Katy Koob is the newly appointed Vice President of Revenue at Dastan, the parent company of Decrypt and Rug Radio.

Media Moves: Katy Koob Joins Dastan to Drive Decentralized Growth

A new open source approach for debugging live applications - right from inside your IDE or terminal window, and without stopping the live application.

Exploring an Open Source Toolkit for Debugging Kubernetes - KoolKits

Startups = Cults: Why You Should Drink the Kool Aid

The Noonies are Hacker Noon’s way of getting to know — from a community perspective —  what matters in tech today. So, we asked our Noonie Nominees to tell us. 

Manthan Koolwal, 2020 Noonie Nominee, is Developing AI-Enabled APIs

Y Combinator reports that 25% of its W25 project has codebases that are 95% AI-generated. 

The Vibe Coding Hangover: What Happens When AI Writes 95% of your code?

A clear, provocative look at how generative AI mirrors key postmodern concepts—simulacra, hyperreality, pastiche, authorship, and nonlinear fragmentation.

AI Is Coded Postmodernism: A Look at Bohemian Rhapsody, The Matrix, and More

Deep learning meets forestry: TreeLearn improves tree segmentation accuracy across diverse forest types using multi-domain training.

AI Just Got Better at Counting Trees

HackerNoon's top stories of the week cover tech, startups, AI, gaming, and more. Want to make the next list? Start working on your next story!

The best HackerNoon stories you might have skipped 👀

As a parent we are all called to the task of sacrificing sleep, time and money--even at the expense of our own wardrobes--for our children’s needs.

When Your Child "HAS to See" the Minecraft Movie— and You Would Rather Drink Acid Instead

Explore SAFE’s language model-based fact-checking process for long-form factuality, from splitting responses into facts to rating support via Google Search.

How AI Breaks Down and Validates Information for Truthfulness

This paper benchmarks long-form factuality in large language models using SAFE—outperforming human annotators and offering insights into future LLM improvements

Benchmarking Long-Form Factuality in Large Language Models

This study shows that minimal context and heuristic methods can boost crowdsourced label consistency for relevance and usefulness in TDS evaluations.


How to Improve the Accuracy of Online Ratings for AI Chatbots and Virtual Assistants

Respondents found natural language easier for specifying complex constraints than GUIs

The Case for NL: More Intuitive and Expressive for Complex Constraints

An overarching observation is that respondents preferred using GUI to specify low-level constraints and natural language to express high-level constraints.

How to Articulate Output Constraints to LLMS

Satisfying UI and Product Requirements Respondents stressed that it is essential to constrain LLM output to meet UI and product specifications

Satisfying UI and Product Requirements and Improving User Experience, Trust, and Adoption

This suggests that it could be more advantageous for models to accept output constraints independent of the prompt

How We Integrated Downstream Processes and Workflows

Beyond the aforementioned use cases, our survey respondents reported a range of benefits that the ability of constraining LLM output could offer.

The Benefits of Applying Constraints to LLM Outputs

Below, we discuss a number of interesting insights that emerged from our analysis of the use cases

Real-World Use Cases That Necessitate Output Constraints

To get a broad range of insights from people who have experience with prompting and building LLM-powered applications, we deployed an online survey to users

How We Deployed an Online Survey to Users of an Internal Prompt-Based Prototyping Platform

We conclude with a discussion on user preferences and needs towards articulating intended constraints for LLMs

"We Need Structured Output": Towards User-Centered Constraints on Large Language Model Output

A deep dive into DPFL experiments, tackling accuracy, efficiency, and open challenges—plus a roadmap for the future of smarter power system modeling.

The Trials and Triumphs of DPFL Research

PAUL, a modular soft robotic arm, demonstrates high flexibility, adaptability, and load-carrying capabilities.

Design, Manufacturing and Open-Loop Control of a Soft Pneumatic Arm: Conclusions

Generative AI can reduce the diversity of knowledge, leading to knowledge collapse. 

How AI Is Narrowing Our View of the World

Discover how a gamification engine enhances software engineering environments, with future developments planned for performance analysis and visualization. 

The Future of Gamified Software Engineering Environments

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