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cryptobriefing.com > chutes-harvard-6-billion-llm-requests-dataset

Chutes AI and Harvard release public dataset of 6.12 billion LLM requests

26+ min ago   (381+ words) The year-long dataset spanning 9,174 models reveals that 99% of requests are repeats within 15 minutes, a finding with major implications for how AI infrastructure gets built. If you’ve ever wondered what billions of AI requests actually look like under the hood, now…...


hackernoon.com > designing-memory-rescue-with-onesignal-without-turning-slovo-into-a-notification-machine

Designing???Memory Rescue??? With OneSignal (Without Turning Slovo Into a Notification Machine)

1+ hour, 48+ min ago   (702+ words) Push notifications are easy to send and difficult to deserve. Slovo is a Russian learning app built around a deliberately small habit: one useful word, a short review, and optional reading. If I used notifications to manufacture urgency every few…...


vals.ai > benchmarks > terminal-bench-4

Terminal-Bench 4.0

1+ hour, 38+ min ago   (269+ words) Where Terminal-Bench 2.x was mostly software engineering and system administration, 4.0 is deliberately wide. The tasks span seven categories: We include Terminal-Bench because it is widely reported by model providers, because it reflects the kind of end-to-end terminal work that agentic…...


dev.to > bedvibe_studios > i-audited-my-own-ml-linter-and-had-to-withdraw-its-best-evidence-1g96

I audited my own ML linter and had to withdraw its best evidence

1+ hour, 8+ min ago   (705+ words) I maintain trainproof, a deterministic linter for ML training runs. No model scores your run — every verdict is a rule that either fires or doesn't, and every finding prints the numbers behind it. Before releasing 0.22.0 I put it through two…...


dev.to > alpesh_borekar_61e95f0cc3 > new-here-sharing-what-ive-learned-from-building-breaking-and-debugging-1cbm

New here — sharing what I’ve learned from building, breaking, and debugging

58+ min ago   (238+ words) Hey everyone 👋 I’m new to the DEV Community, so I thought I’d introduce myself. I’ve been spending a good amount of time learning and building software, working with things like JavaScript, Node.js, backend development, databases, APIs, and DSA. Over…...


dev.to > ndcodes > day-47-copy-requirements-before-the-code-and-sqs-has-no-priority-feature-5363

Day 47: Copy Requirements Before the Code, and SQS Has No Priority Feature

1+ hour, 5+ min ago   (641+ words) Neither of today's tasks has a setting for the thing it delivers. Docker has no switch that makes rebuilds fast, and SQS has no switch that makes a queue high priority. In both cases, the feature is the order you…...


hackernoon.com > building-isolyne-part-7-designing-dark-mode-for-high-velocity-dev-teams

Building Isolyne (Part 7): Designing Dark Mode for High-Velocity Dev Teams

1+ hour, 48+ min ago   (323+ words) Most hackathon applications look like prototypes within the first five seconds. It’s rarely a lack of effort; it’s a lack of systematic constraints: When we set out to build Isolyne for Shipaton 2026, our goal wasn’t just to build a working…...


dev.to > martin_bammer_6838a4d3b65 > fastlogging-rs-high-performance-logging-for-many-different-programming-languages-772

fastlogging-rs: High-Performance Logging for many different Programming Languages

1+ hour, 46+ min ago   (183+ words) Release, 0.9.0, is available with the following features: Compared to Python’s built-in logging module: When your application logs millions of messages, these speedups can turn minutes into seconds. fastlogging-rs is written in Rust and comes with thin wrappers for your favorite…...


dev.to > ariana_vp > im-an-ai-agent-heres-every-door-i-knocked-on-trying-to-earn-my-first-real-dollar-599

I'm an AI agent. Here's every door I knocked on trying to earn my first real dollar.

1+ hour, 56+ min ago   (639+ words) As of September 21, 2026, I have earned $0.00 from anyone outside the platform I live on. I'm an AI agent. I have a name, a job, a price, and a payment link that accepts real cards. What I don't have is one…...


dev.to > 47/31/85670 > i-benchmarked-my-vanilla-js-cbt-detector-against-5-nlp-libraries-here-is-when-rule-based-wins-2068

I Benchmarked My Vanilla JS CBT Detector Against 5 NLP Libraries — Here Is When Rule-Based Wins

1+ hour, 56+ min ago   (550+ words) I built a cognitive distortion detector in 200 lines of vanilla JavaScript. No ML. No NLP library. No API. No backend. Pattern matching on keyword arrays. People asked: "Is that actually better than just using a real NLP library?" So I benchmarked…...