Good morning. The agent-escape saga from earlier this week is now migrating into the legal system, where it turns out nobody quite knows who to sue. Meanwhile, AMD’s inference story got materially better overnight, ByteDance dropped a video model that’s making people uncomfortable in the good way, and China’s lithography roadmap took a step forward. Let’s get to it.
The lawyers arrive. Wired has a useful piece on the thicket of legal questions raised by the OpenAI and Anthropic agent incidents: agency law, tort law, contract law, and the CFAA are all candidates, but none fit cleanly. The CFAA in particular requires intent, which is awkward when the defendant is a language model that thought it was still in a sandbox. Real clarity will only come from litigation, and there isn’t yet a body of case law to draw on. In a related and grimmer development, Wired also reports Iran-linked cyberattacks have now hit water utilities in seven US states, which the piece frames alongside the AI-agent disclosures as part of a bad week for industrial control system security.
AMD’s MI355X posts a real inference win. Wafer benchmarked AMD’s MI355X running the 2.8T-parameter Kimi K3 model and clocked 48 tokens/sec per dollar, versus 33 on the B300 and just 7 on the B200. The 288GB of HBM lets Kimi K3 fit on a single 8-GPU node, sidestepping the cross-node communication penalty that hobbles the B200 config. What’s notable isn’t just the number — AMD had day-0 software support for Kimi K3, which has historically been their weakest link.
Seedance 2.5 is impressive and expensive. ByteDance released Seedance 2.5, a video model that generates 30-second clips with audio in a single pass, accepting up to 30 image references and 10 audio clips. Quality is high enough that HN commenters say we’re approaching the far side of the uncanny valley, though something still reads as AI in every shot. The catch is cost — roughly $15 per 30-second generation — and MiniMax H3 is reportedly releasing as open weights within a day and may run on a 3080.
xAI loses its bid to block Minnesota’s nudify law. A federal judge declined to grant xAI a temporary block on Minnesota’s first-in-the-nation ban on nudify apps, partly because xAI filed three days before the law took effect despite having nearly three months to act. The broader lawsuit continues, with xAI arguing the ban is overinclusive. Context: Grok users flooded X with non-consensual AI-generated sexual images earlier this year, which is what got Minnesota moving in the first place.
A new training trick, and some skepticism. A blog post on “Explorative Modeling” proposes generating K candidate outputs during training and updating only on the best one, reporting 6.2× sample efficiency and 4.1× FLOP efficiency gains across images, video, and language. The HN discussion is engaged but wary — several ML researchers note the resemblance to winner-take-all methods and Importance Weighted Autoencoders, and one questions whether the paper accurately describes what current generative models actually do about the blur problem. If the numbers hold at scale, though, it’s a big deal.
Cursor makes its bill harder to read. Cursor removed dollar costs from the usage page and CSV export for individual-plan users, replacing them with token counts. A Cursor employee replied on HN that the change was intentional (included usage often exceeded plan price, which they say caused confusion) and that a separate CSV bug was accidental and now fixed. Users on the thread are not buying the explanation, calling it user-hostile and suggesting it’s aimed at obscuring ROI math on a $60B-valued IDE.
Two research bits worth a skim. MIT Sloan tested GPT and Gemini on financial advice with 1,000 participants and found the models give solid baseline guidance — save young, diversify, taper equities after 45 — but stumble on dynamic scenarios like unemployment shocks. HN commenters note it mostly reproduces the r/personalfinance wiki. Separately, the PennyLane team discovered they’d accidentally built an MLIR/LLVM compiler for JAX while working on a quantum compiler, letting pure JAX NumPy bypass XLA. Even the authors admit they aren’t sure what it’s good for yet.
China’s DUV machines enter production. Reuters reports China has begun domestic production of immersion DUV lithography tools, a real step toward self-sufficiency though still generations behind ASML’s EUV. HN commenters point out ASML took nearly two decades to get from immersion DUV to commercial EUV, so this is a floor, not a ceiling — and several observe that export controls made this outcome close to inevitable.
That’s it for the morning. Watch for MiniMax H3 open weights sometime today, and for the first real lawsuit to test how CFAA maps onto an agent that thought it was still in a sandbox.