News
AI, cybersecurity, machine learning, scraping & programming news.
58 results on this page · clear filters
Speculative Decoding in vLLM on AMD GPUs
vLLM has added support for speculative decoding on AMD GPUs, a technique that lets the serving system verify multiple drafted tokens in a single pass through the target model. The feature works across five different drafting metho...
Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Nvidia CEO Jensen Huang declared on Sunday that artificial general intelligence has arrived, congratulating OpenAI on the release of Astra, the company's newest and most powerful model. The statement, posted on X, adds another voi...
Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models
Vision-language models are being adopted as reward functions for robotic learning at an accelerating pace. The idea is straightforward: feed a robot trajectory and a text description of the goal into a VLM, and the model outputs a...
Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence
When an LLM inside an agent workflow produces a recommendation or judgment, it often comes with an explanation naming the factors that drove the decision. Operators use these explanations to monitor systems, diagnose errors, or de...
Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models
When an LLM reports a molecular property with a median absolute error of 0.025 kcal/mol on the FreeSolv benchmark, that number is far below the 0.6 kcal/mol experimental uncertainty assigned to the measurements. No model can predi...
When LLM Decompilers Recompile More and Preserve Less
When LLM Decompilers Pass Every Test Yet Rewrite Your Code Decompilation turns compiled binaries back into readable source code, and the stakes are high: security analysts depend on it to find vulnerabilities in malware, reverse-e...
Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
ML Performance Tools Break Every Year. What If You Regenerated Them Instead of Maintaining Them? Machine-learning performance modeling sits at the worst possible intersection in computing. Above it, model architectures mutate mont...
Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation
How Amazon Trains a 15M-Parameter Model to Replace LLM Calls for Product Upgrade Recommendations E-commerce platforms need to recommend better products to customers, not just similar ones. A shopper buying a basic moisturizer shou...