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serial_dev

6,246 カルマ登録 7 年前

投稿

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1 ポイント·投稿者 serial_dev·先月·0 コメント

Claude helped recover 5 BTC that was thought lost for 11 years

twitter.com
7 ポイント·投稿者 serial_dev·2 か月前·4 コメント

A Firebase Mistake Led to a €3,167 AI Bill Overnight in My Flutter App

ulusoyca.medium.com
3 ポイント·投稿者 serial_dev·2 か月前·1 コメント

I used Claude+Obsidian to build tax fraud detection agent, found 217 fake expats

twitter.com
2 ポイント·投稿者 serial_dev·3 か月前·0 コメント

Kraken Security Update

twitter.com
2 ポイント·投稿者 serial_dev·3 か月前·0 コメント

Microsoft Rust Training Books

github.com
2 ポイント·投稿者 serial_dev·4 か月前·0 コメント

AI Assistant instructs staff to ignore fire alarm and keep working

mastodon.online
4 ポイント·投稿者 serial_dev·5 か月前·0 コメント

Meta patented an AI that lets you keep posting from beyond the grave

businessinsider.com
2 ポイント·投稿者 serial_dev·5 か月前·0 コメント

AI-Assisted Development at Block

engineering.block.xyz
1 ポイント·投稿者 serial_dev·6 か月前·0 コメント

Is Antigravity down? Agent terminated due to error

old.reddit.com
1 ポイント·投稿者 serial_dev·6 か月前·0 コメント

The New York Stock Exchange Develops Tokenized Securities Platform

businesswire.com
4 ポイント·投稿者 serial_dev·6 か月前·0 コメント

Adopting AI at Sentry – "Internal" Email

twitter.com
2 ポイント·投稿者 serial_dev·6 か月前·0 コメント

Let a Thousand Societies Bloom

vitalik.eth.limo
4 ポイント·投稿者 serial_dev·7 か月前·0 コメント

Base Pay Delivers 1-Step Crypto Payments

blog.base.dev
2 ポイント·投稿者 serial_dev·7 か月前·0 コメント

Absurdities and contradictions of my career in crypto

leku.blog
3 ポイント·投稿者 serial_dev·7 か月前·0 コメント

Kalshi Reaches $11B Valuation as App Takes over America

businesswire.com
5 ポイント·投稿者 serial_dev·7 か月前·7 コメント

Detect-fash: A utility to detect problematic software and configurations

github.com
4 ポイント·投稿者 serial_dev·9 か月前·0 コメント

コメント

serial_dev
·昨日·議論
It looks like the ChatGPT is a very strong brand despite the confusing name (who the hell knows what GPT stands for?)
serial_dev
·昨日·議論
Am I the only one who thinks this landing page is garbage? Funkily it feels like a long wall of slop. I guess you shouldn’t get high on your own supply.
serial_dev
·4 日前·議論
They wrote: > inside the famed Livraria Lello bookshop

So I think they are aware of the “false friends” words.

With that said, I don’t think it’s an actual library, more like, as you said, an art installation, an exhibition, a space for highlighting books.
serial_dev
·7 日前·議論
They don’t avoid the problem. They avoid solving it and let it be your problem.
serial_dev
·7 日前·議論
You don’t need time limit, you just need to deal with the company frequently enough for this to work.

How I would imagine this work if there was will (I don’t think there is)… there are online grocery delivery services that do this already, it’s not that complicated.

You get your stuff delivered in a reusable bag. They charge you 1 dollar for the bag. Next time you have something delivered, you give the bags back and you’ll get your money back.
serial_dev
·8 日前·議論
Or, the kind of people who bought iPhones in 2008 were a different subset of the population than those who didn’t and as such they have different opinions and preferences when it comes to family and kids?

With that said, I can also see that infinite entertainment and infinite information makes you deprioritize having children.

But it’s far from proof, this study. It’s more like “I found some numbers that support my already existing opinion, so let’s run with that”.
serial_dev
·8 日前·議論
Rural area? Hard to build.

Dense city? Hard to build.

Got it.

Jokes aside, I guess population density is just not the main factor in internet. It’s competition, it’s regulation, it’s corruption, and pop density is simply not a deciding factor.
serial_dev
·8 日前·議論
I know I’m a conspiracy theorist but I’m looking out for random scandals, random high profile deaths, random infrastructure issues and random large scale accidents.
serial_dev
·12 日前·議論
These tools can’t reliably fix a 4px misalignment on my icon, better ask them about a medical report… but honestly, I would do the same.
serial_dev
·19 日前·議論
I might be missing out on something but I never had to explain my project. Just give it a task, or if you really want to, type it quickly, then you are good to go.

