Multi-Token Prediction: Mastering Algorithmic Reasoning with Enhanced Resource Use

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 4. Ablations on synthetic data 5. Why does it work? Some speculation 6. Related work 7. Conclusion, Impact statement, Environmental impact, Acknowledgements and References A. Additional results on self-speculative decoding B. Alternative architectures C. Training speeds D. Finetuning E. Additional results … Read more

Redefining Induction: Multi-Token vs. Next-Token on High-Quality LLM Data

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 4. Ablations on synthetic data 5. Why does it work? Some speculation 6. Related work 7. Conclusion, Impact statement, Environmental impact, Acknowledgements and References A. Additional results on self-speculative decoding B. Alternative architectures C. Training speeds D. Finetuning E. Additional results … Read more

Strategic LLM Training: Multi-Token Prediction’s Data Efficiency in Mathematical Reasoning

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 4. Ablations on synthetic data 5. Why does it work? Some speculation 6. Related work 7. Conclusion, Impact statement, Environmental impact, Acknowledgements and References A. Additional results on self-speculative decoding B. Alternative architectures C. Training speeds D. Finetuning E. Additional results … Read more

Igniting Generative Power: Multi-Token LLMs for Advanced Text Summarization

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 4. Ablations on synthetic data 5. Why does it work? Some speculation 6. Related work 7. Conclusion, Impact statement, Environmental impact, Acknowledgements and References A. Additional results on self-speculative decoding B. Alternative architectures C. Training speeds D. Finetuning E. Additional results … Read more

Future of Chronic Care: Bhanuvardhan Nune’s Generative AI Breakthrough in Healthcare Delivery

Bhanuvardhan Nune has developed a Generative AI-powered Care Management Platform revolutionizing chronic disease care in the U.S. The platform supports over 1,000 clinicians, enhances patient outcomes, reduces hospitalizations, and saves millions in healthcare costs. It integrates advanced AI models, secure data systems, and proactive care planning to deliver scalable, personalized treatment.

RAG Systems Are Breaking the Barriers of Language Models: Here’s How

Large language models (LLMs) are very popular in the software world these days. They introduce new articles, blog posts, courses, and models from leading companies in our industry, such as Meta, Huggingface, Microsoft, etc., which requires us to follow new technologies closely. We’ve decided to write some short, informative articles to introduce these topics and … Read more

Build the Future of Bitcoin Finance with Mezo’s Alpha Builder Program

Mezo’s Alpha Builder Program invites developers to build Bitcoin-native apps using MUSD, its Bitcoin-backed stablecoin. Builders gain grants, co-marketing support, technical integration help, and access to the BitcoinFi Accelerator. With Mezo’s Cathedral and Bazaar ecosystems, teams can create DeFi, SocialFi, and experimental apps to power the future of Bitcoin finance.

Meet Orbitt: The Fastest Way to Build a One‑Tap Launch Bot on Solana

The frontier of Web3 development isn’t usually a new L1 or smart contract framework. Sometimes it’s as easy as improving a tool’s speed, smoothness, and accessibility. One of the most obvious instances is the growth of Telegram-native launch bots, which combine token generation, liquidity supply, and even visibility campaigns into a few clicks. Orbitt provides … Read more

Automating Kotlin Data Class Testing with KSP

Ever found yourself needing to create a multitude of instances of a data class with slightly different parameters? Perhaps for testing, generating sample data, or populating a UI with various states. Manually creating these can be tedious and error-prone. What if we could automate this? This was the spark that led me to explore Kotlin … Read more

Stop Believing the Agent Hype—The Numbers Don’t Lie

I’ve built 12+ production AI agent systems across development, DevOps, and data operations. Here’s why the current hype around autonomous agents is mathematically impossible and what actually works in production. Everyone says 2025 is the year of AI agents. The headlines are everywhere: “Autonomous AI will transform work,” “Agents are the next frontier,” “The future … Read more

This Open-Source AI Tool Levels the Playing Field for Retail Investors

:::info EDGAR® and SEC® are trademarks of the U.S. Securities and Exchange Commission. This blog post and the related open-source project are not affiliated with, endorsed by, or connected in any way to the U.S. Securities and Exchange Commission. ::: Overview In 1934, US Congress created the Securities and Exchange Commission (SEC) to oversee financial … Read more

Angular 17 + Mathlive: How I Solved the .woff2 Loader Error

One had a program that was built with Angular 17, but when one tried to run ng build, it had a problem. No loader is configured for “.woff2” files: node_modules/mathlive/fonts/KaTeX_Caligraphic-Bold.woff2 node_modules/mathlive/mathlive-fonts.css:1:254: 1 │ …ight:700;src:url(fonts/KaTeX_Caligraphic-Bold.woff2) format(“wof… This line kept repeating itself in the console. It’s caused by a library called mathlive that one used to, well, render math. (No, … Read more

Microsoft Bars China-Based Engineers From Work on U.S. Defense Work

Microsoft has officially stopped using engineers based in China to work on projects connected to the U.S. Department of Defense. This comes after a report raised concerns about national security and how the company was handling sensitive government systems. What Triggered the Change? A report from ProPublica revealed that Microsoft had been allowing engineers located in China … Read more

Bad Validation Is Breeding Security Nightmares in NestJS

After spending years consulting on legacy NestJS projects, I’ve seen a pattern that keeps me up at night. It’s not the complex business logic or the tangled dependencies that worry me most – it’s something far simpler: validation. Unlike a broken feature that screams for attention, poor validation quietly accumulates until one day, you’re staring … Read more

The Hidden Risk in ERP Automation: How One Bad Sentence Can Cost Your Company Millions

AI-powered systems are misclassifying corporate expenses, not because they lack data, but because they misread grammar. What looks like a technical glitch reveals a deeper structural bias at the heart of automation. What does grammar have to do with accounting? More than you think. In corporate and government ERP systems, every expense description is read … Read more

Demystifying SSH Key Types: From RSA to Ed25519

Secure Shell (SSH) is the backbone of secure remote access—but with so many key algorithms to choose from, which one should you use? Let’s walk through the history, the trade‑offs, and the modern sweet spot for most users. Why SSH Keys Matter Today You’ve probably typed ssh user@server dozens of times—but do you know what’s … Read more

The Biggest SEO Mistake? Obsessing Over Traffic Instead of Intent

The difference between successful businesses and those that struggle isn’t the amount of data they collect, it’s how strategically they use it. As a SEO Specialist who has spent over five years optimizing performance across healthcare, SaaS, and e-commerce sectors, I’ve witnessed firsthand how the right triggers and KPIs can transform good campaigns into exceptional … Read more

Expense Coding Errors Aren’t Random—They’re Rule-Based, New Study Finds

What the Article Explores The forthcoming paper Expense Coding Syntax: Misclassification in AI-Powered Corporate ERPs addresses a critical yet underexamined issue in enterprise automation. It analyzes how generative models misclassify expenses not due to misunderstanding meaning, but due to the execution of syntactic patterns that do not align with financial or organizational logic. The paper … Read more

No Grades, No Gods, No Gates: A Counterculture Blueprint for AI-Era Education

The AI-Native Campus That Nobody Asked For Picture this: students shuffling into lecture halls, neural-linked headsets gleaming under fluorescent lights. Their coursework? Generated by large language models. Their grades? Assigned by proprietary AI dashboards that measure engagement through biometric feedback and keystroke patterns. Professors become facilitators of algorithmic content delivery. Learning becomes optimization. Sterile. Efficient. … Read more