5 Signs You’ve Built a Secretly Bad Architecture (And How to Fix It)

In the hustle to deliver value, development teams can unknowingly create software architectures that hinder their long-term progress. Initially, everything seems fine—features are shipping, continuous integration (CI) jobs are passing, and the product actually works. Yet, beneath the apparent progress, unchecked complexity can take root. What starts as manageable interactions between components can evolve into … Read more

Is Black Hat World Run by Children? A Rant About Fools, Bad Advice, and Link-Building Scams

You know, I’ve seen some low-life scam artists in my time, but the gang over at Black Hat World really takes the cake. I mean, where do I even begin? The shady ‘hacks’ they peddle? The creepy mod team that suspiciously disappears any criticism? The cringe-worthy ‘tutorials’ that make amateur hour look like NASA? It’s … Read more

Say Goodbye to Tokens, and Say Hello to Patches

Do we really need to break text into tokens, or could we work directly with raw bytes? First, let’s think about how do LLMs currently handle text. They first chop it up into chunks called tokens using rules about common word pieces. This tokenization step has always been a bit of an odd one out. … Read more

What to Expect From Telehealth in 2025

Telehealth has reshaped the medical sector. Ever since the COVID-19 pandemic, platforms enabling remote access to healthcare services have skyrocketed, and they’re likely not going away any time soon. The telemedicine market was worth almost $72 billion in 2022, and experts predict it will surpass $244 billion by 2032. What does all this growth mean … Read more

How Mamba and Hyena Are Changing the Way AI Learns and Remembers

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

Hardware-Aware Algorithm for Selective State Space Models

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

Sophon Mainnet Goes Live With $500M TVL And Strategic Industry Collaborations

DUBAI, India, December 18th, 2024/Chainwire/–Sophon has launched its mainnet, introducing the first-ever Validium on ZKsync powered by Avail DA. With over $500M in Total Value Locked (TVL) through the Sophon farming program, and a growing ecosystem of established partners, Sophon is paving the way for scalable, consumer-focused blockchain applications. The launch comes with significant community … Read more

dTRINITY Launches Subsidized Stablecoin Lending Protocol On Fraxtal L2

SINGAPORE, Singapore, December 18th, 2024/Chainwire/–dTRINITY, a next-generation stablecoin liquidity protocol, has announced its mainnet debut on the Fraxtal L2 network. The platform is designed to lower interest expenses and improve yields for stablecoin users, addressing the key challenge of rising credit costs in DeFi. At the core of dTRINITY is a protocol-native stablecoin (dUSD), which … Read more

NFTMozaic Secures Web3 Foundation Grant To Unite And Elevate Polkadot’s NFT Ecosystem

Singapore, Singapore, December 18th, 2024/Chainwire/–NFTMozaic, the newest project to hit the Polkadot ecosystem, has been awarded a Decentralized Futures Grant by the Web3 Foundation to establish Polkadot as the leading ecosystem for NFT-related projects and initiatives. What is NFTMozaic? NFTMozaic aims to redefine the NFT landscape by aligning and defining one common vision of success … Read more

The Math Behind Selective State Space Models

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

Sonic Labs Launches The Sonic Mainnet: EVM-Compatible, Verifiable 10,000 TPS, And Sub-Second Finalit

GEORGE TOWN, Cayman Islands, December 13th, 2024/Chainwire/–Sonic Labs today announced the launch of the Sonic mainnet, an EVM-compatible layer-1 blockchain platform that offers developers attractive incentives and powerful infrastructure. With 10,000 transactions per second (TPS), sub-second finality, and a native, decentralized gateway to Ethereum, Sonic empowers developers to build the next generation of applications on … Read more

Pepeto Project Launches Utility-Driven Solutions For Memecoins

SAN FRANCISCO, United States, December 18th, 2024, Chainwire Pepeto: The God of Frogs with Utility and a Vision Unlike other memecoins’ trading-centric approach, Pepeto offers a comprehensive utility-driven ecosystem. Pepeto, known as the God of Frogs, aims to adopt all future memecoins and elevate the sector through its zero-fee cross-chain exchange and bridge technology. Pepeto’s Ecosystem Highlights: … Read more

Bybit Introduces Private Wealth Management Service For High-Net-Worth Clients

DUBAI, United Arab Emirates, December 18th, 2024/Chainwire/–Bybit,the world’s second-largest cryptocurrency exchange by trading volume, is excited to announce the launch of its Private Wealth Management (PWM) service, tailored to meet the unique needs of high-net-worth individuals and institutional clients. This customized offering reflects Bybit’s commitment to delivering premium financial solutions that empower clients in an … Read more

AI That Remembers

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

This Deep-learning Approach Can Help Double Your Gains in Crypto Investments

This report presents a novel approach to cryptocurrency trading using a Transformer-based Deep Reinforcement Learning (DRL) agent. The system leverages modern NLP-inspired architectures (Transformers), Double DQN (DDQN), Noisy Networks, and Low-Rank Adaptation (LoRA) for Test-Time Training (TTT). By combining these components, the agent demonstrates improved adaptability, stable policy formation, and significantly enhanced profitability on historical … Read more

MINGO, Hedera Based Wallet, Sets Sights On The Global Ticketing Industry

Kingstown, St. Vincent and the Grenadines, December 17th, 2024/Chainwire/–MINGO, a digital wallet built on the Hedera Hashgraph network, introduces an NFT-based Programmable Digital Ticketing (PDT) system to innovate the ticketing industry. By addressing critical issues such as fraud, scalping, and resale inefficiencies, MINGO delivers a secure and transparent solution trusted by leading names in sports … Read more

0xFĂștbol Announces Exclusive $FUTBOL Presale to Celebrate XDC’s Strategic Investment

For decades, fĂștbol’s ecosystem has upheld a status quo that leaves fans disconnected—without a voice, a stake, or a meaningful way to be part of the game they love. Despite fĂștbol’s global popularity, there has been no unified platform that truly empowers fans or brings them closer to the sport in transformative ways. Founded by … Read more

Democratizing AI: How IO.NET’s CTO is Building the ‘Airbnb of GPUs'”

The artificial intelligence boom has created an unprecedented demand for GPU computing power, but access remains concentrated among a few major cloud providers. IO.NET, a startup focusing on decentralized GPU infrastructure, aims to change this dynamic by creating what its leaders call the “Airbnb of GPUs.” In this exclusive interview, Gaurav, IO.NET’s CTO and former … Read more

Introducing Nirvana V2: Here’s What You Need to Know

The Nirvana protocol has one mission: to produce a truly resilient store of value. One that holds its worth regardless of market cycles, evolves without central planning, and scales indefinitely. Without these three legs to the stool, an asset’s value will only ever be temporary. Nirvana builds on the open and algorithmic nature of decentralized … Read more

TokenFlow’s Implementation Details: Everything That We Used

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details A IMPLEMENTATION DETAILS StableDiffusion. We use Stable Diffusion as … Read more

A Reference List to Learn More About Image Editing, Video Editing, and Diffusion Models

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 7 ACKNOWLEDGEMENT We thank Narek Tumanyan for his valuable … Read more

Discussing TokenFlow: A Clear and Simple Explanation

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 6 DISCUSSION We presented a new framework for text-driven … Read more

Let’s Take a Look at TokenFlow’s Ablation Study

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 5.3 ABLATION STUDY First, we ablate the use of … Read more

Qualitative Evaluation and Quantitative Evaluation: Comparing Our Method to Others

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 5.1 QUALITATIVE EVALUATION Fig. 6 provides a qualitative comparison … Read more

TokenFlow: Taking a Look at Our Results and Evaluating Our Methods

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 5 RESULTS We evaluate our method on DAVIS videos … Read more

How to Edit Propagation Via TokenFlow

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 4.2 EDIT PROPAGATION VIA TOKENFLOW :::info This paper is … Read more

Joint Editing: How We Did It

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details 4.1 KEYFRAME SAMPLING AND JOINT EDITING :::info This paper is available on arxiv under … Read more