future. By now I’m sure most Decoder listeners are familiar with Apple’s allegations in this case. The company says a number of ex-Apple employees at […]

A closely watched social media addiction lawsuit that had been set to go to trial next week has been dropped after the plaintiff voluntarily dismissed his claims against Meta, leaving none of the major tech companies facing trial in the case.

A federal judge has signed off on Anthropic's $1.5 billion class action settlement with authors who accused the company of training its AI models on copyrighted books, as reported earlier by Reuters. In an order on Monday, Judge Araceli Martínez-Olguín writes that the settlement will provide "meaningful relief," offering authors around $3,000 for each book […]

TikTok recently settled its portion of the case with the plaintiff ahead of a jury trial that starts next week in Los Angeles. YouTube has also reached a deal, leaving Meta as the only remaining defendant.

Sony Music Entertainment has filed another lawsuit against Udio, accusing the AI music generator of infringing the copyright of more than 30,000 of its songs, ranging from Elvis Presley's Hound Dog to Beyoncé's Say My Name, and Harry Styles' As It Was. The lawsuit, filed in a New York court on Monday, claims that this […]

Pennsylvania cop charged with oppression and obstruction.

AliExpress has been hit with a €550 million (about $629 million) fine for violating Europe's Digital Services Act (DSA) rules by failing to prevent illegal, unsafe, or counterfeit products from being sold on the e-commerce platform. The European Commission ruled that AliExpress didn't take effective measures to reduce the dissemination of illegal products, noting the […]

The manosphere influencers Andrew and Tristan Tate were arrested Saturday in Miami by US Marshals in relation to new rape and sex trafficking charges in England. According to the Associated Press, British authorities are seeking the brothers' extradition. The new charges facing Andrew Tate include seven counts of rape, three of sex trafficking, three counts […]

Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI’s chief hardware officer and claims more than 400 former Apple employees now work at the company. OpenAI’s response so far has been carefully hedged, and the timing couldn’t be worse with the company reportedly eyeing an IPO […]

There are, conservatively, nine thousand tools for running AI agents across your projects. This is number nine thousand and one. I know. Stay a second anyway. Eighteen years of backend work, most of it PHP, most of it through agencies — which is a polite way of saying I've spent my career as a line item in someone else's staffing spreadsheet. Several projects at once, different clients, different timezones, "resource" being the official word for what I am on a good invoicing day. So when AI agents got good enough to do real work, I didn't wonder whether one could write code. I wondered how I'd wrangle a whole fleet of them across projects — which, I eventually noticed, is me trying to become the manager of a little spreadsheet of resources, after eighteen years of being one. The snake found its tail. I built it anyway. Docket, then: a control plane for running OpenClaw agents across projects, made with heavy AI assistance on purpose — the point was to close my own gaps, not to prove I could type from memory. It started as a Bash CLI; it's now a tested Python package. On GitHub, beta, link at the bottom. This is me thinking out loud in public, not selling you anything. And somewhere in that rewrite, the doubt everyone expected me to have — is Bash the right language? — died, and a worse one took its place. That worse one is what this piece is actually about. Let me get there honestly. What I aimed for, not what I mastered I want to say this before the vocabulary makes me sound like I know more than I do. I did not sit down understanding context isolation, or git worktrees per agent, or anti-corruption layers. I sat down wanting clean, stable, maintainable, tested code — and I steered an AI toward that shape until it held together. The shape is real. My grip on every part of it is not the same. What the shape does, plainly: OpenClaw is a local-first agent daemon, great at running one agent. Run a fleet and you hit problems it doesn't solve. Docket runs pods — a Lead t

Suno data obtained in a hacking incident has exposed that the AI music generator was trained by scraping millions of songs and lyrics from online audio platforms, including YouTube Music, Deezer, and Genius, 404 Media reports. Given that Suno has avoided revealing what's in its training datasets and how they were acquired, this a rare […]

Hachette, Cengage, Elsevier, and other publishers allege that Google trained its AI on copyrighted works without the necessary permissions.

