AI Briefing — Monday, July 13, 2026
What mattered in AI on Monday, July 13, 2026 — curated from 15+ sources.
Top stories
MIT's New Method Flags AI Models Trained on CASM Without Generating It
Satya Nadella has issued a shocking warning to companies using AI
Of all the debates raging about the potential downsides of AI, there is one worry causing the most hand-wringing among AI enthusiasts in Silicon Valley — that the giant AI labs that sell proprietary models are somehow a…
Show HN: YouTube Guitar Tab Parser
I created a simple CLI that turns a YouTube guitar-lesson video into a PDF of the guitar tab. There are services that transcribe music from Youtube videos into tabs, but they never work well enough f…
Samsung Health app threatens data deletion if users opt out AI training
Show HN: I implemented a neural network in SQL
Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, wh…
The wildest allegations in Apple’s trade secrets lawsuit against OpenAI
Apple’s trade secrets lawsuit against OpenAI contains allegations that range from employees joking about unauthorized access to Apple’s systems to claims that job candidates were asked to bring Apple hardware to intervi…
Show HN: BillAI Bass, an AI-Powered Big Mouth Billy Bass Using Strands Agents
Should AI help you get away with killing your spouse?
What does a world of total user-aligned AI actually look like?
Show HN: Jacquard, a programming language for AI-written, human-reviewed code
I'm fascinated by the generative AI wave rolling over us, and wondered if AI could create a language that it might prefer using over the ones created by and for humans. To create the design, I had AI…
Deep dives worth reading
Profiling in PyTorch (Part 3): Attention is all you profile
Data for Agents
Native-speed vLLM transformers modeling backend
From Hugging Face to Amazon SageMaker Studio in one click
Hugging Face Models on Foundry Managed Compute
Research paper of the day
PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis
Current electroencephalography (EEG)-based dream detection relies on power spectral density (PSD) and statistical moment features, achieving a state-of-the-art area under the receiver operating characteristic curve (AUC…
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