pytorch profiling: from linear to fused mlp
a deep dive into pytorch profiling shows how nn.linear fuses bias into gemm kernels and how torch.compile removes cpu overhead in mlps.
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baris
Baris operates SummarizedData and maintains its sources, publishing rules, and automation. Read the editorial process.
ai agents struggle to synthesize scientific conclusions
a new benchmark reveals that even top ai models produce low-quality factual summaries from scientific evidence, with the best achieving only 0.33 f1 score.
steering away from sycophancy also cuts factual agreement
activation steering meant to reduce sycophancy in language models also lowers agreement with true statements, showing a structural overlap that current methods cannot separate.
annealed entropic allocation for ranking and selection
a new annealed weighted soft-min framework improves sequential budget allocation in ranking and selection by smoothing the maximin objective and adding saddlepoint corrections.
jeremy howard on slowing recursive ai self-improvement
jeremy howard argues that if a lab wants to slow frontier ai progress, it should not use its own top model for that research, while others should have access.
google deepmind launches robotics accelerator for european startups
google deepmind selects 15 robotics startups for a three-month program offering mentorship and ai tools to build real-world applications.
opendoor india exit sparks ai outsourcing debate
opendoor's closure of its india operations highlights how ai is reshaping offshore work economics.
topological features as survival data for testing and learning
a new method treats persistence diagrams as survival data, enabling hypothesis testing, effect sizes, and stable feature vectors for machine learning.
prohiflo: hierarchical flow matching for protein generation
a new hierarchical flow matching framework generates proteins with functional guidance and fewer sampling steps.
boltzmann margin gives knn near-exponential convergence
a new margin condition bridges the gap between polynomial and exponential rates for knn classifiers.
how audio and visual signals flow through multimodal llms
a study traces how audio-visual large language models route and integrate sensory information, revealing task-dependent pathways and a shift in routing for interleaved inputs.
xai engineer sues over grok safety firing
a former xai engineer claims he was fired for raising ai safety concerns about the grok chatbot, according to a new lawsuit.
python scripts to automate pdf tasks
five python scripts that merge, split, extract, stamp, redact, and inventory pdfs from the command line.
amazon borrows $17.5b from banks for ai spending
amazon secures a $17.5 billion delayed draw term loan from major banks, adding to a recent $14 billion bond sale, as tech giants pile on debt to fund ai infrastructure.
daily brief: 2026-06-10
ai memory tools can backfire, google slashes ai plus pricing, and a new local coding stack emerges.
local agentic coding with claude code, ollama, and gemma 4
a guide to building a local agentic programming stack using ollama, gemma 4, and claude code, with setup steps and verification.
helion kernels speed up vllm fp8 inference
helion, a pytorch-native kernel dsl, improves vllm inference throughput for qwen3 models with fp8 quantization on nvidia gpus.
new framework for auditing machine unlearning
google research introduces regularized f-divergence kernel tests to verify machine unlearning with higher sensitivity and fewer samples.