Oh that's a really interesting idea. Yea I dislike the idea of charging the job seeker but have not found a good way to monetize companies (not that they even know about me anyway)
While I agree that just dumping the puzzle instructions into an llm and getting the right answer at least doesn’t align with the spirit of Advent of Code (though it does show how crazy good LLMs are getting), I’m using this as an opportunity to try out the new Windsurf AI IDE and am driving the AI code editing in it to help me write the code to solve each puzzle (I’m using Ruby).
My goal is to develop the muscle memory for the tool so I can write code quickly. I’m still generally thinking through the puzzles, but being able to just write out plain English logic, get code generated, ask for it to be well documented, quickly refactor things to be generally reusable, etc, is just fantastic and how all software development should be done in this day and age frankly. Such an accelerator to problem solving.
Am I missing something or does this just completely not do anything on iOS/mobile? I see in the json editor a single object with two keys, and then no visual tree rendering whatsoever
Sorry this was intensionally, I couldn't find a way to show the graph in mobile so I just hide the div. I will add a tab or a button to switch between the json and the graph.
I’ve reverse engineered a few industry conference apps to more easily get the list of attendees (some conferences will literally only give you a pdf of scanned paper lists of contact info for attendees, which is insane, especially if you are paying to have a booth there).
I’ve either decompiled the Android app, or ran mitmproxy on the device, or both, to figure it out.
Does anyone have a recommendation for having a pre-rooted Android simulator with the tools you need installed and ready to go to make this a quicker process? I’d love to just drag and drop an apk into a simulator and start inspecting vs having to use a real device and all that jazz.
Interesting potential use case for AI: automatically rewrite the code in a book like this for python 3 vs 2. I know that’s not trivial, but seems like a very trainable use case
We don't need to cram AI into every possible technical corner in existence. It shouldn't be the first solution suggested for every problem that arises.
There are already Python 2 to Python 3 converters that don't use any AI. It's usually unnecessary.
You desperately need to show your product on your landing page, and have headings that convey the individual use cases and value props of it for the reader.
Simple general rule of digital marketing: No one reads website copy. They look at pictures and scan headings.
Another simple rule: I inherently don’t care about your product if I’m reading your site for the first time, so don’t spend time describing your capabilities. Simply describe how my life will be better if I use your product, and show me the product doing those things.
Less words more pictures. Less words more value.
(Sorry for being blunt, just trying to help with your conversions)
Thanks for this detailed feedback. Another user somewhere else down this comment thread gave similar feedback and I think together it's enough for me to throw together some alternative landing page layouts.
Funnily enough I apply some of these things in a different context to READMEs for my popular GitHub projects[1], but whenever I see them applied on a product page I often click away very quickly because I associate with snake oil (it wouldn't surprise me that I'm in the minority here).
I second this, especially the part about adding headings.
Also, the line length (in characters) is crazy long. You ought to constrain the width of your text by putting it in columns or blocks, because you're trying to sell me something and I'm too lazy to resize my browser window just to get a not-unpleasant reading experience. I'd do this for https://danluu.com, but not yours yet.
It sure feels like, barring some major regulatory setback/surprise, that within 5 years it will be funny to remember getting into an uber or cab driven by a real person when in any major city.
The biggest challenge overall is going to be overcoming the issues with autonomous driving in inclement weather. But I’m sure it’s doable eventually.
Last year, I went to a AI / labor roundtable discussion event at the university where I work. One of the folks attending was a state congressman or something like that, and the topic of autonomous vehicles came up. He said his goal was to ensure that there would NEVER be fully autonomous vehicles in Indiana. I got the impression that the rest of the room agreed.
I was pretty baffled by this, but figured that attitude should be expected at a "labor" event, so I brought the topic up with my IT colleagues, and many agreed that they would never trust a driverless car.
I agree that we will eventually get there, but I think major regulatory setbacks should be expected, and a 5-year timeline is pretty optimistic.
They'll do what we've been so-well-trained-for at self-checkouts: the passenger might be given control of the vehicle in such situations (e.g. loss of network connection).
>within 5 years
As for predicting the future: I think within five years ALL vehicles on public roadways will require a beacon for travel, simply to alert other self-driven vehicles & intersection controllers. This process will be gradual, akin to "insurance discounts" for allowing driving habit monitoring (e.g. without a beacon, traffic lights won't auto-cycle for you).
> As for predicting the future: I think within five years ALL vehicles on public roadways will require a beacon for travel, simply to alert other self-driven vehicles & intersection controllers. This process will be gradual, akin to "insurance discounts" for allowing driving habit monitoring (e.g. without a beacon, traffic lights won't auto-cycle for you).
I personally think within 5-10 years, forward facing cameras will be mandated on all vehicles, starting with commercial/heavy duty vehicles. Yes, there's some degree of a privacy argument with it all, but the safety and liability boosts dramatically outweigh them.
