All Articles
17100 articles total
OmniSCS: Omni Safety-Critical Scenario Synthesis for Autonomous Driving via a Fully Editable Driving World
OmniSCS is a system for generating photorealistic safety-critical scenarios for autonomous driving testing through a fully editable driving world.
The Definition of Done
A discussion on the concept of 'The Definition of Done' in software development and how it is applied in practice.
Codex scraped the ICM website and discovered 2026 Fields Medal winner list
An AI model reportedly scraped a website and uncovered a list of future Fields Medal winners prematurely.
Punch Yourself in the Face with Reality
A reflective piece or discussion regarding facing reality and expectations in a technical or professional context.
Google’s Demis Hassabis says it’s time for a global AI watchdog — led by the US
Google DeepMind CEO Demis Hassabis calls for a US-led global AI watchdog to regulate and evaluate frontier models.
Model Collapse: On Recursion, Noise, and Uncharted Machine Visions
A research paper examining 'model collapse' in AI, where recursive training on AI-generated data degrades model performance.
The Ramanujan Challenge For AI
The Ramanujan Challenge introduces a set of mathematical constant formulas to evaluate the advanced reasoning and proving capabilities of AI.
The Universal Language of CSI:Unifying Wireless Sensing Across Devices and Environments
Introduction of a foundation-model framework that treats WiFi Channel State Information (CSI) as a structured language to unify wireless sensing.
SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving
SWIFT is a new trajectory prediction framework for autonomous driving that integrates small-world networks with traffic flow theory.
MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms
MorphologyFM is a multimodal foundation model designed for representation learning from ECG and pulse oximetry waveforms in clinical settings.
Data-Driven Forward and Inverse Modeling of V-Beam Thermal Sensors
A machine learning framework for the inverse design of V-beam thermal sensors to optimize geometry for target displacement and minimum stress.
Codex starts encrypting prompts, uses ciphertext for inference instead
Codex is implementing prompt encryption to enable inference using ciphertext, enhancing privacy and security for AI prompts.
Show HN: Rejourney – Open-source revenue leak prediction for web and mobile apps
Rejourney is an open-source tool designed to predict revenue leaks for web and mobile applications.
The Future Worth Building Is Human – Thinking Machines Lab
Thinking Machines Lab discusses the philosophical direction of AI, advocating for a human-centric approach to building thinking machines.
Actegories
Discussion of 'Actegories', likely exploring categories of actions or behavioral classification in technical systems.
The great digital fatigue: How digital burnout is changing social media use
An analysis of how digital burnout and fatigue are altering the way users interact with social media.
The first sunlight reflecting space mirror has been cleared for launch
Reflect Orbital has received FCC authorization to launch Eärendil-1, a space mirror designed to reflect sunlight to Earth at night.
Let’s build a children’s public internet
A proposal for creating a children's public internet to protect minors from the harms of current social media and web platforms.
What Context Does a Coding Agent Actually Need to Act?
Research investigating the minimal context needed for coding agents to edit code, finding that the code being edited is the primary signal.
Depth-Entropy Guided Sampling for Training-Free LLM Reasoning
Introduces Depth-Entropy Guided Sampling (DEGS), a training-free method to improve LLM reasoning by exploiting layer-wise entropy collapse.