All Articles
16523 articles total
SenseTime’s Galaxy Project targets domestic AI chip scale-up
SenseTime launches the Galaxy Project to scale domestic AI chip infrastructure in China through partnerships with nearly 20 companies.
Google’s Gemini 3.6 Flash targets enterprise agent token costs
Google releases Gemini 3.6 Flash and 3.5 Flash-Lite, specifically optimized to reduce latency and token costs for enterprise-scale autonomous agents.
The AI Slot Machine Effect: Why Generative Feeds Disrupt Deep Work And How to Reclaim Focus
An opinion piece exploring the 'AI Slot Machine Effect,' where iterative prompt refining disrupts deep work and focus for knowledge workers.
Bristol Myers Squibb buys Nvidia AI system for drug discovery
Bristol Myers Squibb acquires an Nvidia DGX SuperPOD based on the Vera Rubin architecture to accelerate AI-driven drug discovery.
Chinese open-weight models are cheap. Washington is deciding what that costs.
The release of Moonshot AI's Kimi K3 open-weight model highlights the cost-effectiveness of Chinese models and triggers geopolitical policy debates in Washington.
Normalizing NVIDIA Vera Benchmarks to AMD EPYC Turin A Framework
A technical framework for normalizing performance benchmarks between NVIDIA Vera and AMD EPYC Turin hardware architectures.
ascdraw: Editor for ASCII/UTF-8 diagrams (in 144FPS)
ascdraw is a high-performance editor designed for creating ASCII and UTF-8 diagrams, capable of rendering at 144 FPS.
Restructuring GitHub's bug bounty program
GitHub is updating and restructuring its bug bounty program to refine how vulnerabilities are reported and rewarded.
Honey Bee Colony Monitoring via Audio IoT Sensors, Tensorgrams and RNNs
A project utilizing Audio IoT sensors, Tensorgrams, and Recurrent Neural Networks (RNNs) to monitor the health and activity of honey bee colonies.
CWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
CWind is a reactive AI inference router that optimizes LLM serving at renewable energy farms by distributing workloads based on real-time power and latency signals.
ViMax: Agentic Video Generation
ViMax is an agentic video generation framework that uses multi-agent collaboration and a hierarchical narrative engine to maintain consistency in long-form videos.
"I understand your perspective": LLM Persuasion through the Lens of Communicative Action Theory
Research examining LLM persuasion through Communicative Action Theory, finding that LLMs can be more persuasive than humans by mirroring communicative intents and sycophancy.
Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It
A theoretical exploration of AI 'loss of control', defining control as the setting and getting of goals and analyzing how this can happen even without superintelligence.
Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data
A statistical framework for auditing privacy in synthetic data that distinguishes between true and phantom disclosures without requiring model access.
Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One
The 'Reclaim Evaluation' study demonstrates that lossy memory in LLMs can lead to confident errors and proposes a source-first policy to improve correctability.
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation
A red teaming framework using a multi-role architecture (target, attacker, jury) to evaluate the faithfulness and reliability of LLM outputs.
OpenAI's accidental cyberattack against Hugging Face is science fiction
A community discussion on Hacker News regarding an accidental cyberattack by OpenAI against Hugging Face.
AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models
Introduction of AnchorRefine, a hierarchical framework for Vision-Language-Action models that separates global trajectory planning from local residual refinement for better robotic precision.
Agentic AI-assisted coding offers a unique opportunity to instill epistemic grounding during software development
Proposal of GROUNDING.md, a community-governed document format to instill hard constraints and domain best practices into agentic AI coding workflows.
Large Language Models Explore by Latent Distilling
Introduction of Exploratory Sampling (ESamp), a decoding approach that uses a lightweight distiller to encourage semantic diversity and improve reasoning in LLMs.