Hey, you might want to experiment with local sync approach by allowing devices to sync when are on the same network. I have never done this so there might be hurdles, but this can bypass the issues with cloud sync while maintaining the ability to sync across devices
"I love this idea. It fits the privacy philosophy perfectly—keeping data within the local network.
Since this is an MVP, I'm sticking to 'Export/Import' for now to keep things simple and robust. But eventually, solving the multi-device puzzle via local P2P sync (instead of cloud) is definitely the dream. Have you seen any web-based apps that handle this well? I'd love to check them out."
The point is that despite their deliberately confusing decision to have the word "Bureau" in their name, they have absolutely nothing to do with the government or anything official. They are as official as JD Power, Consumer Reports or Yelp. I wonder how many millions of people continue to be fooled by their deceptive name?
So if you donate money to charity then you get a pass on obeying the law and general morals? Is this like indulgences from the Pope? How much does a murder cost?
Well, yes, actually. That does seem to be the way of the world. Look how many 1%ers only make donations based on PR recommendations to keep their image in good standing. Funny you made a Pope joke, but it is common for people attending the Church to pay donations for absolution. As for your murder cost question, I guess that depends on which ad in the back of Soldier of Fortune you replied.
If I go out and randomly punch someone in the face but buy a homeless person dinner, hey, I did something good, but maybe I still shouldn't have done the former.
Yea but he’s not exactly going around randomly punching people in the face is he? Lot of moral grandstanding in this thread.
He’s a human being and he’s not perfect but some of these comments calling him a psychopath or sycophant are going way too far. My psychoanalysis of everyone psychoanalyzing Mr Beast would be to turn the screen off and get some fresh air
Actions have a statistical inevitability to them. I don't think it's much different than going out and randomly punching people in the face.
When you have a lot of money and influence, and you have a choice between two policies: policy A which will statistically harm 1,000 people, and policy B which will statistically harm 1,500 people, it is no different, to me, than going around randomly punching 500 people you never had to.
For some reason people give these choices a pass. I don't.
I might give Mr. Beast a bit of a pass because there might be some ignorance involved. But for most people making these decisions, that live within large corporations, I don't, because they know better, they just don't care.
"In September 2024, Donaldson was one of the subjects of a class action lawsuit that alleged widespread mistreatment, sexual harassment, and unpaid expenses and wages on his ongoing reality television series."
Not really, no. There is extensive documentation showing his charity is way less than it appears to be, and selling overpriced unhealthy garbage to children negates what little goodwill he may have gained through it, in my book.
I recommend you to show an example and a result for people to understand exactly what the tool does. As far as i know "merging images" is not a common term with a specific meaning.
Tbh, to keep my ego in check, whenever i get rejected ghosted, or whatever, I just assume the company/interviewer is doing a perfect job for screening for the kind of candidates they want and need, and if I don't pass it means "there wasn't a fit", tbh if we were totally honest with myself, I don't fit well into most corporate cultures, and I should not care if they ask me questions I did not care enough to answer well in the first place.
A highschool performance question is not odd. It is meant to filter me out - that is perfect, because why would I want to waste my time on an interview in a company with this mentality, in the first place?
The article's headline is great and it delivers the message clearly. But the whole premise to support the message is very assumptive - "there is no moat". There is a lot moat in cursor, bolt, lovable. The same way there is moat in the chat apps of openai, anthropic, gemini...
They say there is no moat, but in fact, a feature in anthropic takes a good few months up to a year to appear on openai chatapp, and the same is true vice versa.
You could say some of those issues are solvable by allocating more money, and resources, which might be true, and it could be true that it would be beneficial for openai to develop their own cursor platform in the future, to get better margins. But in reality, who knows when that future would come? Maybe by then cursor will have much more moat and entering the market would be much more difficult. Maybe openai will continue developing their core product and entering other domains will not be worth the effort.
Currently, LLMs as a product have not been solved. All companies operate at a lose in order to rise the top, and we still don't know how it will be monetized in the future. But as it stands - there is already moat, moat in infrastructure - even though a few years ago they said that llms have no moat, now there is already a strong set of features and "agents" that deliver us the deep reasoning, online searching, and multimodal experience.
So, there is moat. But moat can accumulate over time. For the article to be true - it should prove the the current moat is low, and it can not accumulate.
It is less about performance issues of loading megabytes on the browser (which is also an issue). It is about those cases where a fetch request may take a noticable amount of time just because of server distance, maybe the server needs to perform some work (ssr) to create the page (sometimes from data fetched from an external api).
If you have a desktop app it will also have to do the same work by fetching all the data it needs from the server, and it might sometimes cache some of the data locally (like user profile etc...). This allows the developers to load the data on user intent(hover, and some other configurable logic) instead of when application is loaded(slow preload), or when the user clicks (slow response).
Even if the the target page is 1byte, the network latency alone makes things feel slugish. This allows low effort fast ui with good opinionated api.
One of the reasons I can identify svelte sites within 5 seconds of visiting a page, is because they preload on hover, and navigating between pages feels instant. This is great and fighting against it seems unreasonable.
But I agree that in other cases where megabytes of data needs to be fetched upon navigating, using these features will probably cause more harm then good, unless applied with additional intelligent logic (if these features allow such extension).
Edit: i addressed preloading, regarding pretending its a whole new set of issues which i am less experienced with. Making web apps became easier but unfortunately them having slow rendering times and other issues.. well is a case of unmitigated tech debt that comes from making web application building more accessible.
When I read the first meaty chapter about graphs and commutativity I initially thought he just spends too long explaining simple concepts.
But then ai realized I would always forget the names for all the mathy c' words - commutativity commutativity, qssociativity... and for the first time I could actually remember commutativity and what it means, just because he tied it into a graphical representation (which actually made me laugh out loud because, initially, I thought it was a joke). So the concept of "x + y = y + x" always made sense to me but never really stuck like the graphical representation, which also made me remember its name for the first time.
It's because the graphs are visual metaphors that encode privileged information[0]. Which is an often overlooked aspect of teaching imo. Your own initial dismissive reaction kind of shows why: people don't really get the point until they realize it works, and even then they're not sure why.