Most automation advice assumes you're willing to pay for Zapier or spend weeks learning n8n. The business-automation-architect skill by @1kalin takes a different angle: your AI agent is already capable of running workflows on its own, using cron jobs, scripts, and built-in reasoning. No third-party automation platform required. The Core Premise Your agent has access to APIs, file systems, schedulers, messaging channels, and web tools. That's everything you need to automate business processes without installing anything else. The skill teaches you to think like an automation architect — finding the highest-value processes to automate, designing the workflow, implementing it with agent tools, and measuring the return. The philosophy is grounded: only automate processes that happen at least five times per week OR cost more than thirty minutes per occurrence. Below that threshold, the automation overhead rarely pays off. The 5x5 Automation Audit The first phase is a structured discovery process. The skill provides a scoring matrix across five dimensions — frequency, time cost, error impact, complexity, and number of systems involved. Each dimension is scored 0-3, giving a maximum score of 15. Processes scoring 12 or above are immediate candidates. Those between 8-11 go into the next sprint. Anything below 8 is left manual. The discovery questions are worth asking directly: what breaks when someone is sick? Where do things pile up waiting for a person? What data gets copied between systems every day? These are the real automation opportunities, and they rarely show up in generic automation advice. Designing the Workflow The skill defines a clear workflow architecture template covering triggers, inputs, steps, error handling, outputs, and monitoring. The trigger types supported are schedule (cron), webhook, event, manual, email, and file-based. Steps can be fetch, transform, send, decide, wait, or notify — each mapping directly to what an agent can actually do. Error hand

This essay was written with Nathan E. Sanders, and originally appeared in The Guardian . Opposition to AI data centers has emerged as a primary theme in US politics, one that—surprisingly—doesn’t fall along party lines. We applaud people coming together for constructive debate on any issue, and agree that communities need to evaluate whether any economic benefits these data centers bring is worth their costs. Still, we worry that a focus on data centers obscures the larger impacts of AI on people’s lives: the concentration of power of AI companies, and their widespread political and financial influence...

Broadcom accuses Allstate of dodging VMware audits.

Companies will once again be allowed to scan citizens’ personal texts, emails, and social media messages via the “Chat Control” bill to find child abuse material online.

After more than a decade of pushback, farmers and repair advocates have won access to equipment and services John Deere had long kept under its control.

OwO What's this? 💨✨ A tiny but mighty Mac mini M4 🍎⚡ with 16GB RAM, lots of local AI models 🤖🧠, and a BIG question… 🫣❓ -- an intro by Gemma 4. I have a Mac mini M4 with 16 GB of RAM, a pile of local models, and a very specific dream: Can I run a useful local AI agent that actually does things, but still feels nice to talk to? Not just "can it chat." Not just "can it write a haiku about Kubernetes." I mean: can it inspect the machine, patch files, search current information, use tools, avoid infinite loops, and still keep the cute assistant vibe? That last part turned out to matter more than I expected. My first round of testing was mostly about models. I compared gemma4:latest and ornith:9b inside OpenClaw, my local agent harness. Ornith won because it acted more like an agent. But after another day of testing, the story changed. The model still matters. Ornith is still the local model winner for me. But the harness matters just as much. And right now, my favorite setup is: Ornith + Hermes Agent The Original Question The original question was simple: Can a free local model behave like a useful agent on a small Mac? The machine is modest by AI workstation standards: Mac mini M4 16 GB RAM local model inference local agent harness Telegram or chat-style interface real files, real commands, real web/API checks This was never meant to be a scientific benchmark. No leaderboard. No synthetic score. No fake "reasoning" tasks. I tested practical things I actually care about: Find junk on disk and suggest what is safe to clean. Patch a Python script that fetches Bybit futures data. Search current web/API information and answer a crypto API question. My first conclusion was: Ornith beat Gemma. That is still true. But it was incomplete. The Thing I Missed: Gemma Had the Kawaii Soul ✨ I focused too much on tool use. That was fair, because agents need to act. But I missed something important: Gemma was much better at keeping the kawaii writing style ✨🌸. Gemma's messages were genu

T-Mobile wants Broadcom to keep supporting its VMware perpetual licenses.