Table of Links Abstract and 1 Introduction 2 Related Work 3 Model and 3.1 Associative memories 3.2 Transformer blocks 4 A New Energy Function 4.1 The layered structure 5 Cross-Entropy Loss 6 Empirical Results and 6.1 Empirical evaluation of the radius 6.2 Training GPT-2 6.3 Training Vanilla Transformers 7 Conclusion and Acknowledgments Appendix A. Deferred … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 6 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 5 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 4 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 3 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 2 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
:::info Authors: (1) Arkadiy Saakyan, Columbia University (a.saakyan@cs.columbia.edu); (2) Shreyas Kulkarni, Columbia University; (3) Tuhin Chakrabarty, Columbia University; (4) Smaranda Muresan, Columbia University. ::: :::tip Editor’s note: this is part 1 of 6 of a study looking at how well large AI models handle figurative language. Read the rest below. ::: Table of Links Abstract … Read more
Table of Links Abstract and 1 Introduction 2 Related Work 3 Model and 3.1 Associative memories 3.2 Transformer blocks 4 A New Energy Function 4.1 The layered structure 5 Cross-Entropy Loss 6 Empirical Results and 6.1 Empirical evaluation of the radius 6.2 Training GPT-2 6.3 Training Vanilla Transformers 7 Conclusion and Acknowledgments Appendix A. Deferred … Read more
You open your laptop at 10 AM. You check some emails, reply to a few messages. You jump into a meeting. Then another. You scroll through some docs, push a little code. You blink — it’s 6 PM. You’ve been “working” all day. But when you look at what you actually finished… It’s nothing you’re … Read more
Dear readers & friends, Studies have shown over and over that even professional researchers (including statisticians!) can’t correctly interpret a confidence interval or a p-value most of the time. Then, how could you expect the average Joe to be better at that? Frequentist statistics (the kind that gives you those confidence intervals and p-values) just … Read more
Why Learning Git Properly Will Save Your Future Self Hours of Pain Let’s talk about Git. Not the surface-level commands you copy from Stack Overflow. I mean really learning Git — understanding what’s happening under the hood. Because here’s the truth: At some point in your career, Git will either be your best friend — … Read more
You don’t need a massive rewrite to stop bugs. You just need better habits. It’s not about writing perfect code. It’s about writing code that doesn’t turn on you months later. Big bugs rarely come out of nowhere. They come from small things that were ignored again and again. Let me show you what I … Read more
Leaders are constantly under pressure to drive business growth, deliver results and bring in new initiatives that will move the organization forward. They aren’t assigned a set of tasks that they need to finish each day. Ambiguity, uncertainty, navigating challenges, aligning stakeholders and making complex decisions make up a large part of their role. They … Read more
What Is CDC? Change Data Capture (CDC) is a mechanism that tracks row-level changes (inserts, updates, deletes) in a database and notifies downstream systems in the order they occur. In disaster recovery scenarios, CDC is often used for real-time synchronization from a primary database to a standby one. source ———-> CDC ———-> sink Apache SeaTunnel … Read more
Why Most “Full Stack” Developers Aren’t Really Full Stack Most developers call themselves “full stack.” But if you ask them to build a feature across the entire stack— From setting up the database To building the backend logic To designing and deploying a frontend UI To pushing the project live… They freeze. Because being “full … Read more
Crypto is already too technical. Read this if you detest technical bluff and are curious on how your user experience could be improved on the internet with OFTs and if it truly preaches decentralisation. Forget NFTs for a second. There’s a new shiny tech in town. It’s called OFTs. Like NFTs, we were promised some … Read more
In large-scale data integration projects, build performance is critical. This article benchmarks Apache SeaTunnel using traditional Maven versus the next-generation build tool, Maven Daemon (mvnd). The results show that mvnd delivers approximately 60% faster builds by leveraging background daemons and multi-threaded execution. Better yet, it’s fully compatible with existing projects—no changes to pom.xml needed. Installation … Read more
