mixing-free graph recovery from glauber dynamics
new algorithms recover gaussian graphical models from a single trajectory without mixing time dependence, matching information-theoretic lower bounds.
topic
data science
batchdag uses llm-planned graphs for enterprise data analysis
batchdag lets llms create execution graphs to answer complex questions over large datasets without context limits or slow sequential calls.
bandit convex optimization is harder than linear bandits
a new lower bound shows stochastic bandit convex optimization requires at least d^{5/4} sqrt(t) regret, proving it is fundamentally more difficult than linear bandits.
five free courses to become an ai practitioner
a curated roadmap of five free courses takes you from classical ai algorithms to building large language models from scratch.
daily brief: 2026-07-21
google ships three gemini flash models, data center power use forecast to quadruple, and a guide to running a local coding model with llama.cpp.
run mythos coding model locally with llama.cpp and pi
a guide to running the qwythos-9b-claude-mythos-5-1m model locally using llama.cpp and connecting it to pi for agentic coding tasks.
split forward gradients cut memory in deep network training
a new method splits networks to avoid storing activations during backpropagation, reducing memory use while keeping training stable.
isotonic conformal prediction
a new method for reliable uncertainty quantification that is computationally efficient and achieves self-calibration and prediction-conditional validity.
daily brief: 2026-07-20
nvidia shrinks world models for the edge, youtube cracks down on ai slop, and a practical guide to claude code.
setting up claude code for real agentic work
a practical guide to configuring claude code beyond defaults, covering key files, permissions, hooks, and commands for sustained high-performance use.
five mcp servers that actually improve agent capability
a practical selection of model context protocol servers chosen for real agent performance gains, not popularity.
retraining seeks stable signals
new research shows retraining converges to a fixed point when prediction targets have a small model-independent component, even under strong performativity.
correcting noisy human labels in automated classifiers
a new method uses adjudicated cases to fix noisy human audit labels and debias analyses from automated classifiers.
weekly brief: 2026-07-13-2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
daily brief: 2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
eu ai act: your systems may already be high-risk
new eu guidelines clarify that an ai system's intended purpose, not just its technical function, can make it high-risk under article 6.
daily brief: 2026-07-17
nvidia and hugging face simplify diffusion model training, patreon blocks ai scrapers, and a new method boosts zero-shot image classification.
git worktrees for parallel ai agents
git worktrees let you run multiple ai agents in isolated directories from one repository, avoiding file conflicts and context loss.