~hackernoon | Bookmarks (2027)

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 ...