~hackernoon | Bookmarks (2034)

View the user intent and conversation domain taxonomies automatically generated by TnT-LLM and refined by human calibration for text classification.

Hardcoded secrets in GitHub repos are a rising threat. Developers may leak sensitive data like API keys and passwords. DAST/SAST tools fall short, missing many external risks. Security teams must use threat intelligence tools and monitor public code, dark web, and Telegram to identify leaks and prevent breaches.

TnT-LLM automates text mining, enabling efficient taxonomy generation, LLM-augmented classification, and democratized access to text insights for various applications.

Altcoins are underperforming due to liquidity issues, institutional caution, and macro pressures, but user activity remains high. Valuation metrics reveal potential market-neutral opportunities amid uncertainty. The future of altcoins may hinge on utility, regulation, and institutional reentry.

Kashmir is undergoing a digital transformation, shifting from traditional crafts to modern tech skills like CRO, design, and digital marketing. With a strong internet base and youth literacy, it’s time to nurture local talent through education reform and tech integration—blending heritage with a digital future.

Summary of TnT-LLM findings: automated taxonomy generation outperforms clustering, LLMs are effective evaluators (with caveats), and LLM-annotated data yields efficient classifiers comparable to direct LLM use.

We explore using GPT-4 for large-scale text annotation and train lightweight classifiers on these labels, comparing their accuracy and efficiency to direct LLM classification for user intent and domain.

We evaluate TnT-LLM for automated text taxonomy generation, comparing its accuracy and relevance against embedding-based clustering methods using human and LLM evaluation.

AI is revolutionizing private student loans by enhancing risk assessment, streamlining servicing, detecting fraud, and personalizing terms. Lenders now use alternative data, automation, and predictive tools to expand credit access, cut costs, and support students. With ethical safeguards, AI offers a smarter and more inclusive lending future.

This week, HackerNoon features GetBlock - a Blockchain-as-a-Service (BaaS) platform that makes API connections to full nodes seamlessly.

Decentralized cloud is a more secure, transparent, and user centric infrastructure, that address the drawbacks of traditional cloud (centralized models) Aleph Cloud leverages on peer-to-peer networks to enhance resilience, privacy, and cost effectiveness, to offer a promising edge for businesses.

Tariff wars spark market turmoil; Bitcoin dips then rebounds as investors eye it as a hedge amid growing global economic uncertainty.

How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. Central Banks Are Panic-Buying Gold. You Should Be Asking Why By @vladimirgorbunov [ 3 Min read ] In 2025, gold and Bitcoin...

Solo Satoshi announced distributing over 10,000 Bitaxe miners, adding 10 petahashes to Bitcoin’s network, driven by a chaotic flash sale. Created by @skot9000, the Bitaxe is a compact, open-source device enabling bitcoin home mining. It counters centralization fears with low power use and accessibility, empowering plebs globally to strengthen Bitcoin’s decentralized future.

Don’t tie your identity to one thing. Diversify who you are so you don’t fall apart when life does.

Dropped domains often come with backlinks from trusted, high-traffic websites. So if you find a dropped domain that’s still getting traffic, you can buy it and redirect those visitors to your own site. Getting new visitors to a site boost your SEO by speeding up page indexing and boosting your rankings on Google.

While "AI agent" is indeed a term enjoying significant buzz, understanding its core meaning – an AI tool capable of autonomous action towards a goal – is crucial.

The MONTH function in Excel is used to extract the month number (1 to 12) from a given input date.

The MINUTE function is used to extract the minute portion from a given input time value and returns the output as the numerical value.

How to deeply and actively listen is a transformative skill that improves relationships, reduces conflict, and helps people grow.

This Guide explains the steps to export custom Prometheus metrics (counter, Gauge, Histogram, Summary) from your Go application and query/visualize from Grafana. Also recommends some best practices to follow when defining metrics.