Many comments are mocking the "Non-technical teams are now shipping production code" line as an obvious disaster waiting to happen.
I think this will be commonplace in the not too distant future.
Some disasters will happen, just like they did before AI. Skeptics will gleefully point out these failures while more and more non-technical teams ship code.
Will they also do the maintenance, future migrations, and handle prod alerts at 2am? I’m all to empower non technical people but shipping prod code isn’t the way to do it. What will happen is a very large amount of unmaintained services with no coherence, that will accumulate over time. I cannot imagine the monsters we will after a few years of that being normalized
No, because you're misunderstanding how this works.
Technical teams still need to design and build out the infra.
Technical teams still need to think about how to design and secure the backend systems.
The only thing that changes is that non technical people can now build UIs and internal tools on top of your core assuming you have solid APIs, MCPs, docs, and components to build on top of.
If you're allowing non-technical teams deploy mission critical software then you're not doing it right.
No one wakes up the frontend dude at 2am because the JS is doing something weird in the browser... All of the core infra and backend should still belong to technical teams.
I'm sure Coinbase understands this and when they say non-technical people are shipping software they don't mean they're vibe coding terraform infra and deploying full-stack user-facing applications.
I do understand the theory, none of what you mentioned is new to me or contradict my points. I do not believe things will be done right. It’s not only mission critical services that require maintenance and need to handle incidents. Internal services are as important to a company as their public facing ones, and once you get the ball rolling I do not believe we won’t see the same approach used for customer facing services. I also do not expect non technical people to understand differences between MCP servers, rest apis, direct db access, and other resources. If they do they are definitely technical… so it will be up to whatever they let the agent do. Which is the whole problem here, you need to be technical to understand and push back when agents are doing things wrong
This is a whole lot of speculation masquerading as knowing what you’re talking about. You don’t have a clue what the CEO meant. If you did, you wouldn’t be talking here.
Many people say this and they also say (see top comment) it being for financial company. But this being for financial company is an extra layer of risk that I am not willing to take personally.
You can see when they buy or sell a position. It's on the blockchain so it's all public. And yes, copying positions is called copy-trading and it's extremely popular.
Orders aren't public though. Only the actual trades. This is important because by the time the trade is known by others very often the edge is gone. Especially if you have other people watching the same trader and they all try to copy the trade at the same time.
Not all strategies are low-latency, so you can copy trade someone with a buy and hold approach. For example someone you think is an insider or whale who might influence the outcome.
It wasn't about having the videos held hostage, but about the ease of accessing and viewing them. I didn't want to do DVDs at all - frankly, that's just a bad experience to go through 200+ hours of unlabeled video.
My siblings are very much not developers. That's a lot of data for them to download, store, and figure out a way to view.
I was worried they'd just see a list of filenames and not put in the effort. By creating a streaming experience, I thought they'd actually watch them.
You might be correct that Gemini could have helped, I didn't test it, but much of the knowledge of who was in a scene, where it was, and why it would matter is inside my head. I doubt any model could effectively label locations and people over 20 years of video.
As to the opportunity cost - I'm currently looking for work, so mine is undoubtedly lower than yours!
> My siblings are very much not developers. That's a lot of data for them to download, store, and figure out a way to view.
I wasn't suggesting anything about your siblings, but you, who are a developer. I was just talking about the actual download step, not what you did after that. (Obviously you were going to host them somewhere else in some other form. Probably not DVDs but a little quickie website or maybe just a Flash drive with a HTML file index, say, I don't know, lots of options here to make it user-friendly for your siblings on Christmas Day. The hard drive or Flash drive idea has the benefit of LOCKSS, especially if you use up the spare space providing PAR2 FEC.)
> I doubt any model could effectively label locations and people over 20 years of video.
Actually, Gemini is highly promptable with a large context window and a single still image only takes up ~300 tokens IIRC, so I think that you could probably do so! Just include, say, 3 photos of each person over time with a natural language description, and 1 photo of each location, and that might be enough to get back useful labels. Gemini can even do bounding boxes. (Google is quite proud of its vision and video analysis capabilities.) And you can run multiple passes or split up videos etc.
Ah I understand you now. Yes I could have had a service do the digitizing then only done delivery myself. And given the time investment that probably would have been more sound. I don't think I'd do it all myself if I did it again.
I didn't know Gemini models were that capable. I admit I'm still skeptical about this approach though - even if it were capable of accurately labeling people and locations across decades, there's no way it could know when a scene is of personal interest. I kept a running log for each sibling as I was manually doing the labeling, knowing what they'd want to see, which presumably is only possible for me and my siblings to do with any accuracy.
If AI could ever do that then we've definitely hit ASI!
> I kept a running log for each sibling as I was manually doing the labeling, knowing what they'd want to see, which presumably is only possible for me and my siblings to do with any accuracy.
But you could feed that back in! Just write it down. It's all tokens. As you read over descriptions and note down key pieces of family history or per-sibling details, that provides information about better annotating the next video for possible points of interest. And you can chat with the LLM and write down more general principles. It's not like a LLM like Gemini doesn't know an enormous amount about family life and things of sentimental value, and can't make good initial guesses. And when you do this, you still haven't used up more than a small fraction of the context window with these image references and text profiles and principles...
I think this will be commonplace in the not too distant future.
Some disasters will happen, just like they did before AI. Skeptics will gleefully point out these failures while more and more non-technical teams ship code.
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