Bookmarks (2031)

This section focuses on the key security parameter—primary committee size—within the Discrepancy Detection (DD) protocol for blockchain security. By estimating the number of faulty participants and committee formations, it ensures that the probability of an entirely faulty committee remains negligibly small, offering a robust security model. DR backup committees are used sparingly with simple majority voting schemes, while an honest majority is crucial for...

Section 6 – Related Work dives into various AI training approaches, categorizing them by whether they use SFT or contrastive losses in offline or online settings.

2 weeks left to participate in the HackerNoon survey and win big prizes! Today, let's look at some of the heartfelt feedback we've received so far.

Artificial intelligence is changing the way we think about art. ChatGPT, DALL·E, and Midjourney all use AI to create works of art. But who owns AI-generated art?

Abhaya Uprety co-founded ParkStash, a startup that makes parking reservations work in a way similar to short-term rental platforms. The company initially focused on a business-to-consumer (B2C) model. By late 2022, it decided on a major pivot: from catering directly to individual drivers to providing a streamlined software solution for parking lot owners, property managers and commercial sites.

The paper emphasizes transaction order finality as key to determining blockchain state. It outlines different finality types—log, transaction order, state, and checkpoint finality—and their role in fault handling. A preliminary Layer 2 design is sketched, discussing trade-offs in achieving these finalities for optimal scalability and security.

Cursor is an AI coding assistant that can be used by developers to speed up their work. In a test project, Cursor built a fully interactive game prototype in under an hour. Cursor is built on language models trained on millions of public code snippets, documentation and developer forums.

Prompt Injection is a top threat to GenAI Large Language Models (LLMs) applications. Tips on how to find these vulnerabilities and protect against them.

The experiments evaluate the DNO algorithm (specifically, DNO-Prct) using an iterative training process that combines GPT-4-Turbo scoring with curated pairwise comparisons. UltraFeedback forms the core dataset, with additional large-scale trials. Evaluation is done using AlpacaEval 2.0, MT-Bench, and OpenLLM Leaderboard. The results highlight how DNO approaches state-of-the-art performance through efficient, scalable preference modeling.

ShopCTL lets you easily manage your Shopify store via the command line, offering quick commands to access your store’s data right from your terminal.

A full-stack guide to building a secure, real-time polling app with authentication, per-user permissions, and dynamic policy checks—using Supabase + Permit.io.

When I joined my last company, we were just 20 people, figuring things out as we went. Three years later, we had over 200 employees, thousands of paying customers, and a growing list of features, expectations, and bugs. How we navigated fast growth without losing clarity, culture, or product quality.

In Layer 2 rollups, data availability is crucial for transaction processing. CallData is stored on-chain, while state representations use cryptographic commitments. The system integrates garbage collection mechanisms, efficiently reclaiming older data post-checkpoint finality. A decentralized scheduler can enhance transaction ordering and state finality while ensuring low-cost, high-security operations. Checkpoints balance failure recovery with efficient data storage management.

Last week, Google introduced its AI copilot Firebase Studio, and I decided to give it a try. It got me thinking about what I want to do next.

The article explores the environmental challenges posed by traditional cryptocurrencies and delves into the potential of CBDCs to mitigate such issues. By analyzing the energy consumption, technological designs, and regulatory frameworks, the article sheds light on the prospects and challenges of implementing sustainable CBDCs.

This section introduces DNO-Prct, a practical and scalable implementation of Direct Nash Optimization. It leverages iterative contrastive learning—similar to DPO—but is designed for batched on-policy training with general preferences. By implicitly using reward signals and structuring pairwise comparisons, DNO-Prct enables efficient self-improvement and approaches Nash equilibrium in complex AI preference models.

This story talks about how to determine right goals for your systems and explains them through SLI,SLO and SLAs

P2P lending platforms are fast becoming the way forward. People can now easily borrow and lend money to others without middlemen receiving a massive cut or the loan disbursement taking forever to happen. Despite these improvements, the coast still isn’t clear. Some P2P platforms are still clunky, loan processing is still slow, and *Mr. Fraud* still says hello.

Bitcoin hit an all-time high this year, but has since slumped. The rally was a textbook case of ‘buy the rumour, sell the news’ The market had already priced in a crypto miracle.

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

The ideal Layer 2 rollup design aims for efficiency, high throughput, and low latency with instant transaction order finality. It minimizes replicated computation, allowing for scalable, secure, and low-cost blockchain systems. The system employs a VM job queue and relies on PoS-based finality, where transaction proposals are processed efficiently and securely.

In this interview, LATOKEN CEO Valentin Preobrazhenskiy explains how the platform opens financial markets to all via altcoins, AI, and blockchain. He shares LATOKEN’s growth story, the power of tokenization, insights on crypto policy, and his mission to democratize global investing and empower the Web3 economy.

