datasette agent brings ai chat to sqlite data
datasette agent is a new extensible ai assistant that lets users query datasette databases through conversation and generate charts via plugins.
topic
data science
best small language models on hugging face now
a curated look at top small language models under 7b parameters on hugging face, with benchmarks and code to get started.
10 github repos to master quant trading
a curated list of github repositories covering strategies, frameworks, and tools for systematic quantitative trading development.
sql window functions for real business problems
practical patterns for running totals, sessionization, cohort analysis, and percentile ranking using sql window functions.
daily brief: 2026-05-20
google i/o 2026 reveals new ai agents and models, while startups tackle desktop automation, email security, and music generation.
anonymize production data with mimesis
learn to use the mimesis python library to replace sensitive personal data with realistic fake data for safe data science work.
learning lagrangian multipliers for milp with guarantees
new research provides statistical learning bounds for using machine learning to predict lagrangian multipliers in mixed integer linear programming, showing generalization scales with problem size and sample count.
dual-channel tensor neural networks with finite-sample guarantees
a new neural network processes tensor data by splitting it into low-rank and sparse parts, with proven error bounds and automatic structure selection.
conformal prediction via transported beta laws
a new framework uses beta distributions to measure calibration-conditional coverage in conformal prediction, providing bounds on coverage gaps and bad-calibration probabilities under non-i.i.d. settings.
daily brief: 2026-05-19
andrej karpathy joins anthropic, new rerankers and python tools arrive, and research pushes ai agents toward safety and efficiency.
python libraries for data engineering in 2026
a roundup of ten python libraries that improve data pipeline speed, reliability, and maintenance across orchestration, ingestion, quality, and storage.
getting the most from claude cowork
claude cowork is an autonomous agent in the desktop app that works directly with your files to plan and deliver finished documents, reports, and organized folders.
risk-aware policy learning for offline bandits
a new method learns safe decision rules from logged data using general risk measures like cvar, with strong theoretical guarantees.
daily brief: 2026-05-18
musk's openai lawsuit dismissed, new tools for local ai and ocr, and research on hidden bias in language models.
the hidden skill gap beyond sql and python
data jobs now demand data modeling, performance optimization, infrastructure awareness, and practical ai skills beyond basic sql and python.
five practical uses for local language models
a technical writer shares five real-world tasks done with local llms, from private document search to offline assistants and code review, showing local models can be better than cloud for privacy and control.
oracle price map learning for contextual pricing
a new method learns the optimal price as a smooth function of a scalar index, improving revenue in semiparametric dynamic pricing.
alpha-tcav fixes statistical flaws in concept-based explainability
a new framework replaces the unstable indicator function in tcav with a smooth parameterized function, reducing variance and unifying existing methods.