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yblu

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twitter.com 1y ago

Felix Hill (DeepMind AI scientist) has died

yblu
14pts3
world.hey.com 3y ago

DHH: The luxury of working without metrics

yblu
6pts3
www.cnbc.com 4y ago

California proposes 4-day work week without pay cut for large companies

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www.bloomberg.com 4y ago

US mortgage rates hit 5% for first time since early 2011

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twitter.com 4y ago

Someone noticed the Axie Infinity hack 6 days ago

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4pts3
www.figma.com 4y ago

How Figma made their app fast (2018)

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1pts0
news.ycombinator.com 4y ago

Ask HN: Simplest stack to build web apps in 2021?

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99pts186
avc.com 4y ago

Fred Wilson on Crypto Investment

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5pts0
gizmodo.com 4y ago

Robinhood hack compromises millions of customer email addresses and names

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1pts0
twitter.com 4y ago

Long Beach has temporarily suspended container stacking limitations

yblu
678pts485
stevenkitterman.com 5y ago

React hooks are abstraction that stretches too far

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1pts0
news.emory.edu 6y ago

FDA: Human trials can begin for Emory Covid-19 antiviral

yblu
3pts0
news.ycombinator.com 6y ago

Show HN: Octotree, the missing GitHub tree view

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7pts0
blog.coinbase.com 6y ago

Coinbase's Post Mortem: Password storage issue affecting 3,420 customers

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1pts0
www.newyorker.com 7y ago

Liu Cixin's War of the Worlds

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6pts0
rodneybrooks.com 7y ago

The seven deadly sins of predicting the future of AI (2017)

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2pts0
www.startuplessonslearned.com 7y ago

A Conversation with Scott Kupor of Andreessen Horowitz

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2pts0
a16z.com 7y ago

Field Notes: Highlights from Huawei

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www.forbes.com 7y ago

Microsoft Announces IoT Plug and Play

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3pts0
ai.googleblog.com 7y ago

See Better and Further with Super Res Zoom on the Pixel 3

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3pts0
www.iflscience.com 9y ago

Photographer Being Sued by a Monkey Over Its “Selfie” Is Now Broke

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2pts0
www.kb.cert.org 9y ago

NPM hydra worm disclosure [pdf]

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3pts0
news.ycombinator.com 10y ago

Show HN: Octotree now supports GitLab

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10pts0
www.wired.com 10y ago

Climate Change Means One World’s Death and Another’s Birth

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1pts0
medium.com 11y ago

Don't fuck up the culture

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1pts0
medium.com 11y ago

How I worked remotely from 11 cities in 3 months

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aeon.co 11y ago

Is the many worlds hypothesis just a fantasy?

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5pts0
medium.com 11y ago

Microsoft is interesting again

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71pts41
chrome.google.com 12y ago

Octotree: the missing GitHub tree view (Chrome extension)

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362pts106
github.com 12y ago

Show HN: Chrome extension that helps navigate GitHub code easier

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1pts0

used to be one of the “sharers,” maintaining a fairly popular blog, writing tutorials on platforms like DZone and CodeProject, answering questions on StackOverflow, and creating open-source projects that collectively amassed millions of downloads.

At one point, I decided to monetize one of my open-source projects by creating a commercial fork. That’s when a group of people, none of whom had contributed to the project in any way, started a witch hunt over a few super trivial lines of code they accused me of “stealing” from contributors. Despite having the full support of all actual contributors, the backlash from these outsiders left me drained and disillusioned. So I stopped sharing my work and contributing to open source altogether—and honestly, I’m happier for it.

To all the Jimmy Millers who genuinely appreciate the goodwill of creators: be aware that there are people who will leech off it or even destroy it.

Okay, maybe I shouldn't have mentioned the worst possible outcome. Let's use the words of Sam Altman, the risk here is "light out for all of us", and let's just assume it meant we would still live, just in darkness. Or whatever plausible bad case outcome you could imagine. Do you see any negative outcome is possible at all? If you do, would you at least be cautious so that we could avoid such an outcome? That would be the behavior I expect to see in leading AI scientists and yet...

You disagreed with me, but at least you acknowledged there was risk, even though we could disagree about the odd or potential impact. Yet, folks like Yann LeCun ridiculed anyone who thought there was a risk AI could endanger us or harm our way of life. What do we know about experts who are always confident (usually on TV) about things that haven't happened yet?

What I found disheartening was many of those scientists, especially those on the "nothing to worry about" camp, seemed not to entertain the thought that they could be wrong, considering the scale of the matter, i.e. human extinction. If there's a chance AI poses an existential threat to us, even if it is 0.00000001% (I made that up), should they be at least a bit more humble? This is uncharted domain and I find it incredible that many talk like they already have all the answers.

They lost their money on the short position because the price went up, instead of going down. Had other people noticed about the hack as early as they had assumed and the price went down as they had assumed, they would have made a lot of money.

I used to maintain several popular open-source projects and contribute to even more popular ones. It was always fun at the beginning, especially because I built them for my own needs. But I kept getting asked to fix bugs or improve things even long after my needs had expired. I tried the donation route for a little while but it didn't go anywhere - I received maybe a few hours worth of money (versus hundreds if not thousands of hours I had spent working on those projects). I also tried releasing a paid version for one of the projects and got buried with hate mails and, unfortunately, online abuse. That was when I stopped working on open-source and I'm happier than ever.

I'm very happy for people who make it from doing serious open-source work. I think they deserve it. But at the same time I feel bad for those who build or maintain no less serious or popular work and yet couldn't make enough to worth even a portion of the time they'd spend.

Debugger is your friend :)

Start by adding breakpoints for some key actions of the app. Then step through the flows with the debugger. First pass you can just step over functions to get the high-level idea. In subsequent passes, you can step into functions that seem important. Rinse and repeat until you understand those actions well. Then move on to other areas in the app.

This works because you can see the actual end-to-end execution flow (not always clear from reading code), inspect runtime data (impossible by reading code) and even change the runtime data (variables, DOM) to validate assumptions about how the code works.

Thanks. What do you think about SvelteKit? I looked at Svelte, liked it a bit and went on to explore SvelteKit to see how the API/SSR/route was handled but I couldn't get through their docs. Maybe I should find a better tutorial to evaluate it.

Interesting. I didn't even think of this option. Let's say the app will eventually grow beyond simple CRUD, do you think something like Bubble.io can still be easy to build on? Or at that point, one would have to migrate to a more bare metal framework?

Thanks. First time I heard of RedwoodJS. I skimmed the home page, looks good so far. The only thing I feel unsure is the use of GraphQL. It seems to require some learning curve and I'm not sure why I need it over plain old Rest API.

No fishing. Just a dev looking for HN recommendation to avoid missing out on a good framework fitting my needs. Thanks for your idea. Going vanilla JS/PHP to build modern web apps can get complicated real quick I think. I'd prefer a framework to take care of all the plumbings (route, state, binding, SSR etc.) so that I just throw in the app UI & logic.

I thought so too, until I read the part where she has been paying lawyers $20,000/month for many years, taking care of a retired husband, 2 children in college & 1 in high-school and having health problems of her own. And that's only the costs we know.