Don’t Get Distracted, Caleb Hearth

Either I’ll say no and they’ll fire me, or I’ll say “that’s not something I’m comfortable with, best of luck” and quit. These are the worst case scenarios, not necessarily what will happen.

Before saying no then, I need to consider: Can I afford to leave here without a job financially? Am I likely to be able to rely on my network to get me another job? Have I built up a trust with my employer where I can go to them with this type of thing and feel confident that I’ll be heard out? The answer to these questions was no for me in 2011. Sometimes, something is important enough that you should still do something, but there’s a lot that goes into these decisions. I’d like to think that I would still say no.

Stay away from my trash!, Steve Ruiz

We would still need to have discussed the problem and designed a solution. It would have still required the sustained attention of a contributor who cared and wanted to see the change go in. My prototypes would still be useful for research and design but their cost to produce would be lower. I would have made more of them.

Once we had the context we needed and the alignment on what we would do, the final implementation would have been almost ceremonial. Who wants to push the button?

Monolith: Real Time Recommendation System With Collisionless Embedding Table (via HN)

Online training stage. After a model is deployed to online serving, the training does not stop but enters the online training stage. Instead of reading mini-batch examples from the storage, a training worker consumes realtime data on-the-fly and updates the training PS. The training PS periodically synochronizes its parameters to the serving PS, which will take effect on the user side immediately. This enables our model to interactively adapt itself according to a user’s feedback in realtime.

Reducing Error Compounding in GenAI Systems – The Living Deadline

This isn’t about distrusting models, it’s about giving them good building blocks to use.

Use GenAI to translate intent. Use the building blocks to execute. Keep errors where you can measure them.

That is how automation becomes something you can trust instead of manually testing once and being hopeful.

I now assume that all ads on Apple news are scams Hacker News

I don’t know if it is just a symptom of growing up during the days of the net’s Wild West and navigating through sites like gamecopyworld or what, but I just seem to have some inbuilt filter which doesn’t even acknowledge the existence of ads.It’s hard to explain but it is like some subconscious filtering that occurs on a preRecognise hook or something. Weird.