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From April 23, 2025

1

Embeddings 101: Unlocking Semantic Relationships in Text

Text embeddings power AI language understanding. Learn how words become numbers that machines can interpret and why it matters.

@riteshmodi
12,351 new reads
2

The Best TV Series Set In Post-Apocalyptic Wastelands

Explore the top post-apocalyptic TV shows where survival, zombies, and dystopias take center stage in epic world-ending stories.

@@Zohan
6,853 new reads
3

Hallucination by Design: How Embedding Models Misunderstand Language

Embedding needs to be tested and evaluated; otherwise, hallucinations will happen. Experiment and evaluation on custom data is a must

@riteshmodi
5,198 new reads
4

Hallucinations by Design (Part 2): The Silent Flaws of Embeddings & Why Your AI Is Getting It Wrong

Embedding and LLM's needs to be tested and evaluated or hallucinations will happen. Experimentation and evaluation on custom data is...

@riteshmodi
3,665 new reads
5

Hallucinations by Design - (Part 3): Trusting Vectors Without Testing Them

Embedding and LLM's needs to be tested and evaluated or hallucinations will happen. Experimentation and evaluation on custom data is...

@riteshmodi
3,553 new reads
6

xAI’s Grok 3: All the GPUs, None of the Breakthroughs

Elon claimed Grok 3 was the world's best AI. Two months later, how does it really stack up against GPT-4o,...

@lee.aao
1,718 new reads
7

SeaTunnel + Bedrock + OpenSearch = AI That Gets What You’re Saying

Build scalable semantic search with SeaTunnel, Amazon Bedrock, and OpenSearch—transforming raw text into smart, AI-powered vector search pipelines.

@Apache
1,248 new reads
8

TnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models

This paper presents TnT-LLM, a framework leveraging LLMs to automate large-scale text analysis, including automated label generation and efficient classifier...

@languagemodels
1,066 new reads
9

Evaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics

We evaluate TnT-LLM's text classification using human annotation agreement and scalable LLM-based metrics for accuracy and performance at scale.

@languagemodels
847 new reads
10

Integrating JavaScript into Crypto Trading Apps: Challenges & Solutions

Discover how integrating a TypeScript SDK into native crypto apps enhances stability, reduces errors, and improves mobile trading experiences.

@evedex
773 new reads
11

Where Were You When the World Shut Down? I Was on BreachForums.

It was just another scroll through the usual: freshly dumped data, stolen credentials, drama between low-tier skids and ego-filled “veterans,”...

@blackheart
741 new reads
12

The Decentralized Internet Could Turn Us Into a Type-1 Civilization. The Alternative? Mass Slavery

My grandfather helped put a man on the Moon. I’m fighting for something just as radical: a free and decentralized...

@jroseland
672 new reads
13

Skeptical Engineer Tries AI Coding Agent, Walks Away a Believer

Agent-powered coding is real—and when managed like junior devs using the "stdlib" approach, AI agents can build production-grade software.

@ihorkatkov
565 new reads
14

This Illegal Android Hack Will Make You a Better Parent

I built a script that connects to your Android device wirelessly and keeps an eye on its volume.

@sergeishaikin
553 new reads
15

This Color Tool Turns Any Image Into a Wes Anderson Fever Dream

Ditch RGB. Use LAB to extract, apply, and fine-tune color palettes that make your images look like they belong on...

@nailyasaf
538 new reads
16

Blockchain Consensus Mechanisms, Once and For All: PoW, PoS, and Rollups

How different blockchain systems decide the correct state using mechanisms like PoW, PoS, ZK rollups, and optimistic rollups for state...

@escholar
533 new reads
17

AI is Still a Long Way From Directly Replacing Programmers

As of April 2025, the current state of AI technology is that AI is not yet ready to replace programmers...

@markpelf
522 new reads
18

Developer Productivity with GitHub Copilot & AI Tools by Aditya Mishra

Runner-up in R Systems BlogBook, Aditya Mishra explores how GitHub Copilot supports developer productivity, code quality, and skill development.

@rsystems
510 new reads
19

Cut Your MongoDB Costs by 79% with Shape‑First Optimizations

Protect your Series A from pricey MongoDB scale‑ups: cut costs 79% with query tuning, schema refactoring, TTLs, and 48‑hour profiling fixes.

@hayk.ghukasyan
506 new reads
20

The Fall of OM by Mantra DAO: Accident or Pattern?

The OM Mantra crash exposes deeper market flaws—CEX manipulation, MM abuse, and insider risks. A call for DEX use, diversification,...

@menaskop
501 new reads