I can’t imagine this being worth optimizing. The issue is never that Claude can’t figure out what the projects is about…

Am I missing something or does this project not solve a problem most regular people have?
serial_dev
·23 日前·議論
It could be the author's fault, but IMO more likely the apartment's, the landlord's, and/or the neighborhood's fault.

With mold, I guess the people living there have some influence, they might never open the window, they might shower 50 minutes, etc... but there are some places where no matter how careful you are, mold will show up. And even if a perfect tenant with the perfect process for preventing mold might be able to keep it away, you can't be expected to meet those standards. Some buildings are just more prone to mold than others.

Same with cockroaches... Sure maybe OP never cleans up in the kitchen and leaves chinese take out in the sink for a month. It can also be that their neighbor is extremely messy, or one window is next to the trash, or that the pipes have something nasty in them that never got cleaned out, so no matter how clean your room is, the roaches still get in somehow.
serial_dev
·24 日前·議論
They put so much stuff into the URL, usually my user ID, my phone, browser info etc…

I don’t necessarily want the people I share the link with to know my potentially pseudonymous user.
serial_dev
·26 日前·議論
Reminder: ‘the software is provided “as is”…’.

It’s not their problem that you, or anybody else, think you are owed 24/7/365 emergency support.
serial_dev
·26 日前·議論
Gemini also has it all, it learns and knows who you are, you have history of chats where you can just jump back into a conversation a week later if you want to.
serial_dev
·26 日前·議論
Isn’t it because Swift (and SwiftUI, if you used that) changes the recommended approach to solving X every 18 months?
serial_dev
·26 日前·議論
That subreddit is likely an echo chamber.

You would not judge what people think about politics by only reading comments on a Hasan Piker video (or only on a Nick Fuentes video).
serial_dev
·26 日前·議論
I’d believe they accidentally uploaded the wrong files if they uploaded the correct ones. To state that they accidentally uploaded something else and then not upload the correct version means they probably do not have anything and either hope people forget about this or they are scrambling to have something that is at least close to their original claim.
serial_dev
·29 日前·議論
To be fair, they are also different things, though there is certainly overlap...

To me, tech debt, captures the idea that we cut corners now to move faster, with the understanding that it will need to be "re-paid" and cleaned up later, otherwise we take on too much tech debt, and everyone knows too much debt is bad...

AI slop code means people feed their tasks to a model, trust it to drive the changes, they might do some cosmetic clean ups, then generate a 3 pager PR description they didn't even read themselves, then toss it over to the code reviewer, let that chump figure out what the hell I was doing while I ship 3-4 more PRs...
serial_dev
·29 日前·議論
While I don't have the answer, I will leave my thoughts here, maybe my comment helps you or some of the responses might...

I was thinking about this when I tried a faster model (Cursor released something fast about a month ago?). It was such a joy to use (well, at least compared to other models, where you wait 5-10 mins for even simpler tasks), and I noticed I felt much closer to the problems, and I got closer to a "flow" state... ...but unfortunately, the models are faster for a reason, and the output got worse. While I did enjoy my job more, I was also left worried that the model missed important things (and it did when cross referenced with other models or just doing the thinking myself).

IMO we need much faster yet capable models to bring back a bit of a flow state.

Another approach worth trying is to get some agents researching 4-5 tasks thoroughly in the background, discovering all the relevant details, collecting all the files likely to be edited, their content etc..., then work on one thing at a time with a better focus for yourself, maybe use a faster model.

One thing I try to do is code manually if I know that I can be faster and better. It's convenient to stick to one tool, the agents, when editing code, but for smaller clean up tasks, they just never get it right, and sometimes it's better to do 1 min manual work over 5 mins of explaining what you want and the agents still not delivering it...
serial_dev
·先月·議論
I’m honestly wondering where this “win in the market with AI” goes for companies. It’s not unique to this place, it’s in every layoff tweet. What’s the strategy? Just “AI harder” than others?

I’m working at an AI pilled company and I just don’t see the gigantic improvements. Not in my work, not in anyone else’s. It’s a great technology, we finish some tasks faster, some tasks really 100x faster, sure, but it’s a <2x improvement at an organization scale. It’s not like suddenly we cleaned out the defect list. It’s not like I can use any app without seeing 5 bugs in the first five minutes. It’s not like I got any meaningful new features.