Nicolay Gerold

Unlike some other popular algorithms, DiskANN is designed to keep memory usage to a minimum. This makes it a great match for use cases where Turso already excels at.

#Multitenancy

Turso allows for an easy implementation of a database-per-tenant pattern, where databases can be cheaply created on-demand. Keeping memory consumption at bay is critical... See more

Fintool

ChatGPT + EDGAR

Most recently, I have been comparing the current AI frenzy to previous platform shifts and their aftermaths. For example, do you remember the explosion of applications in the early days of the iPhone? There were hundreds of apps that unleashed all sorts of superpowers, and then entire cohorts of these startups got destroyed every year at the... See more

Emotions are mostly made up of three axis:- Autonomic arousal scale: alert to calm.- Valence: good to bad.- Focus: interoception to exteroception (making predictions about the outside world).

Overview

Dropbase is a developer-first platform to build internal web apps with just Python. It lets you easily import your existing Python libraries and scripts so you don’t have to rewrite them to fit our framework.

Build apps by selecting UI components from a list and binding them to data fetcher functions or Python scripts. Use State & Context... See more

Magical tools

for working

with data

Queries, notebooks, reports, data apps, and AI — all in the world’s leading collaborative data workspace.

Mify is an open-source developer productivity tool which generates infrastructure code for your backend service and maintains it as your codebase grow.

It provides infra code for stuff like API, configs, logs, and metrics, allowing you and your team to focus on meaningful code. Services generated by Mify can be deployed in our cloud without any... See more

The human-centric platform for production ML & AI

Access data easily, scale compute cost-efficiently, and ship to production confidently with fully managed infrastructure, running securely in your cloud.

What’s the best way for an end user to organize and explore millions of latent space features?

I’ve found tens of thousands of interpretable features in my experiments, and frontier labs have demonstrated results with a thousand times more features in production-scale models. No doubt, as interpretability techniques advance, we’ll see feature maps... See more