opisthenar84

Sorry as this is not a "wants to be hired" post, but I'm curious how well this monthly post works for people actually looking for new opportunities. Can anybody share their experiences?

Might be a noob question but for truly important data, couldn't SDCs be detected by using ECC everywhere?

I'm surprised he didn't mention much about vector search

I fail to see how programmable logic patched together == "the future of video game preservation". There's community, software, testing, etc... involved as well.

This story has close to 500 up votes as of 2:19PM Pacific and is no longer on the front page. Why flag an article that is simply trying to show how HN can potentially be improved?

A seemingly common theme through all these layoffs is that engineers are less impacted than other orgs.

True. Pure vectorstores seem limited and kind of overrated. Combining many sources of data is challenging but the right thing to do.

Depends on the podcaster. Usually between 1x and 1.5x and rarely higher than that unless I'm pressed for time.

The industry is finally figuring out that tech is a tool, not a crutch.

So... drink more Red Bull?

Are there hard metrics that say remote work hurts workforce performance?

I am pretty doubtful there are studies out there that don't have major flaws.

This is not surprising. Big tech would love to fire 50% of their engineers and replace them all with H1Bs.

Immigrants get shit done.

This is one of the most level-headed comments I've seen in a long while. :+1:

FAANG only cares about bottom line. Ignore whatever leadership says about overhiring or whatever other BS.

With 75B tokens, would it be better to train from scratch, then apply instruction fine-tuning? Training from llama seems like it could introduce a lot of unexpected behavior.

A $3500 GPU requirement is far from democratization of AI.

Zilliz also raised $60M, although it was last year before the ChatGPT hype. https://www.businesswire.com/news/home/20220824005057/en/Vec...

Imo the most advanced vector DB out there is Vespa https://vespa.ai/.

Harder to set up than wrappers like Chroma, but very powerful.

Prompt engineering is a band-aid fix for the real underlying problem (one we can't solve) - all human languages are inherently vague and prone to a variety of different interpretations.

With all this GPT hype, it's good to see some good old fashioned hardware making the top page of HN.

I wonder how well this performs over standard GPT-4 with domain knowledge injected in as prompt.

I wonder how much of this is a byproduct of school administrators themselves not understanding algebra.

What kind of severance package was offered?

I died a little inside when I saw the GameCube listed. Surprised it's considered vintage now.

FAISS is open source and highly extensible. I don't think it would be very difficult to build atop it.

If an engineer or product manager working there mentions it in a casual setting, I'm inclined to believe them. If an founder/executive says it, it's a tossup.

Why? Look at companies like FTX.

Just out of curiosity - how do you know this if you don't work there?

I imagine OpenAI is probably collecting a massive dataset of "false" responses (from the general public's use of ChatGPT and Bing) and fine-tuning GPT-3.5 with it.

The rich keep getting richer.

I'll believe it once Pinecone becomes open source. This lack of transparency is why I prefer other vector databases such as Vespa, Milvus, etc.

Edit: While I do appreciate Pinecone's free tier and understand that it's great for small projects and the vector search community in general, the performance really sucks.

Anybody who has gone to college knows that students say dumb stuff - it's a part of the learning process. So long as it's not physically or psychological harmful, I think folks should let it play out. Healthy normalization is better than forced normalization.

There's some comments pointing out that this is a dupe of recently posted articles.

The fact that this keeps coming to the front page of HN goes to show you how scummy this behavior from Andreessen is.