daily brief: 2026-07-13
apple sues openai over trade secrets, brain decisions start earlier than thought, and anthropic localizes claude pricing for india.
topic
data science
outlines brings deterministic structure to llm outputs
outlines is an open-source library that enforces structured output from large language models by masking invalid tokens during generation.
five sql projects for a data portfolio
practical sql projects covering churn, warehousing, sales, banking, and healthcare to show real business problem-solving.
deep gaussian processes on directed acyclic graphs
a new framework extends deep gaussian processes to directed acyclic graphs, enabling better modeling of complex, partially observed processes with theoretical guarantees on information preservation.
generative patient twin guides sepsis treatment at inference time
a new framework uses a generative ehr model as a patient digital twin to optimize sepsis treatment through model predictive control, adapting to changing goals without retraining.
sqlite-utils 4.1.1 fixes destructive foreign key bug
sqlite-utils 4.1.1 prevents silent data loss when transforming tables with foreign keys and adds cross-referenced documentation.
daily brief: 2026-07-12
sqlite-utils gets code-based inserts, openai targets families as chatgpt users age, and ar glasses spark privacy debate over constant recording.
daily brief: 2026-07-10
sk hynix's record ipo, kernel fusion tricks, and trust exploitation by ai agents lead today's ai news.
local video summarization with smolvlm2-2.2b
a pipeline that runs on consumer gpus to summarize videos by extracting frames and analyzing them with a small vision-language model.
drift lipschitz budget controls diffusion policy expressivity
a new study shows that the drift lipschitz constant k determines how well diffusion policies approximate optimal actions and how they behave statistically with finite data.
score matching simplifies bayesian experimental design
a new method separates score matching from policy training to make adaptive experiment design cheaper and more scalable.
prediction-powered active testing cuts labeling costs
a new method uses model predictions to reduce variance in risk estimation while keeping estimates unbiased, and it adaptively selects which test points to label.
automate descriptive statistics in python
learn to build a repeatable pipeline for generating publication-ready summary tables from raw data using python tools.
run openclaw with ollama for private ai assistant
set up a private ai research assistant on telegram using openclaw and ollama, with web search and docker deployment.
value of information with imprecise probabilities
a new approach to value-of-information analysis when probabilities are not precisely known, using decision-rule-specific values and fixed-measure envelopes on credal sets.
daily brief: 2026-07-08
openai launches full-duplex voice models, prime intellect raises $130m for custom ai agents, and meta faces privacy backlash over ai image tools.
open data and synthetic data for ai agents
nvidia nemotron releases open datasets and a prompt atlas to help developers build inspectable, reliable ai agents using synthetic data.
a hierarchy of policy learning problems
a new framework organizes policy learning tasks by data requirements, from detecting improvement to minimizing regret.