Urgent.News

What's breaking now, across thousands of outlets.

Tech

NYT Connections hints and answers for Monday, September 14 (game #1191)

Looking for NYT Connections answers and hints? Here's all you need to know to solve today's game, plus my commentary on the puzzles.

NYT Connections hints and answers for Monday, September 14 (game #1191)

The New York Times' Connections puzzle for Monday, September 14 (game #1191) challenges players to group words into four categories. The words for the day are STRAW, CRAB, COOT, LEMON, BLUE, CANARY, TEAL, RAT, LOON, BAG, WHEAT, CUTLERY, SNITCH, GOOSE, STIRRER, and STOOLIE. Hints provided include grouping aquatic fowl (YELLOW), tell-tale words (GREEN), disposable single-use plastic items (BLUE), and adding a green word (PURPLE).

The answers are WATERBIRDS (COOT, GOOSE, LOON, TEAL), INFORMANT (CANARY, RAT, SNITCH, STOOLIE), COMMON SINGLE-USE PLASTIC ITEMS (BAG, CUTLERY, STIRRER, STRAW), and BLUE, CRAB, LEMON, WHEAT. The puzzle is rated as hard with a score of 3 mistakes.

Brief written by urgent.news from TechRadar's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at techradar.com →

More in Tech

API Rate Limiting: What Actually Breaks When You Get It Wrong

Most teams add rate limiting to their API as an afterthought — usually right after something has already gone wrong. A scraper hammers an endpoint, a client integration goes into a retry loop, or a…

  • Simply setting a single request limit is insufficient as all requests don't have equal costs.
  • Centralize rate limit counters across multiple instances to prevent overloading the system.

At the edge, the number that matters is memory - not throughput (specially in Ramageddon)

We rebuilt LF Edge eKuiper in Rust and ran it against eKuiper, Telegraf and Redpanda Connect on five real MQTT workloads — one core, 1 GB of memory, and output checked message-by-message.

  • Memory usage, not throughput, is key metric in resource-constrained environments
  • Rekuiper, Rust-based engine, maintained memory usage between 5 and 10 MB
  • Design choices include bounded queues, incremental window aggregation, offline sink cache

My Extraction Score Was 0.08 and the Model Was Innocent: Rebuilding the Ruler

Update — v0.3.1 released. CauterRule is now live on GitHub and PyPI . It turns repeated agent failures into permanent standing rules — extract, replay-test, promote.

  • CauterRule tool evaluates cloud models across 40 corpora and 4,742 trajectory-runs
  • Extraction-accuracy metric initially 0.08, later adjusted to focus on trigger portion
  • Adjusted metric shows agreement scores from 0.74 to 0.93, accurate performance representation

More from Sunday 13 September →