We did the same for our app as well. I wrote a little library to make it as simple as FastAPI to generate swagger specs - you can try it out - https://github.com/sleeksky-dev/alt-swagger .
Over last 6 months, since their latest upgrade, I have been driving my Tesla mostly on FSD. And it is nothing short of amazing, out of this world. The car drives like a pro and exceptions have become very rare. You have to drive this to believe it. Unlike Waymo which is full of gizmos, this is just a regular car that drives itself. The bet on camera and simplified architecture shows here.
If you just extrapolate what has already been possible and bet on the pace of growth of AI algorithms and techniques, robotaxi is almost a certainity and humanoid robots a possibility.
We've all been reading this exact comment for years now. Maybe it's actually different this time, I don't know.
What I do know is that I took multiple Waymo rides last week where those "gizmos" delivered a safe drive with no one in the driver's seat and zero unsafe exceptions. "Very rare exceptions" isn't even close to good enough for me to put my kid's life at stake.
Why would I care whether Tesla has maybe gotten closer to what they've been promising for a decade, but still having "very rare" extremely unsafe exceptions, when Waymo is objectively delivering full level 4 self driving to hundreds of thousands of people per week with an essentially flawless safety record?
It has felt much much better in recent months. Did a drive from SF to Yosemite that was basically fully autonomous - can’t do that on Waymo. That being said, I still had two issues in the city where it completely screwed up by being in the wrong lane. Humans make the same error but my one concern was that it doesn’t realize it’s in the wrong lane and try to safely just go the wrong direction and recover and instead just tries to take the “correct” route at all costs which can be a safety issue.
I agree that Waymo is generally safer for in city driving. It’s still not technically fully autonomous even though it appears that way; it has a lot of support people on the backend to resolve when the cars get stuck and whatnot. Waymo still can’t go on the highway or leave well-defined city limits whereas I can use my Tesla on every trip I’ve taken. I think comma.ai is a closer comparison point at this time as I can’t have a Waymo for my own personal use that I can take anywhere whenever.
"Humans make the same error but my one concern was that it doesn’t realize it’s in the wrong lane"
This is actually very deadly.. at least humans will signal / try do something in a safe manner to continue going on. An autonomous vehicle may behave in unpredictable ways and cause carnage. It only takes one incident to completely shutter it forever.
> at least humans will signal / try do something in a safe manner to continue going on
Your experience must be very different. I've been on the road long enough to know that humans will try all sorts of things to not avoid missing the turn & Tesla behaved very similarly.
FWIW, it was signalling all the right ways and no collision seemed imminent and I doubt it would have gotten into an accident. I just didn't want it acting like an asshole on the road and didn't trust it enough to let the situation play out by itself.
As someone that has driven thousands of miles, and encountered some interesting roundabouts and junctions - I cannot relate to your experience whatsoever.
"I just didn't want it acting like an asshole on the road and didn't trust it enough to let the situation play out by itself."
So basically you had to intervene and it doesnt meet the standard of a fully autonomous vehicle. Do all the mental gymnastics all you want mate lmao.
It's not too much effort to find µBlock Origin filter lists that hide them. The only time I see YouTube shorts is when I deliberately navigate to the shorts tab on a channel page.
He literally just told you the solution. Install uBlock Origin on your teens' phone and use the right filter list. Unless of course, they are smart enough.
Yup. But apparently it seems like it might work for him. I do not know. They are probably smart enough to disable the extension. There are many other, fool-proof ways though.
If I sell an apple for one gold coin, that gold coin will probably fetch me two apples in the future. Which happens for a resource whose need is growing while supply is limited. This also means my gold appreciated without me generating any value over time. It creates an incentive to save and not spend.
Therein lies the problem with gold, which is why a decoupled currency was required. A natural resource such as gold or bitcoin, appreciates as the economy grows, which in turn slows the economy down. With a printable currency, a country can control inflation or depreciate past value to create agony for people who have to continuously work to create more value. That is what forces nation-building and what capitalism helps with.
Dollar worked. And it won't be replaced with a fixed resource such as gold or bitcoins. But as the article mentions, it may not remain unique. That will be very interesting though, since the world has never experienced those dynamics before.
The comments here seem mostly against DOGE, but I have seen the waste in these organizations firsthand, and we all pay for it. Musk hopes to cut spending by 10%, but that is only because he is limited in what he can do. A Twitter-style cleanup would at least reduce it by 50%, but it is not feasible. Know that those 10% or 50% directly map to a percentage of your income and lifestyle directly (higher taxes) or indirectly (higher inflation).
I worked for years helping procure government grants and saw how it was used. People who have lived in just one place (aka. California) and have nothing to compare don't realize the amount of waste happening here. The cities that collect the highest taxes have the infrastructure and facilities of a poor town. The prop monies go down the drain or are grossly misspent all the time. DOGE is necessary and needs this level of access and authority to make this scale of change in such a short time.
I don't think this is a practical solution. And it does not solve the underlying issue, which is the attention economy.
Here's a better solution option that is easier to implement; even adults can benefit, and I think it solves some of the problems:
1. Have an easy option to turn off feeds and enforce for non-adults. This would apply not just to meta, twitter, but also to Youtube, LinkedIn, etc.
2. Disable like display. The like counts are what hooks people and gives the dopamine kick. Add the ability to hide it and not show for under 18 easily.
3. Social and news sites should not be allowed to send notifications, period. Not on phones or browsers, at least not for those under 18.
Something along these lines would improve social media for everyone, not just kids. Parents' mental health affects kids the same. So blocking it just for kids only goes so far.
Building a single tenant system is 10x simpler than building a multi-tenant SaaS. App development is so much faster these days and you can build a significant system with just couple of remote devs. Even easier when there is an app from which they can copy from.
Quant has been about finding secrets/patterns that no one knows. Secrets because once they are known, the benefits go away or are greatly reduced.
Rather than finding patterns in historical numbers, LLM can help quantify the current world in ways not possible before. This opens up a new world of finding new secrets.
I think this is a different case. The purpose of OpenAI could not have been achieved had it not been converted to a for-profit organization. Profits are necessary since they incentivize the innovation that AI calls for. Non-profits can never achieve these.
Today we all benefit from OpenAI, but its the for-profit Open AI that made it possible. How else would they spend billions on compute and take those large risks, on whose money?
Create social networks by verticals, and later cross integrate it. Too many problems with LinkedIn - cannot find a handyman on it, plumber on it, hard to get relevant recommendations, professional networks are a chaos, no proximity features, student profiles are not that good, not personalized to industries/professions etc.
