Nicolay Gerold

Simply adding "Repeat the question before answering it." somehow make the models answer the trick question correctly.

Probable explanations: Repeating the question in the model's context, significantly increasing the likelihood of the model detecting any potential "gotchas."

One hypothesis is that maybe it puts the model into more of a completion... See more

Stripe: high energy, sound judgment, small teams, and low ego creates magic.

A Memory is a Bias in the likelihood that a sequence of neurons is fired again and again. Repeated Co-activation or one-Time very strong activation strengthens this bias.

“I think a lot of people obviously want to talk about the sexy kind of new consumer applications. I would tell you that I think that the earliest and most significant effect that AI is going to have on our company is actually going to be as it relates to our developer productivity. Some of the tools that we’re seeing are going to allow our devs to... See more

Most commonly, ETL means moving data from some source system (e.g. a production database, Slack API) into an analytical data warehouse (e.g. Snowflake) where the data is easier to combine and analyze. Most data teams use a vendor like Fivetran or an orchestration platform like Airflow to do this.

Modal is a great solution for ETL if you are... See more

clsx

A tiny (234B) utility for constructing className strings conditionally.

Also serves as a faster & smaller drop-in replacement for the classnames module.

This module is available in three formats:

• ES Module : dist/clsx.m.js


• CommonJS : dist/clsx.js


• UMD : dist/clsx.min.js

My $0.02 is that a lot of the future research/work there will be figuring out how to identify effective sub-graphs to provide additional context, to avoid having to pass in the entire graph. As well as trying to identify ontology-less structures in real-time, which includes NER and RE, as well as named entity/relationship... See more

How much do you think we’re going to get tons of specialization versus no, once the brain gets big enough and we do these fine tunings, that’s going to be it. It will be like AWS, GCP, and Azure.

Ali: I think the answer is closer to the latter. It’s going to have lots of specialization. Having said that, it’s not a dichotomy in the sense that maybe... See more

Open source, high-throughput, fault-tolerant vector embedding pipeline

Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably