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.
Like all things, the effectiveness of the above depends on a good balance i.e. distraction by simply jumping amongst topics vs. concentrated thought on any one idea at a time. They are not the same.
In Hindu/Buddhist philosophy there is a concept of "Samyama"(https://en.wikipedia.org/wiki/Samyama) and "No-Mind" (one aspect - https://thetealetter.com/japanese-tea-ceremony/mushin-discov...). What this means is that when you are reading/working/etc. on something, your mind is completely occupied with it to the exclusion of everything else. Even if that activity is of only a very short duration your mind is completely possessed by it and when it ends, your mind drops everything to do with it and moves on to the next activity to occupy itself completely. This is the basic idea behind meditation/mindfulness/etc.
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.
The articles does talk about lack of productivity and "not enough labor". Just my guess that that would could be likely causing bottlenecks as there isn't enough staff/equipment/ machinery to unload everything in time.
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.
> When a few teammates and I interview folks ... simply "good energy". The opposite of it would be "looks tired".
At our office, we have the more normal term of "easy to communicate" and "good culture fit" and so on.
"Culture fit" seems like a slightly more convenient term for applying ingrained racist and sexist biases, but I guess saying any applicants who don't match your racial or socioeconomic background seem "tired" works well too!
I think "looks tired" is also even more convenient for ageism than the usual "that old person didn't seem like a good culture fit".
I know this is a really negative interpretation of what you're saying, but in my experience those sorts of things really are used to filter out people who aren't like you. People of different races, people who have young kids and are thus naturally tired, people who have lazy eyes, people with minor speech impediments. All of those people coincidentally have higher rates of being bad culture fits and looking tired.
I wonder if pg would think those people are earnest or not.
>I think "looks tired" is also even more convenient for ageism than the usual "that old person didn't seem like a good culture fit".
See, this is why I don't think AI will catch on for making hiring decisions... not because it's going to be biased, but because it can be audited for bias & then corrected for it.
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.
Before I'd ever heard of the concept of a "workflow engine", I looked into step functions, thinking that was exactly the solution I was looking for. But when I started studying them, it was apparent to me that they suffer from the exact same problem of fragmentation of logical processes. In my ideal world, the breaks between steps in a process look much more like `await`s in a process that is modeled by a single function, and not like a hard split between steps.
Our other co-founder Samar actually created Durable Task Framework which is the basis of Durable Functions. I actually do not think Max was involved in this project. :)
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.
I checked for red spots in regions in Indian that I am aware of. The big ones mostly are cantonments / areas reserved by military and wild life reserves.
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.