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News

DEV Community
dev.to > sarthakagrawal927 > the-more-aggressive-matmul-kernel-lost-to-the-register-budget-1e2i

The more aggressive matmul kernel lost to the register budget

8+ hour, 7+ min ago   (171+ words) The WebGPU matmul sweep started with a naive kernel, then added 16 by 16 workgroup tiling and a 4 by 4 output block per thread. At a 2048 cubed matrix size, the measured time moved from 47.24 ms for the naive kernel to 17.23 ms for tiling…...

BIOENGINEER.ORG
bioengineer.org > machine-learning-reveals-the-statistical-secret-behind-co-tolerant-high-entropy-alloy-catalysts

Machine Learning Reveals the Statistical Secret Behind CO-Tolerant

4+ hour, 11+ min ago   (632+ words) Fuel cells promise a clean energy future, but a tiny molecule has long stood in their way....

Medium
medium.com > @kuriankevin.dev > vector-store-how-similarity-becomes-something-you-can-actually-search-37462b643553

Vector Store: How Similarity Becomes Something You Can Actually Search

4+ hour, 25+ min ago   (290+ words) A beginner’s guide to how vector stores make embeddings searchable while preserving their connection to the passages and …...

Medium
medium.com > @bilalrouf_78747 > the-accuracy-paradox-why-your-deep-learning-model-lies-to-you-and-how-to-fix-it-d740025bcfa4

The Accuracy Paradox: Why Your Deep Learning Model Lies to You (and How to Fix It)

9+ hour, 59+ min ago   (222+ words) Imagine building an AI system that boasts an impressive 77.16% mean accuracy. You pull the trigger, deploy it to a production pipeline, and confidently assume it’s filtering out junk while surfacing…...

Medium
medium.com > @SulemanSafdar > the-ai-project-i-built-that-finally-made-me-understand-ai-engineering-5ba0d0c06cc5

The AI Project I Built That Finally Made Me Understand AI Engineering

10+ hour, 3+ min ago   (31+ words) I stopped treating AI as a chatbot and started building systems where models, tools, memory, and automation actually worked …...

DEV Community
dev.to > debashish_ghosal > the-model-wrote-the-right-rule-and-my-replay-rejected-it-the-extraction-vs-replay-split-4304

The Model Wrote the Right Rule and My Replay Rejected It: The Extraction-vs-Replay Split

14+ hour, 33+ min ago   (528+ words) CauterRule is an open-source sidecar that learns standing rules from repeated agent failures. It extracts lessons from trajectories, replay-tests them, and tries to separate reusable guidance from noisy overgeneralization. For two releases we treated "the pass rate is low" as…...

Medium
medium.com > @0s.and.1s > llm-discussions-02-train-time-vs-test-time-compute-3ad7194efdee

LLM Discussions (02): Train-time Vs. Test-time Compute

10+ hour, 40+ min ago   (155+ words) Small Models with Deep Thinking Out-perform Frontier Models — But How? If this is the first story you have come across in our LLM Discussions …...

DEV Community
dev.to > lovestaco > seven-patterns-that-decide-if-your-ai-app-survives-10000-users-2e0b

Seven Patterns That Decide If Your AI App Survives 10,000 Users

16+ hour, 7+ min ago   (1404+ words) Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for... Tagged with ai, systemdesign, backend, scaling....

Medium
medium.com > @nipunkhanna > what-changes-when-an-agent-starts-building-the-slides-dc4aaa0b4ad0

What changes when an agent starts building the slides?

13+ hour, 29+ min ago   (402+ words) When we started out in consulting, a large part of an associate’s job happened inside PowerPoint. You learned the shortcuts, borrowed pages from old decks and spent far too long moving boxes by a few pixels because the slide had…...

Medium
medium.com > @lovesdataengg > the-databricks-habit-that-made-my-code-easier-to-read-1b8c0de010ad

The Databricks Habit That Made My Code Easier to Read

14+ hour, 17+ min ago   (35+ words) When I first started learning PySpark, my notebooks had one goal: make the code work. If the output looked correct, I was happy. But after …...