1,131 karma · joined March 27, 2019
The Ray-Bans are also a weird anomaly since they’re leaning on the Ray-Bans designer pricing to justify a lot of the cost. If you’re already buying a pair of luxury sunglasses that cost close to $200, what’s another $100 to get the smart version?
Edit: If it’s any consolation, I did know people who were truly addicted to gaming in college. They couldn’t manage their time and were on academic probation by the end of freshman year. Slept through multiple finals because they were up late playing league of legends. Never got any internships. Your kid doesn’t sound like the people I knew who really couldn’t manage their time. Also, Freshman year is generally academically the rockiest. A 3.0 is fine. The kids I knew who really couldn’t cut it were failing by the end of their first semester. And this is at a far less competitive program than where your kid is at.
It’s honestly a little weird that you’re this into your child’s business after they’ve gone off to college, especially since this doesn’t even seem like a major crises (drug or alcohol problem, major psychiatric crisis) that I saw a ton of people go through in college.
Assuming they’re not failing, that they even got an internship after their first year shows a ton of initiative. I wouldn’t be too worried.
It does sound like you might be a helicopter parent though. In that case, did they get this internship largely of their own initiative or is it something you pushed them into?
Almost all of the generative 3D models you see are actually generative image models that essentially (very crude simplification) perform something like photogrammetry to generate a 3D model - 'does this 3D object, rendered from 25 different views, match the text prompt as evaluated by this model trained on text-image pairs'?
This is a shitty way to generate 3D models, and it's why they almost all look kind of malformed.
Someone else in these comments mentioned:
- Fuck spending 3 hours working out why you’re not able to use relative image paths in MDX files and have to shove everything in /public.
- Fuck fighting five layers of configuration and bundlers and libraries and GitHub issues to try and load a WASM file without having the whole thing break.
These were both issues we had to deal with, and similarly lost many hours to trying to resolve.
At one point you guys seemed to have shipped a release that, for some large fraction of users, caused the devserver to start OOMing rapidly. When this started happening to me, I spent about a day trying to debug it, since I assumed that such an a huge and imminent issue would arise from my mistake, not the web framework's. I eventually texted a friend of mine about the problem, only for him to tell me that they had been having the same issue, and linked to this thread.
https://github.com/vercel/next.js/issues/54708
Working with a web framework that's so unstable that fundamental features like the devserver break periodically isn't fun. I stop trusting the web framework, and when a bug arises I find myself having to check both my own code and Next's. Now this applies to some degree with any open source framework, of course - there's bugs in everything. But I have so little trust for Next at this point. We've collectively lost weeks of eng hours to just dealing with quirks of Next.
Right now we're really affected by the fact that the recommended way to cache database connection objects is broken in our repo (and some other users' repos, evidently).
https://github.com/vercel/next.js/issues/47099
This is another example of something where I naively assumed that the error was on my end, and spent days trying to debug our database configuration, hosting provider, etc, before realizing that at some point something broke and the recommended way of persisting these connections on the global object doesn't work anymore. What's the point of using a framework if I have to question whether it's working correctly every time an error arises?
This is the broad consensus among everyone else I know using Next - they felt like the Next 13 release and the app router was a rug pull from a previously pleasant experience.
And whenever you complain about this or ask for support, some devrel guy from Vercel shows up in your replies, saying something to the effect of "Wow! That's crazy, we worked really hard on Next 13! This is my first time hearing about this!"
Edit: Since I know the devrel guys are in this thread: If you want people to keep using Next, something fundamental about how you guys write the framework needs to change. The instability and lack of documentation makes developing with your framework a massive pain in the ass - anyone I know who can is migrating off it as quickly as possible.
I worked in the AV space for years - not at Cruise - but during one of my first driverless rides in a Cruise car, we ran into a few blocks of SF where the power was out. About 3 street lights in a row weren't functioning. At each one the Cruise stopped completely for about 45 seconds before crossing - even if there was no traffic coming from it's left or right. That delay was so that a remote operator could clear it to proceed after it detected that there wasn't a functioning street light where it expected there to be one. After the first street light we were getting honked at and swerved around by cars behind us while it paused and waited for clarification.
Comparisons between the safety of robotaxis and human drivers are strange to make when 'robotaxis' still depend on remote operators for fundamental parts of the driving task
Whether this turns into something requiring external help or evacuation depends on what portion of the attendees really are on top of their shit in 2023.
That said, I’d bet a sizable fraction of the attendees are completely unprepared or dependent on others to get them ready. Probably people will share extra supplies with them. Maybe this entire event will expose just how commercialized it’s gotten.
For a long while whenever Midjourney or DALLE-mini or the other models underperformed or failed to match a prompt the common refrain seemed to be "ah, but these are just the smaller version of the real impressive text2image models - surely they'd perform better on this prompt". Honestly, I don't think it performs dramatically better than DALLE-mini or Midjourney - in some cases I even think DALLE-mini outperforms it for whatever reason. Maybe because of filtering applied by OpenAI?
What difference there is seems to be a difference in quality on queries that work well, not a capability to tackle more complex queries. If you try a sentence involving lots of relationships between objects in the scene, DALLE will still generate a mishmash of those objects - it'll just look like a slightly higher quality mishmash than from DALLE-mini. And on queries that it does seem to handle well, there's almost always something off with the scene if you spend more than a moment inspecting it. I think this is why there's such a plethora of stylized and abstract imagery in the examples of DALLE's capabilities - humans are much more forgiving of flaws in those images.
I don't think artists should be afraid of being replaced by text2image models anytime soon. That said, I have gotten access to other large text2image models that claim to outperform DALLE on several metrics, and my experience matched with that claim - images were more detailed and handled relationships in the scene better than DALLE does. So there's clearly a lot of room for improvement left in the space.