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Policy2026-07-18 · source-backed
The settlement covers failures to disclose information to the regulator on two separate occasions. Penalty size relative to the offense signals NYDFS is pricing candor failures aggressively. Relevant precedent as regulators start scrutinizing AI model disclosures in financial services, where "we didn't mention it" is going to be a very common posture.
Each link below shares sources, entities, or timing with this story.
The same man whose framework a model regression destroyed also published the most aggressive prediction of the week, and the tension between those two facts is the whole argument. "The Shape of Things to Come, Part 1: The Continuous Thunderdome" argues traditional CI/CD collap...
A differential-analysis study attributed 125 functional failures and 182 efficiency regressions to specific loaded skills, with 67 traced to excessive verification loops and 30 to heavy implementation pipelines. arXiv 2608.11888 The failure mode isn't malicious skills, it's pl...
arXiv 2608.04074 reframes KV quantization as transform coding where distortion is measured on the attention product, deriving closed-form optimal transforms from calibration statistics that satisfy a generalized Parseval relation. At two bits per element it recovers most of th...
A Show HN on August 2 (225 points, 58 comments) introduced a Rust userspace translation layer that loads Darwin Mach-O executables on Linux, maps a freestanding libSystem for aarch64-apple-darwin, and translates BSD syscalls. Because guest code runs natively on the CPU rather...
Most backdoor defenses target fine-tuning implants in classification settings, which misses model-editing attacks that bypass the training pipeline entirely and don't extend to open-ended generation. DeCNIP optimizes a cross-entropy loss between harmful prompts with candidate...
Microsoft researchers released efficiency-focused successors in the GigaPath line, covering whole-slide analysis and tumor microenvironment characterization. The "Flash" naming signals the shift in medical foundation models from maximum accuracy to deployable inference cost, t...
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