Bookmarks (2054)

Carl “Moon” Runefelt warned of a market crash in January 2025—and it’s happening now. Using trends in the federal funds rate, he predicted the downturn and called Bitcoin a safe haven. As stocks and crypto fall, his insights are being revisited as a timely forecast rather than mere speculation.

Each week, the HackerNoon team highlights standout Startups from our Startups of The Year database. Every featured startup has been nominated as the best in their respective technology category or region. This week, we present: Neo Auth, Peris.ai, and Midas Analytics.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

Meet Albert Lie, Co-Founder & CTO of Forward Labs, in his interview with HackerNoon Writers Spotlight, talking about writing amid the Noise of AI.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

The Kindle store is flooded with auto-generated e-books written by AI authors. The content is hollow. It's dry. It’s robotic. You can practically hear the metallic voice in your head as you read. Amazon doesn’t care if your e-book was written by a toaster as long as it gets clicks.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database.

This paper presents a new AI-powered knowledge graph that organizes real-world materials science research into an accessible, searchable database to speed up discovery across scientific fields.

A fictional startup’s MongoDB bill spiked 20% when Atlas auto‑scaled to an M60. By profiling slow ops, fixing N + 1 queries with $lookup, capping/TTL’ing unbounded queries, refactoring jumbo docs, and reordering indexes over a 48‑hour sprint, they slashed their monthly cost from $15,284 to $3,210 (‑79%) and improved p95 latency from 1.9 s to 140 ms—no sharding required.

When building an API for a tiny startup on a shoestring budget, the author compares raw Node.js, Express, and NestJS. Despite NestJS’ heavier footprint, it saves time on validation, documentation, and onboarding—ultimately winning out thanks to dev-friendly features and long-term maintainability.

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. How GitHub Copilot Enhances Developer Productivity by Preeti Verma By @rsystems [ 4 Min read ] In this winning article by P...

This paper presents TnT-LLM, a framework leveraging LLMs to automate large-scale text analysis, including label generation and efficient classifier training.

We begin with a high-level overview of TnT-LLM, our proposed two-phase framework for 1) LLM-powered taxonomy generation and 2) LLM-augmented text classification.

This section outlines the Batched Prompting approach used to annotate preferences efficiently with GPT-4, where all candidate responses are evaluated in a single batch rather than individually. The cost analysis of scaling up the experiment to 600k training inputs reveals that sampling was the most time-consuming and expensive step, costing about $6,000 per iteration. Annotation was the highest cost, amounting to $34,000 per iteration...

Gran ==Turismo== 7 (==GT7==) game data can now be accessed with standard networking protocols. Telemetry data needed for racing lights, analog gauges, butt-kickers, and even motion are now available to console users. This article guides you through the process of using ==SimHub== to capture and display ==GT7’s== data on your computer.

In this section, we provide detailed theoretical proofs supporting the Direct Nash Optimization (DNO) framework. The proof of Theorem 2 involves a two-step procedure, beginning with regression using logarithmic loss and leading to a squared error bound. The definitions and assumptions draw heavily on concentrability from reinforcement learning theory (specifically the works of Xie et al., 2021, 2023). While the section simplifies some concepts...

Elon claimed Grok 3 was the world's best AI. Two months later, how does it really stack up against GPT-4o, Claude 3.7 & Gemini 2.5?

This section presents an extension of the Direct Nash Optimization (DNO) framework for handling regularized preferences. The key difference between SPO and Nash-MD lies in the use of smoothed policies for the latter, which helps obtain a late-iteration guarantee. The section introduces a new version of DNO, designed to converge to a Nash equilibrium using KL-regularization. The algorithm (Algorithm 3) works iteratively, adjusting the...

This section details Direct Nash Optimization (DNO), a method designed to optimize LLMs using Nash equilibrium principles, addressing challenges faced by traditional soft policy iteration. DNO replaces unstable, complex on-policy updates with a regression-based contrastive objective for stable, batch training. The approach enjoys monotonic improvements and converges to the Nash equilibrium. A 7B parameter LLM trained with DNO outperforms Mistral Large and earlier versions...

AI is becoming essential in crypto trading, automating decisions, reducing risks, and unlocking 24/7 arbitrage opportunities in volatile markets.

The "stdlib" approach to agent engineering is a way to teach a new engineer how to use a tool. The approach is similar to what some companies have as an engineering rulebook. It involves writing down rules/guidelines that could be applied to your project.

DAYS function in Excel is used to calculate the number of days between two dates. The result will be a positive or negative number depending on the order of dates. It is supported in all modern versions of Excel.

how to automate Rust build customization using Cargo metadata and a build script—ideal for projects needing many runtime-configurable variants without duplicating code.

Stablecoins are big in crypto, but earning good, stable returns is tricky. CAP Money is a new project on MegaETH aiming to fix this with a unique "self-enforcing" system where institutions borrow your stablecoins to generate yield, with built-in security for users. You can think of it as easier access to professional investment returns with less risk.

OpenAI announced GPT-4.1, featuring a staggering 1M-token context window and perfect needle-in-a-haystack accuracy. As the founder of a RAG-as-A-service startup, my inbox quickly filled with messages claiming this was the end of Retrieval-Augmented Generation (RAG)

The AI toy box trend exploded online, but most of what I saw was prompted for vibes not engineered for meaning. I decided to do something different. I was going to build a visual artifact’s engineered, iterated, and designed to hold a story.

Several reasons prevent universal access to quality education, and technology has tried to bridge the gap to a large extent.

Many common growth hacks used by Subscription-based businesses are under regulatory fire worldwide. This article talks about which growth hacks will no longer be ethical and what should companies focus on.

eBPF is a Linux technology that allows small, high-performance programs to run directly inside the kernel. The solution was developed to handle spikes of over 300,000 requests per second. The result was lower latency, reduced infrastructure usage, and a more consistent experience.

Cloud companies can't afford to treat AI hardware like traditional infrastructure. The new game is proactive, AI-powered diagnostics—run in-house, at scale, and in real time.

Instead of forcing every team or process to use the same tech stack, build a modular, interoperable pipeline where each function operates independently—but in harmony—via smart orchestration and format-agnostic data adapters.

Lean Tech Stack is a minimalist approach to selecting and using technologies aimed at optimising the development and maintenance of digital products. The main idea is to minimise redundancy and focus on the efficient use of resources — time, money, and human effort. This approach is especially beneficial for startups, which need to quickly enter the market.

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.