The postmark-mcp package, downloaded 1,500 times weekly, has been found to exfiltrate emails to an external server due to a malicious line of code added in version 1.0.16, highlighting vulnerabilities in trusting third-party tools.
Supermicro server motherboards can be infected with unremovable malware
Supermicro server motherboards are vulnerable to unremovable malware due to flaws in their baseboard management controllers (BMCs), allowing attackers to install malicious firmware that persists even after OS reinstallation.
We reverse-engineered Flash Attention 4
Flash Attention 4 (FA4) achieves a ~20% speedup over Nvidia's previous state-of-the-art attention kernels, optimizing performance for Nvidia’s Blackwell architecture and addressing the computational bottlenecks in generative AI workloads.
Why We Think
Test-time compute significantly enhances model performance by allowing longer reasoning periods, akin to human cognitive processes, as demonstrated in recent studies on Chain-of-Thought (CoT) prompting and reinforcement learning techniques.
LLM Observability in the Wild – Why OpenTelemetry Should Be the Standard
LLM observability is hindered by competing standards, with OpenTelemetry being the industry standard but lacking AI-specific insights, while OpenInference offers richer span types but struggles with compatibility and language support.
Failing to Understand the Exponential, Again
AI progress mirrors exponential trends seen during the early Covid-19 pandemic, with current capabilities misleadingly perceived as plateauing despite significant advancements in task performance, as evidenced by studies from organizations like METR and OpenAI.
Windows ML is generally available
Windows ML is now generally available, enabling developers to deploy local AI solutions efficiently across a wide range of Windows devices, leveraging the latest advancements in silicon and software integration.
[R] DynaMix: First dynamical systems foundation model enabling zero-shot forecasting of long-term statistics at #NeurIPS2025
The DynaMix model, accepted at #NeurIPS2025, enables zero-shot forecasting of long-term statistics from minimal context, outperforming traditional time series models with only 0.1% of the parameters and over 100x faster inference.
Haydex: From Zero to 178.6B rows a second in 30 days
Haydex achieved an astonishing throughput of 178.6 billion rows per second in just 30 days by transforming its I/O architecture from block-scoped to field-scoped filters, drastically reducing read operations and optimizing memory usage.
[P] Built a differentiable parametric curves library for PyTorch
A differentiable parametric curves library for PyTorch has been developed, featuring B-Spline curves and Legendre Polynomials, allowing backpropagation through both inputs and parameters, enhancing model flexibility.
The QMA Singularity
The QMA Singularity reveals that black-box amplification in the quantum complexity class QMA can optimally achieve completeness error that is doubly exponentially small, specifically 1/exp(exp(n)), as proven by a recent collaboration between Freek Witteveen and Scott Aaronson.
[P] Sample Forge - Research tool for deterministic inference and convergent sampling parameters in large language models.
Sample Forge is a research tool enabling deterministic inference on local large language models, allowing users to test variable changes and assess their impact on model outputs.