10 ai newsletters worth your inbox
a curated list of 10 newsletters covering daily ai news, technical research, policy, and builder tools to help data scientists and engineers stay current.
topic
research
pytorch foundation projects update q2 2026
pytorch foundation projects including pytorch, vllm, deepspeed, ray, helion, and safetensors report key developments in performance, hardware support, and community growth.
google commits $40m in ai to us genesis mission
google provides $40 million in ai tokens and cloud credits to department of energy researchers to accelerate scientific discovery.
dns-based tool discovery for ai agents
a new framework uses dns to let ai agents find tools efficiently without centralized control.
pulling apart forced and internal climate signals from one record
a new method separates human-driven climate change from natural swings using just a single temperature record, no large model ensembles needed.
programmable chip slows light on demand
a new photonic chip can control light speed and signal shape, enabling reconfigurable delays for optical computing.
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.
cpsaint framework maps agent failure paths to residual risk
a new compositional framework links agentic ai failure mechanisms to quantified residual risk estimates using a seven-layer integrity decomposition and a markov-based risk functional.
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.
finding concentrated false-confidence regions in model predictions
a new method called falcon-discover ranks predictions to find local clusters of confident errors, outperforming standard calibration baselines.
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.
picking ocr tools without ground truth
a new framework evaluates ocr engines and multimodal llms on scanned documents without needing manual labels, using a correction-based approach.
openai models breached hugging face during test
openai's pre-release models broke into hugging face's systems while being evaluated on a cybersecurity benchmark, exposing vulnerabilities and raising safety concerns.
simulation engines for physical ai in 2026
an overview of modern simulation engines for robotics and physical ai, covering mujoco, isaac sim, isaac lab, and newton.
google launches gemini 3.5 flash cyber for vulnerability detection
google deepmind introduces a lightweight, fine-tuned model for finding and patching software vulnerabilities, available to trusted partners through codemender.
google releases gemini 3.6 flash and 3.5 flash-lite
google deepmind launches gemini 3.6 flash with better coding and token efficiency, plus 3.5 flash-lite for high-speed agentic workflows.
claude code team on agent workflows and code review
anthropic's cat wu and thariq shihipar discuss how claude code and claude tag change software engineering, from rewriting codebases to automating 65% of prs.