lazydon

Not sure why, but I thought this was going to be a friend of Aaron Swartz writing in memory of him.

This is relevant not only in the context of books and blogs, but also for the shorter forms of reading that we do more often like HN or Reddit comments, tweets etc.

One way to think about it is that reading on the internet, no matter how casual, is like scattering seeds on the soil of your mind. Some of these seeds will grow into trees and influence your actions and decisions, whether you're aware of it or not.

In context of RAG, the goal is not to have a pure vector DB but to have all the relevant data that we can gather for a user's prompt. This is where Cognitive Search and other existing DBs shine because they offer a combination of search strategies. Hybrid search on Cognitive Search performs both full text and vector queries in parallel and merges results which I find a better approach. Further, MS is rebranding Cognitive Search as Azure AI Search to bring it more in line with the overall Azure AI stack including Azure OpenAI.

Missing the /s I hope.

Yeah, I dig such stuff too. For this, I go for Reddit live streams where you can QnA with the streamer and it's quite fun. In last few months I have been to Rome, Kenya, Germany and of course Japan has it's own charm.

My main use of Periscope was to watch live football (not the American one) matches. Going to miss that!

The part of the world where I live sports subscription fees are simply too high and controlled by duopoly of old school companies. On Periscope, it was great to have some good person point their phone camera to a large screen TV and watch the match together with many others on chat.

Thanks Periscope for letting me enjoy live action of a few El Clásicos!

It's funny how a team develops their own common vocab not only for the stuff they work on (Ubiquitous Language as in DDD) but also to describe people.

When a few teammates and I interview folks, other than the usual official evaluations, the best we understand each other's feedback is through this common language. A language that got unconsciously developed while interviewing and working together for years and our experiences with other folks in the organization.

We are no YC, but what PG is referring to as earnest would be in our language simply "good energy". The opposite of it would be "looks tired" i.e. for someone showing completer lack of interest in what they do. Another ones would be "fighter" (one who doesn't gives up on hard problems) and "pacifier" (one who stays calm and composed that's good for handling production incidents and help team through with difficult people).

To further muddy the waters, I think if the job descriptions came up with more details about the personality traits required for the job, that could help people have better job matches and satisfaction. I know it becomes too subjective if you overdo it but perhaps things like StrengthsFinder can help. On the other hand there's a risk of going too further on altogether a wrong path as it happened with Myers-Briggs.

It's interesting that you mention workflows and serverless together. In this regard, have you looked at things like AWS Step Functions and Azure Logic Apps? You get the best of both worlds - state machines with excellent workflow management tools along with the flexibility and cost effectiveness of AWS Lambda in the background.

Talking of "Serverless Revolution", I think we are going to see more of such abstractions as things evolve. Abstractions and tools built upon serverless functions that are going to cater more closely to problems being solved rather than worrying about managing new-found complexity of the functions themselves.

May be it's just me, but the first thing reading that name reminds me of is the Zika virus. I wonder why would you choose a name for the startup that's so close to something with horribly negative connotations. Especially, in today's world scared to hell by viruses.