Not quite. I've been taking Beta-hydroxybutyrate (BHB) salts in powder form, mixed with water. Here is some interesting literature discussing its benefits as a metabolic regulator of proteostasis in aged and Alzheimer-diseased brains:
I use that as well. I found that it was a great way to slowly ween myself off caffeine while avoiding the caffeine withdrawals. My sleep is improving a little and I remember more dreams, not sure why.
“It's important to understand that in order to make people superfluous, machines will not have to surpass them in general intelligence but only in certain specialized kinds of intelligence. For example, the machines will not have to create or understand art, music, or literature, they will not need the ability to carry on an intelligent, non-technical conversation (the "Turing test"[18]), they will not have to exercise tact or understand human nature, because these skills will have no application if humans are to be eliminated anyway. To make humans superfluous, the machines will only need to outperform them in making the technical decisions that have to be made for the purpose of promoting the short-term survival and propagation of the dominant self-propagating systems.”
Yes, but in a large enterprise setting, which is where it makes most sense from a cost standpoint. For smaller business development, I typically go with something like fly.io.
Is there any networking hardware that can intercept and obfuscate payloads that are collected by bossware tools? Also, is there a database of known bossware? I’ve used MITM proxy to intercept web analytics payloads, but I’m curious to know if there is anything available at the hardware level.
Can you elaborate on what you mean by the "Postgres way of doing things"? Also, what is wrong with using Postgres to query data in external object stores? It is a common occurrence for businesses to store parquet artefacts in object storage, and querying them is often desirable.
You can see performance comparison to Hydra on ClickBench: https://benchmark.clickhouse.com/ by selecting ParadeDB and Hydra. Tl;dr: It is much faster.
From a feature-set perspective, in addition to querying local disk, we can query remote object stores (S3, GCS, etc.), table format providers (Delta Lake, soon Iceberg too).
From a code perspective, we're written in Rust on top of open-source standards like OpenDAL and DataFusion, while Hydra is their own codebase built from a fork of Citus columnar, in C.
Very exciting. We use GCS but we don't have a data lake yet. If you were to "sell" the concept of a data lake, what would you refer to as great example usecase?