This section explains various methods by which blockchain systems decide on the correct state, focusing on Proof of Work, Proof of Stake, ZK rollups, and optimistic rollups. It highlights the importance of security, scaling, and transaction finality, including emerging solutions like bare-metal fraud proofs to ensure integrity in state validation.

Public L1s with private L2s present an optimal architecture for cross-border CBDCs, offering decentralization without infrastructure bloat. Simulations show that a multi-AMM model on L2-L3 outperforms L1 systems across all transaction sizes—even when liquidity is fragmented. Arbitrage handling, sequencer decentralization, and latency/finality tradeoffs remain active areas of design and research.

Simulations confirm L2-L3 systems outperform L1-Mariana across transaction volumes—especially under high gas fees. Even with fragmented liquidity, multi-AMM setups offer better cost efficiency by distributing trades across optimized L3s using CLMM and 2-token pools.

This section delves into the significance of callData in blockchain transactions, ensuring data availability for state computation. It discusses the potential risks of front-running, challenges in execution ordering, and various solutions to ensure fairness in transaction sequencing across different blockchain systems.

Fuse partners with Check Point to introduce the first real-time blockchain firewall, aiming to shift from detection to threat prevention.

Using historical FX data and Curve v2 contracts, the simulation compares CBDC swap costs in L1-Mariana vs L2-L3 setups. Results show that multi-AMM systems on L2s are more cost-efficient across all volumes, with significantly reduced gas fees.

HackerNoon is transitioning from Styled Components to Tailwind CSS to modernize its frontend, reduce clutter, and improve performance. Tailwind is now live on the homepage, with AI helping refactor one component at a time. The move has made building fun again. This wasn’t a decision we made lightly. Styled Components served us well for a long time. But as we scaled, the trade-offs started...

The total cost of a CBDC swap includes gas fees, liquidity provider (LP) fees, and price impact. This section introduces a model to quantify these costs across AMM types like Uniswap v3 and Curve v1/v2.

This guide shows you how to set up a CI/CD pipeline using GitHub Actions to automate Python code checks with PyLint. It covers creating a YAML configuration file, setting up Python, and running linting checks for missing docstrings and code formatting issues. By automating this process, you can catch errors early and ship better code faster.

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. Claude Desktop + MCP Quietly Transformed my Product Thinking By @asitsahoo [ 3 Min read ] Discover how Claude Desktop with ...

In this section, we show more exhaustive evaluation metrics computed for every subject individually using 40 hours and 1 hour of fine-tuning data, respectively.

AI agents are systems that can reason, act, and learn over time. They aren’t just passive tools. They’re active collaborators. We use them in software engineering to automate code reviews, triage bugs, and optimize performance. The same framework can be extended beyond code into healthcare, drug discovery, and clinical trials.

All platforms are now engaging, interactive. We can collaborate everywhere. To know the best platforms for evolving, we need to reflect on how we interact with these systems. Platforms, like authors, have style, have a culture. Pick the right culture that helps your path.

This section details a multi-layer blockchain system where a Layer-2 rollup manages CBDC integration and routing, while Layer-3s run competing AMMs. The architecture uses EVM, ensures compliance with KYC and privacy laws, and replaces bridges with proof-of-storage for enhanced security and cost-efficiency.

This study shows that a multi-AMM setup on Layer-2 blockchains reduces total costs of CBDC swaps—fees and price impact—compared to Project Mariana’s single-AMM model.

This section explains how Layer-2 rollups reduce costs and improve scalability for blockchain networks, and examines Project Mariana’s L1 AMM model for CBDC exchange.

This paper proposes a multi-layer blockchain system using Layer-2 and competing Layer-3 AMMs to enable cheaper, scalable cross-border CBDC trading, outperforming Project Mariana in simulations.

Avi Schiffmann is the Founder/CEO of Friend.com, the new AI necklace companion. Previously Avi dropped out of Harvard and founded InternetActivism.org, where he notably built a COVID tracker that over 600M people visited. Avi was kind enough to spend a few minutes sharing his rare insights with the HackerNoon community. 

This prompt guides you to explore blockchain nodes—what they are, how they work, and why they matter. Cover different node types, transaction validation, consensus models, and how node providers like GetBlock reduce the complexity for developers. Ideal for Web3 newcomers and contest participants alike.

BingX is celebrating its 7th anniversary with a user story campaign. The campaign invites users to share their unique journeys and unforgettable moments with BingX. BingX is offering a 10,000 USDT Early Bird Prize Pool for the first 1,000 participants.

This week, we are proud to present Aptible, a Platform as a Service (PaaS) that gives startups everything they need to launch and scale apps and databases that are secure, reliable, and compliant.

Learn how color grading works, what color targets are, and build your own palette-based grading tool in React — from scratch and with purpose.

A new way to learn SQL: solve crimes using real SQL queries. Build database logic fast with interactive storytelling and gamified practice.