281–290 of 428 posts
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It also seems to be a main selling point of a lot of logistics and supply chain star-ups these days. I guess it sounds way sexier than "give us millions to build a new forwarder and our own tech because we don't want to use off-the-shelf software and we want to be acquired by DHL one day".
At least they've stopped talking about blockchain though...
I'll share a disturbing anecdote about one of the largest and most influential software companies in the world, based in the Bay Area, and I'll leave it to you to guess which one. I know of several people who work there who are ranked very highly and are paid extremely well, who have told me personally that the work they do there is terrible for the users (i.e. it's exploitative) and terrible for the internet (it int…
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There are a couple of lessons in that anecdote.
Yep. Still learning them... I had a similar cognitive dissonance when doing "R&D Grant applications" a long time back. I kept on thinking "Research" was the sort of rigorous academic work you do to earn a PhD. In the government/business world, it seems pretty much spending time or money to learn how to do anything not 100% required for your business previously counts. Including things like "selling our widgets, only…
It doesn't have to change the world, as long as it moves the needle.
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Business guys usually comes together and brag about their works. Quite often, they start to talk about things they heard but don’t understand much. And the other one hear about it, get excited, but also don’t understand much. Then on the meeting, he brought the idea up and convince everyone to do it. The next you know, you’re pulling your hair out trying to understand what is going on
I know a guy that works at a company where the CEO will sell something to customers not knowing anything about the technical details, and then come back to the business and "make them do it".
In one sense, great, I don’t want to bother about what a customer’s priorities are. But it turns out that only works if you TRUST the product team.
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I have had a couple conversations where a business guy starts off with a decent idea then he says something like "the cognitive AI module will fill out your expense report after watching you do it for a couple weeks". What the fuck? If I had the ability to code a cognitive AI module which could do that I would not be building it for you, I would solve self driving and license the software for billions.
I had a moment like that once where the product manager said something like "at this stage of the process the software will go off and find the documents specifically relevant to this stage" - and I was like pointing out we could do a search but that might bring back irrelevant stuff or fail to find relevant stuff - he insisted that it would automatically find just the exact documents people would need at that stage…
I'll share a disturbing anecdote about one of the largest and most influential software companies in the world, based in the Bay Area, and I'll leave it to you to guess which one. I know of several people who work there who are ranked very highly and are paid extremely well, who have told me personally that the work they do there is terrible for the users (i.e. it's exploitative) and terrible for the internet (it int…
Very few people are "bad" people but the way you're describing it makes it pretty clear that they're making unethical choices, and they're doing so consciously. Actions speak louder than words.
A small team in a company I worked for got into machine learning a few years back. They had some success with some toy examples and were now looking for applications. They tried to use it for optimizing some specific engineering procesess. Two people (one was me) were warning them that this is a waste of time and will cost the company a fortune and then no one will want it because the quality will be so much poorer.…
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You need to ask him to define success and failure for the feature. Under what conditions will he accept it has not worked
It's an iterative process. Our conversations have gotten better over the years. He has the connections and market knowledge so I have to respect his wishes most of the time. I make it sound bad but it's because I'm, like many of us, tired.
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Many of us have been there. I think what struck me was how low the treshold really is for what's accepted as "AI" in most industries. Do this: 1. make something that has some "modern" AI such as deep learning in it, but that doesn't do anything much useful (because that's almost impossible in most cases). E.g. predict something trivial based on a time series, and repoort it. We all know how hard this is, so just take…
genuine question here: why is using deep learning to do something useful impossible? I can think of a bunch of potential use cases for gpt 3 alone. or do you mean its impossible to build useful models from scratch because all the "easy" problems are solved? this also seems like a limited mind set. context: I'm a ML noob
This is completely false. Here are some examples: Google translate. It's infinitely useful. It's not perfect, but it's good enough for me when I want to quickly check whether my translation into my second language is okay, or I'm not sure I got the meaning right of some translation.
Second example: My home security cameras now uses object classification and only alerts me when there's movement in "high risk zones" and it's human. So many stupid false positives of shadows and stray cats completely gone. I'm pretty sure I can fine-tune it with examples of myself and my family and it will ignore them when it's reasonably confident it's them, but I couldn't be bothered.
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This may be a stupid question, but what does "client/server" mean in this context? I would interpret it to mean any networked or Internet-based application that has both client- and server-side logic, which obviously isn't anything special in 2020, but it sounds like you're referring to something else that would now be considered outdated?
> This may be a stupid question, but what does "client/server" mean in this context? Not a stupid question at all, since terminology has been shifting over the decades. Back in the early 1990s, the original client/server generally meant all application code (logic and UI) on the client computer, and all the data on the server. So a very fat client. Database stored procedures (i.e. some logic on the server) only arriv…
Did row-level security already exist in some databases at that time? Otherwise this must have been quite limiting.