2025-07-28
Benchmarking LLM Susceptibility to Generating Vulnerable Code via Few-Shot Model Inversion
Paper proposes few-shot prompting to invert black-box LLMs, generating prompts that trigger vulnerable code output, creating a benchmark for AI code security.
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The Art of a Great Rollout
We live in the era of high-frequency software deployments, where mass-market software products update several times a day, sometimes delivering hundreds or even thousands of changes. In this article we...
This Company Wants to Bring End-to-End Encrypted Messages to Bluesky’s AT Protocol
Germ says it is the “first secure messaging service on the ATProtocol!”
Insist, Enjoy, Sublime: A HackerNoon Top Writer's Journey with Haimeng Zhou
HackerNoon Top Writer Haimeng Zhou discusses his writing process, the impact of AI, and key insights from his career journey.
Which Samsung Galaxy S25 Should You Choose for Mobile Gaming? We Break It Down
The Galaxy S25, S25+, S25 Edge, and S25 Ultra, compared.
This Is Not Life
Published on July 28, 2025 8:43 AM GMTA science-fiction short story exploring how far AI capitalists might go in their quest for (the illusion of) success. Wildly speculative, of course. ...
Why Did the Stock Market Crash in 2010?
This article simulates the 2010 Flash Crash to analyze how institutional sell algorithms, high-frequency trading, and liquidity constraints triggered a rapid market collapse. The model recreates price drops, bid-ask spread...
Can a Financial Model Truly Mimic Reality? These Numbers Say Yes
To validate a financial market simulation model, the authors use moment-specific p-values and moment coverage ratios. The p-values confirm that simulated data closely matches empirical data, while high coverage ratios...
Validation-Driven Calibration of Financial Simulation Models
This section outlines a two-stage calibration of an agent-based financial model using surrogate modeling and grid search. The XGBoost-based surrogate helps identify optimal parameters by minimizing stylized facts distance. Visual...
How Stylised Facts Shape the Future of Financial Market Simulation
This section outlines a methodology for calibrating and validating an agent-based financial market simulator using high-frequency trading data. It focuses on aligning simulated data with key stylised facts—fat-tailed returns, volatility...
Agent-Based Modelling of Market Microstructure
This article explains how an agent-based model simulates real-world financial markets using five trader types—noise, momentum, fundamental, and market makers. It outlines how market makers contribute to order book dynamics,...
What Are Momentum Traders?
Momentum traders, also known as chartists, buy or sell based on recent price trends rather than fundamentals. They use a fixed ratio of market to limit orders and can be...
Anatomy of a Simulated Market: Behavioral Modeling of Algorithmic Traders
This section breaks down a high-frequency trading simulator built using agent-based modeling. It defines common behaviors among simulated traders—like placing limit or market orders, cancelling trades, and maintaining order ratios—based...
Recreating the Algorithm That Almost Broke Wall Street
The 2010 Flash Crash wiped out $1 trillion in minutes. This article offers a detailed agent-based simulation to analyze the crash phase by phase, highlighting how algorithmic trading, liquidity issues,...
Inside the Artificial Markets That Predict Real Financial Shifts
Agent-based models simulate financial markets by replicating the behavior of various trader types—from zero-intelligence agents to chartists and noise traders. These models provide a powerful alternative to traditional economics, offering...
A High-Frequency Model for Analyzing the 2010 Flash Crash and Mini Crash Events
This research introduces a high-frequency agent-based simulator for financial markets that accurately replicates the 2010 Flash Crash and mini flash crashes. By modeling realistic trader behaviors and testing various market...
The order and the medium of feedback
Who do you pay attention to? Do you respond or react to the feedback that’s coming in? Do you seek it out or wait for it to arrive? Does vivid...
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