Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Most studies use plasma biomarkers, which is much more short term. This may be the cause of many conflicting data.
Andrew Huberman • Dr. Rhonda Patrick: Micronutrients for Health & Longevity
When our internal states of stress or calm match (mismatch) the demands on us, we tend to interpret these as good (bad). Alertness vs. stressors as a driver of emotions.
Andrew Huberman • Tools for Managing Stress & Anxiety
One of the common themes you see is that LLMs are great when you are operating in the gray zone at the "edge" of your knowledge or confidence. For example, translating a program to C to speed it up. I can code C but I'm really rusty. I can't remember precise function names, what to #include, arguments etc. But LLMs are awesome at that. So it... See more
Link
Better living through chemistry still requires better living.
Andrew Huberman • How Foods and Nutrients Control Our Moods
PGlite - Postgres in WASM
PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.
import { PGlite } from "@electric-sql/pglite"
const db = new PGlite()
await db.query("select 'Hello world' as... See more
PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.
import { PGlite } from "@electric-sql/pglite"
const db = new PGlite()
await db.query("select 'Hello world' as... See more
electric-sql • GitHub - electric-sql/pglite: Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and Deno
MLEs are happy to delegate experiment tracking and execution work to ML experiment execution frameworks, such as Weights & Biases 3 , but prefer to choose subsequent experiments themselves. To be able to make informed choices of subsequent experiments to run, MLEs must maintain awareness of what they have tried and what they haven’t (Lg2 calls it... See more
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
learnings from one experiment into the next, like a guided search to find the best idea (Lg2, Sm4,
Lg5). Lg5 described their ideological shift from random search to guided search:
Previously, I tried to do a lot of parallelization. If I focus on one idea, a week at a time,
then it boosts my productivity a lot more.
By following a guided search, engineers are, essentially, significantly pruning a large subset of
experiment ideas without executing them. While it may seem like there are unlimited computational
resources, the search space is much larger, and developer time and energy is limited. At the end of
the day, experiments are human-validated and deployed. Mature ML engineers know their personal
tradeoff between parallelizing disjoint experiment ideas and pipelining ideas that build on top of
each other, ultimately yielding successful deployments
Bottom-up processing: information is directing your activity deliberately or reflexively depending on your attention. Brain tries to direct as much activity as possible in a reflexive way.
Andrew Huberman • How Your Brain Works & Changes
Learning: what aspect of my nervous system (emotion, perception, sensations) am I trying and are available to change? How to structure the change?
Andrew Huberman • How Your Brain Works & Changes
Ghrelin is released from the GI tract and stimulates your desire to eat. It is triggered by low glucose levels in the blood and triggers anticipatory food signals making you think about food you would like to eat. Your ghrelin secretion will start to match your eating schedule. It can be shifted by about 45 minutes a day.