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Introducing Ternary Bonsai: Top Intelligence at 1.58 Bits

PrismML unveilsTernary Bonsai: a family of1.58-bitLMs in1.7B,4B, and8Bsizes. Models use ternary weights {-1,0,+1} with group-wise quantization. Weights are ternary (-1,0,+1). Each group of128weights shares anFP16scale. That cuts memory by ~9x versus 16-bit and boosts benchmark scores. The8Bhits 75.5.. read more  

Introducing Ternary Bonsai: Top Intelligence at 1.58 Bits
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The PR you would have opened yourself

ASkillports models fromtransformerstomlx-lm. It bootstraps an env, discovers variants, downloads checkpoints, writes MLX implementations, and runs layered tests. It produces disclosed PRs with per-layer diffs, dtype checks, generation examples, numerical comparisons, and a reproducible, non-agentict.. read more  

The PR you would have opened yourself
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A GitHub agentic workflow

The developer automated parsing of unstructured release notes withGitHub agentic workflows. The pipeline compilesMarkdowntoYAML, then runs an agent. The setup requires afine-grained Copilot token. It enforces a hardenedsandboxpolicy and forbids Marketplace actions. CI runs a compile-then-compare che.. read more  

A GitHub agentic workflow
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@devopslinks shared a link, 1 month, 2 weeks ago
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Why We Chose the Harder Path: Hardened Images, One Year Later

Docker Hardened Images surpassed500k daily pullsand now hosts2,000+ hardened images, all built in aSLSA Build Level 3pipeline. It compiles tens of thousands ofDebianandAlpinepackages from source. It runs 1M+ builds. It ships17 signed attestationsper image. It auto-rebuilds customized images under SL.. read more  

Why We Chose the Harder Path: Hardened Images, One Year Later
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Betterleaks: The Gitleaks Successor Built for Faster Secrets Scanning

BetterleakssupplantsGitleaksas a drop-in CLI. Scans run faster. It's written inPure Go- no CGO - and performs parallel git scans. It replaces entropy heuristics with token-efficient detection viaBPE. It addsCELrule validation. Its roadmap includes LLM assist and auto-revocation... read more  

Betterleaks: The Gitleaks Successor Built for Faster Secrets Scanning
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pgit: I Imported the Linux Kernel into PostgreSQL

pgitingested 20 years of the Linux kernel: 1.43M commits, 24.4M file versions. The dataset lives inPostgreSQLwithpg-xpatch- 2.7GB on disk. A 2-hour import on a 24-core EPYC built a queryableSQLDB. Most delta-decompressed queries return in <10s. No preprocessing required... read more  

pgit: I Imported the Linux Kernel into PostgreSQL
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What is AWS Graviton? The custom chip powering applications for 90,000 customers

Amazon'sGravitonfamily peaks at a 192-core chip. It delivers up to25%better performance thanGraviton4and keeps energy efficiency intact. AWS says98%of its top 1,000 EC2 customers runGraviton. More than half of new EC2 capacity runs on these chips... read more  

What is AWS Graviton? The custom chip powering applications for 90,000 customers
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Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways

Quantum computers could decrypt data stored today in anticipation of future decryption, posing security risks despite the estimated decade-long timeline. Industry-wide PQC standards are being published by NIST to defend against such threats, including algorithms like ML-KEM and ML-DSA. The industry .. read more  

Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways
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Ubuntu 26.04 LTS Released: Meet Resolute Raccoon

Ubuntu

Ubuntu 26.04 LTS drops the X11 session entirely for GNOME 50 on Wayland, ships Rust-based core utilities (including sudo-rs) by default, and adds native CUDA and ROCm packages to its repositories for the first time. Livepatch now covers Arm64, TPM-backed full-disk encryption lands in the installer, and the minimum RAM requirement jumps to 6GB. Codename: Resolute Raccoon.

Ubuntu 26.04 LTS Released: Meet Resolute Raccoon
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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

𝗚𝗲𝗼𝗿𝗴𝗶𝗮 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲

🚀 𝗚𝗲𝗼𝗿𝗴𝗶𝗮 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲 📅 April 30, 2026 📍 Atlanta, USA 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗨𝗻𝗹𝗲𝗮𝘀𝗵𝗲𝗱: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿 RELIANOID is excited to highlight the upcoming Georgia Technology Summit 2026, hosted by the Technology Association of Georgia — a key gathering of technology leaders shapin..

Georgia_Technology_Summit_RELIANOID 2026
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).