The internet is full of success stories of people who got into Google, Meta, and other tech giants with no CS degree after completing a coding bootcamp. Since the early 2010s, bootcamps have gone from buzzword to punchline to something much more powerful: a respected, results-driven learning track for landing jobs in IT. In almost … Read more
Managing Active Directory (AD) security can be challenging, particularly when identifying accounts sharing passwords or using weak authentication practices. Enter LazyAdminFinder, a powerful, lightweight PowerShell tool that quickly reveals shared password usage and improves your organization’s AD security posture. What is LazyAdminFinder? LazyAdminFinder is a PowerShell script leveraging the DSInternals module to: Detect and report … Read more
Table of Links Abstract and 1 Introduction 2 Approach 2.1 Architecture 2.2 Multimodal Instruction Finetuning 2.3 Curriculum Learning with Parameter Efficient Finetuning 3 Experiments 4 Results 4.1 Evaluation of SpeechVerse models 4.2 Generalization Across Instructions 4.3 Strategies for Improving Performance 5 Related Work 6 Conclusion, Limitations, Ethics Statement, and References A Appendix A.1 Audio Encoder … Read more
Table of Links Abstract and 1 Introduction 2 Approach 2.1 Architecture 2.2 Multimodal Instruction Finetuning 2.3 Curriculum Learning with Parameter Efficient Finetuning 3 Experiments 4 Results 4.1 Evaluation of SpeechVerse models 4.2 Generalization Across Instructions 4.3 Strategies for Improving Performance 5 Related Work 6 Conclusion, Limitations, Ethics Statement, and References A Appendix A.1 Audio Encoder … Read more
AI coding assistants aren’t just helping us code faster—they’re changing who gets to code. If software is eating the world as Marc Andreessen famously said in 2011. In 2025, it seems vibe coding is gasoline poured on that fire. It’s massively increasing the rate at which software is eating the world. As Co-Founder and Co-CEO … Read more
New research shows AI companions can lift mood and teach social skills, but only when they challenge us, not just cheer-lead. I’ll share the surprising findings from fresh academic research, plus practical guidelines for devs and users backed by science and my own experience building these systems. Missed Part 1? Find it here. As someone … Read more
Attackers aren’t just phishing for credentials; they’re automating session hijacking in ways that trusted security practices such as multi-factor authentication (MFA) cannot always protect us from. In the same way that our advanced cybersecurity teams are creatively applying automation and AI to secure business environments, hackers look for methods to exploit data using these tools. … Read more
Table of Links Abstract and 1 Introduction 2 Approach 2.1 Architecture 2.2 Multimodal Instruction Finetuning 2.3 Curriculum Learning with Parameter Efficient Finetuning 3 Experiments 4 Results 4.1 Evaluation of SpeechVerse models 4.2 Generalization Across Instructions 4.3 Strategies for Improving Performance 5 Related Work 6 Conclusion, Limitations, Ethics Statement, and References A Appendix A.1 Audio Encoder … Read more
For some reason, most online resources either completely omit the topic of intercepting and modifying WebSocket traffic, or cover it exclusively within the context of information security and vulnerability hunting. However, a WebSocket is a transport protocol just like HTTP. Therefore, when testing applications, it is essential to be able to work with WebSockets in … Read more
Walk into any HR roundtable, and you’ll hear the same refrain: “We don’t have a technical skills gap. We have a soft skills gap.” Communication. Adaptability. Critical thinking. Emotional intelligence. These are the traits employers say they need most. They’re also the traits that don’t show up on resumes, don’t fit neatly into application forms, … Read more
The Hammurabi Codex, composed during the reign of Hammurabi, the sixth king of the Amorite First Dynasty of Babylon in the 18th Century BC, contains the earliest known examples of consumer protection laws. One example stands out: If a person’s house collapses on top of them and they die, the codex states, the builder should … Read more
Ethereum smart contracts do not run on a schedule by themselves – there is no native “cron job” within the EVM. Smart contracts are not self-executing, i.e., they require an external stimulus (a transaction from an externally owned account, oracle, or other contract) to call their functions. This presents a challenge for time-dependent actions like … Read more
When you lose money in a casino — you know it. When you lose money in crypto — you call it investing. Why even compare them? Because both worlds are addictive, and both are designed to extract money from the same crowd. When casinos start sponsoring crypto influencers, and crypto looks more like a slot … Read more