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How hackers start their afternoons.
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Laravel Boost, But Better: Custom Configs, Tools, and Context That Work
Laravel dropped a new package "Laravel Boost". It makes AI suck less by giving it a bunch of tools to better understand your app, and it's great. But I think...
The TechBeat: BNS – Your Identity & Access Layer in the Confidential Web (8/25/2025)
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...
Inside Tongcheng Travel’s Journey to a Unified Data Channel with Apache SeaTunnel
How Tongcheng Travel turned SeaTunnel from “an option” into its unified data channel — with Operator, Sqoop migration, Fluss Connector & more.
Catch Secrets in Real Time on GitHub with EnvScanner 2.0 and AI
EnvScanner 2.0 is a lightweight tool for monitoring GitHub secrets. It uses Google Gemini API to validate secrets. The code is available on GitHub and is available for free.
Renting vs Buying Ships: Which is Better in Star Citizen 4.2?
Ships are a big part of Star Citizen 4.2. You have two main options: rent or buy. Both have their uses. Renting is a good way to try out different...
Marketing Is Psychological Warfare: How to Sell in a World Full of Noise
Marketing is not just about value, it’s about manipulating perception. The average person is hit with over 5,000 ads a day. Marketing that works doesn’t ask for attention, it **earns...
What's the Deal With OpenAI Not Knowing How GPT-4 Works?
We can see the inputs and outputs, but the internal reasoning process is largely invisible.
Ofcom vs 4chan: Is the Online Safety Act About to Trigger a Global Free Speech War?
Ofcom is wielding the Online Safety Act UK, which came into force in late 2024, to demand compliance from platforms with no physical presence in Britain.
Ethos Ex Machina: When AI Generates Trust Without Verification
Ethos Ex Machina explains how AI-generated texts appear credible without real content. By using structural markers such as balanced coordination, cautious negation, and formal scaffolding, large language models fabricate the...
EstateX Scales Luxury Real Estate Tokenization Through Melia Hotels Partnership, Opens U.S. Market
EstateX, the property tokenization platform which allows people to invest in real-estate for as little as $100, has signed a strategic tokenization partnership with global hospitality leader Melia Branded Resorts...
LLMs, Innovation Investing : Human Intelligence Research Lab
What is intelligence? Intelligence can be defined as the way memory is used. Or, the use of what is known is intelligence. So, the model would present the configuration that...
SwapRocket — No KYC Crypto Exchange 2025
SwapRocket is a no KYC crypto exchange for privacy-first, account-free swaps. The article explains how its non-custodial, cross-chain routing works; a simple flow (pick pair, enter amount and recipient address,...
What Happens When You Sign a Crypto Transaction (And What Could Go Wrong)
In crypto, signing means using your private key to approve a transaction. Your private key stays hidden, but the signature you create shows that you are the owner of the...
Numerical Validation of UAV‑CRN Optimization: Improved Rates Under Energy and PLoS Constraints
Simulations validate the proposed UAV‑CRN optimization algorithm, showing improved rates, convergence, and insights into propulsion power and IT constraints.
The Future of Tractable Deep Generative Models
PyJuice is a new system for training and inference of probabilistic circuits that outperforms prior baselines in speed, memory efficiency, and reproducibility. Benchmarking on PC and HCLT structures across datasets...
PyJuice Pushes HMMs and Image Models Beyond State-of-the-Art
PyJuice dramatically accelerates the training and inference of probabilistic circuits (PCs), outperforming established frameworks like SPFlow, EiNet, and Juice.jl across multiple benchmarks. Leveraging GPU efficiency, PyJuice handles billion-edge models without...
Optimizing Backpropagation with PC Flows
PyJuice introduces a highly efficient way to train probabilistic circuit (PC) models by optimizing backpropagation and reducing GPU memory usage. Through experiments on structured and unstructured PCs, as well as...
How Block-Based Parallelization Cuts IO and Computation Overhead
This article explores how block-based parallelization improves the efficiency of probabilistic circuits by reducing both IO and computation overhead. Starting with fully connected sum layers, it explains how assigning indices,...
Key Bottlenecks in PC Parallelization
This article examines the major bottlenecks in parallelizing probabilistic circuits (PCs), focusing on the forward pass. While product layers scale efficiently, sum layers create unexpected overhead due to repeated IO...
Why Researchers Are Betting on PCs to Power the Next Wave of AI
Probabilistic Circuits (PCs) offer a unified framework for tractable probability distributions, enabling efficient probabilistic inference through structured computation graphs. Researchers are advancing their speed and scalability via GPU parallelization, tensorized...