Regolo Labs

Sustainable Computing

May 2, 2026

3 min read

The green AI paradox: balancing innovation with planetary health

Artificial intelligence is getting better fast, but the systems behind it are consuming more power, water, and hardware than most teams account for. The Stanford…

Chiara Grande

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Benchmarks & Cost Optimization

May 1, 2026

6 min read

TurboQuant benchmark: what to measure, what matters, and how to read the results

TurboQuant is a two-stage online vector quantization algorithm from Google Research (presented at ICLR 2026) that compresses LLM key-value caches to 3–3.5 bits per…

Alex Genovese

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Compliance and Privacy

April 29, 2026

5 min read

Privacy‑first AI tools vs big platforms: what “not sending data to OpenAI/Claude really means

Privacy‑first AI tools trade some convenience for clear, technical guarantees that your data is not quietly fuelling someone else’s models. Why people look beyond…

Alex Genovese

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Case Studies & Community Stories

April 28, 2026

8 min read

Multi-agent AI for compliance in banks and insurers: a practical playbook

When we talk about multi-agent AI in banking and insurance, we are really talking about splitting a heavy, regulated workflow — think KYC, AML,…

Alex Genovese

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Benchmarks & Cost Optimization

April 27, 2026

7 min read

How to benchmark memory usage between Hermes Agent and OpenClaw

The cleanest way to compare Hermes Agent and OpenClaw is to keep both agents local, send the same workload to the same model backend,…

Alex Genovese

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Tutorial & How‑to

April 25, 2026

6 min read

Using Regolo models with OpenCode

OpenCode is an open-source, terminal-native AI coding agent that supports 75+ LLM providers through an extensible configuration system. Because Regolo exposes a fully OpenAI-compatible…

Alex Genovese

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Benchmarks & Cost Optimization

April 24, 2026

7 min read

Gemma 4 31B vs Qwen3.6 35B-A3B: When to use which

A benchmark-grounded guide for teams choosing between two of the strongest open models of 2026. What these two models actually are Gemma 4 31B is…

Alex Genovese

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Benchmarks & Cost Optimization

April 23, 2026

6 min read

Inference efficiency and GPU cost optimization in 2026: how to cut LLM serving waste

Inference efficiency in 2026 is about lowering cost per million tokens by improving utilization, reducing repeated work, and matching infrastructure to traffic shape. The…

Alex Genovese

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Compliance and Privacy

April 22, 2026

5 min read

How to choose a privacy‑first LLM API (without stalling your roadmap)

Privacy‑focused LLM APIs put control over prompts and outputs back in your hands by minimizing logging, enforcing strict retention, and staying out of training…

Alex Genovese

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Benchmarks & Cost Optimization

April 21, 2026

4 min read

Open-source LLMs and local / decentralized alternatives in 2026

Open-source / open-weight models are no longer “second tier”: GLM-5.1 and Gemma 4 compete with or surpass closed LLMs on coding and reasoning benchmarks,…

Alex Genovese

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Case Studies & Community Stories

April 20, 2026

3 min read

8 out of 10 Europeans do not trust US and Chinese companies with their data

A March 2026 Politico survey put a number on something many people in European tech had already felt: 84% of Europeans do not trust…

Alex Genovese

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Tutorial & How‑to

April 18, 2026

7 min read

Using MiniMax skills with Regolo.ai: a practical guide

We can treat MiniMax “skills” as reusable, high-level instruction blocks or toolkits that specialize an AI agent for tasks like frontend dev, PDF/XLSX processing,…

Alex Genovese

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