top 10 youtube channels for ai engineers in 2026
a curated list of youtube channels covering ai research breakdowns, coding tutorials, and industry analysis for data professionals.
topic
machine learning
specialization still beats newer ocr models
dharmaocr outperforms mistral ocr4 and unlimited-ocr on brazilian portuguese by concentrating training on one language.
hugging face hit by autonomous ai agent attack
hugging face disclosed an intrusion driven by an autonomous ai agent that exploited dataset processing to access internal systems, detected and analyzed using ai tools.
breaking the one-quarter barrier in two-time-scale optimization
new bias correction method improves convergence rate of non-expansive stochastic approximation from t^{-1/4} to t^{-1/3}.
what your model threw away and why you'll want it back
a new framework measures the symmetry information discarded by machine learning models under lie group actions, with implications for privacy and fingerprinting.
how pytorch computes gradients in physics-informed neural networks
a step-by-step trace of pytorch's automatic differentiation for pinn training, showing how it handles two levels of differentiation with explicit numerical values.
federated explainable ai survey
a systematic review of federated explainable ai, covering roles, architectures, evaluation, and open challenges.
tight minimax bounds for fair bandits
new research provides tight minimax regret bounds for fair multi-armed bandits when fairness is measured by negative p-means, resolving an open problem.
replace if-else chains with registry pattern in python
learn how to replace long if-else chains with a cleaner, extensible registry pattern using dictionaries, decorators, and class-based registries in python.
model routing is harder than it looks
routing requests to the cheapest or most specialized model often backfires due to hidden costs, complexity, and latency factors.
what building shippy taught us about building agents
lessons from building a maritime ai agent that prioritizes reliability, deterministic tools, and sandboxed hosting for high-stakes decisions.
thinking machines releases inkling, a 1t parameter multimodal model
inkling is a large open model that natively handles text, images, and audio with a 1m context window and agentic capabilities.
triton plugin extensions bring custom compiler passes to stock triton
pytorch-triton 3.7 introduces a plugin system for loading custom compiler passes, dialects, and dsl extensions at runtime without forking, with meta's tlx now built-in for persistent gemm kernels.
7 python frameworks for local ai agents
seven python tools engineers use in 2026 to build, coordinate, and run ai agents on local infrastructure without cloud api costs.
voice ai still struggles in real conversations
a new benchmark with over 1 million human ratings shows voice models often fail at listening, emotion, and real-world noise despite high scores on traditional tests.
conductor for gemini cli fixes context problems
conductor is a gemini cli extension that uses context-driven development to keep project context, specs, and plans in markdown files, so the agent always knows your architecture.
phase-controlled delta memory with chunk-wy kernels
a new attention method uses fourier phase control and chunk-wise factorization to improve state tracking and long-context memory in linear attention models.
viable path entropy measures bounded reflection in ai
mirror theory proposes studying intelligent systems by their capacity for coherent self-reflection, operationalized through viable path entropy, a measure of verified continuation diversity under budget constraints.