Solution to Feynman’s reverse sprinkler puzzle also applies to “silly sprinklers”

Researchers at New York University’s Courant Institute conducted a series of experiments with different silly sprinkler ...

Your AI Rollout Isn’t The Problem. Your Operating Model Is.

A colleague told me recently that his team had consumed over a million AI tokens last month. I asked how much cost he had ...

OpenAI Intros GPT-Live Models: What Does That Mean?

GPT-Live enables natural real-time conversations, but experts caution against mistaking convincing AI behavior for human ...
HackerNoon

4,900 Stars in One Week: This Repo Went Viral by Unpacking the Hidden Instructions Behind AI Models

Explore the GitHub repository exposing leaked system prompts from ChatGPT, Claude, Gemini, Cursor, and more—and what they ...

How to Reduce AI Token Costs Using Prompt Management and Caching

Reduce AI tokenomics expenses using semantic caching and strict response limits. Output tokens cost more than input tokens ...
TDWI

From Reactive to Proactive: Automating Data Quality in Petabyte-Scale Analytics Pipelines

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Google AI Models Explained: Gemini, Veo, Nano Banana & More

Learn what Google’s major AI models do, including Gemini, Veo, Imagen, Nano Banana, Gemma, Lyria, Chirp, and Gemini Nano.
GitHub

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark.

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...