Use Astro DB for local-first development and host the production database on Bunny.net's managed libSQL instead of Turso. Schema, seeding, remote push, and deploy, step by step. Read more ›
A native macOS app for fine-tuning LLMs on Apple Silicon — fully on-device, fully open source. Read more ›
Recently, I’ve been fascinated by the trend of building data storage systems on object storage. Systems like TurboPuffer are all the rage in the search space right now. New storage primitives like SlateDB make creating bespoke storage systems feasible for a single developer or small team. Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Usermode detector that catches indirect syscalls. Traps Hell's Hall, Tartarus' Gate, RecycledGate, and VEH syscalls & Many more. - Zypherion-Technologies/HallWatch Read more ›
I remember reading about Claude playing Pokemon Red when Sonnet 3.7 was released and thinking to myself "this is the wrong way to 'solve' Pokemon". An LLM ta... Read more ›
In this post, we show you how to use EXPLAIN plans to diagnose and improve query performance in Amazon Aurora DSQL. We introduce a three-layer filter model as a practical framework for understanding where your predicates are evaluated, and walk through the architecture differences that make Aurora DSQL plans unique, the anatomy of an EXPLAIN output, access method selection, and a step-by-step query improvement workflow. Read more ›
Track ML experiments with MLflow in under 10 minutes — log params, metrics, and models in 3 lines of Python. Real benchmarks on sklearn and PyTorch. Read more ›
Built on for PostgreSQL SQL and PL/pgSQL. Point your editor at it for .sql files and get diagnostics, navigation, completion, and formatting backed by real PostgreSQL grammar rather than regex heuristics. Features Diagnostics — Parse errors from tree-sitter reported as LSP diagnostics Semantic Tokens — Syntax highlighting via semantic token classification Document Symbols — Outline of DDL statements (tables, functions, views, etc.) Workspace Symbols — Search across all open files Go to Defini... Read more ›
Distributed systems handle adversarial nodes through redundancy, which imposes a significant performance overhead. In blockchain systems, Byzantine fault-tolerant state-machine replication (BFT-SMR) is the replicated service that totally orders client transactions before execution. While prior research has primarily focused on designing novel consensus algorithms with improved performance, recent studies have shown that further gains can be achi... Read more ›
Hey LET! Hassan here, founder of Hostodo. We’re bringing a new set of KVM VPS specials in Detroit, Las Vegas, and Tampa. Matched pricing, a little extra disk, and Pure NVMe storage. We’re a no-frills infrastructure provider focused on simple, stable, and affordable virtual machines. Our platform is custom-built in-house, from billing to deployment, with instant provisioning and a modern control panel. All VMs are provisioned on nodes powered by AMD EPYC 7742 CPUs. 🟢 These prices a... Read more ›
So, you adopted event-driven architecture because your system was a rat’s nest of coupling, and events were the answer to decouple it. But now debugging is a nightmare. You have events coming in out of order. You have retries causing duplicates and multiple different side effects. Local development is a pain. It’s frustrating, right? But… Read More »Stop Blaming Event-Driven Architecture The post appeared first on <a href=" Read more ›
A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements. Where do the gold in jewelry, the uranium in nuclear fuel, and many of the universe’s heaviest elements come from? Scientists believe they are forged in some of the most violent events in the [...] Read more ›
Boost LLM Inference on AMD MI325X with Ray Serve and vLLM. Up to 2.7x More Throughput and 67% Lower Compute Costs Read more ›
Overview When building high-availability MySQL environments, the choice between MySQL Group Replication (GR) and Percona XtraDB Cluster (PXC) often comes down to how they handle the eternal database dilemma: data consistency versus performance. While both provide “synchronous-like” replication, they approach the problem of stale reads—reading data that has been committed on one node but not … The post appeared first on <a href=" Read more ›
Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines that can orchestrate complex tasks including identifying vulnerabilities in source code and transforming fragmented project discussions into rigorous technical specifications.While the general public uses AI tools to write email and plan vacations, technical professionals use LLMs as core architectural elements that are fundamentally changing how digital infrastructures... Read more ›
pgAgent has been my go to scheduling solution for quite some time. Sadly in 6 months it will be completely retired and the pgAgent UI in pgAdmin will be gone. The main reasons I liked pgAgent were: Cross Platform: I have a lot on windows and linux customers, so this was important. Nice UI in pgAdmin, so I could do all work with PostgreSQL and schedule things at the same time as well as check status of jobs. The database backend is PostgreSQL, my favorite database Supports Multiple Agents with... Read more ›
ERRATUM: Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics (2025 J. Stat. Mech. 043401), Komatsu, Hisato Read more ›
Reinforcement learning from human feedback (RLHF) aligns large language models by training reward models on preference data and optimizing policies to maximize predicted rewards. However, this pipeline faces two fundamental challenges: (1) reward models cannot signal when their predictions are unreliable, since they usually act as deterministic point estimators; and (2) modern group-based policy optimization can amplify unreliable reward signa... Read more ›