5,563 karma · joined November 27, 2013
MacOS routinely eats 30-40 GB of HD space in Volumes/Preboot and "macOS Install Data" for god knows what. Plus even a bare bones XCode installation will cost around 20 GB, much more if you actually want to run your code on connected devices.
But of course saving disk space is not exactly #1 on Apple's priority list when the 512 GB and 1 TB disk upgrades sell at 80% margin.
My project has well over half a million lines of code. I'm using an IDE (in my case Qt Creator) for a reason. I'd love to get help from an LLM but CLI or external browser windows just aren't the way. The overhead of copy/paste and lack of context is a deal breaker unfortunately.
In case I'm missing something, please let me know. I'm always happy to learn.
1. Maximize attention on social media by being super obnoxious and arrogant ("dawg I ChatGPT’d the license")
2. 1 day later while the chatter is still going, write a mea culpa and take on the poor victim role ("grew up in a single mother household on government subsidies")
3. --> Repair most of the reputational damage but keep all the attention.
None of this is illegal, but it's exploiting a system of mutual trust and I wouldn't want to live in a world where everybody acted like that.
And no, the usual robotics stack is not going away anytime soon. Maybe develop some actual useful robots before posting like an expert on robotics topics.
No, it's not an OS for robotics. You can't do actual robotics stuff with it, like drive actuators to control limbs or grippers, do motion control or SLAM or perception or any of the usual robotics stack.
Their website correctly says openpilot is an open source advanced driver assistance system that works on 275+ car models of Toyota, Hyundai, Honda, and many other brands. Should've stuck to that.
Thinking about it some more, it's probably just another engagement baiting strategy to get attention and I'm their gullible puppet. Well played.
If they called it a choice of basis or influence function, it would've been so much clearer.
Am I the only one who has trouble understanding what is meant by this? What is the exact operation that's referred to here?
I know box filters in the context of 2D image filtering and they're straightforward but the concept of applying them to shapes just doesn't make any sense to me.
Can someone clarify?
GitLab (or whoever ends up buying it) could acquire Linear.app for example and eat Atlassian's lunch.
If Webflow had a competitor with same functionality and reasonable pricing I'd gladly pay for that.
A visual editor that produces plain old HTML, CSS, JS and that anyone in our company can use to make changes to pages or create new ones. That's it.
I don't think it exists (if so, pointers would be very welcome!), so here's my comment to incentivize someone to build it.
I'd like to dump our product knowledge base (emails, tickets, support articles, etc..) into a Project and then create an embeddable chat-bot from it that can handle customer support right from our website.
Most support requests we get are similar or equal to previous requests. It could help our support staff save a lot of time to focus on the requests that actually matter.
We already have very efficient second-order methods running on classical hardware [1] but they are basically not being used at all in practice, as they are outperformed by ADAM and other 1st-order methods. This is because optimizing highly nonlinear loss functions, such as the ones in deep learning models, only really works with very low learning rates, regardless of whether a 1st or a 2nd order method is used. So, comparatively speaking, a 2nd order method might give you a slightly better parameter update per step but at a more-than-slightly-higher cost, so most of the time it's simply not worth doing.
[1] https://andrew.gibiansky.com/blog/machine-learning/hessian-f...
Germany is really great in treating its citizens like infants and it shows.
In case it is not abundantly clear by now: Apple's AI strategy is to put inference (and longer term even learning) on edge devices. This is completely coherent with their privacy-first strategy (which would be at odds with sending data up to the cloud for processing).
Processing data at the edge also makes for the best possible user experience because of the complete independence of network connectivity and hence minimal latency.
If (and that's a big if) they keep their APIs open to run any kind of AI workload on their chips it's a strategy that I personally really really welcome as I don't want the AI future to be centralised in the hands of a few powerful cloud providers.
There are hobbies we do out of pure enjoyment. E.g. for me personally this is (choir-)singing. I know so many people who are better singers than I am (or ever will be) yet I couldn't care less. I am 100% happy with my skill level. If anyone else comes to the conclusion that somebody else is a better singer than I, they're probably right!
Then there are hobbies we do b/c we like the skill itself or b/c we want to have what comes with it. E.g. when I do a SW or HW side-project I really do want to create the best product (as niche-y as it might be) and yes, I do care a great deal about whether others like it or not. Put simply I want to be the best b/c I can be the best. I couldn't imagine doing this just for fun. TBH the whole idea of just-for-fun side projects sounds absurd to me.
Artists' biggest challenges today aren't related to making music. They're related to marketing, building networks, building their brand, touring and physically playing shows, getting eyeballs on social media. For every artist that "makes it" there are 100s with equally good skills / product who don't b/c they fall short in any of the above.
So when AI lowers the entry barrier to allow millions to make music that before were limited by their skills, that's great! However those millions of people were never capable or even interested in marketing or selling their art in the first place, so the market competition to serious artists is quite limited.
TLDR: Music is and will be an overcrowded marketplace where brand matters a lot more than skill. AI helps with the skill but not with the brand.