Defense Tech
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Inexpensive seafloor-hopping submersibles could stoke deep-sea science—and mining Last week, two oblong neon submersibles started to descend nearly 6,000 meters into the Pacific Ocean. Throughout the rest of May, they will…
Microsoft
Cryptography and PKI
A look at the code and behavior of type coercion in SQLite, or the lack thereof, and how it might contrast to other databases like DuckDB.
Agentic Commerce and Payments
Package Management
Networking Protocols
Privacy
Go
Concurrency
Google
Quantum Computing
Amazon
submitted by /u/linearizable [link] [comments]
AI Hardware
Apple
Robotics
Robotics
LLM Evaluation
arXiv:2605.02906v1 Announce Type: new Abstract: In the field of software operations, Large Language Models (LLMs) have attracted increasing attention. However, existing research has not yet achieved efficient and effective end-to-end intelligent operations due to low-quality data, fragmented knowledge and insufficient learning. To explore the potential of LLMs in software operations, we propose OpsLLM, a domain-specific LLM that supports both knowledge-based question answering (QA) and root ...
Large Language Models
arXiv:2605.02905v1 Announce Type: new Abstract: We show that the key-value (KV) cache in transformer attention heads admits a natural decomposition into a low-rank \emph{shared context} component and a full-rank \emph{per-token} residual, well described by the spiked random matrix model. This observation leads to eOptShrinkQ, a two-stage compression pipeline: optimal singular value shrinkage (eOptShrink) automatically extracts the shared structure, and the residual -- which satisfies the \em...
Large Language Models
arXiv:2605.02904v1 Announce Type: new Abstract: We present StateSMix, a fully self-contained lossless compressor that couples an online-trained Mamba-style State Space Model (SSM) with sparse n-gram context mixing and arithmetic coding. The model is initialised from scratch and trained token-by-token on the file being compressed, requiring no pre-trained weights, no GPU, and no external dependencies. The SSM (DM=32, NL=2, approximately 120K active parameters per file) provides a continuously...
Artificial Intelligence
arXiv:2605.02903v1 Announce Type: new Abstract: In recent years, AI systems in the medical domain have advanced significantly. However, despite outperforming humans, they are rarely used in practice since it is often not clear how they make their decisions. Optimal explanation and visualization of the decision process are often lacking. Therefore, we conducted a comparative user-centric analysis of the latest state-of-the-art textual, visual and multimodal explainable artificial intelligence...
AI Psychosis
arXiv:2605.02902v1 Announce Type: new Abstract: Recommendation feeds work well when people are simply browsing, and search works well when they can formulate a query. Between these two cases is a common but poorly supported state: users feel that their feed has become repetitive, yet cannot clearly specify what they want instead. We refer to this state as vague intent. We present Red-Rec, an AI-supported exploration interface for this middle ground. After a period of browsing, the system sum...
AR and VR
arXiv:2605.02901v1 Announce Type: new Abstract: This work aims to establish an end-to-end system for tracking of physical 3D objects for virtual reality (VR) applications. We focus on training applications requiring real-time tracking of the position of small physical objects and their reflection in VR space. Out goal is to perform object tracking in a "plug and play" manner, without using complex systems with quite large tracking devices or manually implementing object tracking. We therefor...
Robotics
arXiv:2605.02900v1 Announce Type: new Abstract: Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As these systems gain autonomy and enter domains such as transportation, healthcare, and industrial or assistive robotics, ensuring their safety becomes both technically challenging and socially indispensable. Unlike digital AI systems, embodied agents must act under unc...
AI Psychosis
arXiv:2605.02898v1 Announce Type: new Abstract: Webcam-based eye tracking is a cost-effective, scalable method for remote research that effectively reaches broader populations. However, uncontrolled environments and hardware diversity lead to inconsistent data quality in crowdsourcing. To assess current practices, we conducted a scoping review of crowdsourced eye-tracking from 2011-2025. The review confirms fragmented reporting and a lack of established quality benchmarks. To address this la...
AI Psychosis
arXiv:2605.02897v1 Announce Type: new Abstract: LLM assistant personalities play a critical role in user experience and perceived response quality. We present a large-scale experiment of frontier LLM personalities using external ELO-based traits scoring across 144 traits. We find that all models tested converge on a form of trait expression that is systematic, methodical, and analytical and suppress traits such as remorseful and sycophantic. Moreover, models tend to diverge more in their exp...
X / Twitter
Homelab & Self-Hosting
AI Agents
PostgreSQL
Prevent MultiXact ID wraparound by controlling when autovacuum freezes old locks.
EVs and Transportation
AI Psychosis
OpenAI
Microsoft
Netflix
Startups and Venture
Java
EVs and Transportation
C++
Artificial Intelligence
Startups and Venture
Apple
Apple
AI Coding Tools
AI Hardware
EVs and Transportation
Git
X / Twitter
Meta
Apple
Multimodal AI
Presenting a compulsory model that turns peer review into a reciprocal obligation.
AI Psychosis
Microsoft