Assuming that happens, either your suggestion could also happen, or a visual solution to the same thing could also be in play.
> They'll do what we've been so-well-trained-for at self-checkouts: the passenger might be given control of the vehicle in such situations (e.g. loss of network connection).
Who handles liability if you get into an accident? When does it take control of the vehicle away? The most likely scenario is the car pulls over safely and asks you to get out or wait.
There are _many_ people who cannot or will not driver. They won't just take over control of a vehicle they're unfamiliar with. Teenagers, the elderly, people without a driver's license, people injured, ...
Not going to happen, too many risks. If anything, the future is autonomous vehicles without a steering wheel. I am expecting Waymo to invest into that next, after they finish expanding into several states and prove their growth and monetization strategy.
This five year prediction seems odd to me. Autonomous vehicles have to navigate in a world that was designed for human driven vehicles. If you were to design an autonomous transportation system in the middle of New Mexico from scratch it would almost certainly look nothing like what we have today which is comprised primarily of visual cues designed to be highly noticeable to human eyesight. That’s to say nothing of cars themselves being designed around the assumption of a human driver.
I guess what I’m trying to say is that it’s very difficult to imagine that if AVs take over let’s say over the next 30 years that the end result will still be running on the same infrastructure we rely on today and that if we will still be a society where most people drive most of the time that AVs will really be all that transformative in the first place since they would be filling a sizeable but still relatively small use case- taking a cab around a major city. I can’t tell whether it’s the amazement of seeing a driverless vehicle or the actual utility of it that generates the excitement
In the United States? That discounts how resistive to change and fragmented the various municipalities that own all the roadways are. The various states can't even mandate a shared speed limit, they are not going to all agree to (and pay for) retrofitting all of their traffic lights to a single standard.
Yeah, a beacon isn't that useful unless you want to require that all pedestrians wear them as well. The only self-driving-car-related serious injuries/deaths I can remember are Uber hitting a pedestrian and Cruise running over a pedestrian.
I think the biggest issue right now is economics and the logistics of expanding and getting a lot of vehicles, but this is easy compared to building a proof of concept of a robotaxi service. It's now just a matter of iteration and economies of scale.
They can already handle quite heavy rain and fog, the only thing missing is snow.
The economic side of Waymo still makes absolutely no sense to me. Uber, with no heavy capital investment, has been pretty much unprofitable for over a decade. The car companies are low margin. The taxi companies are low margin. Alphabet has like 30% profit margins. Waymo's business proposition is 1) to own a very capital-intensive fleet of bespoke cars with no resale value, 2) employ an extremely expensive team of engineers to develop autonomous driving for them, 3) use this incredible capital investment to try to undercut an industry that is already barely or not at all profitable and earn back their 10s of billions of dollars in investment (and 10s of billions more of costs in the future), one taxi ride at a time.
And that's completely ignoring their issue with surges, as their robot car supply is inherently fixed - they either don't intend to handle surges, or intend to have low utilization of their fleet.
The business case of their robotaxi service is simple, they aim for substantially lower costs compared to traditional taxi services and personal car ownership.
The cost per vehicle could get to something like $50k in the long-term, labor costs could get to maybe 2 people per 10 vehicles and utilization would be substantially higher compared to personally-owned cars.
The vehicles are / will be designed to last for a long time, Dolgov used 400k miles in his napkin calculation.
They can charge more because the user experience is better, so not only lower cost per mile but also higher price.
Cost of developing the technology will become negligible with scale, it's a fixed cost.
They're not just competing with other taxi services, but with all types of road transport. It's a technology that has the potential to be used by most people on the planet, daily.
Regarding surges, there are multiple ways to deal with it, for example surge pricing (which would motivate people to use the service when utilization is low) or using free capacity for delivery.
Their unit costs are at least break-even in San Francisco, and this is with their 5th gen vehicle, 6th gen is supposed to be much cheaper.
I am expecting Waymo to launch their own autonomous vehicle with a simplified body, no steering wheel, etc. They can bring down the cost as they scale. Resale value is not something they should be concerned with, it's a specialized transport that can be utilized for a fairly long time.
I’ve wanted to build a little companion robot that has internet connectivity through wifi and an android phone/tablet as a “face” combined with LLMs and all the other crazy AI tools launched lately to just be able to move around in a room and hold basic kid-friendly conversations. I realize this is probably an iceberg of a project with many complexities, but it does seem like the tooling/infrastructure is available now for something like this
Yes, this seems like a natural extension of the AI advancements over the past few years. I wouldn’t be surprised if there’s already an open-source project that accomplishes exactly this using Legos and Arduino
As a competitor, getting alerts about roles another company is hiring for can be very interesting. Combine it with trends of postings over time…